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Smith T, Olagunju T, Rosen B, Neibergs H, Becker G, Davenport K, Elsik C, Hadfield T, Koren S, Kuhn K, Rhie A, Shira K, Skibiel A, Stegemiller M, Thorne J, Villamediana P, Cockett N, Murdoch B. The first complete T2T Assemblies of Cattle and Sheep Y-Chromosomes uncover remarkable divergence in structure and gene content. Res Sq 2024:rs.3.rs-4033388. [PMID: 38712074 PMCID: PMC11071540 DOI: 10.21203/rs.3.rs-4033388/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Reference genomes of cattle and sheep have lacked contiguous assemblies of the sex-determining Y chromosome. We assembled complete and gapless telomere to telomere (T2T) Y chromosomes for these species. The pseudo-autosomal regions were similar in length, but the total chromosome size was substantially different, with the cattle Y more than twice the length of the sheep Y. The length disparity was accounted for by expanded ampliconic region in cattle. The genic amplification in cattle contrasts with pseudogenization in sheep suggesting opposite evolutionary mechanisms since their divergence 18MYA. The centromeres also differed dramatically despite the close relationship between these species at the overall genome sequence level. These Y chromosome have been added to the current reference assemblies in GenBank opening new opportunities for the study of evolution and variation while supporting efforts to improve sustainability in these important livestock species that generally use sire-driven genetic improvement strategies.
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Hickey G, Monlong J, Ebler J, Novak AM, Eizenga JM, Gao Y, Marschall T, Li H, Paten B, Abel HJ, Antonacci-Fulton LL, Asri M, Baid G, Baker CA, Belyaeva A, Billis K, Bourque G, Buonaiuto S, Carroll A, Chaisson MJP, Chang PC, Chang XH, Cheng H, Chu J, Cody S, Colonna V, Cook DE, Cook-Deegan RM, Cornejo OE, Diekhans M, Doerr D, Ebert P, Ebler J, Eichler EE, Eizenga JM, Fairley S, Fedrigo O, Felsenfeld AL, Feng X, Fischer C, Flicek P, Formenti G, Frankish A, Fulton RS, Gao Y, Garg S, Garrison E, Garrison NA, Giron CG, Green RE, Groza C, Guarracino A, Haggerty L, Hall IM, Harvey WT, Haukness M, Haussler D, Heumos S, Hickey G, Hoekzema K, Hourlier T, Howe K, Jain M, Jarvis ED, Ji HP, Kenny EE, Koenig BA, Kolesnikov A, Korbel JO, Kordosky J, Koren S, Lee H, Lewis AP, Li H, Liao WW, Lu S, Lu TY, Lucas JK, Magalhães H, Marco-Sola S, Marijon P, Markello C, Marschall T, Martin FJ, McCartney A, McDaniel J, Miga KH, Mitchell MW, Monlong J, Mountcastle J, Munson KM, Mwaniki MN, Nattestad M, Novak AM, Nurk S, Olsen HE, Olson ND, Paten B, Pesout T, Phillippy AM, Popejoy AB, Porubsky D, Prins P, Puiu D, Rautiainen M, Regier AA, Rhie A, Sacco S, Sanders AD, Schneider VA, Schultz BI, Shafin K, Sibbesen JA, Sirén J, Smith MW, Sofia HJ, Tayoun ANA, Thibaud-Nissen F, Tomlinson C, Tricomi FF, Villani F, Vollger MR, Wagner J, Walenz B, Wang T, Wood JMD, Zimin AV, Zook JM. Pangenome graph construction from genome alignments with Minigraph-Cactus. Nat Biotechnol 2024; 42:663-673. [PMID: 37165083 PMCID: PMC10638906 DOI: 10.1038/s41587-023-01793-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 04/18/2023] [Indexed: 05/12/2023]
Abstract
Pangenome references address biases of reference genomes by storing a representative set of diverse haplotypes and their alignment, usually as a graph. Alternate alleles determined by variant callers can be used to construct pangenome graphs, but advances in long-read sequencing are leading to widely available, high-quality phased assemblies. Constructing a pangenome graph directly from assemblies, as opposed to variant calls, leverages the graph's ability to represent variation at different scales. Here we present the Minigraph-Cactus pangenome pipeline, which creates pangenomes directly from whole-genome alignments, and demonstrate its ability to scale to 90 human haplotypes from the Human Pangenome Reference Consortium. The method builds graphs containing all forms of genetic variation while allowing use of current mapping and genotyping tools. We measure the effect of the quality and completeness of reference genomes used for analysis within the pangenomes and show that using the CHM13 reference from the Telomere-to-Telomere Consortium improves the accuracy of our methods. We also demonstrate construction of a Drosophila melanogaster pangenome.
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Affiliation(s)
- Glenn Hickey
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
- These authors contributed equally: Glenn Hickey, Jean Monlong
| | - Jean Monlong
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
- These authors contributed equally: Glenn Hickey, Jean Monlong
| | - Jana Ebler
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Adam M. Novak
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Jordan M. Eizenga
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Yan Gao
- Center for Computational and Genomic Medicine, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | | | - Tobias Marschall
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Heng Li
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | | | - Haley J. Abel
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Mobin Asri
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | | | - Carl A. Baker
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Konstantinos Billis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Guillaume Bourque
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- Canadian Center for Computational Genomics, McGill University, Montreal, QC, Canada
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan
| | - Silvia Buonaiuto
- Institute of Genetics and Biophysics, National Research Council, Naples, Italy
| | | | - Mark J. P. Chaisson
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | | | - Xian H. Chang
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Haoyu Cheng
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Justin Chu
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Sarah Cody
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Vincenza Colonna
- Institute of Genetics and Biophysics, National Research Council, Naples, Italy
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | | | - Robert M. Cook-Deegan
- Arizona State University, Barrett and O’Connor Washington Center, Washington, DC, USA
| | - Omar E. Cornejo
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Daniel Doerr
- Center for Digital Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Peter Ebert
- Center for Digital Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Core Unit Bioinformatics, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Jana Ebler
- Center for Digital Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Jordan M. Eizenga
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Susan Fairley
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Adam L. Felsenfeld
- National Institutes of Health (NIH)–National Human Genome Research Institute, Bethesda, MD, USA
| | - Xiaowen Feng
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Christian Fischer
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Adam Frankish
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Robert S. Fulton
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Yan Gao
- Center for Computational and Genomic Medicine, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Shilpa Garg
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Copenhagen, Denmark
| | - Erik Garrison
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Nanibaa’ A. Garrison
- Institute for Society and Genetics, College of Letters and Science, University of California, Los Angeles, Los Angeles, CA, USA
- Institute for Precision Health, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Carlos Garcia Giron
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Richard E. Green
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
- Dovetail Genomics, Scotts Valley, CA, USA
| | - Cristian Groza
- Quantitative Life Sciences, McGill University, Montreal, QC, Canada
| | - Andrea Guarracino
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
- Genomics Research Centre, Human Technopole, Milan, Italy
| | - Leanne Haggerty
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Ira M. Hall
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- Center for Genomic Health, Yale University School of Medicine, New Haven, CT, USA
| | - William T. Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Marina Haukness
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - David Haussler
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Simon Heumos
- Quantitative Biology Center (QBiC), University of Tübingen, Tübingen, Germany
- Biomedical Data Science, Department of Computer Science, University of Tübingen, Tübingen, Germany
| | - Glenn Hickey
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
- These authors contributed equally: Glenn Hickey, Jean Monlong
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Thibaut Hourlier
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Kerstin Howe
- Tree of Life, Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | - Miten Jain
- Northeastern University, Boston, MA, USA
| | - Erich D. Jarvis
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - Hanlee P. Ji
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Eimear E. Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Barbara A. Koenig
- Program in Bioethics and Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | | | - Jan O. Korbel
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
- European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Jennifer Kordosky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - HoJoon Lee
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Alexandra P. Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Heng Li
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Wen-Wei Liao
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- Center for Genomic Health, Yale University School of Medicine, New Haven, CT, USA
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Shuangjia Lu
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Tsung-Yu Lu
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Julian K. Lucas
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Hugo Magalhães
- Center for Digital Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Santiago Marco-Sola
- Computer Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain
- Departament d’Arquitectura de Computadors i Sistemes Operatius, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Pierre Marijon
- Center for Digital Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Charles Markello
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Tobias Marschall
- Center for Digital Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Fergal J. Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Ann McCartney
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jennifer McDaniel
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Karen H. Miga
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | | | - Jean Monlong
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
- These authors contributed equally: Glenn Hickey, Jean Monlong
| | | | - Katherine M. Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | | | | | - Adam M. Novak
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Sergey Nurk
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hugh E. Olsen
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Nathan D. Olson
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Trevor Pesout
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Adam M. Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alice B. Popejoy
- Department of Public Health Sciences, University of California, Davis, Davis, CA, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Pjotr Prins
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Daniela Puiu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Mikko Rautiainen
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Allison A. Regier
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Samuel Sacco
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Ashley D. Sanders
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Valerie A. Schneider
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Baergen I. Schultz
- National Institutes of Health (NIH)–National Human Genome Research Institute, Bethesda, MD, USA
| | | | - Jonas A. Sibbesen
- Center for Health Data Science, University of Copenhagen, Copenhagen, Denmark
| | - Jouni Sirén
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Michael W. Smith
- National Institutes of Health (NIH)–National Human Genome Research Institute, Bethesda, MD, USA
| | - Heidi J. Sofia
- National Institutes of Health (NIH)–National Human Genome Research Institute, Bethesda, MD, USA
| | - Ahmad N. Abou Tayoun
- Al Jalila Genomics Center of Excellence, Al Jalila Children’s Specialty Hospital, Dubai, UAE
- Center for Genomic Discovery, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Chad Tomlinson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Francesca Floriana Tricomi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Flavia Villani
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Mitchell R. Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Division of Medical Genetics, University of Washington School of Medicine, Seattle, WA, USA
| | - Justin Wagner
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Brian Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ting Wang
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Aleksey V. Zimin
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Justin M. Zook
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
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3
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Koren S, Bao Z, Guarracino A, Ou S, Goodwin S, Jenike KM, Lucas J, McNulty B, Park J, Rautiainen M, Rhie A, Roelofs D, Schneiders H, Vrijenhoek I, Nijbroek K, Ware D, Schatz MC, Garrison E, Huang S, McCombie WR, Miga KH, Wittenberg AH, Phillippy AM. Gapless assembly of complete human and plant chromosomes using only nanopore sequencing. bioRxiv 2024:2024.03.15.585294. [PMID: 38529488 PMCID: PMC10962732 DOI: 10.1101/2024.03.15.585294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
The combination of ultra-long Oxford Nanopore (ONT) sequencing reads with long, accurate PacBio HiFi reads has enabled the completion of a human genome and spurred similar efforts to complete the genomes of many other species. However, this approach for complete, "telomere-to-telomere" genome assembly relies on multiple sequencing platforms, limiting its accessibility. ONT "Duplex" sequencing reads, where both strands of the DNA are read to improve quality, promise high per-base accuracy. To evaluate this new data type, we generated ONT Duplex data for three widely-studied genomes: human HG002, Solanum lycopersicum Heinz 1706 (tomato), and Zea mays B73 (maize). For the diploid, heterozygous HG002 genome, we also used "Pore-C" chromatin contact mapping to completely phase the haplotypes. We found the accuracy of Duplex data to be similar to HiFi sequencing, but with read lengths tens of kilobases longer, and the Pore-C data to be compatible with existing diploid assembly algorithms. This combination of read length and accuracy enables the construction of a high-quality initial assembly, which can then be further resolved using the ultra-long reads, and finally phased into chromosome-scale haplotypes with Pore-C. The resulting assemblies have a base accuracy exceeding 99.999% (Q50) and near-perfect continuity, with most chromosomes assembled as single contigs. We conclude that ONT sequencing is a viable alternative to HiFi sequencing for de novo genome assembly, and has the potential to provide a single-instrument solution for the reconstruction of complete genomes.
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Affiliation(s)
- Sergey Koren
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zhigui Bao
- Department of Molecular Biology, Max Planck Institute for Biology Tübingen, Tübingen, BadenWürttemberg, Germany
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Andrea Guarracino
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee, USA
- Human Technopole, Milan, Italy
| | - Shujun Ou
- Ohio State University, Columbus, OH, USA
| | - Sara Goodwin
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Katharine M. Jenike
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Julian Lucas
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Brandy McNulty
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Jimin Park
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Mikko Rautiainen
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Arang Rhie
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Dick Roelofs
- KeyGene, Agro Business Park 90, 6708 PW Wageningen, Netherlands
| | | | - Ilse Vrijenhoek
- KeyGene, Agro Business Park 90, 6708 PW Wageningen, Netherlands
| | - Koen Nijbroek
- KeyGene, Agro Business Park 90, 6708 PW Wageningen, Netherlands
| | - Doreen Ware
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Michael C. Schatz
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Erik Garrison
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Sanwen Huang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- State Key Laboratory of Tropical Crop Breeding, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan, China
| | | | - Karen H. Miga
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | - Adam M. Phillippy
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
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4
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Bukhman YV, Morin PA, Meyer S, Chu LF, Jacobsen JK, Antosiewicz-Bourget J, Mamott D, Gonzales M, Argus C, Bolin J, Berres ME, Fedrigo O, Steill J, Swanson SA, Jiang P, Rhie A, Formenti G, Phillippy AM, Harris RS, Wood JMD, Howe K, Kirilenko BM, Munegowda C, Hiller M, Jain A, Kihara D, Johnston JS, Ionkov A, Raja K, Toh H, Lang A, Wolf M, Jarvis ED, Thomson JA, Chaisson MJP, Stewart R. A High-Quality Blue Whale Genome, Segmental Duplications, and Historical Demography. Mol Biol Evol 2024; 41:msae036. [PMID: 38376487 PMCID: PMC10919930 DOI: 10.1093/molbev/msae036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 01/11/2024] [Accepted: 01/22/2024] [Indexed: 02/21/2024] Open
Abstract
The blue whale, Balaenoptera musculus, is the largest animal known to have ever existed, making it an important case study in longevity and resistance to cancer. To further this and other blue whale-related research, we report a reference-quality, long-read-based genome assembly of this fascinating species. We assembled the genome from PacBio long reads and utilized Illumina/10×, optical maps, and Hi-C data for scaffolding, polishing, and manual curation. We also provided long read RNA-seq data to facilitate the annotation of the assembly by NCBI and Ensembl. Additionally, we annotated both haplotypes using TOGA and measured the genome size by flow cytometry. We then compared the blue whale genome with other cetaceans and artiodactyls, including vaquita (Phocoena sinus), the world's smallest cetacean, to investigate blue whale's unique biological traits. We found a dramatic amplification of several genes in the blue whale genome resulting from a recent burst in segmental duplications, though the possible connection between this amplification and giant body size requires further study. We also discovered sites in the insulin-like growth factor-1 gene correlated with body size in cetaceans. Finally, using our assembly to examine the heterozygosity and historical demography of Pacific and Atlantic blue whale populations, we found that the genomes of both populations are highly heterozygous and that their genetic isolation dates to the last interglacial period. Taken together, these results indicate how a high-quality, annotated blue whale genome will serve as an important resource for biology, evolution, and conservation research.
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Affiliation(s)
- Yury V Bukhman
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Phillip A Morin
- Southwest Fisheries Science Center, National Oceanic and Atmospheric Administration (NOAA), La Jolla, CA 92037, USA
| | - Susanne Meyer
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
| | - Li-Fang Chu
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
- Department of Comparative Biology and Experimental Medicine, University of Calgary, Calgary, Canada
| | | | | | - Daniel Mamott
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Maylie Gonzales
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
| | - Cara Argus
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Jennifer Bolin
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Mark E Berres
- University of Wisconsin Biotechnology Center, Bioinformatics Resource Center, University of Wisconsin - Madison, Madison, WI 53706, USA
| | - Olivier Fedrigo
- Vertebrate Genome Lab, The Rockefeller University, New York, NY 10065, USA
| | - John Steill
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Scott A Swanson
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Peng Jiang
- Center for Gene Regulation in Health and Disease (GRHD), Cleveland State University, Cleveland, OH, USA
- Department of Biological, Geological and Environmental Sciences, Cleveland State University, Cleveland, OH, USA
- Center for RNA Science and Therapeutics, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Arang Rhie
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Giulio Formenti
- Laboratory of Neurogenetics of Language, The Rockefeller University/HHMI, New York, NY 10065, USA
| | - Adam M Phillippy
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Robert S Harris
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
| | | | - Kerstin Howe
- Tree of Life, Wellcome Sanger Institute, Cambridge CB10 1SA, UK
| | - Bogdan M Kirilenko
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Institute of Cell Biology and Neuroscience, Faculty of Biosciences, Goethe University Frankfurt, 60438 Frankfurt, Germany
| | - Chetan Munegowda
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Institute of Cell Biology and Neuroscience, Faculty of Biosciences, Goethe University Frankfurt, 60438 Frankfurt, Germany
| | - Michael Hiller
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Institute of Cell Biology and Neuroscience, Faculty of Biosciences, Goethe University Frankfurt, 60438 Frankfurt, Germany
| | - Aashish Jain
- Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA
| | - Daisuke Kihara
- Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA
- Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA
| | - J Spencer Johnston
- Department of Entomology, Texas A&M University, College Station, TX 77843, USA
| | - Alexander Ionkov
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Kalpana Raja
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Huishi Toh
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
| | - Aimee Lang
- Southwest Fisheries Science Center, National Oceanic and Atmospheric Administration (NOAA), La Jolla, CA 92037, USA
| | - Magnus Wolf
- Institute for Evolution and Biodiversity (IEB), University of Muenster, 48149, Muenster, Germany
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Germany
| | - Erich D Jarvis
- Vertebrate Genome Lab, The Rockefeller University, New York, NY 10065, USA
- Laboratory of Neurogenetics of Language, The Rockefeller University/HHMI, New York, NY 10065, USA
| | - James A Thomson
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
- Department of Molecular, Cellular and Developmental Biology, University of California Santa Barbara, Santa Barbara, CA 93106, USA
- Department of Cell and Regenerative Biology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53726, USA
| | - Mark J P Chaisson
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, Los Angeles, CA 90089, USA
| | - Ron Stewart
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
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5
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Larivière D, Abueg L, Brajuka N, Gallardo-Alba C, Grüning B, Ko BJ, Ostrovsky A, Palmada-Flores M, Pickett BD, Rabbani K, Antunes A, Balacco JR, Chaisson MJP, Cheng H, Collins J, Couture M, Denisova A, Fedrigo O, Gallo GR, Giani AM, Gooder GM, Horan K, Jain N, Johnson C, Kim H, Lee C, Marques-Bonet T, O'Toole B, Rhie A, Secomandi S, Sozzoni M, Tilley T, Uliano-Silva M, van den Beek M, Williams RW, Waterhouse RM, Phillippy AM, Jarvis ED, Schatz MC, Nekrutenko A, Formenti G. Scalable, accessible and reproducible reference genome assembly and evaluation in Galaxy. Nat Biotechnol 2024; 42:367-370. [PMID: 38278971 DOI: 10.1038/s41587-023-02100-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2024]
Affiliation(s)
- Delphine Larivière
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Linelle Abueg
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Nadolina Brajuka
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Cristóbal Gallardo-Alba
- Bioinformatics Group, Department of Computer Science, Albert-Ludwigs University Freiburg, Freiburg, Germany
| | - Bjorn Grüning
- Bioinformatics Group, Department of Computer Science, Albert-Ludwigs University Freiburg, Freiburg, Germany
| | - Byung June Ko
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Alex Ostrovsky
- Departments of Biology and Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Marc Palmada-Flores
- Department of Medicine and Life Sciences (MELIS), Institut de Biologia Evolutiva, Universitat Pompeu Fabra-CSIC, Barcelona, Spain
| | - Brandon D Pickett
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Keon Rabbani
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Agostinho Antunes
- CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Porto, Portugal
- Department of Biology, Faculty of Sciences, University of Porto, Porto, Portugal
| | - Jennifer R Balacco
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Mark J P Chaisson
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Haoyu Cheng
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | | | - Melanie Couture
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Alexandra Denisova
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, Russia
| | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | | | | | | | - Kathleen Horan
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Nivesh Jain
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Cassidy Johnson
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Heebal Kim
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
- eGnome, Inc., Seoul, Republic of Korea
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Chul Lee
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - Tomas Marques-Bonet
- Department of Medicine and Life Sciences (MELIS), Institut de Biologia Evolutiva, Universitat Pompeu Fabra-CSIC, Barcelona, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Barcelona, Spain
- CNAG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
| | - Brian O'Toole
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Simona Secomandi
- Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus
| | | | - Tatiana Tilley
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | | | - Marius van den Beek
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Robert W Williams
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Robert M Waterhouse
- Department of Ecology & Evolution and Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Erich D Jarvis
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA.
| | - Michael C Schatz
- Departments of Biology and Computer Science, Johns Hopkins University, Baltimore, MD, USA.
| | - Anton Nekrutenko
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA.
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA.
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6
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Makova KD, Pickett BD, Harris RS, Hartley GA, Cechova M, Pal K, Nurk S, Yoo D, Li Q, Hebbar P, McGrath BC, Antonacci F, Aubel M, Biddanda A, Borchers M, Bomberg E, Bouffard GG, Brooks SY, Carbone L, Carrel L, Carroll A, Chang PC, Chin CS, Cook DE, Craig SJ, de Gennaro L, Diekhans M, Dutra A, Garcia GH, Grady PG, Green RE, Haddad D, Hallast P, Harvey WT, Hickey G, Hillis DA, Hoyt SJ, Jeong H, Kamali K, Kosakovsky Pond SL, LaPolice TM, Lee C, Lewis AP, Loh YHE, Masterson P, McCoy RC, Medvedev P, Miga KH, Munson KM, Pak E, Paten B, Pinto BJ, Potapova T, Rhie A, Rocha JL, Ryabov F, Ryder OA, Sacco S, Shafin K, Shepelev VA, Slon V, Solar SJ, Storer JM, Sudmant PH, Sweetalana, Sweeten A, Tassia MG, Thibaud-Nissen F, Ventura M, Wilson MA, Young AC, Zeng H, Zhang X, Szpiech ZA, Huber CD, Gerton JL, Yi SV, Schatz MC, Alexandrov IA, Koren S, O’Neill RJ, Eichler E, Phillippy AM. The Complete Sequence and Comparative Analysis of Ape Sex Chromosomes. bioRxiv 2023:2023.11.30.569198. [PMID: 38077089 PMCID: PMC10705393 DOI: 10.1101/2023.11.30.569198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2023]
Abstract
Apes possess two sex chromosomes-the male-specific Y and the X shared by males and females. The Y chromosome is crucial for male reproduction, with deletions linked to infertility. The X chromosome carries genes vital for reproduction and cognition. Variation in mating patterns and brain function among great apes suggests corresponding differences in their sex chromosome structure and evolution. However, due to their highly repetitive nature and incomplete reference assemblies, ape sex chromosomes have been challenging to study. Here, using the state-of-the-art experimental and computational methods developed for the telomere-to-telomere (T2T) human genome, we produced gapless, complete assemblies of the X and Y chromosomes for five great apes (chimpanzee, bonobo, gorilla, Bornean and Sumatran orangutans) and a lesser ape, the siamang gibbon. These assemblies completely resolved ampliconic, palindromic, and satellite sequences, including the entire centromeres, allowing us to untangle the intricacies of ape sex chromosome evolution. We found that, compared to the X, ape Y chromosomes vary greatly in size and have low alignability and high levels of structural rearrangements. This divergence on the Y arises from the accumulation of lineage-specific ampliconic regions and palindromes (which are shared more broadly among species on the X) and from the abundance of transposable elements and satellites (which have a lower representation on the X). Our analysis of Y chromosome genes revealed lineage-specific expansions of multi-copy gene families and signatures of purifying selection. In summary, the Y exhibits dynamic evolution, while the X is more stable. Finally, mapping short-read sequencing data from >100 great ape individuals revealed the patterns of diversity and selection on their sex chromosomes, demonstrating the utility of these reference assemblies for studies of great ape evolution. These complete sex chromosome assemblies are expected to further inform conservation genetics of nonhuman apes, all of which are endangered species.
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Affiliation(s)
| | - Brandon D. Pickett
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Monika Cechova
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Karol Pal
- Penn State University, University Park, PA, USA
| | - Sergey Nurk
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - DongAhn Yoo
- University of Washington School of Medicine, Seattle, WA, USA
| | - Qiuhui Li
- Johns Hopkins University, Baltimore, MD, USA
| | - Prajna Hebbar
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | | | | | | | - Erich Bomberg
- University of Münster, Münster, Germany
- MPI for Developmental Biology, Tübingen, Germany
| | - Gerard G. Bouffard
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shelise Y. Brooks
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lucia Carbone
- Oregon Health & Science University, Portland, OR, USA
- Oregon National Primate Research Center, Hillsboro, OR, USA
| | - Laura Carrel
- Penn State University School of Medicine, Hershey, PA, USA
| | | | | | - Chen-Shan Chin
- Foundation of Biological Data Sciences, Belmont, CA, USA
| | | | | | | | - Mark Diekhans
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Amalia Dutra
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gage H. Garcia
- University of Washington School of Medicine, Seattle, WA, USA
| | | | | | - Diana Haddad
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Pille Hallast
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | - Glenn Hickey
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - David A. Hillis
- University of California Santa Barbara, Santa Barbara, CA, USA
| | | | - Hyeonsoo Jeong
- University of Washington School of Medicine, Seattle, WA, USA
| | | | | | | | - Charles Lee
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | | | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Karen H. Miga
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | - Evgenia Pak
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Benedict Paten
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | - Arang Rhie
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Fedor Ryabov
- Masters Program in National Research University Higher School of Economics, Moscow, Russia
| | | | - Samuel Sacco
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | | | - Steven J. Solar
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Sweetalana
- Penn State University, University Park, PA, USA
| | - Alex Sweeten
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Johns Hopkins University, Baltimore, MD, USA
| | | | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Alice C. Young
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Xinru Zhang
- Penn State University, University Park, PA, USA
| | | | | | | | - Soojin V. Yi
- University of California Santa Barbara, Santa Barbara, CA, USA
| | | | | | - Sergey Koren
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Evan Eichler
- University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Adam M. Phillippy
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
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7
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Rautiainen M, Nurk S, Walenz BP, Logsdon GA, Porubsky D, Rhie A, Eichler EE, Phillippy AM, Koren S. Telomere-to-telomere assembly of diploid chromosomes with Verkko. Nat Biotechnol 2023; 41:1474-1482. [PMID: 36797493 PMCID: PMC10427740 DOI: 10.1038/s41587-023-01662-6] [Citation(s) in RCA: 41] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 01/03/2023] [Indexed: 02/18/2023]
Abstract
The Telomere-to-Telomere consortium recently assembled the first truly complete sequence of a human genome. To resolve the most complex repeats, this project relied on manual integration of ultra-long Oxford Nanopore sequencing reads with a high-resolution assembly graph built from long, accurate PacBio high-fidelity reads. We have improved and automated this strategy in Verkko, an iterative, graph-based pipeline for assembling complete, diploid genomes. Verkko begins with a multiplex de Bruijn graph built from long, accurate reads and progressively simplifies this graph by integrating ultra-long reads and haplotype-specific markers. The result is a phased, diploid assembly of both haplotypes, with many chromosomes automatically assembled from telomere to telomere. Running Verkko on the HG002 human genome resulted in 20 of 46 diploid chromosomes assembled without gaps at 99.9997% accuracy. The complete assembly of diploid genomes is a critical step towards the construction of comprehensive pangenome databases and chromosome-scale comparative genomics.
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Affiliation(s)
- Mikko Rautiainen
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sergey Nurk
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Oxford Nanopore Technologies, Oxford, UK
| | - Brian P Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
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8
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Kolmogorov M, Billingsley KJ, Mastoras M, Meredith M, Monlong J, Lorig-Roach R, Asri M, Alvarez Jerez P, Malik L, Dewan R, Reed X, Genner RM, Daida K, Behera S, Shafin K, Pesout T, Prabakaran J, Carnevali P, Yang J, Rhie A, Scholz SW, Traynor BJ, Miga KH, Jain M, Timp W, Phillippy AM, Chaisson M, Sedlazeck FJ, Blauwendraat C, Paten B. Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylation. Nat Methods 2023; 20:1483-1492. [PMID: 37710018 DOI: 10.1038/s41592-023-01993-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 08/04/2023] [Indexed: 09/16/2023]
Abstract
Long-read sequencing technologies substantially overcome the limitations of short-reads but have not been considered as a feasible replacement for population-scale projects, being a combination of too expensive, not scalable enough or too error-prone. Here we develop an efficient and scalable wet lab and computational protocol, Napu, for Oxford Nanopore Technologies long-read sequencing that seeks to address those limitations. We applied our protocol to cell lines and brain tissue samples as part of a pilot project for the National Institutes of Health Center for Alzheimer's and Related Dementias. Using a single PromethION flow cell, we can detect single nucleotide polymorphisms with F1-score comparable to Illumina short-read sequencing. Small indel calling remains difficult within homopolymers and tandem repeats, but achieves good concordance to Illumina indel calls elsewhere. Further, we can discover structural variants with F1-score on par with state-of-the-art de novo assembly methods. Our protocol phases small and structural variants at megabase scales and produces highly accurate, haplotype-specific methylation calls.
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Affiliation(s)
- Mikhail Kolmogorov
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Kimberley J Billingsley
- Center for Alzheimer's and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
| | - Mira Mastoras
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | | | - Jean Monlong
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | | | - Mobin Asri
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | - Pilar Alvarez Jerez
- Center for Alzheimer's and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Laksh Malik
- Center for Alzheimer's and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Ramita Dewan
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Xylena Reed
- Center for Alzheimer's and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Rylee M Genner
- Center for Alzheimer's and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Kensuke Daida
- Center for Alzheimer's and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Sairam Behera
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | | | - Trevor Pesout
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | - Jeshuwin Prabakaran
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biological Sciences, University of Maryland Baltimore County, Baltimore, MD, USA
| | | | - Jianzhi Yang
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sonja W Scholz
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
| | - Bryan J Traynor
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
| | - Karen H Miga
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | - Miten Jain
- Department of Bioengineering, Northeastern University, Boston, MA, USA
- Department of Physics, Northeastern University, Boston, MA, USA
| | - Winston Timp
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark Chaisson
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Cornelis Blauwendraat
- Center for Alzheimer's and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
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9
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Rhie A, Nurk S, Cechova M, Hoyt SJ, Taylor DJ, Altemose N, Hook PW, Koren S, Rautiainen M, Alexandrov IA, Allen J, Asri M, Bzikadze AV, Chen NC, Chin CS, Diekhans M, Flicek P, Formenti G, Fungtammasan A, Garcia Giron C, Garrison E, Gershman A, Gerton JL, Grady PGS, Guarracino A, Haggerty L, Halabian R, Hansen NF, Harris R, Hartley GA, Harvey WT, Haukness M, Heinz J, Hourlier T, Hubley RM, Hunt SE, Hwang S, Jain M, Kesharwani RK, Lewis AP, Li H, Logsdon GA, Lucas JK, Makalowski W, Markovic C, Martin FJ, Mc Cartney AM, McCoy RC, McDaniel J, McNulty BM, Medvedev P, Mikheenko A, Munson KM, Murphy TD, Olsen HE, Olson ND, Paulin LF, Porubsky D, Potapova T, Ryabov F, Salzberg SL, Sauria MEG, Sedlazeck FJ, Shafin K, Shepelev VA, Shumate A, Storer JM, Surapaneni L, Taravella Oill AM, Thibaud-Nissen F, Timp W, Tomaszkiewicz M, Vollger MR, Walenz BP, Watwood AC, Weissensteiner MH, Wenger AM, Wilson MA, Zarate S, Zhu Y, Zook JM, Eichler EE, O'Neill RJ, Schatz MC, Miga KH, Makova KD, Phillippy AM. The complete sequence of a human Y chromosome. Nature 2023; 621:344-354. [PMID: 37612512 PMCID: PMC10752217 DOI: 10.1038/s41586-023-06457-y] [Citation(s) in RCA: 41] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 07/19/2023] [Indexed: 08/25/2023]
Abstract
The human Y chromosome has been notoriously difficult to sequence and assemble because of its complex repeat structure that includes long palindromes, tandem repeats and segmental duplications1-3. As a result, more than half of the Y chromosome is missing from the GRCh38 reference sequence and it remains the last human chromosome to be finished4,5. Here, the Telomere-to-Telomere (T2T) consortium presents the complete 62,460,029-base-pair sequence of a human Y chromosome from the HG002 genome (T2T-Y) that corrects multiple errors in GRCh38-Y and adds over 30 million base pairs of sequence to the reference, showing the complete ampliconic structures of gene families TSPY, DAZ and RBMY; 41 additional protein-coding genes, mostly from the TSPY family; and an alternating pattern of human satellite 1 and 3 blocks in the heterochromatic Yq12 region. We have combined T2T-Y with a previous assembly of the CHM13 genome4 and mapped available population variation, clinical variants and functional genomics data to produce a complete and comprehensive reference sequence for all 24 human chromosomes.
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Affiliation(s)
- Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sergey Nurk
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Oxford Nanopore Technologies Inc., Oxford, UK
| | - Monika Cechova
- Faculty of Informatics, Masaryk University, Brno, Czech Republic
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Savannah J Hoyt
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Dylan J Taylor
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Nicolas Altemose
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | - Paul W Hook
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mikko Rautiainen
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ivan A Alexandrov
- Federal Research Center of Biotechnology of the Russian Academy of Sciences, Moscow, Russia
- Center for Algorithmic Biotechnology, Saint Petersburg State University, St Petersburg, Russia
- Department of Anatomy and Anthropology and Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Jamie Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Mobin Asri
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Andrey V Bzikadze
- Graduate Program in Bioinformatics and Systems Biology, University of California, San Diego, CA, USA
| | - Nae-Chyun Chen
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Chen-Shan Chin
- GeneDX Holdings Corp, Stamford, CT, USA
- Foundation of Biological Data Science, Belmont, CA, USA
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
- Department of Genetics, University of Cambridge, Cambridge, UK
| | | | | | - Carlos Garcia Giron
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Erik Garrison
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Ariel Gershman
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Jennifer L Gerton
- Stowers Institute for Medical Research, Kansas City, MO, USA
- University of Kansas Medical Center, Kansas City, MO, USA
| | - Patrick G S Grady
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Andrea Guarracino
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
- Genomics Research Centre, Human Technopole, Milan, Italy
| | - Leanne Haggerty
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Reza Halabian
- Institute of Bioinformatics, Faculty of Medicine, University of Münster, Münster, Germany
| | - Nancy F Hansen
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Robert Harris
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Gabrielle A Hartley
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - William T Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Marina Haukness
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Jakob Heinz
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Thibaut Hourlier
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | | | - Sarah E Hunt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Stephen Hwang
- XDBio Program, Johns Hopkins University, Baltimore, MD, USA
| | - Miten Jain
- Department of Bioengineering, Department of Physics, Northeastern University, Boston, MA, USA
| | - Rupesh K Kesharwani
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Alexandra P Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Heng Li
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Julian K Lucas
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Wojciech Makalowski
- Institute of Bioinformatics, Faculty of Medicine, University of Münster, Münster, Germany
| | - Christopher Markovic
- Genome Technology Access Center at the McDonnell Genome Institute, Washington University, St. Louis, MO, USA
| | - Fergal J Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Ann M Mc Cartney
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rajiv C McCoy
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Jennifer McDaniel
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Brandy M McNulty
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Paul Medvedev
- Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA, USA
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
- Center for Computational Biology and Bioinformatics, Pennsylvania State University, University Park, PA, USA
| | - Alla Mikheenko
- Center for Algorithmic Biotechnology, Saint Petersburg State University, St Petersburg, Russia
- UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Terence D Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Hugh E Olsen
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Nathan D Olson
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Luis F Paulin
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Tamara Potapova
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - Fedor Ryabov
- Masters Program in National Research University Higher School of Economics, Moscow, Russia
| | - Steven L Salzberg
- Departments of Biomedical Engineering, Computer Science, and Biostatistics, Johns Hopkins University, Baltimore, MD, USA
| | | | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
- Department of Computer Science, Rice University, Houston, TX, USA
| | | | | | - Alaina Shumate
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | | | - Likhitha Surapaneni
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Angela M Taravella Oill
- Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Winston Timp
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Marta Tomaszkiewicz
- Department of Biology, Pennsylvania State University, University Park, PA, USA
- Department of Biomedical Engineering, Pennsylvania State University, State College, PA, USA
| | - Mitchell R Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Brian P Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Allison C Watwood
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | | | | | - Melissa A Wilson
- Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Samantha Zarate
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Yiming Zhu
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Justin M Zook
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Investigator, Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Rachel J O'Neill
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- Department of Genetics and Genome Sciences, UConn Health, Farmington, CT, USA
| | - Michael C Schatz
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Karen H Miga
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Kateryna D Makova
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
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10
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Fodor E, Okendo J, Szabó N, Szabó K, Czimer D, Tarján-Rácz A, Szeverényi I, Low BW, Liew JH, Koren S, Rhie A, Orbán L, Miklósi Á, Varga M, Burgess SM. The reference genome of the paradise fish ( Macropodus opercularis). bioRxiv 2023:2023.08.10.552018. [PMID: 37609174 PMCID: PMC10441432 DOI: 10.1101/2023.08.10.552018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Over the decades, a small number of model species, each representative of a larger taxa, have dominated the field of biological research. Amongst fishes, zebrafish (Danio rerio) has gained popularity over most other species and while their value as a model is well documented, their usefulness is limited in certain fields of research such as behavior. By embracing other, less conventional experimental organisms, opportunities arise to gain broader insights into evolution and development, as well as studying behavioral aspects not available in current popular model systems. The anabantoid paradise fish (Macropodus opercularis), an "air-breather" species from Southeast Asia, has a highly complex behavioral repertoire and has been the subject of many ethological investigations, but lacks genomic resources. Here we report the reference genome assembly of Macropodus opercularis using long-read sequences at 150-fold coverage. The final assembly consisted of ≈483 Mb on 152 contigs. Within the assembled genome we identified and annotated 20,157 protein coding genes and assigned ≈90% of them to orthogroups. Completeness analysis showed that 98.5% of the Actinopterygii core gene set (ODB10) was present as a complete ortholog in our reference genome with a further 1.2 % being present in a fragmented form. Additionally, we cloned multiple genes important during early development and using newly developed in situ hybridization protocols, we showed that they have conserved expression patterns.
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Affiliation(s)
- Erika Fodor
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Javan Okendo
- Translational and Functional Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Nóra Szabó
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Kata Szabó
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Dávid Czimer
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Anita Tarján-Rácz
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Ildikó Szeverényi
- Department of Ethology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Bi Wei Low
- Science Unit, Lingnan University, Hong Kong, China
| | | | - Sergey Koren
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Arang Rhie
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - László Orbán
- Frontline Fish Genomics Research Group, Department of Applied Fish Biology, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, Georgikon Campus, Keszthely, Hungary
| | - Ádám Miklósi
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Máté Varga
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Shawn M. Burgess
- Translational and Functional Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
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11
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Larivière D, Abueg L, Brajuka N, Gallardo-Alba C, Grüning B, Ko BJ, Ostrovsky A, Palmada-Flores M, Pickett BD, Rabbani K, Balacco JR, Chaisson M, Cheng H, Collins J, Denisova A, Fedrigo O, Gallo GR, Giani AM, Gooder GM, Jain N, Johnson C, Kim H, Lee C, Marques-Bonet T, O'Toole B, Rhie A, Secomandi S, Sozzoni M, Tilley T, Uliano-Silva M, van den Beek M, Waterhouse RM, Phillippy AM, Jarvis ED, Schatz MC, Nekrutenko A, Formenti G. Scalable, accessible, and reproducible reference genome assembly and evaluation in Galaxy. bioRxiv 2023:2023.06.28.546576. [PMID: 37425881 PMCID: PMC10327048 DOI: 10.1101/2023.06.28.546576] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Improvements in genome sequencing and assembly are enabling high-quality reference genomes for all species. However, the assembly process is still laborious, computationally and technically demanding, lacks standards for reproducibility, and is not readily scalable. Here we present the latest Vertebrate Genomes Project assembly pipeline and demonstrate that it delivers high-quality reference genomes at scale across a set of vertebrate species arising over the last ~500 million years. The pipeline is versatile and combines PacBio HiFi long-reads and Hi-C-based haplotype phasing in a new graph-based paradigm. Standardized quality control is performed automatically to troubleshoot assembly issues and assess biological complexities. We make the pipeline freely accessible through Galaxy, accommodating researchers even without local computational resources and enhanced reproducibility by democratizing the training and assembly process. We demonstrate the flexibility and reliability of the pipeline by assembling reference genomes for 51 vertebrate species from major taxonomic groups (fish, amphibians, reptiles, birds, and mammals).
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Affiliation(s)
- Delphine Larivière
- Dept. of Biochemistry and Molecular Biology, Pennsylvania State University, USA
| | - Linelle Abueg
- Vertebrate Genome Laboratory, The Rockefeller University, USA
| | | | - Cristóbal Gallardo-Alba
- Bioinformatics Group, Department of Computer Science, Albert-Ludwigs-University Freiburg, Freiburg, Germany
| | - Bjorn Grüning
- Bioinformatics Group, Department of Computer Science, Albert-Ludwigs-University Freiburg, Freiburg, Germany
| | - Byung June Ko
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Alex Ostrovsky
- Departments of Biology and Computer Science, Johns Hopkins University, USA
| | - Marc Palmada-Flores
- Department of Medicine and Life Sciences (MELIS), Institut de Biologia Evolutiva, Universitat Pompeu Fabra-CSIC, Barcelona 08003, Spain
| | - Brandon D Pickett
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Keon Rabbani
- Department of Quantitative and Computational Biology, University of Southern California
| | | | - Mark Chaisson
- Department of Quantitative and Computational Biology, University of Southern California
| | - Haoyu Cheng
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Joanna Collins
- Wellcome Sanger Institute, Cambridge CB10 1SA, United Kingdom
| | - Alexandra Denisova
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Russia
| | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, USA
| | | | | | | | - Nivesh Jain
- Vertebrate Genome Laboratory, The Rockefeller University, USA
| | - Cassidy Johnson
- Vertebrate Genome Laboratory, The Rockefeller University, USA
| | - Heebal Kim
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
- eGnome, Inc, Seoul, Republic of Korea
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Chul Lee
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York City, NY, 10065, USA
| | - Tomas Marques-Bonet
- Department of Medicine and Life Sciences (MELIS), Institut de Biologia Evolutiva, Universitat Pompeu Fabra-CSIC, Barcelona 08003, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Barcelona 08010, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona 08028, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Cerdanyola del Vallès 08193, Spain
| | - Brian O'Toole
- Vertebrate Genome Laboratory, The Rockefeller University, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Simona Secomandi
- Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus
| | - Marcella Sozzoni
- University of Florence, Department of Biology, Via Madonna del Piano 6, Sesto Fiorentino (FI)
| | - Tatiana Tilley
- Vertebrate Genome Laboratory, The Rockefeller University, USA
| | | | - Marius van den Beek
- Dept. of Biochemistry and Molecular Biology, Pennsylvania State University, USA
| | - Robert M Waterhouse
- Department of Ecology & Evolution and Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Erich D Jarvis
- Vertebrate Genome Laboratory, The Rockefeller University, USA
| | - Michael C Schatz
- Departments of Biology and Computer Science, Johns Hopkins University, USA
| | - Anton Nekrutenko
- Dept. of Biochemistry and Molecular Biology, Pennsylvania State University, USA
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, USA
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12
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Guarracino A, Buonaiuto S, de Lima LG, Potapova T, Rhie A, Koren S, Rubinstein B, Fischer C, Gerton JL, Phillippy AM, Colonna V, Garrison E. Recombination between heterologous human acrocentric chromosomes. Nature 2023; 617:335-343. [PMID: 37165241 PMCID: PMC10172130 DOI: 10.1038/s41586-023-05976-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 03/17/2023] [Indexed: 05/12/2023]
Abstract
The short arms of the human acrocentric chromosomes 13, 14, 15, 21 and 22 (SAACs) share large homologous regions, including ribosomal DNA repeats and extended segmental duplications1,2. Although the resolution of these regions in the first complete assembly of a human genome-the Telomere-to-Telomere Consortium's CHM13 assembly (T2T-CHM13)-provided a model of their homology3, it remained unclear whether these patterns were ancestral or maintained by ongoing recombination exchange. Here we show that acrocentric chromosomes contain pseudo-homologous regions (PHRs) indicative of recombination between non-homologous sequences. Utilizing an all-to-all comparison of the human pangenome from the Human Pangenome Reference Consortium4 (HPRC), we find that contigs from all of the SAACs form a community. A variation graph5 constructed from centromere-spanning acrocentric contigs indicates the presence of regions in which most contigs appear nearly identical between heterologous acrocentric chromosomes in T2T-CHM13. Except on chromosome 15, we observe faster decay of linkage disequilibrium in the pseudo-homologous regions than in the corresponding short and long arms, indicating higher rates of recombination6,7. The pseudo-homologous regions include sequences that have previously been shown to lie at the breakpoint of Robertsonian translocations8, and their arrangement is compatible with crossover in inverted duplications on chromosomes 13, 14 and 21. The ubiquity of signals of recombination between heterologous acrocentric chromosomes seen in the HPRC draft pangenome suggests that these shared sequences form the basis for recurrent Robertsonian translocations, providing sequence and population-based confirmation of hypotheses first developed from cytogenetic studies 50 years ago9.
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Affiliation(s)
- Andrea Guarracino
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
- Genomics Research Centre, Human Technopole, Milan, Italy
| | - Silvia Buonaiuto
- Institute of Genetics and Biophysics, National Research Council, Naples, Italy
| | | | - Tamara Potapova
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Christian Fischer
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | | | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Vincenza Colonna
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
- Institute of Genetics and Biophysics, National Research Council, Naples, Italy
| | - Erik Garrison
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
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13
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Liao WW, Asri M, Ebler J, Doerr D, Haukness M, Hickey G, Lu S, Lucas JK, Monlong J, Abel HJ, Buonaiuto S, Chang XH, Cheng H, Chu J, Colonna V, Eizenga JM, Feng X, Fischer C, Fulton RS, Garg S, Groza C, Guarracino A, Harvey WT, Heumos S, Howe K, Jain M, Lu TY, Markello C, Martin FJ, Mitchell MW, Munson KM, Mwaniki MN, Novak AM, Olsen HE, Pesout T, Porubsky D, Prins P, Sibbesen JA, Sirén J, Tomlinson C, Villani F, Vollger MR, Antonacci-Fulton LL, Baid G, Baker CA, Belyaeva A, Billis K, Carroll A, Chang PC, Cody S, Cook DE, Cook-Deegan RM, Cornejo OE, Diekhans M, Ebert P, Fairley S, Fedrigo O, Felsenfeld AL, Formenti G, Frankish A, Gao Y, Garrison NA, Giron CG, Green RE, Haggerty L, Hoekzema K, Hourlier T, Ji HP, Kenny EE, Koenig BA, Kolesnikov A, Korbel JO, Kordosky J, Koren S, Lee H, Lewis AP, Magalhães H, Marco-Sola S, Marijon P, McCartney A, McDaniel J, Mountcastle J, Nattestad M, Nurk S, Olson ND, Popejoy AB, Puiu D, Rautiainen M, Regier AA, Rhie A, Sacco S, Sanders AD, Schneider VA, Schultz BI, Shafin K, Smith MW, Sofia HJ, Abou Tayoun AN, Thibaud-Nissen F, Tricomi FF, Wagner J, Walenz B, Wood JMD, Zimin AV, Bourque G, Chaisson MJP, Flicek P, Phillippy AM, Zook JM, Eichler EE, Haussler D, Wang T, Jarvis ED, Miga KH, Garrison E, Marschall T, Hall IM, Li H, Paten B. A draft human pangenome reference. Nature 2023; 617:312-324. [PMID: 37165242 PMCID: PMC10172123 DOI: 10.1038/s41586-023-05896-x] [Citation(s) in RCA: 170] [Impact Index Per Article: 170.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 02/28/2023] [Indexed: 05/12/2023]
Abstract
Here the Human Pangenome Reference Consortium presents a first draft of the human pangenome reference. The pangenome contains 47 phased, diploid assemblies from a cohort of genetically diverse individuals1. These assemblies cover more than 99% of the expected sequence in each genome and are more than 99% accurate at the structural and base pair levels. Based on alignments of the assemblies, we generate a draft pangenome that captures known variants and haplotypes and reveals new alleles at structurally complex loci. We also add 119 million base pairs of euchromatic polymorphic sequences and 1,115 gene duplications relative to the existing reference GRCh38. Roughly 90 million of the additional base pairs are derived from structural variation. Using our draft pangenome to analyse short-read data reduced small variant discovery errors by 34% and increased the number of structural variants detected per haplotype by 104% compared with GRCh38-based workflows, which enabled the typing of the vast majority of structural variant alleles per sample.
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Affiliation(s)
- Wen-Wei Liao
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- Center for Genomic Health, Yale University School of Medicine, New Haven, CT, USA
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Mobin Asri
- Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Jana Ebler
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany
| | - Daniel Doerr
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany
| | - Marina Haukness
- Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Glenn Hickey
- Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Shuangjia Lu
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- Center for Genomic Health, Yale University School of Medicine, New Haven, CT, USA
| | - Julian K Lucas
- Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Jean Monlong
- Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Haley J Abel
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Silvia Buonaiuto
- Institute of Genetics and Biophysics, National Research Council, Naples, Italy
| | - Xian H Chang
- Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Haoyu Cheng
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Justin Chu
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Vincenza Colonna
- Institute of Genetics and Biophysics, National Research Council, Naples, Italy
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jordan M Eizenga
- Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Xiaowen Feng
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Christian Fischer
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Robert S Fulton
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Shilpa Garg
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Copenhagen, Denmark
| | - Cristian Groza
- Quantitative Life Sciences, McGill University, Montréal, Québec, Canada
| | - Andrea Guarracino
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
- Genomics Research Centre, Human Technopole, Milan, Italy
| | - William T Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Simon Heumos
- Quantitative Biology Center (QBiC), University of Tübingen, Tübingen, Germany
- Biomedical Data Science, Department of Computer Science, University of Tübingen, Tübingen, Germany
| | - Kerstin Howe
- Tree of Life, Wellcome Sanger Institute, Hinxton, Cambridge, UK
| | - Miten Jain
- Northeastern University, Boston, MA, USA
| | - Tsung-Yu Lu
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Charles Markello
- Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Fergal J Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | | | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Adam M Novak
- Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Hugh E Olsen
- Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Trevor Pesout
- Genomics Institute, University of California, Santa Cruz, CA, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Pjotr Prins
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jonas A Sibbesen
- Center for Health Data Science, University of Copenhagen, Copenhagen, Denmark
| | - Jouni Sirén
- Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Chad Tomlinson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Flavia Villani
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Mitchell R Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Division of Medical Genetics, University of Washington School of Medicine, Seattle, WA, USA
| | | | | | - Carl A Baker
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Konstantinos Billis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | | | | | - Sarah Cody
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Robert M Cook-Deegan
- Barrett and O'Connor Washington Center, Arizona State University, Washington, DC, USA
| | - Omar E Cornejo
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Mark Diekhans
- Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Peter Ebert
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany
- Core Unit Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Susan Fairley
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Adam L Felsenfeld
- National Institutes of Health (NIH)-National Human Genome Research Institute, Bethesda, MD, USA
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Adam Frankish
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Yan Gao
- Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Nanibaa' A Garrison
- Institute for Society and Genetics, College of Letters and Science, University of California, Los Angeles, CA, USA
- Institute for Precision Health, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
- Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Carlos Garcia Giron
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Richard E Green
- Department of Biomolecular Engineering, University of California, Santa Cruz, CA, USA
- Dovetail Genomics, Scotts Valley, CA, USA
| | - Leanne Haggerty
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Thibaut Hourlier
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Hanlee P Ji
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Barbara A Koenig
- Program in Bioethics and Institute for Human Genetics, University of California, San Francisco, CA, USA
| | | | - Jan O Korbel
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
- Genome Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Jennifer Kordosky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - HoJoon Lee
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Alexandra P Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Hugo Magalhães
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany
| | - Santiago Marco-Sola
- Computer Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain
- Departament d'Arquitectura de Computadors i Sistemes Operatius, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Pierre Marijon
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
- Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany
| | - Ann McCartney
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jennifer McDaniel
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | | | | | - Sergey Nurk
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nathan D Olson
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Alice B Popejoy
- Department of Public Health Sciences, University of California, Davis, CA, USA
| | - Daniela Puiu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Mikko Rautiainen
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Allison A Regier
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Samuel Sacco
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Ashley D Sanders
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Valerie A Schneider
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Baergen I Schultz
- National Institutes of Health (NIH)-National Human Genome Research Institute, Bethesda, MD, USA
| | | | - Michael W Smith
- National Institutes of Health (NIH)-National Human Genome Research Institute, Bethesda, MD, USA
| | - Heidi J Sofia
- National Institutes of Health (NIH)-National Human Genome Research Institute, Bethesda, MD, USA
| | - Ahmad N Abou Tayoun
- Al Jalila Genomics Center of Excellence, Al Jalila Children's Specialty Hospital, Dubai, UAE
- Center for Genomic Discovery, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Francesca Floriana Tricomi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Justin Wagner
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Brian Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Aleksey V Zimin
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
- Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Guillaume Bourque
- Department of Human Genetics, McGill University, Montréal, Québec, Canada
- Canadian Center for Computational Genomics, McGill University, Montréal, Québec, Canada
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan
| | - Mark J P Chaisson
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Justin M Zook
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - David Haussler
- Genomics Institute, University of California, Santa Cruz, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Ting Wang
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Erich D Jarvis
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - Karen H Miga
- Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Erik Garrison
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
| | - Tobias Marschall
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
- Center for Digital Medicine, Heinrich Heine University, Düsseldorf, Germany.
| | - Ira M Hall
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA.
- Center for Genomic Health, Yale University School of Medicine, New Haven, CT, USA.
| | - Heng Li
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
| | - Benedict Paten
- Genomics Institute, University of California, Santa Cruz, CA, USA.
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14
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Kolmogorov M, Billingsley KJ, Mastoras M, Meredith M, Monlong J, Lorig-Roach R, Asri M, Jerez PA, Malik L, Dewan R, Reed X, Genner RM, Daida K, Behera S, Shafin K, Pesout T, Prabakaran J, Carnevali P, Yang J, Rhie A, Scholz SW, Traynor BJ, Miga KH, Jain M, Timp W, Phillippy AM, Chaisson M, Sedlazeck FJ, Blauwendraat C, Paten B. Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylation. bioRxiv 2023:2023.01.12.523790. [PMID: 36711673 PMCID: PMC9882142 DOI: 10.1101/2023.01.12.523790] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Long-read sequencing technologies substantially overcome the limitations of short-reads but to date have not been considered as feasible replacement at scale due to a combination of being too expensive, not scalable enough, or too error-prone. Here, we develop an efficient and scalable wet lab and computational protocol for Oxford Nanopore Technologies (ONT) long-read sequencing that seeks to provide a genuine alternative to short-reads for large-scale genomics projects. We applied our protocol to cell lines and brain tissue samples as part of a pilot project for the NIH Center for Alzheimer's and Related Dementias (CARD). Using a single PromethION flow cell, we can detect SNPs with F1-score better than Illumina short-read sequencing. Small indel calling remains to be difficult inside homopolymers and tandem repeats, but is comparable to Illumina calls elsewhere. Further, we can discover structural variants with F1-score comparable to state-of the-art methods involving Pacific Biosciences HiFi sequencing and trio information (but at a lower cost and greater throughput). Using ONT based phasing, we can then combine and phase small and structural variants at megabase scales. Our protocol also produces highly accurate, haplotype-specific methylation calls. Overall, this makes large-scale long-read sequencing projects feasible; the protocol is currently being used to sequence thousands of brain-based genomes as a part of the NIH CARD initiative. We provide the protocol and software as open-source integrated pipelines for generating phased variant calls and assemblies.
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Affiliation(s)
- Mikhail Kolmogorov
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, USA
| | - Kimberley J. Billingsley
- Center for Alzheimer’s and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Mira Mastoras
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | | | - Jean Monlong
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | | | - Mobin Asri
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | - Pilar Alvarez Jerez
- Center for Alzheimer’s and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Laksh Malik
- Center for Alzheimer’s and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Ramita Dewan
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Xylena Reed
- Center for Alzheimer’s and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Rylee M. Genner
- Center for Alzheimer’s and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Kensuke Daida
- Center for Alzheimer’s and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Sairam Behera
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Kishwar Shafin
- Google LLC, 1600 Amphitheatre Pkwy, Mountain View, CA, USA
| | - Trevor Pesout
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | - Jeshuwin Prabakaran
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, USA
- Department of Biological Sciences, University of Maryland Baltimore County, Baltimore, MD, USA
| | | | | | - Jianzhi Yang
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sonja W. Scholz
- Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, USA
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA
| | - Bryan J. Traynor
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Karen H. Miga
- UC Santa Cruz Genomics Institute, Santa Cruz, CA, USA
| | - Miten Jain
- Department of Bioengineering, Department of Physics, Northeastern University, Boston, MA, USA
| | - Winston Timp
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Adam M. Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark Chaisson
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, USA
| | - Fritz J. Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Computer Science, Rice University, Houston, Texas, USA
| | - Cornelis Blauwendraat
- Center for Alzheimer’s and Related Dementias, National Institute on Aging and National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
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15
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Secomandi S, Gallo GR, Sozzoni M, Iannucci A, Galati E, Abueg L, Balacco J, Caprioli M, Chow W, Ciofi C, Collins J, Fedrigo O, Ferretti L, Fungtammasan A, Haase B, Howe K, Kwak W, Lombardo G, Masterson P, Messina G, Møller AP, Mountcastle J, Mousseau TA, Ferrer Obiol J, Olivieri A, Rhie A, Rubolini D, Saclier M, Stanyon R, Stucki D, Thibaud-Nissen F, Torrance J, Torroni A, Weber K, Ambrosini R, Bonisoli-Alquati A, Jarvis ED, Gianfranceschi L, Formenti G. A chromosome-level reference genome and pangenome for barn swallow population genomics. Cell Rep 2023; 42:111992. [PMID: 36662619 PMCID: PMC10044405 DOI: 10.1016/j.celrep.2023.111992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 07/20/2022] [Accepted: 01/04/2023] [Indexed: 01/20/2023] Open
Abstract
Insights into the evolution of non-model organisms are limited by the lack of reference genomes of high accuracy, completeness, and contiguity. Here, we present a chromosome-level, karyotype-validated reference genome and pangenome for the barn swallow (Hirundo rustica). We complement these resources with a reference-free multialignment of the reference genome with other bird genomes and with the most comprehensive catalog of genetic markers for the barn swallow. We identify potentially conserved and accelerated genes using the multialignment and estimate genome-wide linkage disequilibrium using the catalog. We use the pangenome to infer core and accessory genes and to detect variants using it as a reference. Overall, these resources will foster population genomics studies in the barn swallow, enable detection of candidate genes in comparative genomics studies, and help reduce bias toward a single reference genome.
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Affiliation(s)
- Simona Secomandi
- Department of Biosciences, University of Milan, Milan, Italy; Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus
| | - Guido R Gallo
- Department of Biosciences, University of Milan, Milan, Italy
| | | | - Alessio Iannucci
- Department of Biology, University of Florence, Sesto Fiorentino (FI), Italy
| | - Elena Galati
- Department of Biosciences, University of Milan, Milan, Italy
| | - Linelle Abueg
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Jennifer Balacco
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Manuela Caprioli
- Department of Environmental Sciences and Policy, University of Milan, Milan, Italy
| | | | - Claudio Ciofi
- Department of Biology, University of Florence, Sesto Fiorentino (FI), Italy
| | | | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Luca Ferretti
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
| | | | - Bettina Haase
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | | | - Woori Kwak
- Department of Medical and Biological Sciences, The Catholic University of Korea, Bucheon 14662, Korea
| | - Gianluca Lombardo
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
| | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | | | - Anders P Møller
- Ecologie Systématique Evolution, Université Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, Orsay Cedex, France
| | | | - Timothy A Mousseau
- Department of Biological Sciences, University of South Carolina, Columbia, SC 29208, USA
| | - Joan Ferrer Obiol
- Department of Environmental Sciences and Policy, University of Milan, Milan, Italy
| | - Anna Olivieri
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Diego Rubolini
- Department of Environmental Sciences and Policy, University of Milan, Milan, Italy
| | | | - Roscoe Stanyon
- Department of Biology, University of Florence, Sesto Fiorentino (FI), Italy
| | | | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | | | - Antonio Torroni
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
| | | | - Roberto Ambrosini
- Department of Environmental Sciences and Policy, University of Milan, Milan, Italy
| | - Andrea Bonisoli-Alquati
- Department of Biological Sciences, California State Polytechnic University - Pomona, Pomona, CA, USA
| | - Erich D Jarvis
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA; The Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | | | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA.
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16
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Toh H, Yang C, Formenti G, Raja K, Yan L, Tracey A, Chow W, Howe K, Bergeron LA, Zhang G, Haase B, Mountcastle J, Fedrigo O, Fogg J, Kirilenko B, Munegowda C, Hiller M, Jain A, Kihara D, Rhie A, Phillippy AM, Swanson SA, Jiang P, Clegg DO, Jarvis ED, Thomson JA, Stewart R, Chaisson MJP, Bukhman YV. A haplotype-resolved genome assembly of the Nile rat facilitates exploration of the genetic basis of diabetes. BMC Biol 2022; 20:245. [DOI: 10.1186/s12915-022-01427-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 09/29/2022] [Indexed: 11/09/2022] Open
Abstract
Abstract
Background
The Nile rat (Avicanthis niloticus) is an important animal model because of its robust diurnal rhythm, a cone-rich retina, and a propensity to develop diet-induced diabetes without chemical or genetic modifications. A closer similarity to humans in these aspects, compared to the widely used Mus musculus and Rattus norvegicus models, holds the promise of better translation of research findings to the clinic.
Results
We report a 2.5 Gb, chromosome-level reference genome assembly with fully resolved parental haplotypes, generated with the Vertebrate Genomes Project (VGP). The assembly is highly contiguous, with contig N50 of 11.1 Mb, scaffold N50 of 83 Mb, and 95.2% of the sequence assigned to chromosomes. We used a novel workflow to identify 3613 segmental duplications and quantify duplicated genes. Comparative analyses revealed unique genomic features of the Nile rat, including some that affect genes associated with type 2 diabetes and metabolic dysfunctions. We discuss 14 genes that are heterozygous in the Nile rat or highly diverged from the house mouse.
Conclusions
Our findings reflect the exceptional level of genomic resolution present in this assembly, which will greatly expand the potential of the Nile rat as a model organism.
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17
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Jarvis ED, Formenti G, Rhie A, Guarracino A, Yang C, Wood J, Tracey A, Thibaud-Nissen F, Vollger MR, Porubsky D, Cheng H, Asri M, Logsdon GA, Carnevali P, Chaisson MJP, Chin CS, Cody S, Collins J, Ebert P, Escalona M, Fedrigo O, Fulton RS, Fulton LL, Garg S, Gerton JL, Ghurye J, Granat A, Green RE, Harvey W, Hasenfeld P, Hastie A, Haukness M, Jaeger EB, Jain M, Kirsche M, Kolmogorov M, Korbel JO, Koren S, Korlach J, Lee J, Li D, Lindsay T, Lucas J, Luo F, Marschall T, Mitchell MW, McDaniel J, Nie F, Olsen HE, Olson ND, Pesout T, Potapova T, Puiu D, Regier A, Ruan J, Salzberg SL, Sanders AD, Schatz MC, Schmitt A, Schneider VA, Selvaraj S, Shafin K, Shumate A, Stitziel NO, Stober C, Torrance J, Wagner J, Wang J, Wenger A, Xiao C, Zimin AV, Zhang G, Wang T, Li H, Garrison E, Haussler D, Hall I, Zook JM, Eichler EE, Phillippy AM, Paten B, Howe K, Miga KH. Semi-automated assembly of high-quality diploid human reference genomes. Nature 2022; 611:519-531. [PMID: 36261518 PMCID: PMC9668749 DOI: 10.1038/s41586-022-05325-5] [Citation(s) in RCA: 66] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 09/06/2022] [Indexed: 01/01/2023]
Abstract
The current human reference genome, GRCh38, represents over 20 years of effort to generate a high-quality assembly, which has benefitted society1,2. However, it still has many gaps and errors, and does not represent a biological genome as it is a blend of multiple individuals3,4. Recently, a high-quality telomere-to-telomere reference, CHM13, was generated with the latest long-read technologies, but it was derived from a hydatidiform mole cell line with a nearly homozygous genome5. To address these limitations, the Human Pangenome Reference Consortium formed with the goal of creating high-quality, cost-effective, diploid genome assemblies for a pangenome reference that represents human genetic diversity6. Here, in our first scientific report, we determined which combination of current genome sequencing and assembly approaches yield the most complete and accurate diploid genome assembly with minimal manual curation. Approaches that used highly accurate long reads and parent-child data with graph-based haplotype phasing during assembly outperformed those that did not. Developing a combination of the top-performing methods, we generated our first high-quality diploid reference assembly, containing only approximately four gaps per chromosome on average, with most chromosomes within ±1% of the length of CHM13. Nearly 48% of protein-coding genes have non-synonymous amino acid changes between haplotypes, and centromeric regions showed the highest diversity. Our findings serve as a foundation for assembling near-complete diploid human genomes at scale for a pangenome reference to capture global genetic variation from single nucleotides to structural rearrangements.
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Affiliation(s)
- Erich D. Jarvis
- grid.134907.80000 0001 2166 1519Vertebrate Genome Laboratory, The Rockefeller University, New York, NY USA ,grid.413575.10000 0001 2167 1581Howard Hughes Medical Institute, Chevy Chase, MD USA
| | - Giulio Formenti
- grid.134907.80000 0001 2166 1519Vertebrate Genome Laboratory, The Rockefeller University, New York, NY USA
| | - Arang Rhie
- grid.94365.3d0000 0001 2297 5165Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Andrea Guarracino
- grid.510779.d0000 0004 9414 6915Genomics Research Centre, Human Technopole, Viale Rita Levi-Montalcini, Milan, Italy
| | - Chentao Yang
- grid.21155.320000 0001 2034 1839BGI-Shenzhen, Shenzhen, China
| | - Jonathan Wood
- grid.10306.340000 0004 0606 5382Tree of Life, Wellcome Sanger Institute, Cambridge, UK
| | - Alan Tracey
- grid.10306.340000 0004 0606 5382Tree of Life, Wellcome Sanger Institute, Cambridge, UK
| | - Francoise Thibaud-Nissen
- grid.94365.3d0000 0001 2297 5165National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD USA
| | - Mitchell R. Vollger
- grid.34477.330000000122986657Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA USA
| | - David Porubsky
- grid.34477.330000000122986657Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA USA
| | - Haoyu Cheng
- grid.65499.370000 0001 2106 9910Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA USA
| | - Mobin Asri
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - Glennis A. Logsdon
- grid.34477.330000000122986657Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA USA
| | - Paolo Carnevali
- grid.507326.50000 0004 6090 4941Chan Zuckerberg Initiative, Redwood City, CA USA
| | - Mark J. P. Chaisson
- grid.42505.360000 0001 2156 6853Quantitative and Computational Biology, University of Southern California, Los Angeles, CA USA
| | | | - Sarah Cody
- grid.4367.60000 0001 2355 7002McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO USA
| | - Joanna Collins
- grid.10306.340000 0004 0606 5382Tree of Life, Wellcome Sanger Institute, Cambridge, UK
| | - Peter Ebert
- grid.411327.20000 0001 2176 9917Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Merly Escalona
- grid.205975.c0000 0001 0740 6917Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA USA
| | - Olivier Fedrigo
- grid.134907.80000 0001 2166 1519Vertebrate Genome Laboratory, The Rockefeller University, New York, NY USA
| | - Robert S. Fulton
- grid.4367.60000 0001 2355 7002McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO USA
| | - Lucinda L. Fulton
- grid.4367.60000 0001 2355 7002McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO USA
| | - Shilpa Garg
- grid.5254.60000 0001 0674 042XDepartment of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Jennifer L. Gerton
- grid.250820.d0000 0000 9420 1591Stowers Institute for Medical Research, Kansas City, MO USA
| | - Jay Ghurye
- grid.504403.6Dovetail Genomics, Scotts Valley, CA USA
| | | | - Richard E. Green
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - William Harvey
- grid.34477.330000000122986657Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA USA
| | - Patrick Hasenfeld
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Alex Hastie
- grid.470262.50000 0004 0473 1353Bionano Genomics, San Diego, CA USA
| | - Marina Haukness
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - Erich B. Jaeger
- grid.185669.50000 0004 0507 3954Illumina, Inc., San Diego, CA USA
| | - Miten Jain
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - Melanie Kirsche
- grid.21107.350000 0001 2171 9311Department of Computer Science, Johns Hopkins University, Baltimore, MD USA
| | - Mikhail Kolmogorov
- grid.266100.30000 0001 2107 4242Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA USA
| | - Jan O. Korbel
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Sergey Koren
- grid.94365.3d0000 0001 2297 5165Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Jonas Korlach
- grid.423340.20000 0004 0640 9878Pacific Biosciences, Menlo Park, CA USA
| | - Joyce Lee
- grid.470262.50000 0004 0473 1353Bionano Genomics, San Diego, CA USA
| | - Daofeng Li
- grid.4367.60000 0001 2355 7002Department of Genetics, Washington University School of Medicine, St. Louis, MO USA ,grid.4367.60000 0001 2355 7002The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO USA
| | - Tina Lindsay
- grid.4367.60000 0001 2355 7002McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO USA
| | - Julian Lucas
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - Feng Luo
- grid.26090.3d0000 0001 0665 0280School of Computing, Clemson University, Clemson, SC USA
| | - Tobias Marschall
- grid.411327.20000 0001 2176 9917Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Matthew W. Mitchell
- grid.282012.b0000 0004 0627 5048Coriell Institute for Medical Research, Camden, NJ USA
| | - Jennifer McDaniel
- grid.94225.38000000012158463XMaterial Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD USA
| | - Fan Nie
- grid.216417.70000 0001 0379 7164Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, China
| | - Hugh E. Olsen
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - Nathan D. Olson
- grid.94225.38000000012158463XMaterial Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD USA
| | - Trevor Pesout
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - Tamara Potapova
- grid.250820.d0000 0000 9420 1591Stowers Institute for Medical Research, Kansas City, MO USA
| | - Daniela Puiu
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - Allison Regier
- grid.511991.40000 0004 4910 5831DNAnexus, Mountain View, CA USA
| | - Jue Ruan
- grid.410727.70000 0001 0526 1937Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Steven L. Salzberg
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - Ashley D. Sanders
- grid.419491.00000 0001 1014 0849Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Michael C. Schatz
- grid.21107.350000 0001 2171 9311Department of Computer Science, Johns Hopkins University, Baltimore, MD USA
| | | | - Valerie A. Schneider
- grid.94365.3d0000 0001 2297 5165National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD USA
| | | | - Kishwar Shafin
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - Alaina Shumate
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - Nathan O. Stitziel
- grid.4367.60000 0001 2355 7002McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO USA ,grid.4367.60000 0001 2355 7002Department of Genetics, Washington University School of Medicine, St. Louis, MO USA ,grid.4367.60000 0001 2355 7002Cardiovascular Division, John T. Milliken Department of Internal Medicine, Washington University School of Medicine, St. Louis, USA
| | - Catherine Stober
- grid.4709.a0000 0004 0495 846XEuropean Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - James Torrance
- grid.10306.340000 0004 0606 5382Tree of Life, Wellcome Sanger Institute, Cambridge, UK
| | - Justin Wagner
- grid.94225.38000000012158463XMaterial Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD USA
| | - Jianxin Wang
- grid.216417.70000 0001 0379 7164Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, China
| | - Aaron Wenger
- grid.423340.20000 0004 0640 9878Pacific Biosciences, Menlo Park, CA USA
| | - Chuanle Xiao
- grid.12981.330000 0001 2360 039XState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Aleksey V. Zimin
- grid.21107.350000 0001 2171 9311Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA
| | - Guojie Zhang
- grid.13402.340000 0004 1759 700XCenter for Evolutionary & Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
| | - Ting Wang
- grid.4367.60000 0001 2355 7002McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO USA ,grid.4367.60000 0001 2355 7002Department of Genetics, Washington University School of Medicine, St. Louis, MO USA ,grid.4367.60000 0001 2355 7002The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO USA
| | - Heng Li
- grid.65499.370000 0001 2106 9910Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA USA
| | - Erik Garrison
- grid.267301.10000 0004 0386 9246Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN USA
| | - David Haussler
- grid.413575.10000 0001 2167 1581Howard Hughes Medical Institute, Chevy Chase, MD USA ,grid.205975.c0000 0001 0740 6917Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA USA
| | - Ira Hall
- grid.47100.320000000419368710Yale School of Medicine, New Haven, CT USA
| | - Justin M. Zook
- grid.94225.38000000012158463XMaterial Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD USA
| | - Evan E. Eichler
- grid.413575.10000 0001 2167 1581Howard Hughes Medical Institute, Chevy Chase, MD USA ,grid.34477.330000000122986657Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA USA
| | - Adam M. Phillippy
- grid.94365.3d0000 0001 2297 5165Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Benedict Paten
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
| | - Kerstin Howe
- grid.10306.340000 0004 0606 5382Tree of Life, Wellcome Sanger Institute, Cambridge, UK
| | - Karen H. Miga
- grid.205975.c0000 0001 0740 6917UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA USA
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18
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Kim J, Lee C, Ko BJ, Yoo DA, Won S, Phillippy AM, Fedrigo O, Zhang G, Howe K, Wood J, Durbin R, Formenti G, Brown S, Cantin L, Mello CV, Cho S, Rhie A, Kim H, Jarvis ED. False gene and chromosome losses in genome assemblies caused by GC content variation and repeats. Genome Biol 2022; 23:204. [PMID: 36167554 PMCID: PMC9516821 DOI: 10.1186/s13059-022-02765-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 09/02/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Many short-read genome assemblies have been found to be incomplete and contain mis-assemblies. The Vertebrate Genomes Project has been producing new reference genome assemblies with an emphasis on being as complete and error-free as possible, which requires utilizing long reads, long-range scaffolding data, new assembly algorithms, and manual curation. A more thorough evaluation of the recent references relative to prior assemblies can provide a detailed overview of the types and magnitude of improvements. RESULTS Here we evaluate new vertebrate genome references relative to the previous assemblies for the same species and, in two cases, the same individuals, including a mammal (platypus), two birds (zebra finch, Anna's hummingbird), and a fish (climbing perch). We find that up to 11% of genomic sequence is entirely missing in the previous assemblies. In the Vertebrate Genomes Project zebra finch assembly, we identify eight new GC- and repeat-rich micro-chromosomes with high gene density. The impact of missing sequences is biased towards GC-rich 5'-proximal promoters and 5' exon regions of protein-coding genes and long non-coding RNAs. Between 26 and 60% of genes include structural or sequence errors that could lead to misunderstanding of their function when using the previous genome assemblies. CONCLUSIONS Our findings reveal novel regulatory landscapes and protein coding sequences that have been greatly underestimated in previous assemblies and are now present in the Vertebrate Genomes Project reference genomes.
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Affiliation(s)
- Juwan Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Chul Lee
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Byung June Ko
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Dong Ahn Yoo
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Sohyoung Won
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Olivier Fedrigo
- Vertebrate Genome Lab, The Rockefeller University, New York City, USA
| | - Guojie Zhang
- BGI-Shenzhen, Shenzhen, 518083, China
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Universitetsparken 15, 2100, Copenhagen, Denmark
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
| | | | | | - Richard Durbin
- Wellcome Sanger Institute, Cambridge, UK
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Giulio Formenti
- Vertebrate Genome Lab, The Rockefeller University, New York City, USA
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York City, USA
| | - Samara Brown
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York City, USA
| | - Lindsey Cantin
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York City, USA
| | - Claudio V Mello
- Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, 97239, USA
| | - Seoae Cho
- eGnome, Inc, Seoul, Republic of Korea
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Heebal Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
- eGnome, Inc, Seoul, Republic of Korea.
| | - Erich D Jarvis
- Vertebrate Genome Lab, The Rockefeller University, New York City, USA.
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York City, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
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19
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Ko BJ, Lee C, Kim J, Rhie A, Yoo DA, Howe K, Wood J, Cho S, Brown S, Formenti G, Jarvis ED, Kim H. Widespread false gene gains caused by duplication errors in genome assemblies. Genome Biol 2022; 23:205. [PMID: 36167596 PMCID: PMC9516828 DOI: 10.1186/s13059-022-02764-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 09/02/2022] [Indexed: 12/22/2022] Open
Abstract
Background False duplications in genome assemblies lead to false biological conclusions. We quantified false duplications in popularly used previous genome assemblies for platypus, zebra finch, and Anna’s Hummingbird, and their new counterparts of the same species generated by the Vertebrate Genomes Project, of which the Vertebrate Genomes Project pipeline attempted to eliminate false duplications through haplotype phasing and purging. These assemblies are among the first generated by the Vertebrate Genomes Project where there was a prior chromosomal level reference assembly to compare with. Results Whole genome alignments revealed that 4 to 16% of the sequences are falsely duplicated in the previous assemblies, impacting hundreds to thousands of genes. These lead to overestimated gene family expansions. The main source of the false duplications is heterotype duplications, where the haplotype sequences were relatively more divergent than other parts of the genome leading the assembly algorithms to classify them as separate genes or genomic regions. A minor source is sequencing errors. Ancient ATP nucleotide binding gene families have a higher prevalence of false duplications compared to other gene families. Although present in a smaller proportion, we observe false duplications remaining in the Vertebrate Genomes Project assemblies that can be identified and purged. Conclusions This study highlights the need for more advanced assembly methods that better separate haplotypes and sequence errors, and the need for cautious analyses on gene gains. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-022-02764-1.
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Affiliation(s)
- Byung June Ko
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Chul Lee
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Juwan Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, USA
| | - Dong Ahn Yoo
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | | | | | - Seoae Cho
- eGnome, Inc, Seoul, Republic of Korea
| | - Samara Brown
- Laboratory of the Neurogenetics of Language, The Rockefeller University, New York, NY, USA.,Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Giulio Formenti
- Laboratory of the Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - Erich D Jarvis
- Laboratory of the Neurogenetics of Language, The Rockefeller University, New York, NY, USA. .,Howard Hughes Medical Institute, Chevy Chase, MD, USA.
| | - Heebal Kim
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea. .,Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea. .,eGnome, Inc, Seoul, Republic of Korea.
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20
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Kairov U, Molkenov A, Sharip A, Rakhimova S, Seidualy M, Rhie A, Kozhamkulov U, Zhabagin M, Kim JI, Lee JH, Terwilliger JD, Seo JS, Zhumadilov Z, Akilzhanova A. Whole-Genome Sequencing and Genomic Variant Analysis of Kazakh Individuals. Front Genet 2022; 13:902804. [PMID: 35899193 PMCID: PMC9309552 DOI: 10.3389/fgene.2022.902804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 06/06/2022] [Indexed: 11/30/2022] Open
Abstract
Kazakhstan, the ninth-largest country in the world, is located along the Great Silk Road and connects Europe with Asia. Historically, its territory has been inhabited by nomadic tribes, and modern-day Kazakhstan is a multiethnic country with a dominant Kazakh population. We sequenced and analyzed the genomes of five ethnic Kazakhs at high coverage using the Illumina HiSeq2000 next-generation sequencing platform. The five Kazakhs yielded a total number of base pairs ranging from 87,308,581,400 to 107,526,741,301. On average, 99.06% were properly mapped. Based on the Het/Hom and Ti/Tv ratios, the quality of the genomic data ranged from 1.35 to 1.49 and from 2.07 to 2.08, respectively. Genetic variants were identified and annotated. Functional analysis of the genetic variants identified several variants that were associated with higher risks of metabolic and neurogenerative diseases. The present study showed high levels of genetic admixture of Kazakhs that were comparable to those of other Central Asians. These whole-genome sequence data of healthy Kazakhs could contribute significantly to biomedical studies of common diseases as their findings could allow better insight into the genotype–phenotype relations at the population level.
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Affiliation(s)
- Ulykbek Kairov
- Laboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
- *Correspondence: Ulykbek Kairov, ; Ainur Akilzhanova,
| | - Askhat Molkenov
- Laboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Aigul Sharip
- Laboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Saule Rakhimova
- Laboratory of Genomic and Personalized Medicine, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Madina Seidualy
- Laboratory of Bioinformatics and Systems Biology, Center for Life Sciences, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Arang Rhie
- Ilchun Genomic Medicine Institute, Seoul National University, Seoul, Korea
| | - Ulan Kozhamkulov
- Laboratory of Genomic and Personalized Medicine, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Maxat Zhabagin
- Laboratory of Genomic and Personalized Medicine, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Jong-Il Kim
- Ilchun Genomic Medicine Institute, Seoul National University, Seoul, Korea
| | - Joseph H. Lee
- Sergievsky Center, Departments of Neurology and Epidemiology, Taub Institute, Columbia University, New York City, NY, United States
| | - Joseph D. Terwilliger
- Departments of Genetics and Development and Psychiatry, Sergievsky Center, Columbia University, New York City, NY, United States
| | - Jeong-Sun Seo
- Ilchun Genomic Medicine Institute, Seoul National University, Seoul, Korea
| | - Zhaxybay Zhumadilov
- Laboratory of Genomic and Personalized Medicine, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
- School of Medicine, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Ainur Akilzhanova
- Laboratory of Genomic and Personalized Medicine, National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
- *Correspondence: Ulykbek Kairov, ; Ainur Akilzhanova,
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21
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Mc Cartney AM, Shafin K, Alonge M, Bzikadze AV, Formenti G, Fungtammasan A, Howe K, Jain C, Koren S, Logsdon GA, Miga KH, Mikheenko A, Paten B, Shumate A, Soto DC, Sović I, Wood JMD, Zook JM, Phillippy AM, Rhie A. Chasing perfection: validation and polishing strategies for telomere-to-telomere genome assemblies. Nat Methods 2022; 19:687-695. [PMID: 35361931 PMCID: PMC9812399 DOI: 10.1038/s41592-022-01440-3] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 03/04/2022] [Indexed: 01/07/2023]
Abstract
Advances in long-read sequencing technologies and genome assembly methods have enabled the recent completion of the first telomere-to-telomere human genome assembly, which resolves complex segmental duplications and large tandem repeats, including centromeric satellite arrays in a complete hydatidiform mole (CHM13). Although derived from highly accurate sequences, evaluation revealed evidence of small errors and structural misassemblies in the initial draft assembly. To correct these errors, we designed a new repeat-aware polishing strategy that made accurate assembly corrections in large repeats without overcorrection, ultimately fixing 51% of the existing errors and improving the assembly quality value from 70.2 to 73.9 measured from PacBio high-fidelity and Illumina k-mers. By comparing our results to standard automated polishing tools, we outline common polishing errors and offer practical suggestions for genome projects with limited resources. We also show how sequencing biases in both high-fidelity and Oxford Nanopore Technologies reads cause signature assembly errors that can be corrected with a diverse panel of sequencing technologies.
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Affiliation(s)
- Ann M. Mc Cartney
- Genome Informatics Section, Computational and Statistical Genomics Branch, NHGRI, NIH
| | - Kishwar Shafin
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Michael Alonge
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Andrey V. Bzikadze
- Graduate Program in Bioinformatics and Systems Biology, University of California San Diego, La Jolla, CA, USA
| | - Giulio Formenti
- Laboratory of Neurogenetics of Language and The Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
| | | | | | - Chirag Jain
- Genome Informatics Section, Computational and Statistical Genomics Branch, NHGRI, NIH,Department of Computational and Data Sciences, Indian Institute of Science, Bangalore KA, India
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, NHGRI, NIH
| | - Glennis A. Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Karen H. Miga
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Alla Mikheenko
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Alaina Shumate
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Daniela C. Soto
- Genome Center, MIND Institute, Department of Biochemistry and Molecular Medicine, University of California, Davis, CA, USA
| | - Ivan Sović
- Pacific Biosciences, Menlo Park, CA, USA,Digital BioLogic d.o.o., Ivanić-Grad, Croatia
| | | | - Justin M. Zook
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Adam M. Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, NHGRI, NIH,Correspondence: ,
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, NHGRI, NIH,Correspondence: ,
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22
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Jain C, Rhie A, Hansen NF, Koren S, Phillippy AM. Long-read mapping to repetitive reference sequences using Winnowmap2. Nat Methods 2022; 19:705-710. [PMID: 35365778 PMCID: PMC10510034 DOI: 10.1038/s41592-022-01457-8] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 03/17/2022] [Indexed: 01/10/2023]
Abstract
Approximately 5-10% of the human genome remains inaccessible due to the presence of repetitive sequences such as segmental duplications and tandem repeat arrays. We show that existing long-read mappers often yield incorrect alignments and variant calls within long, near-identical repeats, as they remain vulnerable to allelic bias. In the presence of a nonreference allele within a repeat, a read sampled from that region could be mapped to an incorrect repeat copy. To address this limitation, we developed a new long-read mapping method, Winnowmap2, by using minimal confidently alignable substrings. Winnowmap2 computes each read mapping through a collection of confident subalignments. This approach is more tolerant of structural variation and more sensitive to paralog-specific variants within repeats. Our experiments highlight that Winnowmap2 successfully addresses the issue of allelic bias, enabling more accurate downstream variant calls in repetitive sequences.
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Affiliation(s)
- Chirag Jain
- Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, India.
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD, USA.
| | - Arang Rhie
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD, USA
| | - Nancy F Hansen
- Comparative Genomics Analysis Unit, National Human Genome Research Institute, Bethesda, MD, USA
| | - Sergey Koren
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD, USA
| | - Adam M Phillippy
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD, USA
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23
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Gershman A, Sauria MEG, Guitart X, Vollger MR, Hook PW, Hoyt SJ, Jain M, Shumate A, Razaghi R, Koren S, Altemose N, Caldas GV, Logsdon GA, Rhie A, Eichler EE, Schatz MC, O'Neill RJ, Phillippy AM, Miga KH, Timp W. Epigenetic patterns in a complete human genome. Science 2022; 376:eabj5089. [PMID: 35357915 PMCID: PMC9170183 DOI: 10.1126/science.abj5089] [Citation(s) in RCA: 97] [Impact Index Per Article: 48.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The completion of a telomere-to-telomere human reference genome, T2T-CHM13, has resolved complex regions of the genome, including repetitive and homologous regions. Here, we present a high-resolution epigenetic study of previously unresolved sequences, representing entire acrocentric chromosome short arms, gene family expansions, and a diverse collection of repeat classes. This resource precisely maps CpG methylation (32.28 million CpGs), DNA accessibility, and short-read datasets (166,058 previously unresolved chromatin immunoprecipitation sequencing peaks) to provide evidence of activity across previously unidentified or corrected genes and reveals clinically relevant paralog-specific regulation. Probing CpG methylation across human centromeres from six diverse individuals generated an estimate of variability in kinetochore localization. This analysis provides a framework with which to investigate the most elusive regions of the human genome, granting insights into epigenetic regulation.
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Affiliation(s)
- Ariel Gershman
- Department of Molecular Biology and Genetics, Johns Hopkins University, Baltimore, MD, USA
| | - Michael E G Sauria
- Department of Biology and Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Xavi Guitart
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Mitchell R Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Paul W Hook
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Savannah J Hoyt
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Miten Jain
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Alaina Shumate
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Roham Razaghi
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nicolas Altemose
- Department of Bioengineering, University of California Berkeley, Berkeley, CA, USA
| | - Gina V Caldas
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley CA, USA
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Michael C Schatz
- Department of Biology and Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Rachel J O'Neill
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Karen H Miga
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Winston Timp
- Department of Molecular Biology and Genetics, Johns Hopkins University, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
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24
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Altemose N, Glennis A, Bzikadze AV, Sidhwani P, Langley SA, Caldas GV, Hoyt SJ, Uralsky L, Ryabov FD, Shew CJ, Sauria MEG, Borchers M, Gershman A, Mikheenko A, Shepelev VA, Dvorkina T, Kunyavskaya O, Vollger MR, Rhie A, McCartney AM, Asri M, Lorig-Roach R, Shafin K, Aganezov S, Olson D, de Lima LG, Potapova T, Hartley GA, Haukness M, Kerpedjiev P, Gusev F, Tigyi K, Brooks S, Young A, Nurk S, Koren S, Salama SR, Paten B, Rogaev EI, Streets A, Karpen GH, Dernburg AF, Sullivan BA, Straight AF, Wheeler TJ, Gerton JL, Eichler EE, Phillippy AM, Timp W, Dennis MY, O'Neill RJ, Zook JM, Schatz MC, Pevzner PA, Diekhans M, Langley CH, Alexandrov IA, Miga KH. Complete genomic and epigenetic maps of human centromeres. Science 2022; 376:eabl4178. [PMID: 35357911 PMCID: PMC9233505 DOI: 10.1126/science.abl4178] [Citation(s) in RCA: 157] [Impact Index Per Article: 78.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Existing human genome assemblies have almost entirely excluded repetitive sequences within and near centromeres, limiting our understanding of their organization, evolution, and functions, which include facilitating proper chromosome segregation. Now, a complete, telomere-to-telomere human genome assembly (T2T-CHM13) has enabled us to comprehensively characterize pericentromeric and centromeric repeats, which constitute 6.2% of the genome (189.9 megabases). Detailed maps of these regions revealed multimegabase structural rearrangements, including in active centromeric repeat arrays. Analysis of centromere-associated sequences uncovered a strong relationship between the position of the centromere and the evolution of the surrounding DNA through layered repeat expansions. Furthermore, comparisons of chromosome X centromeres across a diverse panel of individuals illuminated high degrees of structural, epigenetic, and sequence variation in these complex and rapidly evolving regions.
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Affiliation(s)
- Nicolas Altemose
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - A. Glennis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Andrey V. Bzikadze
- Graduate Program in Bioinformatics and Systems Biology, University of California San Diego, La Jolla, CA, USA
| | - Pragya Sidhwani
- Department of Biochemistry, Stanford University, Stanford, CA, USA
| | - Sasha A. Langley
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Gina V. Caldas
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Savannah J. Hoyt
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Lev Uralsky
- Sirius University of Science and Technology, Sochi, Russia
- Vavilov Institute of General Genetics, Moscow, Russia
| | | | - Colin J. Shew
- Genome Center, MIND Institute, and Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, Davis, CA, USA
| | | | | | - Ariel Gershman
- Department of Molecular Biology and Genetics, Johns Hopkins University, Baltimore, MD, USA
| | - Alla Mikheenko
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia
| | | | - Tatiana Dvorkina
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia
| | - Olga Kunyavskaya
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia
| | - Mitchell R. Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ann M. McCartney
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mobin Asri
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Ryan Lorig-Roach
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Kishwar Shafin
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Sergey Aganezov
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Daniel Olson
- Department of Computer Science, University of Montana, Missoula, MT. USA
| | | | - Tamara Potapova
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - Gabrielle A. Hartley
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Marina Haukness
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | | | - Fedor Gusev
- Vavilov Institute of General Genetics, Moscow, Russia
| | - Kristof Tigyi
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Shelise Brooks
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alice Young
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sergey Nurk
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sofie R. Salama
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
- Department of Biomolecular Engineering, University of California Santa Cruz, CA, USA
| | - Evgeny I. Rogaev
- Sirius University of Science and Technology, Sochi, Russia
- Vavilov Institute of General Genetics, Moscow, Russia
- Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA, USA
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Aaron Streets
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Gary H. Karpen
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
- BioEngineering and BioMedical Sciences Department, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Abby F. Dernburg
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, CA, USA
| | - Beth A. Sullivan
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
| | | | - Travis J. Wheeler
- Department of Computer Science, University of Montana, Missoula, MT. USA
| | - Jennifer L. Gerton
- Stowers Institute for Medical Research, Kansas City, MO, USA
- University of Kansas Medical School, Department of Biochemistry and Molecular Biology and Cancer Center, University of Kansas, Kansas City, KS, USA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Adam M. Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Winston Timp
- Department of Molecular Biology and Genetics, Johns Hopkins University, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Megan Y. Dennis
- Genome Center, MIND Institute, and Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, Davis, CA, USA
| | - Rachel J. O'Neill
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Justin M. Zook
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Michael C. Schatz
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Pavel A. Pevzner
- Department of Computer Science and Engineering, University of California at San Diego, San Diego, CA, USA
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Charles H. Langley
- Department of Evolution and Ecology, University of California Davis, Davis, CA, USA
| | - Ivan A. Alexandrov
- Vavilov Institute of General Genetics, Moscow, Russia
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia
- Research Center of Biotechnology of the Russian Academy of Sciences, Moscow, Russia
| | - Karen H. Miga
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
- Department of Biomolecular Engineering, University of California Santa Cruz, CA, USA
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25
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Aganezov S, Yan SM, Soto DC, Kirsche M, Zarate S, Avdeyev P, Taylor DJ, Shafin K, Shumate A, Xiao C, Wagner J, McDaniel J, Olson ND, Sauria MEG, Vollger MR, Rhie A, Meredith M, Martin S, Lee J, Koren S, Rosenfeld JA, Paten B, Layer R, Chin CS, Sedlazeck FJ, Hansen NF, Miller DE, Phillippy AM, Miga KH, McCoy RC, Dennis MY, Zook JM, Schatz MC. A complete reference genome improves analysis of human genetic variation. Science 2022; 376:eabl3533. [PMID: 35357935 DOI: 10.1126/science.abl3533] [Citation(s) in RCA: 94] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Compared to its predecessors, the Telomere-to-Telomere CHM13 genome adds nearly 200 million base pairs of sequence, corrects thousands of structural errors, and unlocks the most complex regions of the human genome for clinical and functional study. We show how this reference universally improves read mapping and variant calling for 3202 and 17 globally diverse samples sequenced with short and long reads, respectively. We identify hundreds of thousands of variants per sample in previously unresolved regions, showcasing the promise of the T2T-CHM13 reference for evolutionary and biomedical discovery. Simultaneously, this reference eliminates tens of thousands of spurious variants per sample, including reduction of false positives in 269 medically relevant genes by up to a factor of 12. Because of these improvements in variant discovery coupled with population and functional genomic resources, T2T-CHM13 is positioned to replace GRCh38 as the prevailing reference for human genetics.
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Affiliation(s)
- Sergey Aganezov
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Stephanie M Yan
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Daniela C Soto
- Department of Biochemistry and Molecular Medicine, Genome Center, MIND Institute, University of California, Davis, CA, USA
| | - Melanie Kirsche
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Samantha Zarate
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Pavel Avdeyev
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD, USA
| | - Dylan J Taylor
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Kishwar Shafin
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Alaina Shumate
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Chunlin Xiao
- National Center for Biotechnology Information, National Library of Medicine, Bethesda, MD, USA
| | - Justin Wagner
- National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Jennifer McDaniel
- National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Nathan D Olson
- National Institute of Standards and Technology, Gaithersburg, MD, USA
| | | | - Mitchell R Vollger
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Arang Rhie
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD, USA
| | - Melissa Meredith
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Skylar Martin
- Department of Computer Science and Biofrontiers Institute, University of Colorado, Boulder, CO, USA
| | - Joyce Lee
- Bionano Genomics, San Diego, CA, USA
| | - Sergey Koren
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD, USA
| | | | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Ryan Layer
- Department of Computer Science and Biofrontiers Institute, University of Colorado, Boulder, CO, USA
| | | | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Nancy F Hansen
- Comparative Genomics Analysis Unit, National Human Genome Research Institute, Rockville, MD, USA
| | - Danny E Miller
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.,Department of Pediatrics, Division of Genetic Medicine, University of Washington and Seattle Children's Hospital, Seattle, WA, USA
| | - Adam M Phillippy
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD, USA
| | - Karen H Miga
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Rajiv C McCoy
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Megan Y Dennis
- Department of Biochemistry and Molecular Medicine, Genome Center, MIND Institute, University of California, Davis, CA, USA
| | - Justin M Zook
- National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Michael C Schatz
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.,Department of Biology, Johns Hopkins University, Baltimore, MD, USA.,Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
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26
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Hoyt SJ, Storer JM, Hartley GA, Grady PGS, Gershman A, de Lima LG, Limouse C, Halabian R, Wojenski L, Rodriguez M, Altemose N, Rhie A, Core LJ, Gerton JL, Makalowski W, Olson D, Rosen J, Smit AFA, Straight AF, Vollger MR, Wheeler TJ, Schatz MC, Eichler EE, Phillippy AM, Timp W, Miga KH, O’Neill RJ. From telomere to telomere: The transcriptional and epigenetic state of human repeat elements. Science 2022; 376:eabk3112. [PMID: 35357925 PMCID: PMC9301658 DOI: 10.1126/science.abk3112] [Citation(s) in RCA: 108] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Mobile elements and repetitive genomic regions are sources of lineage-specific genomic innovation and uniquely fingerprint individual genomes. Comprehensive analyses of such repeat elements, including those found in more complex regions of the genome, require a complete, linear genome assembly. We present a de novo repeat discovery and annotation of the T2T-CHM13 human reference genome. We identified previously unknown satellite arrays, expanded the catalog of variants and families for repeats and mobile elements, characterized classes of complex composite repeats, and located retroelement transduction events. We detected nascent transcription and delineated CpG methylation profiles to define the structure of transcriptionally active retroelements in humans, including those in centromeres. These data expand our insight into the diversity, distribution, and evolution of repetitive regions that have shaped the human genome.
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Affiliation(s)
- Savannah J. Hoyt
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | | | - Gabrielle A. Hartley
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Patrick G. S. Grady
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Ariel Gershman
- Department of Molecular Biology and Genetics, Johns Hopkins University, Baltimore, MD, USA
| | | | - Charles Limouse
- Department of Biochemistry, Stanford University, Stanford, CA, USA
| | - Reza Halabian
- Institute of Bioinformatics, Faculty of Medicine, University of Münster, Münster, Germany
| | - Luke Wojenski
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Matias Rodriguez
- Institute of Bioinformatics, Faculty of Medicine, University of Münster, Münster, Germany
| | - Nicolas Altemose
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Leighton J. Core
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
| | | | - Wojciech Makalowski
- Institute of Bioinformatics, Faculty of Medicine, University of Münster, Münster, Germany
| | - Daniel Olson
- Department of Computer Science, University of Montana, Missoula, MT, USA
| | - Jeb Rosen
- Institute for Systems Biology, Seattle, WA, USA
| | | | | | - Mitchell R. Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Travis J. Wheeler
- Department of Computer Science, University of Montana, Missoula, MT, USA
| | - Michael C. Schatz
- Department of Computer Science and Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Adam M. Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Winston Timp
- Department of Molecular Biology and Genetics, Johns Hopkins University, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Karen H. Miga
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Rachel J. O’Neill
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- Department of Genetics and Genome Sciences, UConn Health, Farmington, CT, USA
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27
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Nurk S, Koren S, Rhie A, Rautiainen M, Bzikadze AV, Mikheenko A, Vollger MR, Altemose N, Uralsky L, Gershman A, Aganezov S, Hoyt SJ, Diekhans M, Logsdon GA, Alonge M, Antonarakis SE, Borchers M, Bouffard GG, Brooks SY, Caldas GV, Chen NC, Cheng H, Chin CS, Chow W, de Lima LG, Dishuck PC, Durbin R, Dvorkina T, Fiddes IT, Formenti G, Fulton RS, Fungtammasan A, Garrison E, Grady PG, Graves-Lindsay TA, Hall IM, Hansen NF, Hartley GA, Haukness M, Howe K, Hunkapiller MW, Jain C, Jain M, Jarvis ED, Kerpedjiev P, Kirsche M, Kolmogorov M, Korlach J, Kremitzki M, Li H, Maduro VV, Marschall T, McCartney AM, McDaniel J, Miller DE, Mullikin JC, Myers EW, Olson ND, Paten B, Peluso P, Pevzner PA, Porubsky D, Potapova T, Rogaev EI, Rosenfeld JA, Salzberg SL, Schneider VA, Sedlazeck FJ, Shafin K, Shew CJ, Shumate A, Sims Y, Smit AFA, Soto DC, Sović I, Storer JM, Streets A, Sullivan BA, Thibaud-Nissen F, Torrance J, Wagner J, Walenz BP, Wenger A, Wood JMD, Xiao C, Yan SM, Young AC, Zarate S, Surti U, McCoy RC, Dennis MY, Alexandrov IA, Gerton JL, O’Neill RJ, Timp W, Zook JM, Schatz MC, Eichler EE, Miga KH, Phillippy AM. The complete sequence of a human genome. Science 2022; 376:44-53. [PMID: 35357919 PMCID: PMC9186530 DOI: 10.1126/science.abj6987] [Citation(s) in RCA: 894] [Impact Index Per Article: 447.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Since its initial release in 2000, the human reference genome has covered only the euchromatic fraction of the genome, leaving important heterochromatic regions unfinished. Addressing the remaining 8% of the genome, the Telomere-to-Telomere (T2T) Consortium presents a complete 3.055 billion-base pair sequence of a human genome, T2T-CHM13, that includes gapless assemblies for all chromosomes except Y, corrects errors in the prior references, and introduces nearly 200 million base pairs of sequence containing 1956 gene predictions, 99 of which are predicted to be protein coding. The completed regions include all centromeric satellite arrays, recent segmental duplications, and the short arms of all five acrocentric chromosomes, unlocking these complex regions of the genome to variational and functional studies.
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Affiliation(s)
- Sergey Nurk
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD USA
| | - Mikko Rautiainen
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD USA
| | - Andrey V. Bzikadze
- Graduate Program in Bioinformatics and Systems Biology, University of California, San Diego; La Jolla, CA, USA
| | - Alla Mikheenko
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University; Saint Petersburg, Russia
| | - Mitchell R. Vollger
- Department of Genome Sciences, University of Washington School of Medicine; Seattle, WA, USA
| | - Nicolas Altemose
- Department of Bioengineering, University of California, Berkeley; Berkeley, CA, USA
| | - Lev Uralsky
- Sirius University of Science and Technology; Sochi, Russia
- Vavilov Institute of General Genetics; Moscow, Russia
| | - Ariel Gershman
- Department of Molecular Biology and Genetics, Johns Hopkins University; Baltimore, MD, USA
| | - Sergey Aganezov
- Department of Computer Science, Johns Hopkins University; Baltimore, MD, USA
| | - Savannah J. Hoyt
- Institute for Systems Genomics and Department of Molecular and Cell Biology, University of Connecticut; Storrs, CT, USA
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz; Santa Cruz, CA, USA
| | - Glennis A. Logsdon
- Department of Genome Sciences, University of Washington School of Medicine; Seattle, WA, USA
| | - Michael Alonge
- Department of Computer Science, Johns Hopkins University; Baltimore, MD, USA
| | | | | | - Gerard G. Bouffard
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD, USA
| | - Shelise Y. Brooks
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD, USA
| | - Gina V. Caldas
- Department of Molecular and Cell Biology, University of California, Berkeley; Berkeley, CA, USA
| | - Nae-Chyun Chen
- Department of Computer Science, Johns Hopkins University; Baltimore, MD, USA
| | - Haoyu Cheng
- Department of Data Sciences, Dana-Farber Cancer Institute; Boston, MA
- Department of Biomedical Informatics, Harvard Medical School; Boston, MA
| | | | | | | | - Philip C. Dishuck
- Department of Genome Sciences, University of Washington School of Medicine; Seattle, WA, USA
| | - Richard Durbin
- Wellcome Sanger Institute; Cambridge, UK
- Department of Genetics, University of Cambridge; Cambridge, UK
| | - Tatiana Dvorkina
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University; Saint Petersburg, Russia
| | | | - Giulio Formenti
- Laboratory of Neurogenetics of Language and The Vertebrate Genome Lab, The Rockefeller University; New York, NY, USA
- Howard Hughes Medical Institute; Chevy Chase, MD, USA
| | - Robert S. Fulton
- Department of Genetics, Washington University School of Medicine; St. Louis, MO, USA
| | | | - Erik Garrison
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz; Santa Cruz, CA, USA
- University of Tennessee Health Science Center; Memphis, TN, USA
| | - Patrick G.S. Grady
- Institute for Systems Genomics and Department of Molecular and Cell Biology, University of Connecticut; Storrs, CT, USA
| | | | - Ira M. Hall
- Department of Genetics, Yale University School of Medicine; New Haven, CT, USA
| | - Nancy F. Hansen
- Comparative Genomics Analysis Unit, Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD, USA
| | - Gabrielle A. Hartley
- Institute for Systems Genomics and Department of Molecular and Cell Biology, University of Connecticut; Storrs, CT, USA
| | - Marina Haukness
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz; Santa Cruz, CA, USA
| | | | | | - Chirag Jain
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD USA
- Department of Computational and Data Sciences, Indian Institute of Science; Bangalore KA, India
| | - Miten Jain
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz; Santa Cruz, CA, USA
| | - Erich D. Jarvis
- Laboratory of Neurogenetics of Language and The Vertebrate Genome Lab, The Rockefeller University; New York, NY, USA
- Howard Hughes Medical Institute; Chevy Chase, MD, USA
| | | | - Melanie Kirsche
- Department of Computer Science, Johns Hopkins University; Baltimore, MD, USA
| | - Mikhail Kolmogorov
- Department of Computer Science and Engineering, University of California, San Diego; San Diego, CA, USA
| | | | - Milinn Kremitzki
- McDonnell Genome Institute, Washington University in St. Louis; St. Louis, MO, USA
| | - Heng Li
- Department of Data Sciences, Dana-Farber Cancer Institute; Boston, MA
- Department of Biomedical Informatics, Harvard Medical School; Boston, MA
| | - Valerie V. Maduro
- Undiagnosed Diseases Program, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD, USA
| | - Tobias Marschall
- Heinrich Heine University Düsseldorf, Medical Faculty, Institute for Medical Biometry and Bioinformatics; Düsseldorf, Germany
| | - Ann M. McCartney
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD USA
| | - Jennifer McDaniel
- Biosystems and Biomaterials Division, National Institute of Standards and Technology; Gaithersburg, MD, USA
| | - Danny E. Miller
- Department of Genome Sciences, University of Washington School of Medicine; Seattle, WA, USA
- Department of Pediatrics, Division of Genetic Medicine, University of Washington and Seattle Children’s Hospital; Seattle, WA, USA
| | - James C. Mullikin
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD, USA
- Comparative Genomics Analysis Unit, Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD, USA
| | - Eugene W. Myers
- Max-Planck Institute of Molecular Cell Biology and Genetics; Dresden, Germany
| | - Nathan D. Olson
- Biosystems and Biomaterials Division, National Institute of Standards and Technology; Gaithersburg, MD, USA
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz; Santa Cruz, CA, USA
| | | | - Pavel A. Pevzner
- Department of Computer Science and Engineering, University of California, San Diego; San Diego, CA, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine; Seattle, WA, USA
| | - Tamara Potapova
- Stowers Institute for Medical Research; Kansas City, MO, USA
| | - Evgeny I. Rogaev
- Sirius University of Science and Technology; Sochi, Russia
- Vavilov Institute of General Genetics; Moscow, Russia
- Department of Psychiatry, University of Massachusetts Medical School; Worcester, MA, USA
- Faculty of Biology, Lomonosov Moscow State University; Moscow, Russia
| | | | - Steven L. Salzberg
- Department of Computer Science, Johns Hopkins University; Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University; Baltimore, MD, USA
| | - Valerie A. Schneider
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health; Bethesda, MD, USA
| | - Fritz J. Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine; Houston TX, USA
| | - Kishwar Shafin
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz; Santa Cruz, CA, USA
| | - Colin J. Shew
- Genome Center, MIND Institute, Department of Biochemistry and Molecular Medicine, University of California, Davis; CA, USA
| | - Alaina Shumate
- Department of Biomedical Engineering, Johns Hopkins University; Baltimore, MD, USA
| | - Ying Sims
- Wellcome Sanger Institute; Cambridge, UK
| | | | - Daniela C. Soto
- Genome Center, MIND Institute, Department of Biochemistry and Molecular Medicine, University of California, Davis; CA, USA
| | - Ivan Sović
- Pacific Biosciences; Menlo Park, CA, USA
- Digital BioLogic d.o.o.; Ivanić-Grad, Croatia
| | | | - Aaron Streets
- Department of Bioengineering, University of California, Berkeley; Berkeley, CA, USA
- Chan Zuckerberg Biohub; San Francisco, CA, USA
| | - Beth A. Sullivan
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine; Durham, NC, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health; Bethesda, MD, USA
| | | | - Justin Wagner
- Biosystems and Biomaterials Division, National Institute of Standards and Technology; Gaithersburg, MD, USA
| | - Brian P. Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD USA
| | | | | | - Chunlin Xiao
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health; Bethesda, MD, USA
| | - Stephanie M. Yan
- Department of Biology, Johns Hopkins University; Baltimore, MD, USA
| | - Alice C. Young
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD, USA
| | - Samantha Zarate
- Department of Computer Science, Johns Hopkins University; Baltimore, MD, USA
| | - Urvashi Surti
- Department of Pathology, University of Pittsburgh; Pittsburgh, PA, USA
| | - Rajiv C. McCoy
- Department of Biology, Johns Hopkins University; Baltimore, MD, USA
| | - Megan Y. Dennis
- Genome Center, MIND Institute, Department of Biochemistry and Molecular Medicine, University of California, Davis; CA, USA
| | - Ivan A. Alexandrov
- Center for Algorithmic Biotechnology, Institute of Translational Biomedicine, Saint Petersburg State University; Saint Petersburg, Russia
- Vavilov Institute of General Genetics; Moscow, Russia
- Research Center of Biotechnology of the Russian Academy of Sciences; Moscow, Russia
| | - Jennifer L. Gerton
- Stowers Institute for Medical Research; Kansas City, MO, USA
- Department of Biochemistry and Molecular Biology, University of Kansas Medical School; Kansas City, MO, USA
| | - Rachel J. O’Neill
- Institute for Systems Genomics and Department of Molecular and Cell Biology, University of Connecticut; Storrs, CT, USA
| | - Winston Timp
- Department of Molecular Biology and Genetics, Johns Hopkins University; Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University; Baltimore, MD, USA
| | - Justin M. Zook
- Biosystems and Biomaterials Division, National Institute of Standards and Technology; Gaithersburg, MD, USA
| | - Michael C. Schatz
- Department of Computer Science, Johns Hopkins University; Baltimore, MD, USA
- Department of Biology, Johns Hopkins University; Baltimore, MD, USA
| | - Evan E. Eichler
- Department of Genome Sciences, University of Washington School of Medicine; Seattle, WA, USA
- Howard Hughes Medical Institute; Chevy Chase, MD, USA
| | - Karen H. Miga
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz; Santa Cruz, CA, USA
- Department of Biomolecular Engineering, University of California Santa Cruz, CA, USA
| | - Adam M. Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health; Bethesda, MD USA
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28
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Lawniczak MKN, Durbin R, Flicek P, Lindblad-Toh K, Wei X, Archibald JM, Baker WJ, Belov K, Blaxter ML, Marques Bonet T, Childers AK, Coddington JA, Crandall KA, Crawford AJ, Davey RP, Di Palma F, Fang Q, Haerty W, Hall N, Hoff KJ, Howe K, Jarvis ED, Johnson WE, Johnson RN, Kersey PJ, Liu X, Lopez JV, Myers EW, Pettersson OV, Phillippy AM, Poelchau MF, Pruitt KD, Rhie A, Castilla-Rubio JC, Sahu SK, Salmon NA, Soltis PS, Swarbreck D, Thibaud-Nissen F, Wang S, Wegrzyn JL, Zhang G, Zhang H, Lewin HA, Richards S. Standards recommendations for the Earth BioGenome Project. Proc Natl Acad Sci U S A 2022; 119:e2115639118. [PMID: 35042802 PMCID: PMC8795494 DOI: 10.1073/pnas.2115639118] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
A global international initiative, such as the Earth BioGenome Project (EBP), requires both agreement and coordination on standards to ensure that the collective effort generates rapid progress toward its goals. To this end, the EBP initiated five technical standards committees comprising volunteer members from the global genomics scientific community: Sample Collection and Processing, Sequencing and Assembly, Annotation, Analysis, and IT and Informatics. The current versions of the resulting standards documents are available on the EBP website, with the recognition that opportunities, technologies, and challenges may improve or change in the future, requiring flexibility for the EBP to meet its goals. Here, we describe some highlights from the proposed standards, and areas where additional challenges will need to be met.
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Affiliation(s)
- Mara K N Lawniczak
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, United Kingdom
| | - Richard Durbin
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, United Kingdom
- Department of Genetics, University of Cambridge, Cambridge CB3 0DH, United Kingdom
| | - Paul Flicek
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, United Kingdom
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge CB10 1SD, United Kingdom
| | - Kerstin Lindblad-Toh
- Broad Institute of MIT and Harvard, Cambridge, MA 02142
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University 751 23 Uppsala, Sweden
| | | | - John M Archibald
- Department of Biochemistry and Molecular Biology, Dalhousie University, Halifax, NS B3H 4R2, Canada
| | - William J Baker
- Department of Accelerated Taxonomy, Royal Botanic Gardens, Kew, Surrey TW9 3AE, United Kingdom
| | - Katherine Belov
- School of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, NSW 2006, Australia
| | - Mark L Blaxter
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, United Kingdom
| | - Tomas Marques Bonet
- Institute of Evolutionary Biology, Consejo Superior de Investigaciones Científicas-Universitat Pompeau Fabra, Parc de Rechercha Biomédica Barcelona 08003 Barcelona, Spain
- Catalan Institution of Research and Advanced Studies 08010 Barcelona, Spain
- Centre Nacional d'Anàlisi Geonòmica - Centre for Genomic Regulation, Barcelona Institute of Science and Technology 08028 Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona 08193 Barcelona, Spain
| | - Anna K Childers
- Bee Research Laboratory, Beltsville Agricultural Research Center, US Department of Agriculture, Agricultural Research Service, Beltsville, MD 20705
| | - Jonathan A Coddington
- Smithsonian Institution, National Museum of Natural History, Washington, DC 20560-0105
| | - Keith A Crandall
- Computational Biology Institute and Department of Biostatistics & Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC 20052
| | - Andrew J Crawford
- Department of Biological Sciences, Universidad de los Andes 111711 Bogotá, Colombia
| | - Robert P Davey
- Engineering Biology, Earlham Institute, Norwich Research Park, Norwich NR4 7UZ, United Kingdom
| | | | - Qi Fang
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China
| | - Wilfried Haerty
- Earlham Institute, Norwich Research Park, Norwich NR4 7UZ, United Kingdom
| | - Neil Hall
- Genome British Columbia, Vancouver, BC V5Z 0C4, Canada
- Earlham Institute, Norwich Research Park, Norwich NR4 7UZ, United Kingdom
| | - Katharina J Hoff
- Institute of Mathematics and Computer Science, Center for Functional Genomics of Microbes, University of Greifswald 17489 Greifswald, Germany
| | - Kerstin Howe
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, United Kingdom
| | - Erich D Jarvis
- Vertebrate Genomes Lab, The Rockefeller University, New York, NY 10065
- HHMI, Chevy Chase, MD 20815
| | - Warren E Johnson
- Center for Species Survival, Smithsonian Conservation Biology Institute, National Zoological Park, Front Royal, VA 22630
- The Walter Reed Biosystematics Unit, Museum Support Center MRC-534, Smithsonian Institution, Suitland, MD 20746-2863
| | - Rebecca N Johnson
- Smithsonian Institution, National Museum of Natural History, Washington, DC 20560-0105
| | - Paul J Kersey
- European Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge CB10 1SD, United Kingdom
| | - Xin Liu
- China National GeneBank, Shenzhen 518120, China
| | - Jose Victor Lopez
- Halmos College of Arts and Sciences, Guy Harvey Oceanographic Center, Nova Southeastern University, Dania Beach, FL 33004
| | - Eugene W Myers
- Department of Systems Biology, Max Planck Institute of Molecular Cell Biology and Genetics, Dresden 01307, Germany
| | | | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20894
| | - Monica F Poelchau
- National Agricultural Library, USDA Agricultural Research Service, Beltsville, MD 20705
| | - Kim D Pruitt
- National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20894
| | | | - Sunil Kumar Sahu
- China National GeneBank, Shenzhen 518120, China
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen 518083, China
| | - Nicholas A Salmon
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, United Kingdom
| | - Pamela S Soltis
- Florida Museum of Natural History, University of Florida, Gainesville, FL 32611
| | - David Swarbreck
- Earlham Institute, Norwich Research Park, Norwich NR4 7UZ, United Kingdom
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD 20894
| | - Sibo Wang
- China National GeneBank, Shenzhen 518120, China
| | - Jill L Wegrzyn
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT 06269
- Institute for Systems Genomics, Computational Biology Core, University of Connecticut, Storrs, CT 06269
| | - Guojie Zhang
- Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen 1165 Copenhagen, Denmark
- China National Genebank, BGI-Shenzhen 518083 Shenzhen, China
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences 650223 Kunming, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences 650223 Kunming, China
| | - He Zhang
- BGI-Qingdao, BGI-Shenzhen 266555 Qingdao, China
| | - Harris A Lewin
- University of California Davis Genome Center, University of California, Davis, CA 95616
- Department of Evolution and Ecology, University of California, Davis, CA 95616
| | - Stephen Richards
- University of California Davis Genome Center, University of California, Davis, CA 95616;
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29
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Peart CR, Williams C, Pophaly SD, Neely BA, Gulland FMD, Adams DJ, Ng BL, Cheng W, Goebel ME, Fedrigo O, Haase B, Mountcastle J, Fungtammasan A, Formenti G, Collins J, Wood J, Sims Y, Torrance J, Tracey A, Howe K, Rhie A, Hoffman JI, Johnson J, Jarvis ED, Breen M, Wolf JBW. Hi-C scaffolded short- and long-read genome assemblies of the California sea lion are broadly consistent for syntenic inference across 45 million years of evolution. Mol Ecol Resour 2021; 21:2455-2470. [PMID: 34097816 PMCID: PMC9732816 DOI: 10.1111/1755-0998.13443] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 05/06/2021] [Accepted: 05/26/2021] [Indexed: 12/13/2022]
Abstract
With the advent of chromatin-interaction maps, chromosome-level genome assemblies have become a reality for a wide range of organisms. Scaffolding quality is, however, difficult to judge. To explore this gap, we generated multiple chromosome-scale genome assemblies of an emerging wild animal model for carcinogenesis, the California sea lion (Zalophus californianus). Short-read assemblies were scaffolded with two independent chromatin interaction mapping data sets (Hi-C and Chicago), and long-read assemblies with three data types (Hi-C, optical maps and 10X linked reads) following the "Vertebrate Genomes Project (VGP)" pipeline. In both approaches, 18 major scaffolds recovered the karyotype (2n = 36), with scaffold N50s of 138 and 147 Mb, respectively. Synteny relationships at the chromosome level with other pinniped genomes (2n = 32-36), ferret (2n = 34), red panda (2n = 36) and domestic dog (2n = 78) were consistent across approaches and recovered known fissions and fusions. Comparative chromosome painting and multicolour chromosome tiling with a panel of 264 genome-integrated single-locus canine bacterial artificial chromosome probes provided independent evaluation of genome organization. Broad-scale discrepancies between the approaches were observed within chromosomes, most commonly in translocations centred around centromeres and telomeres, which were better resolved in the VGP assembly. Genomic and cytological approaches agreed on near-perfect synteny of the X chromosome, and in combination allowed detailed investigation of autosomal rearrangements between dog and sea lion. This study presents high-quality genomes of an emerging cancer model and highlights that even highly fragmented short-read assemblies scaffolded with Hi-C can yield reliable chromosome-level scaffolds suitable for comparative genomic analyses.
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Affiliation(s)
- Claire R. Peart
- Division of Evolutionary Biology, Faculty of Biology, LMU Munich, Munchen, Germany
| | - Christina Williams
- Department of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA
| | - Saurabh D. Pophaly
- Division of Evolutionary Biology, Faculty of Biology, LMU Munich, Munchen, Germany,Max Planck institute for Plant Breeding Research, Cologne, Germany
| | - Benjamin A. Neely
- National Institute of Standards and Technology, NIST Charleston, Charleston, South Carolina, USA
| | - Frances M. D. Gulland
- Karen Dryer Wildlife Health Center, University of California Davis, Davis, California, USA
| | - David J. Adams
- Cytometry Core Facility, Wellcome Sanger Institute, Cambridge, UK
| | - Bee Ling Ng
- Cytometry Core Facility, Wellcome Sanger Institute, Cambridge, UK
| | - William Cheng
- Cytometry Core Facility, Wellcome Sanger Institute, Cambridge, UK
| | - Michael E. Goebel
- Institute of Marine Science, University of California Santa Cruz, Santa Cruz, California, USA
| | - Olivier Fedrigo
- Vertebrate Genome Lab, The Rockefeller University, New York City, New York, USA
| | - Bettina Haase
- Vertebrate Genome Lab, The Rockefeller University, New York City, New York, USA
| | | | | | - Giulio Formenti
- Vertebrate Genome Lab, The Rockefeller University, New York City, New York, USA,Laboratory of Neurogenetics of Language, The Rockefeller University, New York City, New York, USA
| | - Joanna Collins
- Tree of Life Programme, Wellcome Sanger Institute, Cambridge, UK
| | - Jonathan Wood
- Tree of Life Programme, Wellcome Sanger Institute, Cambridge, UK
| | - Ying Sims
- Tree of Life Programme, Wellcome Sanger Institute, Cambridge, UK
| | - James Torrance
- Tree of Life Programme, Wellcome Sanger Institute, Cambridge, UK
| | - Alan Tracey
- Tree of Life Programme, Wellcome Sanger Institute, Cambridge, UK
| | - Kerstin Howe
- Tree of Life Programme, Wellcome Sanger Institute, Cambridge, UK
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland, USA
| | - Joseph I. Hoffman
- Department of Animal Behaviour, Bielefeld University, Bielefeld, Germany,British Antarctic Survey, Cambridge, UK
| | - Jeremy Johnson
- Broad Institute of Harvard and Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA
| | - Erich D. Jarvis
- Vertebrate Genome Lab, The Rockefeller University, New York City, New York, USA,Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
| | - Matthew Breen
- Department of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA,Comparative Medicine Institute, North Carolina State University, Raleigh, North Carolina, USA
| | - Jochen B. W. Wolf
- Division of Evolutionary Biology, Faculty of Biology, LMU Munich, Munchen, Germany
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30
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Dussex N, van der Valk T, Morales HE, Wheat CW, Díez-del-Molino D, von Seth J, Foster Y, Kutschera VE, Guschanski K, Rhie A, Phillippy AM, Korlach J, Howe K, Chow W, Pelan S, Mendes Damas JD, Lewin HA, Hastie AR, Formenti G, Fedrigo O, Guhlin J, Harrop TW, Le Lec MF, Dearden PK, Haggerty L, Martin FJ, Kodali V, Thibaud-Nissen F, Iorns D, Knapp M, Gemmell NJ, Robertson F, Moorhouse R, Digby A, Eason D, Vercoe D, Howard J, Jarvis ED, Robertson BC, Dalén L. Population genomics of the critically endangered kākāpō. Cell Genom 2021; 1:100002. [PMID: 36777713 PMCID: PMC9903828 DOI: 10.1016/j.xgen.2021.100002] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 04/23/2021] [Accepted: 06/22/2021] [Indexed: 12/30/2022]
Abstract
The kākāpō is a flightless parrot endemic to New Zealand. Once common in the archipelago, only 201 individuals remain today, most of them descending from an isolated island population. We report the first genome-wide analyses of the species, including a high-quality genome assembly for kākāpō, one of the first chromosome-level reference genomes sequenced by the Vertebrate Genomes Project (VGP). We also sequenced and analyzed 35 modern genomes from the sole surviving island population and 14 genomes from the extinct mainland population. While theory suggests that such a small population is likely to have accumulated deleterious mutations through genetic drift, our analyses on the impact of the long-term small population size in kākāpō indicate that present-day island kākāpō have a reduced number of harmful mutations compared to mainland individuals. We hypothesize that this reduced mutational load is due to the island population having been subjected to a combination of genetic drift and purging of deleterious mutations, through increased inbreeding and purifying selection, since its isolation from the mainland ∼10,000 years ago. Our results provide evidence that small populations can survive even when isolated for hundreds of generations. This work provides key insights into kākāpō breeding and recovery and more generally into the application of genetic tools in conservation efforts for endangered species.
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Affiliation(s)
- Nicolas Dussex
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405 Stockholm, Sweden,Department of Zoology, Stockholm University, 10691 Stockholm, Sweden,Department of Anatomy, University of Otago, PO Box 913, Dunedin 9016, New Zealand,Corresponding author
| | - Tom van der Valk
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405 Stockholm, Sweden
| | - Hernán E. Morales
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | | | - David Díez-del-Molino
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405 Stockholm, Sweden
| | - Johanna von Seth
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405 Stockholm, Sweden,Department of Zoology, Stockholm University, 10691 Stockholm, Sweden
| | - Yasmin Foster
- Department of Zoology, University of Otago, PO Box 56, Dunedin 9054, New Zealand
| | - Verena E. Kutschera
- Department of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Box 1031, 17121 Solna, Sweden
| | - Katerina Guschanski
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK,Department of Ecology and Genetics, Animal Ecology, Uppsala University, 75236 Uppsala, Sweden
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Adam M. Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jonas Korlach
- Pacific Biosciences, 1305 O’Brien Drive, Menlo Park, CA 94025, USA
| | - Kerstin Howe
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - William Chow
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Sarah Pelan
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Joanna D. Mendes Damas
- Department of Evolution and Ecology and the UC Davis Genome Center, 4321 Genome and Biomedical Sciences Facility, University of California Davis, Davis, CA 95616, USA
| | - Harris A. Lewin
- Department of Evolution and Ecology and the UC Davis Genome Center, 4321 Genome and Biomedical Sciences Facility, University of California Davis, Davis, CA 95616, USA
| | - Alex R. Hastie
- Bionano Genomics, 9540 Towne Centre Drive, San Diego, CA 92121, USA
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY 10065, USA,Laboratory of Neurogenetics of Language, Box 54, The Rockefeller University, New York, NY 10065, USA,Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY 10065, USA
| | - Joseph Guhlin
- Genomics Aotearoa and Laboratory for Evolution and Development, Department of Biochemistry, University of Otago, PO Box 56, Dunedin 9016, New Zealand
| | - Thomas W.R. Harrop
- Genomics Aotearoa and Laboratory for Evolution and Development, Department of Biochemistry, University of Otago, PO Box 56, Dunedin 9016, New Zealand
| | - Marissa F. Le Lec
- Genomics Aotearoa and Laboratory for Evolution and Development, Department of Biochemistry, University of Otago, PO Box 56, Dunedin 9016, New Zealand
| | - Peter K. Dearden
- Genomics Aotearoa and Laboratory for Evolution and Development, Department of Biochemistry, University of Otago, PO Box 56, Dunedin 9016, New Zealand
| | - Leanne Haggerty
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Fergal J. Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Vamsi Kodali
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - David Iorns
- The Genetic Rescue Foundation, Wellington, New Zealand
| | - Michael Knapp
- Department of Anatomy, University of Otago, PO Box 913, Dunedin 9016, New Zealand
| | - Neil J. Gemmell
- Department of Anatomy, University of Otago, PO Box 913, Dunedin 9016, New Zealand
| | - Fiona Robertson
- Department of Zoology, University of Otago, PO Box 56, Dunedin 9054, New Zealand
| | - Ron Moorhouse
- Kākāpō Recovery, Department of Conservation, PO Box 743, Invercargill 9840, New Zealand
| | - Andrew Digby
- Kākāpō Recovery, Department of Conservation, PO Box 743, Invercargill 9840, New Zealand
| | - Daryl Eason
- Kākāpō Recovery, Department of Conservation, PO Box 743, Invercargill 9840, New Zealand
| | - Deidre Vercoe
- Kākāpō Recovery, Department of Conservation, PO Box 743, Invercargill 9840, New Zealand
| | - Jason Howard
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY 10065, USA,BioSkryb Genomics, 701 W Main Street, Suite 200, Durham, NC 27701, USA
| | - Erich D. Jarvis
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY 10065, USA,Laboratory of Neurogenetics of Language, Box 54, The Rockefeller University, New York, NY 10065, USA,Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA,Corresponding author
| | - Bruce C. Robertson
- Department of Zoology, University of Otago, PO Box 56, Dunedin 9054, New Zealand,Corresponding author
| | - Love Dalén
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405 Stockholm, Sweden,Department of Zoology, Stockholm University, 10691 Stockholm, Sweden,Corresponding author
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31
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Palatini U, Masri RA, Cosme LV, Koren S, Thibaud-Nissen F, Biedler JK, Krsticevic F, Johnston JS, Halbach R, Crawford JE, Antoshechkin I, Failloux AB, Pischedda E, Marconcini M, Ghurye J, Rhie A, Sharma A, Karagodin DA, Jenrette J, Gamez S, Miesen P, Masterson P, Caccone A, Sharakhova MV, Tu Z, Papathanos PA, Van Rij RP, Akbari OS, Powell J, Phillippy AM, Bonizzoni M. Author Correction: Improved reference genome of the arboviral vector Aedes albopictus. Genome Biol 2021; 22:205. [PMID: 34253230 PMCID: PMC8274027 DOI: 10.1186/s13059-021-02431-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Umberto Palatini
- Department of Biology and Biotechnology, University of Pavia, 27100, Pavia, Italy
| | - Reem A Masri
- Department of Entomology and the Fralin Life Science Institute, Virginia Polytechnic and State University, Blacksburg, VA, 24061, USA
| | - Luciano V Cosme
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, 06511-8934, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892-2152, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - James K Biedler
- Department of Entomology and the Fralin Life Science Institute, Virginia Polytechnic and State University, Blacksburg, VA, 24061, USA
| | - Flavia Krsticevic
- Department of Entomology, Robert H Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, 7610001, Rehovot, Israel
| | - J Spencer Johnston
- Department of Entomology, Texas A&M University, College Station, TX, 77843, USA
| | - Rebecca Halbach
- Department of Medical Microbiology, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | | | - Igor Antoshechkin
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Anna-Bella Failloux
- Department of Virology, Arbovirus and Insect Vectors Units, Institut Pasteur, 75015, Paris, France
| | - Elisa Pischedda
- Department of Biology and Biotechnology, University of Pavia, 27100, Pavia, Italy
| | - Michele Marconcini
- Department of Biology and Biotechnology, University of Pavia, 27100, Pavia, Italy
| | - Jay Ghurye
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892-2152, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892-2152, USA
| | - Atashi Sharma
- Department of Entomology and the Fralin Life Science Institute, Virginia Polytechnic and State University, Blacksburg, VA, 24061, USA
| | - Dmitry A Karagodin
- Laboratory of Evolutionary Genomics of Insects, The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russia
| | - Jeremy Jenrette
- Department of Entomology and the Fralin Life Science Institute, Virginia Polytechnic and State University, Blacksburg, VA, 24061, USA
| | - Stephanie Gamez
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093-0349, USA
| | - Pascal Miesen
- Department of Medical Microbiology, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Adalgisa Caccone
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, 06511-8934, USA
| | - Maria V Sharakhova
- Department of Entomology and the Fralin Life Science Institute, Virginia Polytechnic and State University, Blacksburg, VA, 24061, USA.,Laboratory of Evolutionary Genomics of Insects, The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russia.,Laboratory of Ecology, Genetics and Environment Protection, Tomsk State University, Tomsk, 634041, Russia
| | - Zhijian Tu
- Department of Entomology and the Fralin Life Science Institute, Virginia Polytechnic and State University, Blacksburg, VA, 24061, USA
| | - Philippos A Papathanos
- Department of Entomology, Robert H Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, 7610001, Rehovot, Israel
| | - Ronald P Van Rij
- Department of Medical Microbiology, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Omar S Akbari
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093-0349, USA
| | - Jeffrey Powell
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, 06511-8934, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892-2152, USA
| | - Mariangela Bonizzoni
- Department of Biology and Biotechnology, University of Pavia, 27100, Pavia, Italy.
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32
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Formenti G, Rhie A, Balacco J, Haase B, Mountcastle J, Fedrigo O, Brown S, Capodiferro MR, Al-Ajli FO, Ambrosini R, Houde P, Koren S, Oliver K, Smith M, Skelton J, Betteridge E, Dolucan J, Corton C, Bista I, Torrance J, Tracey A, Wood J, Uliano-Silva M, Howe K, McCarthy S, Winkler S, Kwak W, Korlach J, Fungtammasan A, Fordham D, Costa V, Mayes S, Chiara M, Horner DS, Myers E, Durbin R, Achilli A, Braun EL, Phillippy AM, Jarvis ED. Complete vertebrate mitogenomes reveal widespread repeats and gene duplications. Genome Biol 2021; 22:120. [PMID: 33910595 PMCID: PMC8082918 DOI: 10.1186/s13059-021-02336-9] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 03/31/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Modern sequencing technologies should make the assembly of the relatively small mitochondrial genomes an easy undertaking. However, few tools exist that address mitochondrial assembly directly. RESULTS As part of the Vertebrate Genomes Project (VGP) we develop mitoVGP, a fully automated pipeline for similarity-based identification of mitochondrial reads and de novo assembly of mitochondrial genomes that incorporates both long (> 10 kbp, PacBio or Nanopore) and short (100-300 bp, Illumina) reads. Our pipeline leads to successful complete mitogenome assemblies of 100 vertebrate species of the VGP. We observe that tissue type and library size selection have considerable impact on mitogenome sequencing and assembly. Comparing our assemblies to purportedly complete reference mitogenomes based on short-read sequencing, we identify errors, missing sequences, and incomplete genes in those references, particularly in repetitive regions. Our assemblies also identify novel gene region duplications. The presence of repeats and duplications in over half of the species herein assembled indicates that their occurrence is a principle of mitochondrial structure rather than an exception, shedding new light on mitochondrial genome evolution and organization. CONCLUSIONS Our results indicate that even in the "simple" case of vertebrate mitogenomes the completeness of many currently available reference sequences can be further improved, and caution should be exercised before claiming the complete assembly of a mitogenome, particularly from short reads alone.
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Affiliation(s)
- Giulio Formenti
- The Vertebrate Genome Lab, Rockefeller University, New York, NY, USA.
- Laboratory of Neurogenetics of Language, Rockefeller University, New York, NY, USA.
- The Howards Hughes Medical Institute, Chevy Chase, MD, USA.
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jennifer Balacco
- The Vertebrate Genome Lab, Rockefeller University, New York, NY, USA
| | - Bettina Haase
- The Vertebrate Genome Lab, Rockefeller University, New York, NY, USA
| | | | - Olivier Fedrigo
- The Vertebrate Genome Lab, Rockefeller University, New York, NY, USA
| | - Samara Brown
- Laboratory of Neurogenetics of Language, Rockefeller University, New York, NY, USA
- The Howards Hughes Medical Institute, Chevy Chase, MD, USA
| | | | - Farooq O Al-Ajli
- Monash University Malaysia Genomics Facility, School of Science, Bandar Sunway, Selangor Darul Ehsan, Malaysia
- Tropical Medicine and Biology Multidisciplinary Platform, Monash University Malaysia, Bandar Sunway, Selangor Darul Ehsan, Malaysia
- Qatar Falcon Genome Project, Doha, State of Qatar
| | - Roberto Ambrosini
- Department of Environmental Science and Policy, University of Milan, Milan, Italy
| | - Peter Houde
- Department of Biology, New Mexico State University, Las Cruces, NM, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | | | | | | | | | - Iliana Bista
- Wellcome Sanger Institute, Cambridge, UK
- Department of Genetics, University of Cambridge, Cambridge, UK
| | | | | | | | | | | | - Shane McCarthy
- Wellcome Sanger Institute, Cambridge, UK
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Sylke Winkler
- Max Planck Institute of Molecular Cell Biology & Genetics, Dresden, Germany
| | | | | | | | - Daniel Fordham
- Oxford Nanopore Technologies Ltd, Oxford Science Park, Oxford, UK
| | - Vania Costa
- Oxford Nanopore Technologies Ltd, Oxford Science Park, Oxford, UK
| | - Simon Mayes
- Oxford Nanopore Technologies Ltd, Oxford Science Park, Oxford, UK
| | - Matteo Chiara
- Department of Biosciences, University of Milan, Milan, Italy
| | - David S Horner
- Department of Biosciences, University of Milan, Milan, Italy
| | - Eugene Myers
- Max Planck Institute of Molecular Cell Biology & Genetics, Dresden, Germany
| | - Richard Durbin
- Wellcome Sanger Institute, Cambridge, UK
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Alessandro Achilli
- Department of Biology and Biotechnology "L. Spallanzani", University of Pavia, Pavia, Italy
| | - Edward L Braun
- Department of Biology, University of Florida, Gainesville, FL, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Erich D Jarvis
- The Vertebrate Genome Lab, Rockefeller University, New York, NY, USA.
- Laboratory of Neurogenetics of Language, Rockefeller University, New York, NY, USA.
- The Howards Hughes Medical Institute, Chevy Chase, MD, USA.
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33
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Kronenberg ZN, Rhie A, Koren S, Concepcion GT, Peluso P, Munson KM, Porubsky D, Kuhn K, Mueller KA, Low WY, Hiendleder S, Fedrigo O, Liachko I, Hall RJ, Phillippy AM, Eichler EE, Williams JL, Smith TPL, Jarvis ED, Sullivan ST, Kingan SB. Extended haplotype-phasing of long-read de novo genome assemblies using Hi-C. Nat Commun 2021; 12:1935. [PMID: 33911078 PMCID: PMC8081726 DOI: 10.1038/s41467-020-20536-y] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 11/12/2020] [Indexed: 01/27/2023] Open
Abstract
Haplotype-resolved genome assemblies are important for understanding how combinations of variants impact phenotypes. To date, these assemblies have been best created with complex protocols, such as cultured cells that contain a single-haplotype (haploid) genome, single cells where haplotypes are separated, or co-sequencing of parental genomes in a trio-based approach. These approaches are impractical in most situations. To address this issue, we present FALCON-Phase, a phasing tool that uses ultra-long-range Hi-C chromatin interaction data to extend phase blocks of partially-phased diploid assembles to chromosome or scaffold scale. FALCON-Phase uses the inherent phasing information in Hi-C reads, skipping variant calling, and reduces the computational complexity of phasing. Our method is validated on three benchmark datasets generated as part of the Vertebrate Genomes Project (VGP), including human, cow, and zebra finch, for which high-quality, fully haplotype-resolved assemblies are available using the trio-based approach. FALCON-Phase is accurate without having parental data and performance is better in samples with higher heterozygosity. For cow and zebra finch the accuracy is 97% compared to 80-91% for human. FALCON-Phase is applicable to any draft assembly that contains long primary contigs and phased associate contigs.
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Affiliation(s)
- Zev N Kronenberg
- Phase Genomics, Seattle, WA, USA.
- Pacific Biosciences, Menlo Park, CA, USA.
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | | | | | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Kristen Kuhn
- US Meat Animal Research Center, ARS USDA, Clay Center, NE, USA
| | | | - Wai Yee Low
- Davies Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA, Australia
| | - Stefan Hiendleder
- Davies Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA, Australia
| | - Olivier Fedrigo
- Vertebrate Genomes Laboratory, The Rockefeller University, New York, NY, USA
| | | | | | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - John L Williams
- Davies Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy, SA, Australia
- Dipartimento di Scienze Animali, della Nutrizione e degli Alimenti, Università Cattolica del Sacro Cuore, 29122, Piacenza, Italy
| | | | - Erich D Jarvis
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
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34
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Yang C, Zhou Y, Marcus S, Formenti G, Bergeron LA, Song Z, Bi X, Bergman J, Rousselle MMC, Zhou C, Zhou L, Deng Y, Fang M, Xie D, Zhu Y, Tan S, Mountcastle J, Haase B, Balacco J, Wood J, Chow W, Rhie A, Pippel M, Fabiszak MM, Koren S, Fedrigo O, Freiwald WA, Howe K, Yang H, Phillippy AM, Schierup MH, Jarvis ED, Zhang G. Evolutionary and biomedical insights from a marmoset diploid genome assembly. Nature 2021; 594:227-233. [PMID: 33910227 PMCID: PMC8189906 DOI: 10.1038/s41586-021-03535-x] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Accepted: 04/12/2021] [Indexed: 01/23/2023]
Abstract
The accurate and complete assembly of both haplotype sequences of a diploid organism is essential to understanding the role of variation in genome functions, phenotypes and diseases1. Here, using a trio-binning approach, we present a high-quality, diploid reference genome, with both haplotypes assembled independently at the chromosome level, for the common marmoset (Callithrix jacchus), an primate model system that is widely used in biomedical research2,3. The full spectrum of heterozygosity between the two haplotypes involves 1.36% of the genome-much higher than the 0.13% indicated by the standard estimation based on single-nucleotide heterozygosity alone. The de novo mutation rate is 0.43 × 10-8 per site per generation, and the paternal inherited genome acquired twice as many mutations as the maternal. Our diploid assembly enabled us to discover a recent expansion of the sex-differentiation region and unique evolutionary changes in the marmoset Y chromosome. In addition, we identified many genes with signatures of positive selection that might have contributed to the evolution of Callithrix biological features. Brain-related genes were highly conserved between marmosets and humans, although several genes experienced lineage-specific copy number variations or diversifying selection, with implications for the use of marmosets as a model system.
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Affiliation(s)
- Chentao Yang
- BGI-Shenzhen, Shenzhen, China.,Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | | | - Stephanie Marcus
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - Giulio Formenti
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA.,Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Lucie A Bergeron
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Zhenzhen Song
- University of the Chinese Academy of Sciences, Beijing, China
| | | | - Juraj Bergman
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | | | | | | | - Yuan Deng
- BGI-Shenzhen, Shenzhen, China.,Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | | | - Duo Xie
- BGI-Shenzhen, Shenzhen, China
| | | | | | | | - Bettina Haase
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Jennifer Balacco
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | | | | | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Martin Pippel
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.,Center for Systems Biology, Dresden, Germany
| | | | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Winrich A Freiwald
- Laboratory of Neural Systems, The Rockefeller University, New York, NY, USA.,Center for Brains, Minds and Machines (CBMM), The Rockefeller University, New York, NY, USA
| | | | - Huanming Yang
- BGI-Shenzhen, Shenzhen, China.,University of the Chinese Academy of Sciences, Beijing, China.,James D. Watson Institute of Genome Sciences, Hangzhou, China.,Guangdong Provincial Academician Workstation of BGI Synthetic Genomics, BGI-Shenzhen, Shenzhen, China
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Erich D Jarvis
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA.,Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA.,Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Guojie Zhang
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark. .,State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China. .,China National GeneBank, BGI-Shenzhen, Shenzhen, China. .,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
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35
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Zhou Y, Shearwin-Whyatt L, Li J, Song Z, Hayakawa T, Stevens D, Fenelon JC, Peel E, Cheng Y, Pajpach F, Bradley N, Suzuki H, Nikaido M, Damas J, Daish T, Perry T, Zhu Z, Geng Y, Rhie A, Sims Y, Wood J, Haase B, Mountcastle J, Fedrigo O, Li Q, Yang H, Wang J, Johnston SD, Phillippy AM, Howe K, Jarvis ED, Ryder OA, Kaessmann H, Donnelly P, Korlach J, Lewin HA, Graves J, Belov K, Renfree MB, Grutzner F, Zhou Q, Zhang G. Platypus and echidna genomes reveal mammalian biology and evolution. Nature 2021; 592:756-762. [PMID: 33408411 PMCID: PMC8081666 DOI: 10.1038/s41586-020-03039-0] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Accepted: 07/30/2020] [Indexed: 12/13/2022]
Abstract
Egg-laying mammals (monotremes) are the only extant mammalian outgroup to therians (marsupial and eutherian animals) and provide key insights into mammalian evolution1,2. Here we generate and analyse reference genomes of the platypus (Ornithorhynchus anatinus) and echidna (Tachyglossus aculeatus), which represent the only two extant monotreme lineages. The nearly complete platypus genome assembly has anchored almost the entire genome onto chromosomes, markedly improving the genome continuity and gene annotation. Together with our echidna sequence, the genomes of the two species allow us to detect the ancestral and lineage-specific genomic changes that shape both monotreme and mammalian evolution. We provide evidence that the monotreme sex chromosome complex originated from an ancestral chromosome ring configuration. The formation of such a unique chromosome complex may have been facilitated by the unusually extensive interactions between the multi-X and multi-Y chromosomes that are shared by the autosomal homologues in humans. Further comparative genomic analyses unravel marked differences between monotremes and therians in haptoglobin genes, lactation genes and chemosensory receptor genes for smell and taste that underlie the ecological adaptation of monotremes.
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Affiliation(s)
- Yang Zhou
- BGI-Shenzhen, Shenzhen, China
- Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Linda Shearwin-Whyatt
- School of Biological Sciences, The Environment Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Jing Li
- MOE Laboratory of Biosystems Homeostasis and Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China
| | - Zhenzhen Song
- BGI-Shenzhen, Shenzhen, China
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China
| | - Takashi Hayakawa
- Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Japan
- Japan Monkey Centre, Inuyama, Japan
| | - David Stevens
- School of Biological Sciences, The Environment Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Jane C Fenelon
- School of BioSciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Emma Peel
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Yuanyuan Cheng
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Filip Pajpach
- School of Biological Sciences, The Environment Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Natasha Bradley
- School of Biological Sciences, The Environment Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | | | - Masato Nikaido
- School of Life Science and Technology, Tokyo Institute of Technology, Tokyo, Japan
| | - Joana Damas
- The Genome Center, University of California, Davis, CA, USA
| | - Tasman Daish
- School of Biological Sciences, The Environment Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Tahlia Perry
- School of Biological Sciences, The Environment Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Zexian Zhu
- MOE Laboratory of Biosystems Homeostasis and Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China
| | - Yuncong Geng
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ying Sims
- Tree of Life Programme, Wellcome Sanger Institute, Cambridge, UK
| | - Jonathan Wood
- Tree of Life Programme, Wellcome Sanger Institute, Cambridge, UK
| | - Bettina Haase
- The Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
| | | | - Olivier Fedrigo
- The Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
| | - Qiye Li
- BGI-Shenzhen, Shenzhen, China
| | - Huanming Yang
- BGI-Shenzhen, Shenzhen, China
- James D. Watson Institute of Genome Sciences, Hangzhou, China
- University of the Chinese Academy of Sciences, Beijing, China
- Guangdong Provincial Academician Workstation of BGI Synthetic Genomics, BGI-Shenzhen, Shenzhen, China
| | - Jian Wang
- BGI-Shenzhen, Shenzhen, China
- James D. Watson Institute of Genome Sciences, Hangzhou, China
| | - Stephen D Johnston
- School of Agriculture and Food Sciences, The University of Queensland, Gatton, Queensland, Australia
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kerstin Howe
- Tree of Life Programme, Wellcome Sanger Institute, Cambridge, UK
| | - Erich D Jarvis
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | | | - Henrik Kaessmann
- Center for Molecular Biology of Heidelberg University (ZMBH), DKFZ-ZMBH Alliance, Heidelberg, Germany
| | - Peter Donnelly
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | | | - Harris A Lewin
- The Genome Center, University of California, Davis, CA, USA
- Department of Evolution and Ecology, College of Biological Sciences, University of California, Davis, CA, USA
- Department of Reproduction and Population Health, School of Veterinary Medicine, University of California, Davis, CA, USA
| | - Jennifer Graves
- Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia
- Institute for Applied Ecology, University of Canberra, Canberra, Australian Capital Territory, Australia
- School of Life Sciences, La Trobe University, Melbourne, Victoria, Australia
| | - Katherine Belov
- School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Marilyn B Renfree
- School of BioSciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Frank Grutzner
- School of Biological Sciences, The Environment Institute, The University of Adelaide, Adelaide, South Australia, Australia.
| | - Qi Zhou
- MOE Laboratory of Biosystems Homeostasis and Protection and Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China.
- Department of Neuroscience and Developmental Biology, University of Vienna, Vienna, Austria.
- Center for Reproductive Medicine, The 2nd Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
| | - Guojie Zhang
- BGI-Shenzhen, Shenzhen, China.
- Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
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36
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Rhie A, McCarthy SA, Fedrigo O, Damas J, Formenti G, Koren S, Uliano-Silva M, Chow W, Fungtammasan A, Kim J, Lee C, Ko BJ, Chaisson M, Gedman GL, Cantin LJ, Thibaud-Nissen F, Haggerty L, Bista I, Smith M, Haase B, Mountcastle J, Winkler S, Paez S, Howard J, Vernes SC, Lama TM, Grutzner F, Warren WC, Balakrishnan CN, Burt D, George JM, Biegler MT, Iorns D, Digby A, Eason D, Robertson B, Edwards T, Wilkinson M, Turner G, Meyer A, Kautt AF, Franchini P, Detrich HW, Svardal H, Wagner M, Naylor GJP, Pippel M, Malinsky M, Mooney M, Simbirsky M, Hannigan BT, Pesout T, Houck M, Misuraca A, Kingan SB, Hall R, Kronenberg Z, Sović I, Dunn C, Ning Z, Hastie A, Lee J, Selvaraj S, Green RE, Putnam NH, Gut I, Ghurye J, Garrison E, Sims Y, Collins J, Pelan S, Torrance J, Tracey A, Wood J, Dagnew RE, Guan D, London SE, Clayton DF, Mello CV, Friedrich SR, Lovell PV, Osipova E, Al-Ajli FO, Secomandi S, Kim H, Theofanopoulou C, Hiller M, Zhou Y, Harris RS, Makova KD, Medvedev P, Hoffman J, Masterson P, Clark K, Martin F, Howe K, Flicek P, Walenz BP, Kwak W, Clawson H, Diekhans M, Nassar L, Paten B, Kraus RHS, Crawford AJ, Gilbert MTP, Zhang G, Venkatesh B, Murphy RW, Koepfli KP, Shapiro B, Johnson WE, Di Palma F, Marques-Bonet T, Teeling EC, Warnow T, Graves JM, Ryder OA, Haussler D, O'Brien SJ, Korlach J, Lewin HA, Howe K, Myers EW, Durbin R, Phillippy AM, Jarvis ED. Towards complete and error-free genome assemblies of all vertebrate species. Nature 2021; 592:737-746. [PMID: 33911273 PMCID: PMC8081667 DOI: 10.1038/s41586-021-03451-0] [Citation(s) in RCA: 591] [Impact Index Per Article: 197.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 03/12/2021] [Indexed: 02/02/2023]
Abstract
High-quality and complete reference genome assemblies are fundamental for the application of genomics to biology, disease, and biodiversity conservation. However, such assemblies are available for only a few non-microbial species1-4. To address this issue, the international Genome 10K (G10K) consortium5,6 has worked over a five-year period to evaluate and develop cost-effective methods for assembling highly accurate and nearly complete reference genomes. Here we present lessons learned from generating assemblies for 16 species that represent six major vertebrate lineages. We confirm that long-read sequencing technologies are essential for maximizing genome quality, and that unresolved complex repeats and haplotype heterozygosity are major sources of assembly error when not handled correctly. Our assemblies correct substantial errors, add missing sequence in some of the best historical reference genomes, and reveal biological discoveries. These include the identification of many false gene duplications, increases in gene sizes, chromosome rearrangements that are specific to lineages, a repeated independent chromosome breakpoint in bat genomes, and a canonical GC-rich pattern in protein-coding genes and their regulatory regions. Adopting these lessons, we have embarked on the Vertebrate Genomes Project (VGP), an international effort to generate high-quality, complete reference genomes for all of the roughly 70,000 extant vertebrate species and to help to enable a new era of discovery across the life sciences.
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Affiliation(s)
- Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shane A McCarthy
- Department of Genetics, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Cambridge, UK
| | - Olivier Fedrigo
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
| | - Joana Damas
- The Genome Center, University of California Davis, Davis, CA, USA
| | - Giulio Formenti
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marcela Uliano-Silva
- Leibniz Institute for Zoo and Wildlife Research, Department of Evolutionary Genetics, Berlin, Germany
- Berlin Center for Genomics in Biodiversity Research, Berlin, Germany
| | | | | | - Juwan Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Chul Lee
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Byung June Ko
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Mark Chaisson
- University of Southern California, Los Angeles, CA, USA
| | - Gregory L Gedman
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - Lindsey J Cantin
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - Francoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD, USA
| | - Leanne Haggerty
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Iliana Bista
- Department of Genetics, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Cambridge, UK
| | | | - Bettina Haase
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
| | | | - Sylke Winkler
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
- DRESDEN-concept Genome Center, Dresden, Germany
| | - Sadye Paez
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | | | - Sonja C Vernes
- Neurogenetics of Vocal Communication Group, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
- School of Biology, University of St Andrews, St Andrews, UK
| | - Tanya M Lama
- University of Massachusetts Cooperative Fish and Wildlife Research Unit, Amherst, MA, USA
| | - Frank Grutzner
- School of Biological Science, The Environment Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Wesley C Warren
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | | | - Dave Burt
- UQ Genomics, University of Queensland, Brisbane, Queensland, Australia
| | - Julia M George
- Department of Biological Sciences, Clemson University, Clemson, SC, USA
| | - Matthew T Biegler
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - David Iorns
- The Genetic Rescue Foundation, Wellington, New Zealand
| | - Andrew Digby
- Kākāpō Recovery, Department of Conservation, Invercargill, New Zealand
| | - Daryl Eason
- Kākāpō Recovery, Department of Conservation, Invercargill, New Zealand
| | - Bruce Robertson
- Department of Zoology, University of Otago, Dunedin, New Zealand
| | | | - Mark Wilkinson
- Department of Life Sciences, Natural History Museum, London, UK
| | - George Turner
- School of Natural Sciences, Bangor University, Gwynedd, UK
| | - Axel Meyer
- Department of Biology, University of Konstanz, Konstanz, Germany
| | - Andreas F Kautt
- Department of Biology, University of Konstanz, Konstanz, Germany
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Paolo Franchini
- Department of Biology, University of Konstanz, Konstanz, Germany
| | - H William Detrich
- Department of Marine and Environmental Sciences, Northeastern University Marine Science Center, Nahant, MA, USA
| | - Hannes Svardal
- Department of Biology, University of Antwerp, Antwerp, Belgium
- Naturalis Biodiversity Center, Leiden, The Netherlands
| | - Maximilian Wagner
- Institute of Biology, Karl-Franzens University of Graz, Graz, Austria
| | - Gavin J P Naylor
- Florida Museum of Natural History, University of Florida, Gainesville, FL, USA
| | - Martin Pippel
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
- Center for Systems Biology, Dresden, Germany
| | - Milan Malinsky
- Wellcome Sanger Institute, Cambridge, UK
- Zoological Institute, University of Basel, Basel, Switzerland
| | | | | | | | - Trevor Pesout
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | | | | | | | | | | | - Ivan Sović
- Pacific Biosciences, Menlo Park, CA, USA
- Digital BioLogic, Ivanić-Grad, Croatia
| | | | - Zemin Ning
- Wellcome Sanger Institute, Cambridge, UK
| | | | - Joyce Lee
- Bionano Genomics, San Diego, CA, USA
| | | | - Richard E Green
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
- Dovetail Genomics, Santa Cruz, CA, USA
| | | | - Ivo Gut
- CNAG-CRG, Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Jay Ghurye
- Dovetail Genomics, Santa Cruz, CA, USA
- Department of Computer Science, University of Maryland College Park, College Park, MD, USA
| | - Erik Garrison
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Ying Sims
- Wellcome Sanger Institute, Cambridge, UK
| | | | | | | | | | | | | | - Dengfeng Guan
- Department of Genetics, University of Cambridge, Cambridge, UK
- School of Computer Science and Technology, Center for Bioinformatics, Harbin Institute of Technology, Harbin, China
| | - Sarah E London
- Department of Psychology, Institute for Mind and Biology, University of Chicago, Chicago, IL, USA
| | - David F Clayton
- Department of Genetics and Biochemistry, Clemson University, Clemson, SC, USA
| | - Claudio V Mello
- Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA
| | - Samantha R Friedrich
- Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA
| | - Peter V Lovell
- Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA
| | - Ekaterina Osipova
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
- Center for Systems Biology, Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, Dresden, Germany
| | - Farooq O Al-Ajli
- Monash University Malaysia Genomics Facility, School of Science, Selangor Darul Ehsan, Malaysia
- Tropical Medicine and Biology Multidisciplinary Platform, Monash University Malaysia, Selangor Darul Ehsan, Malaysia
- Qatar Falcon Genome Project, Doha, Qatar
| | | | - Heebal Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
- eGnome, Inc., Seoul, Republic of Korea
| | | | - Michael Hiller
- LOEWE Centre for Translational Biodiversity Genomics, Frankfurt, Germany
- Senckenberg Research Institute, Frankfurt, Germany
- Goethe-University, Faculty of Biosciences, Frankfurt, Germany
| | | | - Robert S Harris
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Kateryna D Makova
- Department of Biology, Pennsylvania State University, University Park, PA, USA
- Center for Medical Genomics, Pennsylvania State University, University Park, PA, USA
- Center for Computational Biology and Bioinformatics, Pennsylvania State University, University Park, PA, USA
| | - Paul Medvedev
- Center for Medical Genomics, Pennsylvania State University, University Park, PA, USA
- Center for Computational Biology and Bioinformatics, Pennsylvania State University, University Park, PA, USA
- Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA, USA
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
| | - Jinna Hoffman
- National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD, USA
| | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD, USA
| | - Karen Clark
- National Center for Biotechnology Information, National Library of Medicine, NIH, Bethesda, MD, USA
| | - Fergal Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Kevin Howe
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Brian P Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Woori Kwak
- eGnome, Inc., Seoul, Republic of Korea
- Hoonygen, Seoul, Korea
| | - Hiram Clawson
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Luis Nassar
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Robert H S Kraus
- Department of Biology, University of Konstanz, Konstanz, Germany
- Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany
| | - Andrew J Crawford
- Department of Biological Sciences, Universidad de los Andes, Bogotá, Colombia
| | - M Thomas P Gilbert
- Center for Evolutionary Hologenomics, The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
- University Museum, NTNU, Trondheim, Norway
| | - Guojie Zhang
- China National Genebank, BGI-Shenzhen, Shenzhen, China
- Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Byrappa Venkatesh
- Institute of Molecular and Cell Biology, A*STAR, Biopolis, Singapore, Singapore
| | - Robert W Murphy
- Centre for Biodiversity, Royal Ontario Museum, Toronto, Ontario, Canada
| | - Klaus-Peter Koepfli
- Smithsonian Conservation Biology Institute, Center for Species Survival, National Zoological Park, Washington, DC, USA
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Warren E Johnson
- Smithsonian Conservation Biology Institute, Center for Species Survival, National Zoological Park, Washington, DC, USA
- The Walter Reed Biosystematics Unit, Museum Support Center MRC-534, Smithsonian Institution, Suitland, MD, USA
- Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Federica Di Palma
- Department of Biological Sciences, Earlham Institute, University of East Anglia, Norwich, UK
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Barcelona, Spain
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Emma C Teeling
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
| | - Tandy Warnow
- Department of Computer Science, The University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | | | - Oliver A Ryder
- San Diego Zoo Global, Escondido, CA, USA
- Department of Evolution, Behavior, and Ecology, University of California San Diego, La Jolla, CA, USA
| | - David Haussler
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Stephen J O'Brien
- Laboratory of Genomics Diversity-Center for Computer Technologies, ITMO University, St. Petersburg, Russian Federation
- Guy Harvey Oceanographic Center, Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Fort Lauderdale, FL, USA
| | | | - Harris A Lewin
- The Genome Center, University of California Davis, Davis, CA, USA
- Department of Evolution and Ecology, University of California Davis, Davis, CA, USA
- John Muir Institute for the Environment, University of California Davis, Davis, CA, USA
| | | | - Eugene W Myers
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
- Center for Systems Biology, Dresden, Germany.
- Faculty of Computer Science, Technical University Dresden, Dresden, Germany.
| | - Richard Durbin
- Department of Genetics, University of Cambridge, Cambridge, UK.
- Wellcome Sanger Institute, Cambridge, UK.
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Erich D Jarvis
- Vertebrate Genome Lab, The Rockefeller University, New York, NY, USA.
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
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37
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Morin PA, Archer FI, Avila CD, Balacco JR, Bukhman YV, Chow W, Fedrigo O, Formenti G, Fronczek JA, Fungtammasan A, Gulland FMD, Haase B, Peter Heide-Jorgensen M, Houck ML, Howe K, Misuraca AC, Mountcastle J, Musser W, Paez S, Pelan S, Phillippy A, Rhie A, Robinson J, Rojas-Bracho L, Rowles TK, Ryder OA, Smith CR, Stevenson S, Taylor BL, Teilmann J, Torrance J, Wells RS, Westgate AJ, Jarvis ED. Reference genome and demographic history of the most endangered marine mammal, the vaquita. Mol Ecol Resour 2020; 21:1008-1020. [PMID: 33089966 PMCID: PMC8247363 DOI: 10.1111/1755-0998.13284] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 09/08/2020] [Accepted: 10/08/2020] [Indexed: 12/12/2022]
Abstract
The vaquita is the most critically endangered marine mammal, with fewer than 19 remaining in the wild. First described in 1958, the vaquita has been in rapid decline for more than 20 years resulting from inadvertent deaths due to the increasing use of large-mesh gillnets. To understand the evolutionary and demographic history of the vaquita, we used combined long-read sequencing and long-range scaffolding methods with long- and short-read RNA sequencing to generate a near error-free annotated reference genome assembly from cell lines derived from a female individual. The genome assembly consists of 99.92% of the assembled sequence contained in 21 nearly gapless chromosome-length autosome scaffolds and the X-chromosome scaffold, with a scaffold N50 of 115 Mb. Genome-wide heterozygosity is the lowest (0.01%) of any mammalian species analysed to date, but heterozygosity is evenly distributed across the chromosomes, consistent with long-term small population size at genetic equilibrium, rather than low diversity resulting from a recent population bottleneck or inbreeding. Historical demography of the vaquita indicates long-term population stability at less than 5,000 (Ne) for over 200,000 years. Together, these analyses indicate that the vaquita genome has had ample opportunity to purge highly deleterious alleles and potentially maintain diversity necessary for population health.
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Affiliation(s)
- Phillip A Morin
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, USA
| | - Frederick I Archer
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, USA
| | - Catherine D Avila
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA
| | - Jennifer R Balacco
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Yury V Bukhman
- Regenerative Biology, Morgridge Institute for Research, Madison, WI, USA
| | | | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Julie A Fronczek
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA
| | | | | | - Bettina Haase
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | | | - Marlys L Houck
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA
| | | | - Ann C Misuraca
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA
| | | | | | - Sadye Paez
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | | | - Adam Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Jacqueline Robinson
- Institute for Human Genetics, University of California, San Francisco, CA, USA
| | | | - Teri K Rowles
- Office of Protected Resources, National Marine Fisheries Service, NOAA, Silver Spring, MD, USA
| | - Oliver A Ryder
- San Diego Zoo Institute for Conservation Research, Escondido, CA, USA
| | | | | | - Barbara L Taylor
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA, USA
| | - Jonas Teilmann
- Marine Mammal Research, Department of Bioscience, Aarhus University, Roskilde, Denmark
| | | | - Randall S Wells
- Chicago Zoological Society's Sarasota Dolphin Research Program, c/o Mote Marine Laboratory, Sarasota, FL, USA
| | | | - Erich D Jarvis
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA.,Howard Hughes Medical Institute, Chevy Chase, MD, USA
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Rhie A, Walenz BP, Koren S, Phillippy AM. Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies. Genome Biol 2020; 21:245. [PMID: 32928274 PMCID: PMC7488777 DOI: 10.1186/s13059-020-02134-9] [Citation(s) in RCA: 510] [Impact Index Per Article: 127.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 08/06/2020] [Indexed: 01/26/2023] Open
Abstract
Recent long-read assemblies often exceed the quality and completeness of available reference genomes, making validation challenging. Here we present Merqury, a novel tool for reference-free assembly evaluation based on efficient k-mer set operations. By comparing k-mers in a de novo assembly to those found in unassembled high-accuracy reads, Merqury estimates base-level accuracy and completeness. For trios, Merqury can also evaluate haplotype-specific accuracy, completeness, phase block continuity, and switch errors. Multiple visualizations, such as k-mer spectrum plots, can be generated for evaluation. We demonstrate on both human and plant genomes that Merqury is a fast and robust method for assembly validation.
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Affiliation(s)
- Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Brian P. Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Adam M. Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
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39
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Nurk S, Walenz BP, Rhie A, Vollger MR, Logsdon GA, Grothe R, Miga KH, Eichler EE, Phillippy AM, Koren S. HiCanu: accurate assembly of segmental duplications, satellites, and allelic variants from high-fidelity long reads. Genome Res 2020; 30:1291-1305. [PMID: 32801147 PMCID: PMC7545148 DOI: 10.1101/gr.263566.120] [Citation(s) in RCA: 292] [Impact Index Per Article: 73.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Accepted: 08/04/2020] [Indexed: 12/14/2022]
Abstract
Complete and accurate genome assemblies form the basis of most downstream genomic analyses and are of critical importance. Recent genome assembly projects have relied on a combination of noisy long-read sequencing and accurate short-read sequencing, with the former offering greater assembly continuity and the latter providing higher consensus accuracy. The recently introduced Pacific Biosciences (PacBio) HiFi sequencing technology bridges this divide by delivering long reads (>10 kbp) with high per-base accuracy (>99.9%). Here we present HiCanu, a modification of the Canu assembler designed to leverage the full potential of HiFi reads via homopolymer compression, overlap-based error correction, and aggressive false overlap filtering. We benchmark HiCanu with a focus on the recovery of haplotype diversity, major histocompatibility complex (MHC) variants, satellite DNAs, and segmental duplications. For diploid human genomes sequenced to 30× HiFi coverage, HiCanu achieved superior accuracy and allele recovery compared to the current state of the art. On the effectively haploid CHM13 human cell line, HiCanu achieved an NG50 contig size of 77 Mbp with a per-base consensus accuracy of 99.999% (QV50), surpassing recent assemblies of high-coverage, ultralong Oxford Nanopore Technologies (ONT) reads in terms of both accuracy and continuity. This HiCanu assembly correctly resolves 337 out of 341 validation BACs sampled from known segmental duplications and provides the first preliminary assemblies of nine complete human centromeric regions. Although gaps and errors still remain within the most challenging regions of the genome, these results represent a significant advance toward the complete assembly of human genomes.
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Affiliation(s)
- Sergey Nurk
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Brian P Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Mitchell R Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA
| | - Robert Grothe
- Pacific Biosciences, Menlo Park, California 94025, USA
| | - Karen H Miga
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, California 95064, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20894, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20894, USA
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40
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Miga KH, Koren S, Rhie A, Vollger MR, Gershman A, Bzikadze A, Brooks S, Howe E, Porubsky D, Logsdon GA, Schneider VA, Potapova T, Wood J, Chow W, Armstrong J, Fredrickson J, Pak E, Tigyi K, Kremitzki M, Markovic C, Maduro V, Dutra A, Bouffard GG, Chang AM, Hansen NF, Wilfert AB, Thibaud-Nissen F, Schmitt AD, Belton JM, Selvaraj S, Dennis MY, Soto DC, Sahasrabudhe R, Kaya G, Quick J, Loman NJ, Holmes N, Loose M, Surti U, Risques RA, Graves Lindsay TA, Fulton R, Hall I, Paten B, Howe K, Timp W, Young A, Mullikin JC, Pevzner PA, Gerton JL, Sullivan BA, Eichler EE, Phillippy AM. Telomere-to-telomere assembly of a complete human X chromosome. Nature 2020; 585:79-84. [PMID: 32663838 PMCID: PMC7484160 DOI: 10.1038/s41586-020-2547-7] [Citation(s) in RCA: 390] [Impact Index Per Article: 97.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 05/29/2020] [Indexed: 12/15/2022]
Abstract
After two decades of improvements, the current human reference genome (GRCh38) is the most accurate and complete vertebrate genome ever produced. However, no single chromosome has been finished end to end, and hundreds of unresolved gaps persist1,2. Here we present a human genome assembly that surpasses the continuity of GRCh382, along with a gapless, telomere-to-telomere assembly of a human chromosome. This was enabled by high-coverage, ultra-long-read nanopore sequencing of the complete hydatidiform mole CHM13 genome, combined with complementary technologies for quality improvement and validation. Focusing our efforts on the human X chromosome3, we reconstructed the centromeric satellite DNA array (approximately 3.1 Mb) and closed the 29 remaining gaps in the current reference, including new sequences from the human pseudoautosomal regions and from cancer-testis ampliconic gene families (CT-X and GAGE). These sequences will be integrated into future human reference genome releases. In addition, the complete chromosome X, combined with the ultra-long nanopore data, allowed us to map methylation patterns across complex tandem repeats and satellite arrays. Our results demonstrate that finishing the entire human genome is now within reach, and the data presented here will facilitate ongoing efforts to complete the other human chromosomes.
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Affiliation(s)
- Karen H Miga
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA.
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mitchell R Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Ariel Gershman
- Department of Molecular Biology and Genetics, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Andrey Bzikadze
- Graduate Program in Bioinformatics and Systems Biology, University of California San Diego, San Diego, CA, USA
| | - Shelise Brooks
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, Rockville, MD, USA
| | - Edmund Howe
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Valerie A Schneider
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Tamara Potapova
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | | | | | - Joel Armstrong
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | | | - Evgenia Pak
- Cytogenetic and Microscopy Core, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kristof Tigyi
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Milinn Kremitzki
- McDonnell Genome Institute at Washington University, St Louis, MO, USA
| | | | - Valerie Maduro
- Undiagnosed Diseases Program, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Amalia Dutra
- Cytogenetic and Microscopy Core, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gerard G Bouffard
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, Rockville, MD, USA
| | - Alexander M Chang
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nancy F Hansen
- Comparative Genomics Analysis Unit, Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Amy B Wilfert
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | | | | | - Megan Y Dennis
- Department of Biochemistry and Molecular Medicine, Genome Center, MIND Institute, University of California Davis, Davis, CA, USA
| | - Daniela C Soto
- Department of Biochemistry and Molecular Medicine, Genome Center, MIND Institute, University of California Davis, Davis, CA, USA
| | - Ruta Sahasrabudhe
- DNA Technologies Core, Genome Center, University of California Davis, Davis, CA, USA
| | - Gulhan Kaya
- Department of Biochemistry and Molecular Medicine, Genome Center, MIND Institute, University of California Davis, Davis, CA, USA
| | - Josh Quick
- Institute of Microbiology and Infection, University of Birmingham, Birmingham, UK
| | - Nicholas J Loman
- Institute of Microbiology and Infection, University of Birmingham, Birmingham, UK
| | - Nadine Holmes
- DeepSeq, School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Matthew Loose
- DeepSeq, School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Urvashi Surti
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Rosa Ana Risques
- Department of Pathology, University of Washington, Seattle, WA, USA
| | | | - Robert Fulton
- McDonnell Genome Institute at Washington University, St Louis, MO, USA
| | - Ira Hall
- McDonnell Genome Institute at Washington University, St Louis, MO, USA
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | | | - Winston Timp
- Department of Molecular Biology and Genetics, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Alice Young
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, Rockville, MD, USA
| | - James C Mullikin
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, Rockville, MD, USA
| | - Pavel A Pevzner
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | | | - Beth A Sullivan
- Department of Molecular Genetics and Microbiology, Division of Human Genetics, Duke University Medical Center, Durham, NC, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
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Palatini U, Masri RA, Cosme LV, Koren S, Thibaud-Nissen F, Biedler JK, Krsticevic F, Johnston JS, Halbach R, Crawford JE, Antoshechkin I, Failloux AB, Pischedda E, Marconcini M, Ghurye J, Rhie A, Sharma A, Karagodin DA, Jenrette J, Gamez S, Miesen P, Masterson P, Caccone A, Sharakhova MV, Tu Z, Papathanos PA, Van Rij RP, Akbari OS, Powell J, Phillippy AM, Bonizzoni M. Improved reference genome of the arboviral vector Aedes albopictus. Genome Biol 2020; 21:215. [PMID: 32847630 PMCID: PMC7448346 DOI: 10.1186/s13059-020-02141-w] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Accepted: 08/07/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND The Asian tiger mosquito Aedes albopictus is globally expanding and has become the main vector for human arboviruses in Europe. With limited antiviral drugs and vaccines available, vector control is the primary approach to prevent mosquito-borne diseases. A reliable and accurate DNA sequence of the Ae. albopictus genome is essential to develop new approaches that involve genetic manipulation of mosquitoes. RESULTS We use long-read sequencing methods and modern scaffolding techniques (PacBio, 10X, and Hi-C) to produce AalbF2, a dramatically improved assembly of the Ae. albopictus genome. AalbF2 reveals widespread viral insertions, novel microRNAs and piRNA clusters, the sex-determining locus, and new immunity genes, and enables genome-wide studies of geographically diverse Ae. albopictus populations and analyses of the developmental and stage-dependent network of expression data. Additionally, we build the first physical map for this species with 75% of the assembled genome anchored to the chromosomes. CONCLUSION The AalbF2 genome assembly represents the most up-to-date collective knowledge of the Ae. albopictus genome. These resources represent a foundation to improve understanding of the adaptation potential and the epidemiological relevance of this species and foster the development of innovative control measures.
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Affiliation(s)
- Umberto Palatini
- Department of Biology and Biotechnology, University of Pavia, Pavia, 27100, Italy
| | - Reem A Masri
- Department of Entomology and the Fralin Life Science Institute, Virginia Polytechnic and State University, Blacksburg, VA, 24061, USA
| | - Luciano V Cosme
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, 06511-8934, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, 20892-2152, MD, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, 20894, MD, USA
| | - James K Biedler
- Department of Entomology and the Fralin Life Science Institute, Virginia Polytechnic and State University, Blacksburg, VA, 24061, USA
| | - Flavia Krsticevic
- Department of Entomology, Robert H Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, 7610001, Rehovot, Israel
| | - J Spencer Johnston
- Department of Entomology, Texas A&M University, College Station, TX, 77843, USA
| | - Rebecca Halbach
- Department of Medical Microbiology, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | | | - Igor Antoshechkin
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Anna-Bella Failloux
- Department of Virology, Arbovirus and Insect Vectors Units, Institut Pasteur, Paris, 75015, France
| | - Elisa Pischedda
- Department of Biology and Biotechnology, University of Pavia, Pavia, 27100, Italy
| | - Michele Marconcini
- Department of Biology and Biotechnology, University of Pavia, Pavia, 27100, Italy
| | - Jay Ghurye
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, 20892-2152, MD, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, 20892-2152, MD, USA
| | - Atashi Sharma
- Department of Entomology and the Fralin Life Science Institute, Virginia Polytechnic and State University, Blacksburg, VA, 24061, USA
| | - Dmitry A Karagodin
- Laboratory of Evolutionary Genomics of Insects, The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russia
| | - Jeremy Jenrette
- Department of Entomology and the Fralin Life Science Institute, Virginia Polytechnic and State University, Blacksburg, VA, 24061, USA
| | - Stephanie Gamez
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093-0349, USA
| | - Pascal Miesen
- Department of Medical Microbiology, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, 20894, MD, USA
| | - Adalgisa Caccone
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, 06511-8934, USA
| | - Maria V Sharakhova
- Department of Entomology and the Fralin Life Science Institute, Virginia Polytechnic and State University, Blacksburg, VA, 24061, USA
- Laboratory of Evolutionary Genomics of Insects, The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russia
- Laboratory of Ecology, Genetics and Environment Protection, Tomsk State University, Tomsk, 634041, Russia
| | - Zhijian Tu
- Department of Entomology and the Fralin Life Science Institute, Virginia Polytechnic and State University, Blacksburg, VA, 24061, USA
| | - Philippos A Papathanos
- Department of Entomology, Robert H Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, 7610001, Rehovot, Israel
| | - Ronald P Van Rij
- Department of Medical Microbiology, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Omar S Akbari
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA, 92093-0349, USA
| | - Jeffrey Powell
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, 06511-8934, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, 20892-2152, MD, USA
| | - Mariangela Bonizzoni
- Department of Biology and Biotechnology, University of Pavia, Pavia, 27100, Italy.
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42
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Abstract
MOTIVATION In this era of exponential data growth, minimizer sampling has become a standard algorithmic technique for rapid genome sequence comparison. This technique yields a sub-linear representation of sequences, enabling their comparison in reduced space and time. A key property of the minimizer technique is that if two sequences share a substring of a specified length, then they can be guaranteed to have a matching minimizer. However, because the k-mer distribution in eukaryotic genomes is highly uneven, minimizer-based tools (e.g. Minimap2, Mashmap) opt to discard the most frequently occurring minimizers from the genome to avoid excessive false positives. By doing so, the underlying guarantee is lost and accuracy is reduced in repetitive genomic regions. RESULTS We introduce a novel weighted-minimizer sampling algorithm. A unique feature of the proposed algorithm is that it performs minimizer sampling while considering a weight for each k-mer; i.e. the higher the weight of a k-mer, the more likely it is to be selected. By down-weighting frequently occurring k-mers, we are able to meet both objectives: (i) avoid excessive false-positive matches and (ii) maintain the minimizer match guarantee. We tested our algorithm, Winnowmap, using both simulated and real long-read data and compared it to a state-of-the-art long read mapper, Minimap2. Our results demonstrate a reduction in the mapping error-rate from 0.14% to 0.06% in the recently finished human X chromosome (154.3 Mbp), and from 3.6% to 0% within the highly repetitive X centromere (3.1 Mbp). Winnowmap improves mapping accuracy within repeats and achieves these results with sparser sampling, leading to better index compression and competitive runtimes. AVAILABILITY AND IMPLEMENTATION Winnowmap is built on top of the Minimap2 codebase and is available at https://github.com/marbl/winnowmap.
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Affiliation(s)
- Chirag Jain
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Arang Rhie
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Haowen Zhang
- College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Claudia Chu
- College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Brian P Walenz
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Sergey Koren
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Adam M Phillippy
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
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43
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Dilthey AT, Mentzer AJ, Carapito R, Cutland C, Cereb N, Madhi SA, Rhie A, Koren S, Bahram S, McVean G, Phillippy AM. HLA*LA-HLA typing from linearly projected graph alignments. Bioinformatics 2020; 35:4394-4396. [PMID: 30942877 PMCID: PMC6821427 DOI: 10.1093/bioinformatics/btz235] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 02/26/2019] [Accepted: 04/02/2019] [Indexed: 11/13/2022] Open
Abstract
Summary HLA*LA implements a new graph alignment model for human leukocyte antigen (HLA) type inference, based on the projection of linear alignments onto a variation graph. It enables accurate HLA type inference from whole-genome (99% accuracy) and whole-exome (93% accuracy) Illumina data; from long-read Oxford Nanopore and Pacific Biosciences data (98% accuracy for whole-genome and targeted data) and from genome assemblies. Computational requirements for a typical sample vary between 0.7 and 14 CPU hours per sample. Availability and implementation HLA*LA is implemented in C++ and Perl and freely available as a bioconda package or from https://github.com/DiltheyLab/HLA-LA (GPL v3). Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Alexander T Dilthey
- Institute of Medical Microbiology, University Hospital of Dusseldorf, Dusseldorf, North Rhine-Westphalia, Germany.,Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA.,Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Alexander J Mentzer
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.,Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Raphael Carapito
- Laboratoire d'ImmunoRhumatologie Moléculaire, Plateforme GENOMAX, INSERM UMR_S 1109, LabEx TRANSPLANTEX, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg, France.,Service d'Immunologie Biologique, Nouvel Hôpital Civil, Strasbourg, France
| | - Clare Cutland
- Medical Research Council: Respiratory and Meningeal Pathogens Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Department of Science/National Research Foundation: Vaccine Preventable Diseases, Faculty of Health Science, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Shabir A Madhi
- Medical Research Council: Respiratory and Meningeal Pathogens Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Department of Science/National Research Foundation: Vaccine Preventable Diseases, Faculty of Health Science, University of the Witwatersrand, Johannesburg, South Africa
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Seiamak Bahram
- Laboratoire d'ImmunoRhumatologie Moléculaire, Plateforme GENOMAX, INSERM UMR_S 1109, LabEx TRANSPLANTEX, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Faculté de Médecine, Université de Strasbourg, France.,Service d'Immunologie Biologique, Nouvel Hôpital Civil, Strasbourg, France
| | - Gil McVean
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.,Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
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Low WY, Tearle R, Liu R, Koren S, Rhie A, Bickhart DM, Rosen BD, Kronenberg ZN, Kingan SB, Tseng E, Thibaud-Nissen F, Martin FJ, Billis K, Ghurye J, Hastie AR, Lee J, Pang AWC, Heaton MP, Phillippy AM, Hiendleder S, Smith TPL, Williams JL. Haplotype-resolved genomes provide insights into structural variation and gene content in Angus and Brahman cattle. Nat Commun 2020; 11:2071. [PMID: 32350247 PMCID: PMC7190621 DOI: 10.1038/s41467-020-15848-y] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Accepted: 03/27/2020] [Indexed: 12/30/2022] Open
Abstract
Inbred animals were historically chosen for genome analysis to circumvent assembly issues caused by haplotype variation but this resulted in a composite of the two genomes. Here we report a haplotype-aware scaffolding and polishing pipeline which was used to create haplotype-resolved, chromosome-level genome assemblies of Angus (taurine) and Brahman (indicine) cattle subspecies from contigs generated by the trio binning method. These assemblies reveal structural and copy number variants that differentiate the subspecies and that variant detection is sensitive to the specific reference genome chosen. Six genes with immune related functions have additional copies in the indicine compared with taurine lineage and an indicus-specific extra copy of fatty acid desaturase is under positive selection. The haplotyped genomes also enable transcripts to be phased to detect allele-specific expression. This work exemplifies the value of haplotype-resolved genomes to better explore evolutionary and functional variations.
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Affiliation(s)
- Wai Yee Low
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia
| | - Rick Tearle
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia
| | - Ruijie Liu
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | | | - Benjamin D Rosen
- Animal Genomics and Improvement Laboratory, ARS USDA, Beltsville, MD, USA
| | - Zev N Kronenberg
- Phase Genomics, 4000 Mason Road, Suite 225, Seattle, WA, 98195, USA
| | | | | | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, 20894, USA
| | - Fergal J Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Konstantinos Billis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Jay Ghurye
- Center for Bioinformatics and Computational Biology, Lab 3104A, Biomolecular Science Building, University of Maryland, College Park, MD, 20742, USA
| | | | - Joyce Lee
- Bionano Genomics, San Diego, CA, USA
| | | | | | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Stefan Hiendleder
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia.
| | | | - John L Williams
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA, 5371, Australia.
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Rice ES, Koren S, Rhie A, Heaton MP, Kalbfleisch TS, Hardy T, Hackett PH, Bickhart DM, Rosen BD, Ley BV, Maurer NW, Green RE, Phillippy AM, Petersen JL, Smith TPL. Continuous chromosome-scale haplotypes assembled from a single interspecies F1 hybrid of yak and cattle. Gigascience 2020; 9:giaa029. [PMID: 32242610 PMCID: PMC7118895 DOI: 10.1093/gigascience/giaa029] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 01/08/2020] [Accepted: 03/10/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The development of trio binning as an approach for assembling diploid genomes has enabled the creation of fully haplotype-resolved reference genomes. Unlike other methods of assembly for diploid genomes, this approach is enhanced, rather than hindered, by the heterozygosity of the individual sequenced. To maximize heterozygosity and simultaneously assemble reference genomes for 2 species, we applied trio binning to an interspecies F1 hybrid of yak (Bos grunniens) and cattle (Bos taurus), 2 species that diverged nearly 5 million years ago. The genomes of both of these species are composed of acrocentric autosomes. RESULTS We produced the most continuous haplotype-resolved assemblies for a diploid animal yet reported. Both the maternal (yak) and paternal (cattle) assemblies have the largest 2 chromosomes in single haplotigs, and more than one-third of the autosomes similarly lack gaps. The maximum length haplotig produced was 153 Mb without any scaffolding or gap-filling steps and represents the longest haplotig reported for any species. The assemblies are also more complete and accurate than those reported for most other vertebrates, with 97% of mammalian universal single-copy orthologs present. CONCLUSIONS The high heterozygosity inherent to interspecies crosses maximizes the effectiveness of the trio binning method. The interspecies trio binning approach we describe is likely to provide the highest-quality assemblies for any pair of species that can interbreed to produce hybrid offspring that develop to sufficient cell numbers for DNA extraction.
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Affiliation(s)
- Edward S Rice
- Department of Animal Science, University of Nebraska–Lincoln, C203 ANSC, Lincoln, NE 68583, USA
- Bond Life Sciences Center, University of Missouri, 1201 Rollins Street, Columbia, MO 65201, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Michael P Heaton
- US Meat Animal Research Center, US Department of Agriculture, State Spur 18D, Clay Center, NE 68933, USA
| | - Theodore S Kalbfleisch
- Gluck Equine Research Center, University of Kentucky, 1400 Nicholasville Rd., Lexington, KY 40546, USA
| | | | | | - Derek M Bickhart
- Dairy Forage Research Center, 1925 Linden Drive, ARS USDA, Madison, WI 53706, USA
| | - Benjamin D Rosen
- Animal Genomics and Improvement Laboratory, 10300 Baltimore Ave., ARS USDA, Beltsville, MD 20705, USA
| | - Brian Vander Ley
- Great Plains Veterinary Educational Center, School of Veterinary Medicine and Biomedical Sciences, University of Nebraska–Lincoln, 820 Road 313, Clay Center, NE 68933, USA
| | - Nicholas W Maurer
- Department of Biomolecular Engineering, University of California, 1156 High St., Santa Cruz, CA 95064, USA
| | - Richard E Green
- Department of Biomolecular Engineering, University of California, 1156 High St., Santa Cruz, CA 95064, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Jessica L Petersen
- Department of Animal Science, University of Nebraska–Lincoln, C203 ANSC, Lincoln, NE 68583, USA
| | - Timothy P L Smith
- US Meat Animal Research Center, US Department of Agriculture, State Spur 18D, Clay Center, NE 68933, USA
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Rosen BD, Bickhart DM, Schnabel RD, Koren S, Elsik CG, Tseng E, Rowan TN, Low WY, Zimin A, Couldrey C, Hall R, Li W, Rhie A, Ghurye J, McKay SD, Thibaud-Nissen F, Hoffman J, Murdoch BM, Snelling WM, McDaneld TG, Hammond JA, Schwartz JC, Nandolo W, Hagen DE, Dreischer C, Schultheiss SJ, Schroeder SG, Phillippy AM, Cole JB, Van Tassell CP, Liu G, Smith TPL, Medrano JF. De novo assembly of the cattle reference genome with single-molecule sequencing. Gigascience 2020; 9:5810242. [PMID: 32191811 PMCID: PMC7081964 DOI: 10.1093/gigascience/giaa021] [Citation(s) in RCA: 299] [Impact Index Per Article: 74.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 01/31/2020] [Accepted: 02/14/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Major advances in selection progress for cattle have been made following the introduction of genomic tools over the past 10-12 years. These tools depend upon the Bos taurus reference genome (UMD3.1.1), which was created using now-outdated technologies and is hindered by a variety of deficiencies and inaccuracies. RESULTS We present the new reference genome for cattle, ARS-UCD1.2, based on the same animal as the original to facilitate transfer and interpretation of results obtained from the earlier version, but applying a combination of modern technologies in a de novo assembly to increase continuity, accuracy, and completeness. The assembly includes 2.7 Gb and is >250× more continuous than the original assembly, with contig N50 >25 Mb and L50 of 32. We also greatly expanded supporting RNA-based data for annotation that identifies 30,396 total genes (21,039 protein coding). The new reference assembly is accessible in annotated form for public use. CONCLUSIONS We demonstrate that improved continuity of assembled sequence warrants the adoption of ARS-UCD1.2 as the new cattle reference genome and that increased assembly accuracy will benefit future research on this species.
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Affiliation(s)
- Benjamin D Rosen
- USDA-ARS, Beltsville, MD, 20705-2350 , Animal Genomics and Improvement Laboratory, USDA-ARS, 10300 Baltimore Ave, Beltsville, MD 20705-2350, USA
| | - Derek M Bickhart
- Dairy Forage Research Center, USDA-ARS, 1925 Linden Drive, Madison, WI, 53706, USA
| | - Robert D Schnabel
- Division of Animal Sciences, University of Missouri, 162 Animal Science Research Center, Columbia, MO 65211, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Christine G Elsik
- Division of Animal Sciences, University of Missouri, 162 Animal Science Research Center, Columbia, MO 65211, USA
| | - Elizabeth Tseng
- Pacific Biosciences, 1305 O'Brien Drive, Menlo Park, CA 94025, USA
| | - Troy N Rowan
- Division of Animal Sciences, University of Missouri, 162 Animal Science Research Center, Columbia, MO 65211, USA
| | - Wai Y Low
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA 5371, Australia
| | - Aleksey Zimin
- Johns Hopkins University, Welch Library of Medicine, Ste 105, 1900 E. Monument St., Baltimore, MD 21205, USA
| | - Christine Couldrey
- Livestock Improvement Corporation, Private Bag 3016, Hamilton 3240, New Zealand
| | - Richard Hall
- Pacific Biosciences, 1305 O'Brien Drive, Menlo Park, CA 94025, USA
| | - Wenli Li
- Dairy Forage Research Center, USDA-ARS, 1925 Linden Drive, Madison, WI, 53706, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Jay Ghurye
- Department of Computer Science, University of Maryland, 8125 Paint Branch Drive, College Park, MD 20742 USA
| | - Stephanie D McKay
- Department of Animal and Veterinary Sciences, University of Vermont, Burlington, VT 05405, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - Jinna Hoffman
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - Brenda M Murdoch
- Department of Animal and Veterinary Science, University of Idaho, 875 Perimeter Drive MS 2330, Moscow, ID 83844-2330, USA
| | - Warren M Snelling
- U.S. Meat Animal Research Center, USDA-ARS, 844 Road 313, Clay Center, NE 68933, USA
| | - Tara G McDaneld
- U.S. Meat Animal Research Center, USDA-ARS, 844 Road 313, Clay Center, NE 68933, USA
| | | | | | - Wilson Nandolo
- Division of Livestock Sciences, University of Natural Resources and Life Sciences, Gregor Mendel str. 33, A-1180, Vienna, Austria.,Animal Science Department, Lilongwe University of Agriculture and Natural Resources, P.O. Box 219, Lilongwe, Malawi
| | - Darren E Hagen
- Department of Animal and Food Sciences, Oklahoma State University, 101 Animal Science Building, Stillwater, OK 74078, USA
| | | | | | - Steven G Schroeder
- USDA-ARS, Beltsville, MD, 20705-2350 , Animal Genomics and Improvement Laboratory, USDA-ARS, 10300 Baltimore Ave, Beltsville, MD 20705-2350, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - John B Cole
- USDA-ARS, Beltsville, MD, 20705-2350 , Animal Genomics and Improvement Laboratory, USDA-ARS, 10300 Baltimore Ave, Beltsville, MD 20705-2350, USA
| | - Curtis P Van Tassell
- USDA-ARS, Beltsville, MD, 20705-2350 , Animal Genomics and Improvement Laboratory, USDA-ARS, 10300 Baltimore Ave, Beltsville, MD 20705-2350, USA
| | - George Liu
- USDA-ARS, Beltsville, MD, 20705-2350 , Animal Genomics and Improvement Laboratory, USDA-ARS, 10300 Baltimore Ave, Beltsville, MD 20705-2350, USA
| | - Timothy P L Smith
- U.S. Meat Animal Research Center, USDA-ARS, 844 Road 313, Clay Center, NE 68933, USA
| | - Juan F Medrano
- Department of Animal Science, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA
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47
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Liu R, Low WY, Tearle R, Koren S, Ghurye J, Rhie A, Phillippy AM, Rosen BD, Bickhart DM, Smith TPL, Hiendleder S, Williams JL. New insights into mammalian sex chromosome structure and evolution using high-quality sequences from bovine X and Y chromosomes. BMC Genomics 2019; 20:1000. [PMID: 31856728 PMCID: PMC6923926 DOI: 10.1186/s12864-019-6364-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 12/02/2019] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Mammalian X chromosomes are mainly euchromatic with a similar size and structure among species whereas Y chromosomes are smaller, have undergone substantial evolutionary changes and accumulated male specific genes and genes involved in sex determination. The pseudoautosomal region (PAR) is conserved on the X and Y and pair during meiosis. The structure, evolution and function of mammalian sex chromosomes, particularly the Y chromsome, is still poorly understood because few species have high quality sex chromosome assemblies. RESULTS Here we report the first bovine sex chromosome assemblies that include the complete PAR spanning 6.84 Mb and three Y chromosome X-degenerate (X-d) regions. The PAR comprises 31 genes, including genes that are missing from the X chromosome in current cattle, sheep and goat reference genomes. Twenty-nine PAR genes are single-copy genes and two are multi-copy gene families, OBP, which has 3 copies and BDA20, which has 4 copies. The Y chromosome X-d1, 2a and 2b regions contain 11, 2 and 2 gametologs, respectively. CONCLUSIONS The ruminant PAR comprises 31 genes and is similar to the PAR of pig and dog but extends further than those of human and horse. Differences in the pseudoautosomal boundaries are consistent with evolutionary divergence times. A bovidae-specific expansion of members of the lipocalin gene family in the PAR reported here, may affect immune-modulation and anti-inflammatory responses in ruminants. Comparison of the X-d regions of Y chromosomes across species revealed that five of the X-Y gametologs, which are known to be global regulators of gene activity and candidate sexual dimorphism genes, are conserved.
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Affiliation(s)
- Ruijie Liu
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, South Australia, Australia
| | - Wai Yee Low
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, South Australia, Australia
| | - Rick Tearle
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, South Australia, Australia
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Jay Ghurye
- Center for Bioinformatics and Computational Biology, Lab 3104A, Biomolecular Science Building, University of Maryland, College Park, MD, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Benjamin D Rosen
- Animal Genomics and Improvement Laboratory, ARS USDA, Beltsville, MD, USA
| | - Derek M Bickhart
- Cell Wall Biology and Utilization Laboratory, ARS USDA, Madison, WI, USA
| | | | - Stefan Hiendleder
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, South Australia, Australia
| | - John L Williams
- The Davies Research Centre, School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, South Australia, Australia.
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48
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Rhie A, Son HY, Kwak SJ, Lee S, Kim DY, Lew BL, Sim WY, Seo JS, Kwon O, Kim JI, Jo SJ. Genetic variations associated with response to dutasteride in the treatment of male subjects with androgenetic alopecia. PLoS One 2019; 14:e0222533. [PMID: 31525235 PMCID: PMC6746394 DOI: 10.1371/journal.pone.0222533] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 08/31/2019] [Indexed: 12/30/2022] Open
Abstract
Dutasteride, a dual inhibitor of both type I and II 5α-reductases, is used to treat male pattern hair loss (MPHL). However, patient response to dutasteride varies in each individual, the cause of which is yet to be identified. To identify genetic variants associated with response to dutasteride treatment for MPHL, a total of 42 men with moderate MPHL who had been treated with dutasteride for 6 months were genotyped and analysed by quantitative linear regression, case-control association tests, and Fisher’s exact test. The synonymous single nucleotide polymorphism (SNP) rs72623193 in DHRS9 was most significantly associated with response to dutasteride, followed by the non-synonymous SNP rs2241057 in CYP26B1. Additionally, variants in ESR1, SRD5A1, CYP19A1, and RXRG are suggested to be associated with response to dutasteride. Cumulative effect and interaction among these SNPs were presented in both additive and non-additive models.
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Affiliation(s)
- Arang Rhie
- Genomic Medicine Institute (GMI), Medical Research Center, Seoul National University, Seoul, Korea
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Ho-Young Son
- Genomic Medicine Institute (GMI), Medical Research Center, Seoul National University, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Korea
| | - Soo Jung Kwak
- Genomic Medicine Institute (GMI), Medical Research Center, Seoul National University, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Korea
| | - Seungbok Lee
- Genomic Medicine Institute (GMI), Medical Research Center, Seoul National University, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Korea
| | - Dong Young Kim
- Department of Dermatology, Seoul National University College of Medicine, Seoul, Korea
- Laboratory of Cutaneous Aging and Hair Research, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
- Institute of Human-Environmental Interface Biology, Medical Research Center, Seoul National University College of Medicine, Seoul, Korea
| | - Bark-Lynn Lew
- Department of Dermatology, College of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Woo-Young Sim
- Department of Dermatology, College of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Jeong-Sun Seo
- Genomic Medicine Institute (GMI), Medical Research Center, Seoul National University, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Korea
| | - Ohsang Kwon
- Department of Dermatology, Seoul National University College of Medicine, Seoul, Korea
- Laboratory of Cutaneous Aging and Hair Research, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
- Institute of Human-Environmental Interface Biology, Medical Research Center, Seoul National University College of Medicine, Seoul, Korea
| | - Jong-Il Kim
- Genomic Medicine Institute (GMI), Medical Research Center, Seoul National University, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Department of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul, Korea
| | - Seong Jin Jo
- Department of Dermatology, Seoul National University College of Medicine, Seoul, Korea
- Laboratory of Cutaneous Aging and Hair Research, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
- Institute of Human-Environmental Interface Biology, Medical Research Center, Seoul National University College of Medicine, Seoul, Korea
- * E-mail:
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Ghurye J, Rhie A, Walenz BP, Schmitt A, Selvaraj S, Pop M, Phillippy AM, Koren S. Integrating Hi-C links with assembly graphs for chromosome-scale assembly. PLoS Comput Biol 2019; 15:e1007273. [PMID: 31433799 PMCID: PMC6719893 DOI: 10.1371/journal.pcbi.1007273] [Citation(s) in RCA: 368] [Impact Index Per Article: 73.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 09/03/2019] [Accepted: 07/18/2019] [Indexed: 12/16/2022] Open
Abstract
Long-read sequencing and novel long-range assays have revolutionized de novo genome assembly by automating the reconstruction of reference-quality genomes. In particular, Hi-C sequencing is becoming an economical method for generating chromosome-scale scaffolds. Despite its increasing popularity, there are limited open-source tools available. Errors, particularly inversions and fusions across chromosomes, remain higher than alternate scaffolding technologies. We present a novel open-source Hi-C scaffolder that does not require an a priori estimate of chromosome number and minimizes errors by scaffolding with the assistance of an assembly graph. We demonstrate higher accuracy than the state-of-the-art methods across a variety of Hi-C library preparations and input assembly sizes. The Python and C++ code for our method is openly available at https://github.com/machinegun/SALSA. Hi-C technology was originally proposed to study the 3D organization of a genome. Recently, it has also been applied to assemble large eukaryotic genomes into chromosome-scale scaffolds. Despite this, there are few open source methods to generate these assemblies. Existing methods are also prone to small inversion errors due to noise in the Hi-C data. In this work, we address these challenges and develop a method, named SALSA2. SALSA2 uses sequence overlap information from an assembly graph to correct inversion errors and provide accurate chromosome-scale assemblies.
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Affiliation(s)
- Jay Ghurye
- Department of Computer Science, University of Maryland, College Park, Maryland, United States of America
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institute of Health, Bethesda, Maryland, United States of America
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institute of Health, Bethesda, Maryland, United States of America
| | - Brian P. Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institute of Health, Bethesda, Maryland, United States of America
| | - Anthony Schmitt
- Arima Genomics, San Diego, California, United States of America
| | | | - Mihai Pop
- Department of Computer Science, University of Maryland, College Park, Maryland, United States of America
| | - Adam M. Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institute of Health, Bethesda, Maryland, United States of America
- * E-mail: (AMP); (SK)
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institute of Health, Bethesda, Maryland, United States of America
- * E-mail: (AMP); (SK)
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50
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Koren S, Rhie A, Walenz BP, Dilthey AT, Bickhart DM, Kingan SB, Hiendleder S, Williams JL, Smith TPL, Phillippy AM. De novo assembly of haplotype-resolved genomes with trio binning. Nat Biotechnol 2018; 36:nbt.4277. [PMID: 30346939 PMCID: PMC6476705 DOI: 10.1038/nbt.4277] [Citation(s) in RCA: 239] [Impact Index Per Article: 39.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2018] [Accepted: 09/10/2018] [Indexed: 12/20/2022]
Abstract
Complex allelic variation hampers the assembly of haplotype-resolved sequences from diploid genomes. We developed trio binning, an approach that simplifies haplotype assembly by resolving allelic variation before assembly. In contrast with prior approaches, the effectiveness of our method improved with increasing heterozygosity. Trio binning uses short reads from two parental genomes to first partition long reads from an offspring into haplotype-specific sets. Each haplotype is then assembled independently, resulting in a complete diploid reconstruction. We used trio binning to recover both haplotypes of a diploid human genome and identified complex structural variants missed by alternative approaches. We sequenced an F1 cross between the cattle subspecies Bos taurus taurus and Bos taurus indicus and completely assembled both parental haplotypes with NG50 haplotig sizes of >20 Mb and 99.998% accuracy, surpassing the quality of current cattle reference genomes. We suggest that trio binning improves diploid genome assembly and will facilitate new studies of haplotype variation and inheritance.
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Affiliation(s)
- Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Brian P. Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
| | - Alexander T. Dilthey
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
- Institute of Medical Microbiology, Heinrich-Heine-University Düsseldorf, Düsseldorf, North Rhine-Westphalia, Germany
| | - Derek M. Bickhart
- Cell Wall Biology and Utilization Laboratory, ARS USDA, Madison, Wisconsin, USA
| | | | - Stefan Hiendleder
- Davies Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy SA, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide SA, Australia
| | - John L. Williams
- Davies Research Centre, School of Animal and Veterinary Sciences, The University of Adelaide, Roseworthy SA, Australia
| | | | - Adam M. Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, Maryland, USA
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