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Yoo D, Rhie A, Hebbar P, Antonacci F, Logsdon GA, Solar SJ, Antipov D, Pickett BD, Safonova Y, Montinaro F, Luo Y, Malukiewicz J, Storer JM, Lin J, Sequeira AN, Mangan RJ, Hickey G, Monfort Anez G, Balachandran P, Bankevich A, Beck CR, Biddanda A, Borchers M, Bouffard GG, Brannan E, Brooks SY, Carbone L, Carrel L, Chan AP, Crawford J, Diekhans M, Engelbrecht E, Feschotte C, Formenti G, Garcia GH, de Gennaro L, Gilbert D, Green RE, Guarracino A, Gupta I, Haddad D, Han J, Harris RS, Hartley GA, Harvey WT, Hiller M, Hoekzema K, Houck ML, Jeong H, Kamali K, Kellis M, Kille B, Lee C, Lee Y, Lees W, Lewis AP, Li Q, Loftus M, Loh YHE, Loucks H, Ma J, Mao Y, Martinez JFI, Masterson P, McCoy RC, McGrath B, McKinney S, Meyer BS, Miga KH, Mohanty SK, Munson KM, Pal K, Pennell M, Pevzner PA, Porubsky D, Potapova T, Ringeling FR, Rocha JL, Ryder OA, Sacco S, Saha S, Sasaki T, Schatz MC, Schork NJ, Shanks C, Smeds L, Son DR, Steiner C, Sweeten AP, Tassia MG, Thibaud-Nissen F, Torres-González E, Trivedi M, Wei W, Wertz J, Yang M, Zhang P, Zhang S, Zhang Y, Zhang Z, et alYoo D, Rhie A, Hebbar P, Antonacci F, Logsdon GA, Solar SJ, Antipov D, Pickett BD, Safonova Y, Montinaro F, Luo Y, Malukiewicz J, Storer JM, Lin J, Sequeira AN, Mangan RJ, Hickey G, Monfort Anez G, Balachandran P, Bankevich A, Beck CR, Biddanda A, Borchers M, Bouffard GG, Brannan E, Brooks SY, Carbone L, Carrel L, Chan AP, Crawford J, Diekhans M, Engelbrecht E, Feschotte C, Formenti G, Garcia GH, de Gennaro L, Gilbert D, Green RE, Guarracino A, Gupta I, Haddad D, Han J, Harris RS, Hartley GA, Harvey WT, Hiller M, Hoekzema K, Houck ML, Jeong H, Kamali K, Kellis M, Kille B, Lee C, Lee Y, Lees W, Lewis AP, Li Q, Loftus M, Loh YHE, Loucks H, Ma J, Mao Y, Martinez JFI, Masterson P, McCoy RC, McGrath B, McKinney S, Meyer BS, Miga KH, Mohanty SK, Munson KM, Pal K, Pennell M, Pevzner PA, Porubsky D, Potapova T, Ringeling FR, Rocha JL, Ryder OA, Sacco S, Saha S, Sasaki T, Schatz MC, Schork NJ, Shanks C, Smeds L, Son DR, Steiner C, Sweeten AP, Tassia MG, Thibaud-Nissen F, Torres-González E, Trivedi M, Wei W, Wertz J, Yang M, Zhang P, Zhang S, Zhang Y, Zhang Z, Zhao SA, Zhu Y, Jarvis ED, Gerton JL, Rivas-González I, Paten B, Szpiech ZA, Huber CD, Lenz TL, Konkel MK, Yi SV, Canzar S, Watson CT, Sudmant PH, Molloy E, Garrison E, Lowe CB, Ventura M, O'Neill RJ, Koren S, Makova KD, Phillippy AM, Eichler EE. Complete sequencing of ape genomes. Nature 2025:10.1038/s41586-025-08816-3. [PMID: 40205052 DOI: 10.1038/s41586-025-08816-3] [Show More Authors] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Accepted: 02/19/2025] [Indexed: 04/11/2025]
Abstract
The most dynamic and repetitive regions of great ape genomes have traditionally been excluded from comparative studies1-3. Consequently, our understanding of the evolution of our species is incomplete. Here we present haplotype-resolved reference genomes and comparative analyses of six ape species: chimpanzee, bonobo, gorilla, Bornean orangutan, Sumatran orangutan and siamang. We achieve chromosome-level contiguity with substantial sequence accuracy (<1 error in 2.7 megabases) and completely sequence 215 gapless chromosomes telomere-to-telomere. We resolve challenging regions, such as the major histocompatibility complex and immunoglobulin loci, to provide in-depth evolutionary insights. Comparative analyses enabled investigations of the evolution and diversity of regions previously uncharacterized or incompletely studied without bias from mapping to the human reference genome. Such regions include newly minted gene families in lineage-specific segmental duplications, centromeric DNA, acrocentric chromosomes and subterminal heterochromatin. This resource serves as a comprehensive baseline for future evolutionary studies of humans and our closest living ape relatives.
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Affiliation(s)
- DongAhn Yoo
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 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
| | - Prajna Hebbar
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Francesca Antonacci
- Department of Biosciences, Biotechnology and Environment, University of Bari, Bari, Italy
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Department of Genetics, Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Steven J Solar
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Dmitry Antipov
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Brandon D Pickett
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yana Safonova
- Computer Science and Engineering Department, Huck Institutes of Life Sciences, Pennsylvania State University, State College, PA, USA
| | - Francesco Montinaro
- Department of Biosciences, Biotechnology and Environment, University of Bari, Bari, Italy
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Yanting Luo
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC, USA
| | - Joanna Malukiewicz
- Research Unit for Evolutionary Immunogenomics, Department of Biology, University of Hamburg, Hamburg, Germany
- German Primate Center, Primate Genetics Laboratory, Goettingen, Germany
| | - Jessica M Storer
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
| | - Jiadong Lin
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Riley J Mangan
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Genetics Training Program, Harvard Medical School, Boston, MA, USA
| | - Glenn Hickey
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | | | | | - Anton Bankevich
- Computer Science and Engineering Department, Huck Institutes of Life Sciences, Pennsylvania State University, State College, PA, USA
| | - Christine R Beck
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
- Department of Genetics and Genome Sciences, University of Connecticut Health Center, Farmington, CT, USA
| | - Arjun Biddanda
- Department of Biology, 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
| | - Emry Brannan
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Shelise Y Brooks
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lucia Carbone
- Department of Medicine, KCVI, Oregon Health Sciences University, Portland, OR, USA
- Division of Genetics, Oregon National Primate Research Center, Beaverton, OR, USA
| | - Laura Carrel
- PSU Medical School, Penn State University School of Medicine, Hershey, PA, USA
| | - Agnes P Chan
- The Translational Genomics Research Institute, City of Hope National Medical Center, Phoenix, AZ, USA
| | - Juyun Crawford
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Eric Engelbrecht
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, Louisville, KY, USA
| | - Cedric Feschotte
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Gage H Garcia
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Luciana de Gennaro
- Department of Biosciences, Biotechnology and Environment, University of Bari, Bari, Italy
| | - David Gilbert
- San Diego Biomedical Research Institute, San Diego, CA, USA
| | - Richard E Green
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Andrea Guarracino
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Ishaan Gupta
- Department of Computer Science and Engineering, University of California, San Diego, San Diego, CA, USA
| | - Diana Haddad
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Junmin Han
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Robert S Harris
- Department of Biology, Penn State University, University Park, PA, USA
| | | | - William T Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Michael Hiller
- LOEWE Centre for Translational Biodiversity Genomics, Frankfurt, Germany
- Senckenberg Research Institute, Frankfurt, Germany
- Institute of Cell Biology and Neuroscience, Faculty of Biosciences, Goethe University Frankfurt, Frankfurt, Germany
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Hyeonsoo Jeong
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Kaivan Kamali
- Department of Biology, Penn State University, University Park, PA, USA
| | - Manolis Kellis
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Bryce Kille
- Department of Computer Science, Rice University, Houston, TX, USA
| | - Chul Lee
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - Youngho Lee
- Laboratory of Bioinformatics and Population Genetics, Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - William Lees
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, Louisville, KY, USA
- Bioengineering Program, Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel
| | - Alexandra P Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Qiuhui Li
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Mark Loftus
- Department of Genetics and Biochemistry, Clemson University, Clemson, SC, USA
- Center for Human Genetics, Clemson University, Greenwood, SC, USA
| | - Yong Hwee Eddie Loh
- Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, CA, USA
| | - Hailey Loucks
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Jian Ma
- Ray and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Yafei Mao
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
- Center for Genomic Research, International Institutes of Medicine, Fourth Affiliated Hospital, Zhejiang University, Yiwu, China
- Shanghai Jiao Tong University Chongqing Research Institute, Chongqing, China
| | - Juan F I Martinez
- Computer Science and Engineering Department, Huck Institutes of Life Sciences, Pennsylvania State University, State College, PA, USA
| | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Rajiv C McCoy
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Barbara McGrath
- Department of Biology, Penn State University, University Park, PA, USA
| | - Sean McKinney
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - Britta S Meyer
- Research Unit for Evolutionary Immunogenomics, Department of Biology, University of Hamburg, Hamburg, Germany
| | - Karen H Miga
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Saswat K Mohanty
- Department of Biology, Penn State University, University Park, PA, USA
| | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Karol Pal
- Department of Biology, Penn State University, University Park, PA, USA
| | - Matt Pennell
- Department of Computational Biology, Cornell University, Ithaca, NY, 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
| | - Francisca R Ringeling
- Faculty of Informatics and Data Science, University of Regensburg, Regensburg, Germany
| | - Joana L Rocha
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA
| | | | - Samuel Sacco
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Swati Saha
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, Louisville, KY, USA
| | - Takayo Sasaki
- San Diego Biomedical Research Institute, San Diego, CA, USA
| | - Michael C Schatz
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Nicholas J Schork
- The Translational Genomics Research Institute, City of Hope National Medical Center, Phoenix, AZ, USA
| | - Cole Shanks
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Linnéa Smeds
- Department of Biology, Penn State University, University Park, PA, USA
| | - Dongmin R Son
- Department of Ecology, Evolution and Marine Biology, Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, CA, USA
| | | | - Alexander P Sweeten
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Michael G Tassia
- Department of Biology, 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
| | | | - Mihir Trivedi
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Wenjie Wei
- School of Life Sciences, Westlake University, Hangzhou, China
- National Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Julie Wertz
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Muyu Yang
- Ray and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Panpan Zhang
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, USA
| | - Shilong Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Yang Zhang
- Ray and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Zhenmiao Zhang
- Department of Computer Science and Engineering, University of California, San Diego, San Diego, CA, USA
| | - Sarah A Zhao
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Yixin Zhu
- Department of Computational Biology, Cornell University, Ithaca, NY, USA
| | - Erich D Jarvis
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | | | - Iker Rivas-González
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Zachary A Szpiech
- Department of Biology, Penn State University, University Park, PA, USA
| | - Christian D Huber
- Department of Biology, Penn State University, University Park, PA, USA
| | - Tobias L Lenz
- Research Unit for Evolutionary Immunogenomics, Department of Biology, University of Hamburg, Hamburg, Germany
| | - Miriam K Konkel
- Department of Genetics and Biochemistry, Clemson University, Clemson, SC, USA
- Center for Human Genetics, Clemson University, Greenwood, SC, USA
| | - Soojin V Yi
- Department of Ecology, Evolution and Marine Biology, Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, CA, USA
- Department of Molecular, Cellular and Developmental Biology, Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, CA, USA
| | - Stefan Canzar
- Faculty of Informatics and Data Science, University of Regensburg, Regensburg, Germany
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, Louisville, KY, USA
| | - Peter H Sudmant
- Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Erin Molloy
- Department of Computer Science, University of Maryland, College Park, MD, USA
| | - Erik Garrison
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Craig B Lowe
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC, USA
| | - Mario Ventura
- Department of Biosciences, Biotechnology and Environment, University of Bari, Bari, Italy
| | - Rachel J O'Neill
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- Department of Genetics and Genome Sciences, University of Connecticut Health Center, Farmington, CT, USA
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Sergey Koren
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kateryna D Makova
- Department of Biology, Penn State University, University Park, PA, 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.
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
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Jeong H, Mendizabal I, Yi SV. Human brain aging is associated with dysregulation of cell type epigenetic identity. GeroScience 2024:10.1007/s11357-024-01450-3. [PMID: 39730969 DOI: 10.1007/s11357-024-01450-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2024] [Accepted: 11/18/2024] [Indexed: 12/29/2024] Open
Abstract
Significant links between aging and DNA methylation are emerging from recent studies. On the one hand, DNA methylation undergoes changes with age, a process termed as epigenetic drift. On the other hand, DNA methylation serves as a readily accessible and accurate biomarker for aging. A key missing piece of information, however, is the molecular mechanisms underlying these processes and how they are related, if any. Addressing the limitations of previous research due to the limited number of investigated CpGs and the heterogeneous nature of tissue samples, here, we have examined DNA methylation of over 20 million CpGs across a broad age span in neurons and non-neuronal cells, primarily oligodendrocytes. We show that aging is a primary predictor of DNA methylation variation, surpassing the influence of factors such as sex and schizophrenia diagnosis, among others. On the genome-wide scale, epigenetic drift manifests as significant yet subtle trends that are influenced by the methylation level of individual CpGs. We reveal that CpGs that are highly differentiated between cell types are especially prone to age-associated DNA methylation alterations, leading to the divergence of epigenetic cell type identities as individuals age. On the other hand, CpGs that are included in commonly used epigenetic clocks tend to be those sites that are not highly cell type differentiated. Therefore, dysregulation of epigenetic cell type identities and current DNA epigenetic clocks represent distinct features of age-associated DNA methylation alterations.
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Affiliation(s)
- Hyeonsoo Jeong
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- Current Address: Altos Labs, San Diego, CA, USA
| | - Isabel Mendizabal
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park, Building 801A, 48160, Derio, Spain
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
- Translational Prostate Cancer Research Lab, CIC bioGUNE-Basurto, Biocruces Bizkaia Health Research Institute, Derio, Spain
| | - Soojin V Yi
- Department of Ecology, Evolution, and Marine Biology, Department of Molecular, Cellular, and Cell Biology, Neuroscience Research Institute, University of California, Santa Barbara, CA, 93106, USA.
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3
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Son DR, Kong Y, Tan Y, Hu T, Shi L, Yi SV. Whole-genome DNA methylomes of tree shrew brains reveal conserved and divergent roles of DNA methylation on sex chromosome regulation. BMC Biol 2024; 22:277. [PMID: 39609804 PMCID: PMC11603898 DOI: 10.1186/s12915-024-02071-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Accepted: 11/13/2024] [Indexed: 11/30/2024] Open
Abstract
BACKGROUND The tree shrew (Tupaia belangeri) is a promising emerging model organism in biomedical studies, notably due to their evolutionary proximity to primates. To enhance our understanding of how DNA methylation is implicated in regulation of gene expression and the X chromosome inactivation (XCI) in tree shrew brains, here we present their first genome-wide, single-base-resolution methylomes integrated with transcriptomes from prefrontal cortices. RESULTS Genome-wide relationships between DNA methylation and gene expression are consistent with those in other mammals. Interestingly, we observed a clear and significant global reduction (hypomethylation) of DNA methylation across the entire female X chromosome compared to male X. Female hypomethylation does not directly contribute to the gene silencing of the inactivated X chromosome nor does it significantly drive sex-specific gene expression in tree shrews. However, we identified a putative regulatory region in the 5' end of the X-inactive-specific transcript (Xist) gene, whose pattern of differential DNA methylation strongly relate to its sex-differential expression in tree shrews. Furthermore, differential methylation of this region is conserved across different species. We also provide evidence suggesting that the observed difference between human and tree shrew X-linked promoter methylation is associated with the difference in genomic CpG contents. CONCLUSIONS Our study offers novel information on genomic DNA methylation of tree shrews as well as insights into the evolution of sex chromosome regulation in mammals. Specifically, we show conserved role of DNA methylation in regulation of Xist expression and propose genomic CpG contents as a factor in driving sex-differential DNA methylation of X-linked promoters.
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Affiliation(s)
- Dongmin R Son
- Department of Ecology, Evolution and Marine Biology, University of California Santa Barbara, Santa Barbara, USA
- Department of Molecular, Cellular and Developmental Biology, Neuroscience Research Institute, University of California Santa Barbara, Santa Barbara, USA
| | - Yifan Kong
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650107, People's Republic of China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, 650201, People's Republic of China
| | - Yulian Tan
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650107, People's Republic of China
| | - Ting Hu
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650107, People's Republic of China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, 650201, People's Republic of China
| | - Lei Shi
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China.
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China.
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650107, People's Republic of China.
| | - Soojin V Yi
- Department of Ecology, Evolution and Marine Biology, University of California Santa Barbara, Santa Barbara, USA.
- Department of Molecular, Cellular and Developmental Biology, Neuroscience Research Institute, University of California Santa Barbara, Santa Barbara, USA.
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Yoo D, Rhie A, Hebbar P, Antonacci F, Logsdon GA, Solar SJ, Antipov D, Pickett BD, Safonova Y, Montinaro F, Luo Y, Malukiewicz J, Storer JM, Lin J, Sequeira AN, Mangan RJ, Hickey G, Anez GM, Balachandran P, Bankevich A, Beck CR, Biddanda A, Borchers M, Bouffard GG, Brannan E, Brooks SY, Carbone L, Carrel L, Chan AP, Crawford J, Diekhans M, Engelbrecht E, Feschotte C, Formenti G, Garcia GH, de Gennaro L, Gilbert D, Green RE, Guarracino A, Gupta I, Haddad D, Han J, Harris RS, Hartley GA, Harvey WT, Hiller M, Hoekzema K, Houck ML, Jeong H, Kamali K, Kellis M, Kille B, Lee C, Lee Y, Lees W, Lewis AP, Li Q, Loftus M, Loh YHE, Loucks H, Ma J, Mao Y, Martinez JFI, Masterson P, McCoy RC, McGrath B, McKinney S, Meyer BS, Miga KH, Mohanty SK, Munson KM, Pal K, Pennell M, Pevzner PA, Porubsky D, Potapova T, Ringeling FR, Roha JL, Ryder OA, Sacco S, Saha S, Sasaki T, Schatz MC, Schork NJ, Shanks C, Smeds L, Son DR, Steiner C, Sweeten AP, Tassia MG, Thibaud-Nissen F, Torres-González E, Trivedi M, Wei W, Wertz J, Yang M, Zhang P, Zhang S, Zhang Y, Zhang Z, et alYoo D, Rhie A, Hebbar P, Antonacci F, Logsdon GA, Solar SJ, Antipov D, Pickett BD, Safonova Y, Montinaro F, Luo Y, Malukiewicz J, Storer JM, Lin J, Sequeira AN, Mangan RJ, Hickey G, Anez GM, Balachandran P, Bankevich A, Beck CR, Biddanda A, Borchers M, Bouffard GG, Brannan E, Brooks SY, Carbone L, Carrel L, Chan AP, Crawford J, Diekhans M, Engelbrecht E, Feschotte C, Formenti G, Garcia GH, de Gennaro L, Gilbert D, Green RE, Guarracino A, Gupta I, Haddad D, Han J, Harris RS, Hartley GA, Harvey WT, Hiller M, Hoekzema K, Houck ML, Jeong H, Kamali K, Kellis M, Kille B, Lee C, Lee Y, Lees W, Lewis AP, Li Q, Loftus M, Loh YHE, Loucks H, Ma J, Mao Y, Martinez JFI, Masterson P, McCoy RC, McGrath B, McKinney S, Meyer BS, Miga KH, Mohanty SK, Munson KM, Pal K, Pennell M, Pevzner PA, Porubsky D, Potapova T, Ringeling FR, Roha JL, Ryder OA, Sacco S, Saha S, Sasaki T, Schatz MC, Schork NJ, Shanks C, Smeds L, Son DR, Steiner C, Sweeten AP, Tassia MG, Thibaud-Nissen F, Torres-González E, Trivedi M, Wei W, Wertz J, Yang M, Zhang P, Zhang S, Zhang Y, Zhang Z, Zhao SA, Zhu Y, Jarvis ED, Gerton JL, Rivas-González I, Paten B, Szpiech ZA, Huber CD, Lenz TL, Konkel MK, Yi SV, Canzar S, Watson CT, Sudmant PH, Molloy E, Garrison E, Lowe CB, Ventura M, O’Neill RJ, Koren S, Makova KD, Phillippy AM, Eichler EE. Complete sequencing of ape genomes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.31.605654. [PMID: 39131277 PMCID: PMC11312596 DOI: 10.1101/2024.07.31.605654] [Show More Authors] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
We present haplotype-resolved reference genomes and comparative analyses of six ape species, namely: chimpanzee, bonobo, gorilla, Bornean orangutan, Sumatran orangutan, and siamang. We achieve chromosome-level contiguity with unparalleled sequence accuracy (<1 error in 500,000 base pairs), completely sequencing 215 gapless chromosomes telomere-to-telomere. We resolve challenging regions, such as the major histocompatibility complex and immunoglobulin loci, providing more in-depth evolutionary insights. Comparative analyses, including human, allow us to investigate the evolution and diversity of regions previously uncharacterized or incompletely studied without bias from mapping to the human reference. This includes newly minted gene families within lineage-specific segmental duplications, centromeric DNA, acrocentric chromosomes, and subterminal heterochromatin. This resource should serve as a definitive baseline for all future evolutionary studies of humans and our closest living ape relatives.
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Affiliation(s)
- DongAhn Yoo
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Arang Rhie
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Prajna Hebbar
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95060, USA
| | - Francesca Antonacci
- Department of Biosciences, Biotechnology and Environment, University of Bari, Bari, 70124, Italy
| | - Glennis A. Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Department of Genetics, Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19103, USA
| | - Steven J. Solar
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Dmitry Antipov
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Brandon D. Pickett
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Yana Safonova
- Computer Science and Engineering Department, Huck Institutes of Life Sciences, Pennsylvania State University, State College, PA 16801, USA
| | - Francesco Montinaro
- Department of Biosciences, Biotechnology and Environment, University of Bari, Bari, 70124, Italy
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Yanting Luo
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710, USA
| | - Joanna Malukiewicz
- Research Unit for Evolutionary Immunogenomics, Department of Biology, University of Hamburg, 20146 Hamburg, Germany
| | - Jessica M. Storer
- Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269, USA
| | - Jiadong Lin
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Abigail N. Sequeira
- Department of Biology, Penn State University, University Park, PA 16802, USA
| | - Riley J. Mangan
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Genetics Training Program, Harvard Medical School, Boston, MA 02115, USA
| | - Glenn Hickey
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95060, USA
| | | | | | - Anton Bankevich
- Computer Science and Engineering Department, Huck Institutes of Life Sciences, Pennsylvania State University, State College, PA 16801, USA
| | - Christine R. Beck
- Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269, USA
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
- Department of Genetics and Genome Sciences, University of Connecticut Health Center, Farmington, CT, USA
| | - Arjun Biddanda
- Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Matthew Borchers
- Stowers Institute for Medical Research, Kansas City, MO 64110, USA
| | - Gerard G. Bouffard
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Emry Brannan
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Shelise Y. Brooks
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Lucia Carbone
- Department of Medicine, KCVI, Oregon Health Sciences University, Portland, OR, USA
- Division of Genetics, Oregon National Primate Research Center, Beaverton, OR, USA
| | - Laura Carrel
- PSU Medical School, Penn State University School of Medicine, Hershey, PA, USA
| | - Agnes P. Chan
- The Translational Genomics Research Institute, a part of the City of Hope National Medical Center, Phoenix, AZ, USA
| | - Juyun Crawford
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95060, USA
| | - Eric Engelbrecht
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, Louisville, KY, USA
| | - Cedric Feschotte
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY 10021, USA
| | - Gage H. Garcia
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Luciana de Gennaro
- Department of Biosciences, Biotechnology and Environment, University of Bari, Bari, 70124, Italy
| | - David Gilbert
- San Diego Biomedical Research Institute, San Diego, CA, USA
| | | | - Andrea Guarracino
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Ishaan Gupta
- Department of Computer Science and Engineering, University of California San Diego, CA, USA
| | - Diana Haddad
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - Junmin Han
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Robert S. Harris
- Department of Biology, Penn State University, University Park, PA 16802, USA
| | - Gabrielle A. Hartley
- Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269, USA
| | - William T. Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Michael Hiller
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberg Research Institute, Goethe University, Frankfurt, Germany
| | - Kendra Hoekzema
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Marlys L. Houck
- San Diego Zoo Wildlife Alliance, Escondido, CA, 92027-7000, USA
| | - Hyeonsoo Jeong
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Kaivan Kamali
- Department of Biology, Penn State University, University Park, PA 16802, USA
| | - Manolis Kellis
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Bryce Kille
- Department of Computer Science, Rice University, Houston, TX 77005, USA
| | - Chul Lee
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
| | - Youngho Lee
- Laboratory of bioinformatics and population genetics, Interdisciplinary program in bioinformatics, Seoul National University, Republic of Korea
| | - William Lees
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, Louisville, KY, USA
- Bioengineering Program, Faculty of Engineering, Bar-Ilan University, Ramat Gan, Israel
| | - Alexandra P. Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Qiuhui Li
- Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Mark Loftus
- Department of Genetics & Biochemistry, Clemson University, Clemson, SC, USA
- Center for Human Genetics, Clemson University, Greenwood, SC, USA
| | - Yong Hwee Eddie Loh
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
| | - Hailey Loucks
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95060, USA
| | - Jian Ma
- Ray and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, PA, USA
| | - Yafei Mao
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
- Center for Genomic Research, International Institutes of Medicine, Fourth Affiliated Hospital, Zhejiang University, Yiwu, Zhejiang, China
- Shanghai Jiao Tong University Chongqing Research Institute, Chongqing, China
| | - Juan F. I. Martinez
- Computer Science and Engineering Department, Huck Institutes of Life Sciences, Pennsylvania State University, State College, PA 16801, USA
| | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - Rajiv C. McCoy
- Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Barbara McGrath
- Department of Biology, Penn State University, University Park, PA 16802, USA
| | - Sean McKinney
- Stowers Institute for Medical Research, Kansas City, MO 64110, USA
| | - Britta S. Meyer
- Research Unit for Evolutionary Immunogenomics, Department of Biology, University of Hamburg, 20146 Hamburg, Germany
| | - Karen H. Miga
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95060, USA
| | - Saswat K. Mohanty
- Department of Biology, Penn State University, University Park, PA 16802, USA
| | - Katherine M. Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Karol Pal
- Department of Biology, Penn State University, University Park, PA 16802, USA
| | - Matt Pennell
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Pavel A. Pevzner
- Department of Computer Science and Engineering, University of California 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 64110, USA
| | - Francisca R. Ringeling
- Faculty of Informatics and Data Science, University of Regensburg, 93053 Regensburg, Germany
| | - Joana L. Roha
- Department of Integrative Biology, University of California, Berkeley, Berkeley, USA
| | - Oliver A. Ryder
- San Diego Zoo Wildlife Alliance, Escondido, CA, 92027-7000, USA
| | - Samuel Sacco
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Swati Saha
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, Louisville, KY, USA
| | - Takayo Sasaki
- San Diego Biomedical Research Institute, San Diego, CA, USA
| | - Michael C. Schatz
- Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Nicholas J. Schork
- The Translational Genomics Research Institute, a part of the City of Hope National Medical Center, Phoenix, AZ, USA
| | - Cole Shanks
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95060, USA
| | - Linnéa Smeds
- Department of Biology, Penn State University, University Park, PA 16802, USA
| | - Dongmin R. Son
- Department of Ecology, Evolution and Marine Biology, Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
| | - Cynthia Steiner
- San Diego Zoo Wildlife Alliance, Escondido, CA, 92027-7000, USA
| | - Alexander P. Sweeten
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Michael G. Tassia
- Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | | | - Mihir Trivedi
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Wenjie Wei
- School of Life Sciences, Westlake University, Hangzhou 310024, China
- National Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, 430070, Wuhan, China
| | - Julie Wertz
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Muyu Yang
- Ray and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, PA, USA
| | - Panpan Zhang
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Shilong Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China
| | - Yang Zhang
- Ray and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, PA, USA
| | - Zhenmiao Zhang
- Department of Computer Science and Engineering, University of California San Diego, CA, USA
| | - Sarah A. Zhao
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Yixin Zhu
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Erich D. Jarvis
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | | | - Iker Rivas-González
- Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95060, USA
| | - Zachary A. Szpiech
- Department of Biology, Penn State University, University Park, PA 16802, USA
| | - Christian D. Huber
- Department of Biology, Penn State University, University Park, PA 16802, USA
| | - Tobias L. Lenz
- Research Unit for Evolutionary Immunogenomics, Department of Biology, University of Hamburg, 20146 Hamburg, Germany
| | - Miriam K. Konkel
- Department of Genetics & Biochemistry, Clemson University, Clemson, SC, USA
- Center for Human Genetics, Clemson University, Greenwood, SC, USA
| | - Soojin V. Yi
- Department of Ecology, Evolution and Marine Biology, Department of Molecular, Cellular and Developmental Biology, Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
| | - Stefan Canzar
- Faculty of Informatics and Data Science, University of Regensburg, 93053 Regensburg, Germany
| | - Corey T. Watson
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Louisville, Louisville, KY, USA
| | - Peter H. Sudmant
- Department of Integrative Biology, University of California, Berkeley, Berkeley, USA
- Center for Computational Biology, University of California, Berkeley, Berkeley, USA
| | - Erin Molloy
- Department of Computer Science, University of Maryland, College Park, MD 20742, USA
| | - Erik Garrison
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Craig B. Lowe
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710, USA
| | - Mario Ventura
- Department of Biosciences, Biotechnology and Environment, University of Bari, Bari, 70124, Italy
| | - Rachel J. O’Neill
- Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269, USA
- Department of Genetics and Genome Sciences, University of Connecticut Health Center, Farmington, CT, USA
- Departments of Molecular and Cell Biology, UConn Storrs, CT, USA
| | - Sergey Koren
- Genome Informatics Section, Center for Genomics and Data Science Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Kateryna D. Makova
- Department of Biology, Penn State University, University Park, PA 16802, 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 20892, 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
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Zhang Z, Liu G, Zhou Z, Su Z, Gu X. Global level of methylation in the sea lamprey (jawless vertebrate) genome is intermediate between invertebrate and jawed vertebrate genomes. JOURNAL OF EXPERIMENTAL ZOOLOGY. PART B, MOLECULAR AND DEVELOPMENTAL EVOLUTION 2024; 342:391-397. [PMID: 38497317 DOI: 10.1002/jez.b.23250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 02/21/2024] [Accepted: 02/26/2024] [Indexed: 03/19/2024]
Abstract
In eukaryotes, cytosine methylation is a primary heritable epigenetic modification of the genome that regulates many cellular processes. In invertebrate, methylated cytosine generally located on specific genomic elements (e.g., gene bodies and silenced repetitive elements) to show a "mosaic" pattern. While in jawed vertebrate (teleost and tetrapod), highly methylated cytosine located genome-wide but only absence at regulatory regions (e.g., promoter and enhancer). Many studies imply that the evolution of DNA methylation reprogramming may have helped the transition from invertebrates to jawed vertebrates, but the detail remains largely elusive. In this study, we used the whole-genome bisulfite-sequencing technology to investigate the genome-wide methylation in three tissues (heart, muscle, and sperm) from the sea lamprey, an extant agnathan (jawless) vertebrate. Strikingly, we found that the methylation level of the sea lamprey is very similar to that in sea urchin (a deuterostome) and sea squirt (a chordate) invertebrates. In sum, the global pattern in sea lamprey is intermediate methylation level (around 30%), that is higher than methylation level in the genomes of pre-bilaterians and protostomes (1%-10%), but lower than methylation level appeared in jawed vertebrates (around 70%, teleost and tetrapod). We anticipate that, in addition to genetic dynamics such as genome duplications, epigenetic dynamics such as global methylation reprograming was also orchestrated toward the emergence and evolution of vertebrates.
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Affiliation(s)
- Zhao Zhang
- MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Gangbiao Liu
- MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
| | - Zhan Zhou
- Innovation Institute for Artificial Intelligence in Medicine and Zhejiang Provincial Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China
| | - Zhixi Su
- Singlera Genomics Ltd., Shanghai, China
| | - Xun Gu
- Department of Genetics, Development, and Cell Biology, Iowa State University, Ames, Iowa, USA
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Son D, Kong Y, Tan Y, Hu T, Shi L, Yi SV. Whole-genome DNA methylomes of Tree shrew brains reveal conserved and divergent roles of DNA methylation on sex chromosome regulation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.05.597676. [PMID: 38895372 PMCID: PMC11185668 DOI: 10.1101/2024.06.05.597676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
The tree shrew (Tupaia belangeri) is a promising emerging model organism in biomedical studies, notably due to their evolutionary proximity to primates. To enhance our understanding of how DNA methylation is implicated in regulation of gene expression and the X chromosome inactivation (XCI) in tree shrew brains, here we present their first genome-wide, single-base-resolution methylomes integrated with transcriptomes from prefrontal cortices. We discovered both divergent and conserved features of tree shrew DNA methylation compared to that of other mammals. DNA methylation levels of promoter and gene body regions are negatively correlated with gene expression, consistent with patterns in other mammalian brains studied. Comparing DNA methylation patterns of the female and male X chromosomes, we observed a clear and significant global reduction (hypomethylation) of DNA methylation across the entire X chromosome in females. Our data suggests that the female X hypomethylation does not directly contribute to the gene silencing of the inactivated X chromosome nor does it significantly drive sex-specific gene expression of tree shrews. However, we identified a putative regulatory region in the 5' end of the X inactive specific transcript (Xist) gene, a key gene for XCI, whose pattern of differential DNA methylation strongly relate to its differential expression between male and female tree shrews. We show that differential methylation of this region is conserved across different species. Moreover, we provide evidence suggesting that the observed difference between human and tree shrew X-linked promoter methylation is associated with the difference in genomic CpG contents. Our study offers novel information on genomic DNA methylation of tree shrews, as well as insights into the evolution of X chromosome regulation in mammals.
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Affiliation(s)
- Dongmin Son
- Department of Ecology, Evolution and Marine Biology, University of California Santa Barbara
- Department of Molecular, Cellular and Developmental Biology, Neuroscience Research Institute, University of California Santa Barbara
| | - Yifan Kong
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, 650201, P.R. China
| | - Yulian Tan
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650107, P.R. China
| | - Ting Hu
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, 650201, P.R. China
| | - Lei Shi
- Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650107, P.R. China
| | - Soojin V. Yi
- Department of Ecology, Evolution and Marine Biology, University of California Santa Barbara
- Department of Molecular, Cellular and Developmental Biology, Neuroscience Research Institute, University of California Santa Barbara
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7
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Jeong H, Mendizabal I, Yi SV. Human Brain Aging is Associated with Dysregulation of Cell-Type Epigenetic Identity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.01.596981. [PMID: 38895434 PMCID: PMC11185522 DOI: 10.1101/2024.06.01.596981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Significant links between aging and DNA methylation are emerging from recent studies. On the one hand, DNA methylation undergoes changes with age, a process termed as epigenetic drift. On the other hand, DNA methylation serves as a readily accessible and accurate biomarker for aging. A key missing piece of information, however, is the molecular mechanisms underlying these processes, and how they are related, if any. Addressing the limitations of previous research due to the limited number of investigated CpGs and the heterogeneous nature of tissue samples, here we have examined DNA methylation of over 20 million CpGs across a broad age span in neurons and non-neuronal cells, primarily oligodendrocytes. We show that aging is a primary predictor of DNA methylation variation, surpassing the influence of factors such as sex and schizophrenia diagnosis, among others. On the genome-wide scale, epigenetic drift manifests as significant yet subtle trends that are influenced by the methylation level of individual CpGs. We reveal that CpGs that are highly differentiated between cell types are especially prone to age-associated DNA methylation alterations, leading to the divergence of epigenetic cell type identities as individuals age. On the other hand, CpGs that are included in commonly used epigenetic clocks tend to be those sites that are not highly cell type differentiated. Therefore, dysregulation of epigenetic cell-type identities and current DNA epigenetic clocks represent distinct features of age-associated DNA methylation alterations.
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Affiliation(s)
- Hyeonsoo Jeong
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
- Current Address: Altos Labs, San Diego, CA, USA
| | - Isabel Mendizabal
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Bizkaia Technology Park, Building 801A, 48160, Derio, Spain
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
- Translational prostate cancer Research lab, CIC bioGUNE-Basurto, Biocruces Bizkaia Health Research Institute, Derio, Spain
| | - Soojin V Yi
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
- Department of Ecology, Evolution, and Marine Biology, Department of Molecular, Cellular, and Cell Biology, Neuroscience Research Institute, University of California, Santa Barbara, California 93106, USA
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8
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Haidar L, Georgescu M, Drăghici GA, Bănățean-Dunea I, Nica DV, Șerb AF. DNA Methylation Machinery in Gastropod Mollusks. Life (Basel) 2024; 14:537. [PMID: 38672807 PMCID: PMC11050768 DOI: 10.3390/life14040537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 04/17/2024] [Accepted: 04/20/2024] [Indexed: 04/28/2024] Open
Abstract
The role of DNA methylation in mollusks is just beginning to be understood. This review synthesizes current knowledge on this potent molecular hallmark of epigenetic control in gastropods-the largest class of mollusks and ubiquitous inhabitants of diverse habitats. Their DNA methylation machinery shows a high degree of conservation in CG maintenance methylation mechanisms, driven mainly by DNMT1 homologues, and the presence of MBD2 and MBD2/3 proteins as DNA methylation readers. The mosaic-like DNA methylation landscape occurs mainly in a CG context and is primarily confined to gene bodies and housekeeping genes. DNA methylation emerges as a critical regulator of reproduction, development, and adaptation, with tissue-specific patterns being observed in gonadal structures. Its dynamics also serve as an important regulatory mechanism underlying learning and memory processes. DNA methylation can be affected by various environmental stimuli, including as pathogens and abiotic stresses, potentially impacting phenotypic variation and population diversity. Overall, the features of DNA methylation in gastropods are complex, being an essential part of their epigenome. However, comprehensive studies integrating developmental stages, tissues, and environmental conditions, functional annotation of methylated regions, and integrated genomic-epigenomic analyses are lacking. Addressing these knowledge gaps will advance our understanding of gastropod biology, ecology, and evolution.
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Affiliation(s)
- Laura Haidar
- Department of Functional Sciences, Physiology Discipline, Faculty of Medicine, “Victor Babeș” University of Medicine and Pharmacy Timișoara, Eftimie Murgu Square No. 2, 300041 Timişoara, Romania;
- Center of Immuno-Physiology and Biotechnologies (CIFBIOTEH), “Victor Babeș” University of Medicine and Pharmacy Timișoara, Eftimie Murgu Square No. 2, 300041 Timişoara, Romania
| | - Marius Georgescu
- Department of Functional Sciences, Physiology Discipline, Faculty of Medicine, “Victor Babeș” University of Medicine and Pharmacy Timișoara, Eftimie Murgu Square No. 2, 300041 Timişoara, Romania;
- Center of Immuno-Physiology and Biotechnologies (CIFBIOTEH), “Victor Babeș” University of Medicine and Pharmacy Timișoara, Eftimie Murgu Square No. 2, 300041 Timişoara, Romania
| | - George Andrei Drăghici
- Faculty of Pharmacy, “Victor Babeș” University of Medicine and Pharmacy Timișoara, Eftimie Murgu Square No. 2, 300041 Timișoara, Romania;
- Research Center for Pharmaco-Toxicological Evaluations, Faculty of Pharmacy, “Victor Babeș” University of Medicine and Pharmacy Timișoara, Eftimie Murgu Square No. 2, 300041 Timișoara, Romania
| | - Ioan Bănățean-Dunea
- Biology and Plant Protection Department, Faculty of Agriculture, University of Life Sciences “King Mihai I” from Timișoara, Calea Aradului 119, 300645 Timișoara, Romania;
| | - Dragoș Vasile Nica
- The National Institute of Research—Development for Machines and Installations Designed for Agriculture and Food Industry (INMA), Bulevardul Ion Ionescu de la Brad 6, 077190 București, Romania
| | - Alina-Florina Șerb
- Department of Biochemistry and Pharmacology, Biochemistry Discipline, “Victor Babeș” University of Medicine and Pharmacy Timișoara, Eftimie Murgu Square No. 2, 300041 Timișoara, Romania;
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9
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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 : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.30.569198. [PMID: 38077089 PMCID: PMC10705393 DOI: 10.1101/2023.11.30.569198] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [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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10
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Okwaro LA, Korb J. Epigenetic regulation and division of labor in social insects. CURRENT OPINION IN INSECT SCIENCE 2023; 58:101051. [PMID: 37164259 DOI: 10.1016/j.cois.2023.101051] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 05/01/2023] [Accepted: 05/02/2023] [Indexed: 05/12/2023]
Abstract
Analogous to multicellular organisms, social insect colonies are characterized by division of labor with queens and workers reflecting germline and soma, respectively. In multicellular organisms, such division is achieved through epigenetic factors regulating cell differentiation during development. Analogously, epigenetic regulation is postulated to regulate caste differences in social insects. We summarize recent findings about the role of epigenetics in social insects, focusing on DNA methylation and histone modifications. We specifically address (i) queen versus worker caste differentiation, (ii) queen versus worker caste differences, and (iii) division of labor among workers. Our review provides an overview of an exciting and controversially discussed field in developmental and molecular biology. It shows that our current understanding about the role of epigenetics in regulating division of labor in social insects is still fragmentary but that refined methods with well-replicated samples and targeted questions offer promising insights into this emerging field of socio-epigenomics.
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Affiliation(s)
- Louis A Okwaro
- University of Freiburg, Evolutionary Biology and Ecology D-79104 Freiburg, Germany
| | - Judith Korb
- University of Freiburg, Evolutionary Biology and Ecology D-79104 Freiburg, Germany.
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11
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Pan B, Ye F, Li T, Wei F, Warren A, Wang Y, Gao S. Potential role of N 6-adenine DNA methylation in alternative splicing and endosymbiosis in Paramecium bursaria. iScience 2023; 26:106676. [PMID: 37182097 PMCID: PMC10173741 DOI: 10.1016/j.isci.2023.106676] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 12/02/2022] [Accepted: 04/11/2023] [Indexed: 05/16/2023] Open
Abstract
N6-adenine DNA methylation (6mA), a rediscovered epigenetic mark in eukaryotic organisms, diversifies in abundance, distribution, and function across species, necessitating its study in more taxa. Paramecium bursaria is a typical model organism with endosymbiotic algae of the species Chlorella variabilis. This consortium therefore serves as a valuable system to investigate the functional role of 6mA in endosymbiosis, as well as the evolutionary importance of 6mA among eukaryotes. In this study, we report the first genome-wide, base pair-resolution map of 6mA in P. bursaria and identify its methyltransferase PbAMT1. Functionally, 6mA exhibits a bimodal distribution at the 5' end of RNA polymerase II-transcribed genes and possibly participates in transcription by facilitating alternative splicing. Evolutionarily, 6mA co-evolves with gene age and likely serves as a reverse mark of endosymbiosis-related genes. Our results offer new insights for the functional diversification of 6mA in eukaryotes as an important epigenetic mark.
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Affiliation(s)
- Bo Pan
- Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao 266003, China
- Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao 266237, China
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Science, Ocean University of China, Qingdao 266003, China
| | - Fei Ye
- Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao 266003, China
- Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao 266237, China
| | - Tao Li
- Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao 266003, China
- Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao 266237, China
| | - Fan Wei
- Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao 266003, China
- Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao 266237, China
| | - Alan Warren
- Department of Life Sciences, Natural History Museum, London SW7 5BD, UK
| | - Yuanyuan Wang
- Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao 266003, China
- Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao 266237, China
- Corresponding author
| | - Shan Gao
- Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao 266003, China
- Laboratory for Marine Biology and Biotechnology, Laoshan Laboratory, Qingdao 266237, China
- MOE Key Laboratory of Marine Genetics and Breeding, College of Marine Life Science, Ocean University of China, Qingdao 266003, China
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12
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Mukiibi R, Peñaloza C, Gutierrez A, Yáñez JM, Houston RD, Robledo D. The impact of Piscirickettsia salmonis infection on genome-wide DNA methylation profile in Atlantic Salmon. Genomics 2022; 114:110503. [PMID: 36244592 DOI: 10.1016/j.ygeno.2022.110503] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 10/01/2022] [Accepted: 10/12/2022] [Indexed: 11/04/2022]
Abstract
Salmon rickettsial septicaemia (SRS), caused by the bacteria Piscirickettsia salmonis (P. salmonis), is responsible for significant mortality in farmed Atlantic salmon in Chile. Currently there are no effective treatments or preventive measures for this disease, although genetic selection or genome engineering to increase salmon resistance to SRS are promising strategies. The accuracy and efficiency of these strategies are usually influenced by the available biological background knowledge of the disease. The aim of this study was to investigate DNA methylation changes in response to P. salmonis infection in the head kidney and liver tissue of Atlantic salmon, and the interaction between gene expression and DNA methylation in the same tissues. The head kidney and liver methylomes of 66 juvenile salmon were profiled using reduced representation bisulphite sequencing (RRBS), and compared between P. salmonis infected animals (3 and 9 days post infection) and uninfected controls, and between SRS resistant and susceptible fish. Methylation was correlated with matching RNA-Seq data from the same animals, revealing that methylation in the first exon leads to an important repression of gene expression. Head kidney methylation showed a clear response to the infection, associated with immunological processes such as actin cytoskeleton regulation, phagocytosis, endocytosis and pathogen associated pattern receptor signaling. Our results contribute to the growing understanding of the role of methylation in regulation of gene expression and response to infectious diseases and could inform the incorporation of epigenetic markers into genomic selection for disease resistant and the design of diagnostic epigenetic markers to better manage fish health in salmon aquaculture.
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Affiliation(s)
- Robert Mukiibi
- The Roslin Institute and Royal (Dick) School of Veterinary Sciences, The University of Edinburgh, Edinburgh, UK
| | - Carolina Peñaloza
- The Roslin Institute and Royal (Dick) School of Veterinary Sciences, The University of Edinburgh, Edinburgh, UK
| | - Alejandro Gutierrez
- The Roslin Institute and Royal (Dick) School of Veterinary Sciences, The University of Edinburgh, Edinburgh, UK; Institute of Aquaculture, Faculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK
| | - José M Yáñez
- Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago, Chile; Center for Research and Innovation in Aquaculture (CRIA), Universidad de Chile, Santiago, Chile
| | - Ross D Houston
- The Roslin Institute and Royal (Dick) School of Veterinary Sciences, The University of Edinburgh, Edinburgh, UK.
| | - Diego Robledo
- The Roslin Institute and Royal (Dick) School of Veterinary Sciences, The University of Edinburgh, Edinburgh, UK.
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13
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Sun D, Yu H, Li Q. Genome-Wide Differential DNA Methylomes Provide Insights into the Infertility of Triploid Oysters. MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2022; 24:18-31. [PMID: 35041105 DOI: 10.1007/s10126-021-10083-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 11/03/2021] [Indexed: 06/14/2023]
Abstract
Chromosomal incompatibility and gene expression changes would affect the development of polyploid gonad and gamete formation. The role of epigenetics like DNA methylation in reproductive development is fully demonstrated in diploid animals. The lack of polyploid species and the infertility of polyploid animals, especially the odd ploidy, limit the study of epigenetic regulation mechanism of polyploid reproduction. Fertile and infertile individuals exist in triploid Pacific oyster Crassostrea gigas, which provide an interesting model for studies on the effect of epigenetic regulation on gonadal development. The whole genome single base resolution DNA methylomes in gonads of triploid females α (F-3nα), triploid females β (F-3nβ), triploid males α (M-3nα), triploid hermaphrodite predominantly males (HPM-3n), diploid females (F-2n), and diploid males (M-2n) were generated by using bisulfite-sequencing. The overall DNA methylation profiles in gene regions and transposable regions of fertile and infertile triploid oysters were consistent with those of diploid oysters. The DNA methylation level of CG context decreased in infertile triploid oysters, with more hypomethylated than hypermethylated regions, and the opposite is true in fertile triploid oysters. Genes harbored with differentially methylated regions (DMRs) in infertile triploids were mainly related to the metabolism pathways and the signal pathways. Correlation analysis indicated that the expression of gene transcriptions was generally positively associated with DNA methylation in gene body regions, and DMRs in infertile triploid oysters played significant roles in gonadal development as a possible critical epigenetic regulator of gonadal development gene transcriptional activity. These findings indicate a potential relationship between DNA methylation variability and gene expression plasticity in newly formed polyploidy. As far as we know, this is the first study revealing the epigenetic regulation of gonadal development in invertebrates based on fertile and infertile models, meanwhile providing a new mentality to explore the regulatory mechanisms of infertility in triploids.
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Affiliation(s)
- Dongfang Sun
- Key Laboratory of Mariculture, Ministry of Education, Ocean University of China), Qingdao, 266003, China
| | - Hong Yu
- Key Laboratory of Mariculture, Ministry of Education, Ocean University of China), Qingdao, 266003, China
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China
| | - Qi Li
- Key Laboratory of Mariculture, Ministry of Education, Ocean University of China), Qingdao, 266003, China.
- Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266237, China.
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14
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Zhang X, Jacobs D. OUP accepted manuscript. Genome Biol Evol 2022; 14:6519162. [PMID: 35104341 PMCID: PMC8857923 DOI: 10.1093/gbe/evab284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/18/2021] [Indexed: 11/14/2022] Open
Abstract
DNA methylation, an important component of eukaryotic epigenetics, varies in pattern and function across Metazoa. Notably, bilaterian vertebrates and invertebrates differ dramatically in gene body methylation (GbM). Using the frequency of cytosine-phospho-guanines (CpGs), which are lost through mutation when methylated, we report the first broad survey of DNA methylation in Cnidaria, the ancient sister group to Bilateria. We find that: 1) GbM differentially relates to expression categories as it does in most bilaterian invertebrates, but distributions of GbM are less discretely bimodal. 2) Cnidarians generally have lower CpG frequencies on gene bodies than bilaterian invertebrates potentially suggesting a compensatory mechanism to replace CpG lost to mutation in Bilateria that is lacking in Cnidaria. 3) GbM patterns show some consistency within taxonomic groups such as the Scleractinian corals; however, GbM patterns variation across a range of taxonomic ranks in Cnidaria suggests active evolutionary change in GbM within Cnidaria. 4) Some but not all GbM variation is associated with life history change and genome expansion, whereas GbM loss is evident in endoparasitic cnidarians. 5) Cnidarian repetitive elements are less methylated than gene bodies, and methylation of both correlate with genome repeat content. 6) These observations reinforce claims that GbM evolved in stem Metazoa. Thus, this work supports overlap between DNA methylation processes in Cnidaria and Bilateria, provides a framework to compare methylation within and between Cnidaria and Bilateria, and demonstrates the previously unknown rapid evolution of cnidarian methylation.
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Affiliation(s)
- Xinhui Zhang
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, USA
| | - David Jacobs
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, USA
- Corresponding author: E-mail:
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15
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Ruhr I, Bierstedt J, Rhen T, Das D, Singh SK, Miller S, Crossley DA, Galli GLJ. Developmental programming of DNA methylation and gene expression patterns is associated with extreme cardiovascular tolerance to anoxia in the common snapping turtle. Epigenetics Chromatin 2021; 14:42. [PMID: 34488850 PMCID: PMC8420019 DOI: 10.1186/s13072-021-00414-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 08/02/2021] [Indexed: 12/15/2022] Open
Abstract
Background Environmental fluctuation during embryonic and fetal development can permanently alter an organism’s morphology, physiology, and behaviour. This phenomenon, known as developmental plasticity, is particularly relevant to reptiles that develop in subterranean nests with variable oxygen tensions. Previous work has shown hypoxia permanently alters the cardiovascular system of snapping turtles and may improve cardiac anoxia tolerance later in life. The mechanisms driving this process are unknown but may involve epigenetic regulation of gene expression via DNA methylation. To test this hypothesis, we assessed in situ cardiac performance during 2 h of acute anoxia in juvenile turtles previously exposed to normoxia (21% oxygen) or hypoxia (10% oxygen) during embryogenesis. Next, we analysed DNA methylation and gene expression patterns in turtles from the same cohorts using whole genome bisulfite sequencing, which represents the first high-resolution investigation of DNA methylation patterns in any reptilian species. Results Genome-wide correlations between CpG and CpG island methylation and gene expression patterns in the snapping turtle were consistent with patterns observed in mammals. As hypothesized, developmental hypoxia increased juvenile turtle cardiac anoxia tolerance and programmed DNA methylation and gene expression patterns. Programmed differences in expression of genes such as SCN5A may account for differences in heart rate, while genes such as TNNT2 and TPM3 may underlie differences in calcium sensitivity and contractility of cardiomyocytes and cardiac inotropy. Finally, we identified putative transcription factor-binding sites in promoters and in differentially methylated CpG islands that suggest a model linking programming of DNA methylation during embryogenesis to differential gene expression and cardiovascular physiology later in life. Binding sites for hypoxia inducible factors (HIF1A, ARNT, and EPAS1) and key transcription factors activated by MAPK and BMP signaling (RREB1 and SMAD4) are implicated. Conclusions Our data strongly suggests that DNA methylation plays a conserved role in the regulation of gene expression in reptiles. We also show that embryonic hypoxia programs DNA methylation and gene expression patterns and that these changes are associated with enhanced cardiac anoxia tolerance later in life. Programming of cardiac anoxia tolerance has major ecological implications for snapping turtles, because these animals regularly exploit anoxic environments throughout their lifespan. Supplementary Information The online version contains supplementary material available at 10.1186/s13072-021-00414-7.
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Affiliation(s)
- Ilan Ruhr
- Division of Cardiovascular Sciences, School of Medical Sciences, University of Manchester, Manchester, M13 9NT, UK
| | - Jacob Bierstedt
- Department of Biology, University of North Dakota, Grand Forks, ND, 58202, USA
| | - Turk Rhen
- Department of Biology, University of North Dakota, Grand Forks, ND, 58202, USA.
| | - Debojyoti Das
- Department of Biology, University of North Dakota, Grand Forks, ND, 58202, USA
| | - Sunil Kumar Singh
- Department of Biology, University of North Dakota, Grand Forks, ND, 58202, USA
| | - Soleille Miller
- Department of Biology, University of North Dakota, Grand Forks, ND, 58202, USA
| | - Dane A Crossley
- Department of Biological Sciences, University of North Texas, Denton, TX, 76203, USA
| | - Gina L J Galli
- Division of Cardiovascular Sciences, School of Medical Sciences, University of Manchester, Manchester, M13 9NT, UK
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16
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Yi SV, Goodisman MAD. The impact of epigenetic information on genome evolution. Philos Trans R Soc Lond B Biol Sci 2021; 376:20200114. [PMID: 33866804 DOI: 10.1098/rstb.2020.0114] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Epigenetic information affects gene function by interacting with chromatin, while not changing the DNA sequence itself. However, it has become apparent that the interactions between epigenetic information and chromatin can, in fact, indirectly lead to DNA mutations and ultimately influence genome evolution. This review evaluates the ways in which epigenetic information affects genome sequence and evolution. We discuss how DNA methylation has strong and pervasive effects on DNA sequence evolution in eukaryotic organisms. We also review how the physical interactions arising from the connections between histone proteins and DNA affect DNA mutation and repair. We then discuss how a variety of epigenetic mechanisms exert substantial effects on genome evolution by suppressing the movement of transposable elements. Finally, we examine how genome expansion through gene duplication is also partially controlled by epigenetic information. Overall, we conclude that epigenetic information has widespread indirect effects on DNA sequences in eukaryotes and represents a potent cause and constraint of genome evolution. This article is part of the theme issue 'How does epigenetics influence the course of evolution?'
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Affiliation(s)
- Soojin V Yi
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Michael A D Goodisman
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA
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17
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Pérez RF, Tejedor JR, Santamarina-Ojeda P, Martínez VL, Urdinguio RG, Villamañán L, Candiota AP, Sarró NMV, Barradas M, Fernandez-Marcos PJ, Serrano M, Fernández AF, Fraga MF. Conservation of Aging and Cancer Epigenetic Signatures across Human and Mouse. Mol Biol Evol 2021; 38:3415-3435. [PMID: 33871658 PMCID: PMC8321527 DOI: 10.1093/molbev/msab112] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Aging and cancer are two interrelated processes, with aging being a major risk factor for the development of cancer. Parallel epigenetic alterations have been described for both, although differences, especially within the DNA hypomethylation scenario, have also been recently reported. Although many of these observations arise from the use of mouse models, there is a lack of systematic comparisons of human and mouse epigenetic patterns in the context of disease. However, such comparisons are significant as they allow to establish the extent to which some of the observed similarities or differences arise from pre-existing species-specific epigenetic traits. Here, we have used reduced representation bisulfite sequencing to profile the brain methylomes of young and old, tumoral and nontumoral brain samples from human and mouse. We first characterized the baseline epigenomic patterns of the species and subsequently focused on the DNA methylation alterations associated with cancer and aging. Next, we described the functional genomic and epigenomic context associated with the alterations, and finally, we integrated our data to study interspecies DNA methylation levels at orthologous CpG sites. Globally, we found considerable differences between the characteristics of DNA methylation alterations in cancer and aging in both species. Moreover, we describe robust evidence for the conservation of the specific cancer and aging epigenomic signatures in human and mouse. Our observations point toward the preservation of the functional consequences of these alterations at multiple levels of genomic regulation. Finally, our analyses reveal a role for the genomic context in explaining disease- and species-specific epigenetic traits.
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Affiliation(s)
- Raúl F Pérez
- Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), University of Oviedo, Oviedo, Spain.,Institute of Oncology of Asturias (IUOPA), University of Oviedo, Oviedo, Spain.,Health Research Institute of Asturias (ISPA), University of Oviedo, Oviedo, Spain.,Department of Organisms and Systems Biology (B.O.S.), University of Oviedo, Oviedo, Spain.,Rare Diseases CIBER (CIBERER) of the Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Juan Ramón Tejedor
- Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), University of Oviedo, Oviedo, Spain.,Institute of Oncology of Asturias (IUOPA), University of Oviedo, Oviedo, Spain.,Health Research Institute of Asturias (ISPA), University of Oviedo, Oviedo, Spain.,Department of Organisms and Systems Biology (B.O.S.), University of Oviedo, Oviedo, Spain.,Rare Diseases CIBER (CIBERER) of the Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Pablo Santamarina-Ojeda
- Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), University of Oviedo, Oviedo, Spain.,Institute of Oncology of Asturias (IUOPA), University of Oviedo, Oviedo, Spain.,Health Research Institute of Asturias (ISPA), University of Oviedo, Oviedo, Spain.,Department of Organisms and Systems Biology (B.O.S.), University of Oviedo, Oviedo, Spain.,Rare Diseases CIBER (CIBERER) of the Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Virginia López Martínez
- Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), University of Oviedo, Oviedo, Spain.,Institute of Oncology of Asturias (IUOPA), University of Oviedo, Oviedo, Spain.,Health Research Institute of Asturias (ISPA), University of Oviedo, Oviedo, Spain.,Department of Organisms and Systems Biology (B.O.S.), University of Oviedo, Oviedo, Spain.,Rare Diseases CIBER (CIBERER) of the Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Rocío G Urdinguio
- Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), University of Oviedo, Oviedo, Spain.,Institute of Oncology of Asturias (IUOPA), University of Oviedo, Oviedo, Spain.,Health Research Institute of Asturias (ISPA), University of Oviedo, Oviedo, Spain.,Department of Organisms and Systems Biology (B.O.S.), University of Oviedo, Oviedo, Spain.,Rare Diseases CIBER (CIBERER) of the Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Lucía Villamañán
- Unitat de Bioquímica de Biociències, Departament de Bioquímica i Biologia Molecular, Edifici Cs, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
| | - Ana Paula Candiota
- Unitat de Bioquímica de Biociències, Departament de Bioquímica i Biologia Molecular, Edifici Cs, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.,Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - N Mí Vidal Sarró
- Servicio Anatomía Patológica, Hospital Universitari de Bellvitge-IDIBELL, Hospitalet de Llobregat, Spain
| | - Marta Barradas
- Metabolic Syndrome Group-BIOPROMET, Madrid Institute for Advanced Studies-IMDEA Food, CEI UAM+CSIC, Madrid, Spain
| | - Pablo Jose Fernandez-Marcos
- Metabolic Syndrome Group-BIOPROMET, Madrid Institute for Advanced Studies-IMDEA Food, CEI UAM+CSIC, Madrid, Spain
| | - Manuel Serrano
- Tumour Suppression Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.,Cellular Plasticity and Disease Group, Institute for Research in Biomedicine (IRB Barcelona), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.,Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Agusín F Fernández
- Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), University of Oviedo, Oviedo, Spain.,Institute of Oncology of Asturias (IUOPA), University of Oviedo, Oviedo, Spain.,Health Research Institute of Asturias (ISPA), University of Oviedo, Oviedo, Spain.,Department of Organisms and Systems Biology (B.O.S.), University of Oviedo, Oviedo, Spain.,Rare Diseases CIBER (CIBERER) of the Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Mario F Fraga
- Cancer Epigenetics and Nanomedicine Laboratory, Nanomaterials and Nanotechnology Research Center (CINN-CSIC), University of Oviedo, Oviedo, Spain.,Institute of Oncology of Asturias (IUOPA), University of Oviedo, Oviedo, Spain.,Health Research Institute of Asturias (ISPA), University of Oviedo, Oviedo, Spain.,Department of Organisms and Systems Biology (B.O.S.), University of Oviedo, Oviedo, Spain.,Rare Diseases CIBER (CIBERER) of the Carlos III Health Institute (ISCIII), Madrid, Spain
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18
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Loaeza-Loaeza J, Beltran AS, Hernández-Sotelo D. DNMTs and Impact of CpG Content, Transcription Factors, Consensus Motifs, lncRNAs, and Histone Marks on DNA Methylation. Genes (Basel) 2020; 11:genes11111336. [PMID: 33198240 PMCID: PMC7696963 DOI: 10.3390/genes11111336] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 11/06/2020] [Accepted: 11/10/2020] [Indexed: 12/15/2022] Open
Abstract
DNA methyltransferases (DNMTs) play an essential role in DNA methylation and transcriptional regulation in the genome. DNMTs, along with other poorly studied elements, modulate the dynamic DNA methylation patterns of embryonic and adult cells. We summarize the current knowledge on the molecular mechanism of DNMTs’ functional targeting to maintain genome-wide DNA methylation patterns. We focus on DNMTs’ intrinsic characteristics, transcriptional regulation, and post-transcriptional modifications. Furthermore, we focus special attention on the DNMTs’ specificity for target sites, including key cis-regulatory factors such as CpG content, common motifs, transcription factors (TF) binding sites, lncRNAs, and histone marks to regulate DNA methylation. We also review how complexes of DNMTs/TFs or DNMTs/lncRNAs are involved in DNA methylation in specific genome regions. Understanding these processes is essential because the spatiotemporal regulation of DNA methylation modulates gene expression in health and disease.
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Affiliation(s)
- Jaqueline Loaeza-Loaeza
- Laboratorio de Epigenética del Cáncer, Facultad de Ciencias Químico-Biológicas, Universidad Autónoma de Guerrero, NC 39087 Chilpancingo, Mexico;
| | - Adriana S. Beltran
- Department of Pharmacology, University of North Carolina, Chapel Hill, NC 27599, USA;
| | - Daniel Hernández-Sotelo
- Laboratorio de Epigenética del Cáncer, Facultad de Ciencias Químico-Biológicas, Universidad Autónoma de Guerrero, NC 39087 Chilpancingo, Mexico;
- Correspondence:
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19
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Diversification of CpG-Island Promoters Revealed by Comparative Analysis Between Human and Rhesus Monkey Genomes. Mamm Genome 2020; 31:240-251. [PMID: 32647942 PMCID: PMC7496026 DOI: 10.1007/s00335-020-09844-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 06/23/2020] [Indexed: 11/02/2022]
Abstract
While CpG dinucleotides are significantly reduced compared to other dinucleotides in mammalian genomes, they can congregate and form CpG islands, which localize around the 5' regions of genes, where they function as promoters. CpG-island promoters are generally unmethylated and are often found in housekeeping genes. However, their nucleotide sequences and existence per se are not conserved between humans and mice, which may be due to evolutionary gain and loss of the regulatory regions. In this study, human and rhesus monkey genomes, with moderately conserved sequences, were compared at base resolution. Using transcription start site data, we first validated our methods' ability to identify orthologous promoters and indicated a limitation using the 5' end of curated gene models, such as NCBI RefSeq, as their transcription start sites. We found that, in addition to deamination mutations, insertions and deletions of bases, repeats, and long fragments contributed to the mutations of CpG dinucleotides. We also observed that the G + C contents tended to change in CpG-poor environments, while CpG content was altered in G + C-rich environments. While loss of CpG islands can be caused by gradual decreases in CpG sites, gain of these islands appear to require two distinct nucleotide altering steps. Taken together, our findings provide novel insights into the process of acquisition and diversification of CpG-island promoters in vertebrates.
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20
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Khan S, Sowpati DT, Srinivasan A, Soujanya M, Mishra RK. Long-Read Genome Sequencing and Assembly of Leptopilina boulardi: A Specialist Drosophila Parasitoid. G3 (BETHESDA, MD.) 2020; 10:1485-1494. [PMID: 32217632 PMCID: PMC7202025 DOI: 10.1534/g3.120.401151] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Accepted: 03/15/2020] [Indexed: 02/06/2023]
Abstract
Leptopilinaboulardi (Hymenoptera: Figitidae) is a specialist parasitoid of Drosophila The Drosophila-Leptopilina system has emerged as a suitable model for understanding several aspects of host-parasitoid biology. However, a good quality genome of the wasp counterpart was lacking. Here, we report a whole-genome assembly of L. boulardi to bring it in the scope of the applied and fundamental research on Drosophila parasitoids with access to epigenomics and genome editing tools. The 375Mb draft genome has an N50 of 275Kb with 6315 scaffolds >500bp and encompasses >95% complete BUSCOs. Using a combination of ab-initio and RNA-Seq based methods, 25259 protein-coding genes were predicted and 90% (22729) of them could be annotated with at least one function. We demonstrate the quality of the assembled genome by recapitulating the phylogenetic relationship of L. boulardi with other Hymenopterans. The key developmental regulators like Hox genes and sex determination genes are well conserved in L. boulardi, and so is the basic toolkit for epigenetic regulation. The search for epigenetic regulators has also revealed that L. boulardi genome possesses DNMT1 (maintenance DNA methyltransferase), DNMT2 (tRNA methyltransferase) but lacks the de novo DNA methyltransferase (DNMT3). Also, the heterochromatin protein 1 family appears to have expanded as compared to other hymenopterans. The draft genome of L. boulardi (Lb17) will expedite the research on Drosophila parasitoids. This genome resource and early indication of epigenetic aspects in its specialization make it an interesting system to address a variety of questions on host-parasitoid biology.
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Affiliation(s)
- Shagufta Khan
- CSIR - Centre for Cellular and Molecular Biology, Hyderabad - 500007, Telangana, India
| | - Divya Tej Sowpati
- CSIR - Centre for Cellular and Molecular Biology, Hyderabad - 500007, Telangana, India
| | - Arumugam Srinivasan
- CSIR - Centre for Cellular and Molecular Biology, Hyderabad - 500007, Telangana, India
| | - Mamilla Soujanya
- CSIR - Centre for Cellular and Molecular Biology, Hyderabad - 500007, Telangana, India
| | - Rakesh K Mishra
- CSIR - Centre for Cellular and Molecular Biology, Hyderabad - 500007, Telangana, India
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21
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Sun D, Maney DL, Layman TS, Chatterjee P, Yi SV. Regional epigenetic differentiation of the Z Chromosome between sexes in a female heterogametic system. Genome Res 2019; 29:1673-1684. [PMID: 31548356 PMCID: PMC6771406 DOI: 10.1101/gr.248641.119] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Accepted: 08/07/2019] [Indexed: 01/26/2023]
Abstract
In male heterogametic systems, the X Chromosome is epigenetically differentiated between males and females, to facilitate dosage compensation. For example, the X Chromosome in female mammals is largely inactivated. Relative to well-studied male heterogametic systems, the extent of epigenetic differentiation between male and female Z Chromosomes in female heterogametic species, which often lack complete dosage compensation, is poorly understood. Here, we examined the chromosomal DNA methylation landscapes of male and female Z Chromosomes in two distantly related avian species, namely chicken and white-throated sparrow. We show that, in contrast to the pattern in mammals, male and female Z Chromosomes in these species exhibit highly similar patterns of DNA methylation, which is consistent with weak or absent dosage compensation. We further demonstrate that the epigenetic differences between male and female chicken Z Chromosomes are localized to a few regions, including a previously identified male hypermethylated region 1 (MHM1; CGNC: 80601). We discovered a novel region with elevated male-to-female methylation ratios on the chicken Z Chromosome (male hypermethylated region 2 [MHM2]; CGNC: 80602). The MHM1 and MHM2, despite little sequence similarity between them, bear similar molecular features that are likely associated with their functions. We present evidence consistent with female hypomethylation of MHMs and up-regulation of nearby genes. Therefore, despite little methylation differentiation between sexes, extremely localized DNA methylation differences between male and female chicken Z Chromosomes have evolved and affect expression of nearby regions. Our findings offer new insights into epigenetic regulation of gene expression between sexes in female heterogametic systems.
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Affiliation(s)
- Dan Sun
- School of Biological Sciences, Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - Donna L Maney
- Department of Psychology, Emory University, Atlanta, Georgia 30322, USA
| | - Thomas S Layman
- School of Biological Sciences, Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - Paramita Chatterjee
- School of Biological Sciences, Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - Soojin V Yi
- School of Biological Sciences, Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
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22
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Luo R, Bai C, Yang L, Zheng Z, Su G, Gao G, Wei Z, Zuo Y, Li G. DNA methylation subpatterns at distinct regulatory regions in human early embryos. Open Biol 2018; 8:rsob.180131. [PMID: 30381360 PMCID: PMC6223221 DOI: 10.1098/rsob.180131] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 10/02/2018] [Indexed: 12/11/2022] Open
Abstract
DNA methylation has been investigated for many years, but recent technologies have allowed for single-cell- and single-base-resolution DNA methylation datasets and more accurate assessment of DNA methylation dynamics at the key genomic regions that regulate gene expression in human early embryonic development. In this study, the region from upstream 20 kb to downstream 20 kb of RefSeq gene was selected and divided into 12 distinct regions (up20, up10, up5, up2, 5'UTR, exon, intron, 3'UTR, down2, down5, down10 and down20). The candidate promoter region (TSS ± 2 kb) was further divided into 20 consecutive subregions, which were termed 'bins'. The DNA methylation dynamics of these regions were systematically analysed along with their effects on gene expression in human early embryos. The dynamic DNA methylation subpatterns at the distinct genomic regions with a focus on promoter regions were mapped. For the 12 distinct genomic regions, up2 and 5'UTR had the lowest DNA methylation levels, and their methylation dynamics were different with other regions. The region 3'UTR had the highest DNA methylation levels, and the correlation analysis with gene expression proved that it was a feature of transcribed genes. For the 20 bins in promoter region, the CpG densities showed a normal distribution pattern, and the trend of the methylated CpG counts was inverse with the DNA methylation levels, especially for the bin 1 (downstream 200 bp of the TSS). Through the correlation analysis between DNA methylation and gene expression, the current study finally revealed that the region bin -4 to 6 (800 bp upstream to 1200 bp downstream of the TSS) was the best candidate for the promoter region in human early embryos, and bin 1 was the putative key regulator of gene activity. This study provided a global and high-resolution view of DNA methylation subpatterns at the distinct genomic regions in human early embryos.
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Affiliation(s)
- Rongsong Luo
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot 010070, People's Republic of China.,College of Life Sciences, Inner Mongolia University, Hohhot 010070, People's Republic of China
| | - Chunling Bai
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot 010070, People's Republic of China.,College of Life Sciences, Inner Mongolia University, Hohhot 010070, People's Republic of China
| | - Lei Yang
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot 010070, People's Republic of China.,College of Life Sciences, Inner Mongolia University, Hohhot 010070, People's Republic of China
| | - Zhong Zheng
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot 010070, People's Republic of China.,College of Life Sciences, Inner Mongolia University, Hohhot 010070, People's Republic of China
| | - Guanghua Su
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot 010070, People's Republic of China.,College of Life Sciences, Inner Mongolia University, Hohhot 010070, People's Republic of China
| | - Guangqi Gao
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot 010070, People's Republic of China.,College of Life Sciences, Inner Mongolia University, Hohhot 010070, People's Republic of China
| | - Zhuying Wei
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot 010070, People's Republic of China.,College of Life Sciences, Inner Mongolia University, Hohhot 010070, People's Republic of China
| | - Yongchun Zuo
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot 010070, People's Republic of China .,College of Life Sciences, Inner Mongolia University, Hohhot 010070, People's Republic of China
| | - Guangpeng Li
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot 010070, People's Republic of China .,College of Life Sciences, Inner Mongolia University, Hohhot 010070, People's Republic of China
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23
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Jeong H, Wu X, Smith B, Yi SV. Genomic Landscape of Methylation Islands in Hymenopteran Insects. Genome Biol Evol 2018; 10:2766-2776. [PMID: 30239702 PMCID: PMC6195173 DOI: 10.1093/gbe/evy203] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/13/2018] [Indexed: 01/31/2023] Open
Abstract
Recent genome-wide DNA methylation analyses of insect genomes accentuate an intriguing contrast compared with those in mammals. In mammals, most CpGs are heavily methylated, with the exceptions of clusters of hypomethylated sites referred to as CpG islands. In contrast, DNA methylation in insects is localized to a small number of CpG sites. Here, we refer to clusters of methylated CpGs as “methylation islands (MIs),” and investigate their characteristics in seven hymenopteran insects with high-quality bisulfite sequencing data. Methylation islands were primarily located within gene bodies. They were significantly overrepresented in exon–intron boundaries, indicating their potential roles in splicing. Methylated CpGs within MIs exhibited stronger evolutionary conservation compared with those outside of MIs. Additionally, genes harboring MIs exhibited higher and more stable levels of gene expression compared with those that do not harbor MIs. The effects of MIs on evolutionary conservation and gene expression are independent and stronger than the effect of DNA methylation alone. These results indicate that MIs may be useful to gain additional insights into understanding the role of DNA methylation in gene expression and evolutionary conservation in invertebrate genomes.
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Affiliation(s)
- Hyeonsoo Jeong
- School of Biological Sciences, Institute of Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia
| | - Xin Wu
- School of Biological Sciences, Institute of Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia
| | - Brandon Smith
- School of Biological Sciences, Institute of Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia
| | - Soojin V Yi
- School of Biological Sciences, Institute of Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia
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24
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Singh RK, Diaz PE, Binette F, Nasonkin IO. Immunohistochemical Detection of 5-Methylcytosine and 5-Hydroxymethylcytosine in Developing and Postmitotic Mouse Retina. J Vis Exp 2018. [PMID: 30222161 PMCID: PMC6235063 DOI: 10.3791/58274] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
The epigenetics of retinal development is a well-studied research field, which promises to bring a new level of understanding about the mechanisms of a variety of human retinal degenerative diseases and pinpoint new treatment approaches. The nuclear architecture of mouse retina is organized in two different patterns: conventional and inverted. Conventional pattern is universal where heterochromatin is localized to the periphery of the nucleus, while active euchromatin resides in the nuclear interior. In contrast, inverted nuclear pattern is unique to the adult rod photoreceptor cell nuclei where heterochromatin localizes to the nuclear center, and euchromatin resides in the nuclear periphery. DNA methylation is predominantly observed in chromocenters. DNA methylation is a dynamic covalent modification on the cytosine residues (5-methylcytosine, 5mC) of CpG dinucleotides that are enriched in the promoter regions of many genes. Three DNA methyltransferases (DNMT1, DNMT3A and DNMT3B) participate in methylation of DNA during development. Detecting 5mC with immunohistochemical techniques is very challenging, contributing to variability in results, as all DNA bases including 5mC modified bases are hidden within the double-stranded DNA helix. However, detailed delineation of 5mC distribution during development is very informative. Here, we describe a reproducible technique for robust immunohistochemical detection of 5mC and another epigenetic DNA marker 5-hydroxymethylcytosine (5hmC), which colocalizes with the "open", transcriptionally active chromatin in developing and postmitotic mouse retina.
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25
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Belot MP, Castell AL, Le Fur S, Bougnères P. Dynamic demethylation of the IL2RA promoter during in vitro CD4+ T cell activation in association with IL2RA expression. Epigenetics 2018; 13:459-472. [PMID: 30096258 DOI: 10.1080/15592294.2018.1469893] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
IL2RA, a subunit of the high affinity receptor for interleukin-2 (IL2), plays a crucial role in immune homeostasis. Notably, IL2RA expression is induced in CD4+ T cells in response to various stimuli and is constitutive in regulatory T cells (Tregs). We selected for our study 18 CpGs located within cognate regulatory regions of the IL2RA locus and characterized their methylation in naive, regulatory, and memory CD4+ T cells. We found that 5/18 CpGs (notably CpG + 3502) show dynamic, active demethylation during the in vitro activation of naive CD4+ T cells. Demethylation of these CpGs correlates with appearance of IL2RA protein at the cell surface. We found no influence of cis located SNP alleles upon CpG methylation. Treg cells show constitutive demethylation at all studied CpGs. Methylation of 9/18 CpGs, including CpG +3502, decreases with age. Our data thus identify CpG +3502 and a few other CpGs at the IL2RA locus as coordinated epigenetic regulators of IL2RA expression in CD4+ T cells. This may contribute to unravel how the IL2RA locus can be involved in immune physiology and pathology.
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Affiliation(s)
- Marie-Pierre Belot
- a Institut National de la Santé et de la Recherche Médicale UMR1169 , Paris Sud University, Bicêtre Hospital , Le Kremlin-Bicêtre , France.,b Fondation de l'AP-HP pour la Recherche , Paris , France
| | - Anne-Laure Castell
- c Service de Médecine des Adolescents , Paris Sud University, Bicêtre Hospital , Le Kremlin-Bicêtre , France
| | - Sophie Le Fur
- a Institut National de la Santé et de la Recherche Médicale UMR1169 , Paris Sud University, Bicêtre Hospital , Le Kremlin-Bicêtre , France
| | - Pierre Bougnères
- a Institut National de la Santé et de la Recherche Médicale UMR1169 , Paris Sud University, Bicêtre Hospital , Le Kremlin-Bicêtre , France.,c Service de Médecine des Adolescents , Paris Sud University, Bicêtre Hospital , Le Kremlin-Bicêtre , France
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26
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Lindsey ARI, Kelkar YD, Wu X, Sun D, Martinson EO, Yan Z, Rugman-Jones PF, Hughes DST, Murali SC, Qu J, Dugan S, Lee SL, Chao H, Dinh H, Han Y, Doddapaneni HV, Worley KC, Muzny DM, Ye G, Gibbs RA, Richards S, Yi SV, Stouthamer R, Werren JH. Comparative genomics of the miniature wasp and pest control agent Trichogramma pretiosum. BMC Biol 2018; 16:54. [PMID: 29776407 PMCID: PMC5960102 DOI: 10.1186/s12915-018-0520-9] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Accepted: 04/20/2018] [Indexed: 12/25/2022] Open
Abstract
Background Trichogrammatids are minute parasitoid wasps that develop within other insect eggs. They are less than half a millimeter long, smaller than some protozoans. The Trichogrammatidae are one of the earliest branching families of Chalcidoidea: a diverse superfamily of approximately half a million species of parasitoid wasps, proposed to have evolved from a miniaturized ancestor. Trichogramma are frequently used in agriculture, released as biological control agents against major moth and butterfly pests. Additionally, Trichogramma are well known for their symbiotic bacteria that induce asexual reproduction in infected females. Knowledge of the genome sequence of Trichogramma is a major step towards further understanding its biology and potential applications in pest control. Results We report the 195-Mb genome sequence of Trichogramma pretiosum and uncover signatures of miniaturization and adaptation in Trichogramma and related parasitoids. Comparative analyses reveal relatively rapid evolution of proteins involved in ribosome biogenesis and function, transcriptional regulation, and ploidy regulation. Chalcids also show loss or especially rapid evolution of 285 gene clusters conserved in other Hymenoptera, including many that are involved in signal transduction and embryonic development. Comparisons between sexual and asexual lineages of Trichogramma pretiosum reveal that there is no strong evidence for genome degradation (e.g., gene loss) in the asexual lineage, although it does contain a lower repeat content than the sexual lineage. Trichogramma shows particularly rapid genome evolution compared to other hymenopterans. We speculate these changes reflect adaptations to miniaturization, and to life as a specialized egg parasitoid. Conclusions The genomes of Trichogramma and related parasitoids are a valuable resource for future studies of these diverse and economically important insects, including explorations of parasitoid biology, symbiosis, asexuality, biological control, and the evolution of miniaturization. Understanding the molecular determinants of parasitism can also inform mass rearing of Trichogramma and other parasitoids for biological control. Electronic supplementary material The online version of this article (10.1186/s12915-018-0520-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Amelia R I Lindsey
- Department of Entomology, University of California Riverside, Riverside, California, 92521, USA. .,Present Address: Department of Biology, Indiana University, Bloomington, Indiana, 47405, USA.
| | - Yogeshwar D Kelkar
- Department of Biology, University of Rochester, Rochester, New York, 14627, USA
| | - Xin Wu
- School of Biological Sciences, Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, 30332, USA
| | - Dan Sun
- School of Biological Sciences, Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, 30332, USA
| | - Ellen O Martinson
- Department of Biology, University of Rochester, Rochester, New York, 14627, USA.,Present Address: Department of Entomology, University of Georgia, Athens, Georgia, 30602, USA
| | - Zhichao Yan
- Department of Biology, University of Rochester, Rochester, New York, 14627, USA.,State Key Laboratory of Rice Biology & Ministry of Agriculture Key Laboratory of Agricultural Entomology, Institute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Paul F Rugman-Jones
- Department of Entomology, University of California Riverside, Riverside, California, 92521, USA
| | - Daniel S T Hughes
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Shwetha C Murali
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Jiaxin Qu
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Shannon Dugan
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Sandra L Lee
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Hsu Chao
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Huyen Dinh
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Yi Han
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Harsha Vardhan Doddapaneni
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Kim C Worley
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Donna M Muzny
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Gongyin Ye
- State Key Laboratory of Rice Biology & Ministry of Agriculture Key Laboratory of Agricultural Entomology, Institute of Insect Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Richard A Gibbs
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Stephen Richards
- Human Genome Sequencing Center, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, 77030, USA
| | - Soojin V Yi
- School of Biological Sciences, Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, 30332, USA
| | - Richard Stouthamer
- Department of Entomology, University of California Riverside, Riverside, California, 92521, USA.
| | - John H Werren
- Department of Biology, University of Rochester, Rochester, New York, 14627, USA.
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Lindsey ARI, Kelkar YD, Wu X, Sun D, Martinson EO, Yan Z, Rugman-Jones PF, Hughes DST, Murali SC, Qu J, Dugan S, Lee SL, Chao H, Dinh H, Han Y, Doddapaneni HV, Worley KC, Muzny DM, Ye G, Gibbs RA, Richards S, Yi SV, Stouthamer R, Werren JH. Comparative genomics of the miniature wasp and pest control agent Trichogramma pretiosum. BMC Biol 2018. [DOI: 10.1186/s12915-018-0520-9 10.1186/s12915-018-0520-9 [pii]] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
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28
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Yi SV. Insights into Epigenome Evolution from Animal and Plant Methylomes. Genome Biol Evol 2018; 9:3189-3201. [PMID: 29036466 PMCID: PMC5721340 DOI: 10.1093/gbe/evx203] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/24/2017] [Indexed: 12/14/2022] Open
Abstract
Evolutionary studies of DNA methylation offer insights into the mechanisms governing the variation of genomic DNA methylation across different species. Comparisons of gross levels of DNA methylation between distantly related species indicate that the size of the genome and the level of genomic DNA methylation are positively correlated. In plant genomes, this can be reliably explained by the genomic contents of repetitive sequences. In animal genomes, the role of repetitive sequences on genomic DNA methylation is less clear. On a shorter timescale, population-level comparisons demonstrate that genetic variation can explain the observed variability of DNA methylation to some degree. The amount of DNA methylation variation that has been attributed to genetic variation in the human population studies so far is substantially lower than that from Arabidopsis population studies, but this disparity might reflect the differences in the computational and experimental techniques used. The effect of genetic variation on DNA methylation has been directly examined in mammalian systems, revealing several causative factors that govern DNA methylation. On the other hand, studies from Arabidopsis have furthered our understanding of spontaneous mutations of DNA methylation, termed “epimutations.” Arabidopsis has an extremely high rate of spontaneous epimutations, which may play a major role in shaping the global DNA methylation landscape in this genome. Key missing information includes the frequencies of spontaneous epimutations in other lineages, in particular animal genomes, and how population-level variation of DNA methylation leads to species-level differences.
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Affiliation(s)
- Soojin V Yi
- School of Biological Sciences, Institute of Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia
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29
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Abstract
DNA methylation is a dynamic epigenetic mark that characterizes different cellular developmental stages, including tissue-specific profiles. This CpG dinucleotide modification cooperates in the regulation of the output of the cellular genetic content, in both healthy and pathological conditions. According to endogenous and exogenous stimuli, DNA methylation is involved in gene transcription, alternative splicing, imprinting, X-chromosome inactivation, and control of transposable elements. When these dinucleotides are organized in dense regions are called CpG islands (CGIs), being commonly known as transcriptional regulatory regions frequently associated with the promoter region of several genes. In cancer, promoter DNA hypermethylation events sustained the mechanistic hypothesis of epigenetic transcriptional silencing of an increasing number of tumor suppressor genes. CGI hypomethylation-mediated reactivation of oncogenes was also documented in several cancer types. In this chapter, we aim to summarize the functional consequences of the differential DNA methylation at CpG dinucleotides in cancer, focused in CGIs. Interestingly, cancer methylome is being recently explored, looking for biomarkers for diagnosis, prognosis, and predictors of drug response.
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Affiliation(s)
- Humberto J Ferreira
- Cancer Epigenetics and Biology Program (PEBC), Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Catalonia, Spain
| | - Manel Esteller
- Cancer Epigenetics and Biology Program (PEBC), Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Catalonia, Spain.
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Catalonia, Spain.
- Department of Physiological Sciences II, School of Medicine, University of Barcelona, Barcelona, Catalonia, Spain.
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Radhakrishnan S, Literman R, Mizoguchi B, Valenzuela N. MeDIP-seq and nCpG analyses illuminate sexually dimorphic methylation of gonadal development genes with high historic methylation in turtle hatchlings with temperature-dependent sex determination. Epigenetics Chromatin 2017; 10:28. [PMID: 28533820 PMCID: PMC5438563 DOI: 10.1186/s13072-017-0136-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Accepted: 05/12/2017] [Indexed: 12/15/2022] Open
Abstract
Background DNA methylation alters gene expression but not DNA sequence and mediates some cases of phenotypic plasticity. Temperature-dependent sex determination (TSD) epitomizes phenotypic plasticity where environmental temperature drives embryonic sexual fate, as occurs commonly in turtles. Importantly, the temperature-specific transcription of two genes underlying gonadal differentiation is known to be induced by differential methylation in TSD fish, turtle and alligator. Yet, how extensive is the link between DNA methylation and TSD remains unclear. Here we test for broad differences in genome-wide DNA methylation between male and female hatchling gonads of the TSD painted turtle Chrysemys picta using methyl DNA immunoprecipitation sequencing, to identify differentially methylated candidates for future study. We also examine the genome-wide nCpG distribution (which affects DNA methylation) in painted turtles and test for historic methylation in genes regulating vertebrate gonadogenesis. Results Turtle global methylation was consistent with other vertebrates (57% of the genome, 78% of all CpG dinucleotides). Numerous genes predicted to regulate turtle gonadogenesis exhibited sex-specific methylation and were proximal to methylated repeats. nCpG distribution predicted actual turtle DNA methylation and was bimodal in gene promoters (as other vertebrates) and introns (unlike other vertebrates). Differentially methylated genes, including regulators of sexual development, had lower nCpG content indicative of higher historic methylation. Conclusions Ours is the first evidence suggesting that sexually dimorphic DNA methylation is pervasive in turtle gonads (perhaps mediated by repeat methylation) and that it targets numerous regulators of gonadal development, consistent with the hypothesis that it may regulate thermosensitive transcription in TSD vertebrates. However, further research during embryogenesis will help test this hypothesis and the alternative that instead, most differential methylation observed in hatchlings is the by-product of sexual differentiation and not its cause. Electronic supplementary material The online version of this article (doi:10.1186/s13072-017-0136-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Srihari Radhakrishnan
- Bioinformatics and Computational Biology Program, Iowa State University, Ames, IA 50011 USA.,Department of Ecology, Evolution and Organismal Biology, Iowa State University, 251 Bessey Hall, Ames, IA 50011 USA
| | - Robert Literman
- Ecology and Evolutionary Biology Program, Iowa State University, Ames, IA 50011 USA.,Department of Ecology, Evolution and Organismal Biology, Iowa State University, 251 Bessey Hall, Ames, IA 50011 USA
| | - Beatriz Mizoguchi
- Interdepartmental Genetics and Genomics Program, Iowa State University, Ames, IA 50011 USA.,Department of Ecology, Evolution and Organismal Biology, Iowa State University, 251 Bessey Hall, Ames, IA 50011 USA
| | - Nicole Valenzuela
- Department of Ecology, Evolution and Organismal Biology, Iowa State University, 251 Bessey Hall, Ames, IA 50011 USA
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31
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Tamagawa K, Makino T, Kawata M. The Effects of CpG Densities around Transcription Start Sites on Sex-Biased Gene Expression in Poecilia reticulata. Genome Biol Evol 2017; 9:1204-1211. [PMID: 28453630 PMCID: PMC5554587 DOI: 10.1093/gbe/evx083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/25/2017] [Indexed: 11/14/2022] Open
Abstract
As most genes are shared between females and males, DNA methylation is assumed to play a crucial role in sex-biased gene expression. DNA methylation exclusively occurs at CpG dinucleotides, and therefore, we would expect that CpG density around transcription start sites (TSSs) relate to sex-biased gene expression. Here we investigated the relationship between CpG densities around TSSs and the ratio of gene expression levels between sexes in the guppy (Poecilia reticulata), which displays remarkable sexual dimorphisms. We found that genes with sex-biased gene expression had different CpG densities downstream of TSSs compared with genes lacking sex-biased gene expression. Intriguingly, male-biased expression genes with intermediate CpG density downstream of TSSs exhibited greater differences in gene expression between sexes in the gonad and tail. Our findings suggested the possibility that CpGs around TSSs, especially in the downstream regions, play a crucial role in sex-biased gene expression through DNA methylation.
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Affiliation(s)
- Katsunori Tamagawa
- Department of Ecology and Evolutionary Biology, Graduate School of Life Sciences, Tohoku University, Aoba-ku, Sendai, Japan
| | - Takashi Makino
- Department of Ecology and Evolutionary Biology, Graduate School of Life Sciences, Tohoku University, Aoba-ku, Sendai, Japan
| | - Masakado Kawata
- Department of Ecology and Evolutionary Biology, Graduate School of Life Sciences, Tohoku University, Aoba-ku, Sendai, Japan
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32
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Sarda S, Das A, Vinson C, Hannenhalli S. Distal CpG islands can serve as alternative promoters to transcribe genes with silenced proximal promoters. Genome Res 2017; 27:553-566. [PMID: 28223400 PMCID: PMC5378174 DOI: 10.1101/gr.212050.116] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Accepted: 02/21/2017] [Indexed: 12/31/2022]
Abstract
DNA methylation at the promoter of a gene is presumed to render it silent, yet a sizable fraction of genes with methylated proximal promoters exhibit elevated expression. Here, we show, through extensive analysis of the methylome and transcriptome in 34 tissues, that in many such cases, transcription is initiated by a distal upstream CpG island (CGI) located several kilobases away that functions as an alternative promoter. Specifically, such genes are expressed precisely when the neighboring CGI is unmethylated but remain silenced otherwise. Based on CAGE and Pol II localization data, we found strong evidence of transcription initiation at the upstream CGI and a lack thereof at the methylated proximal promoter itself. Consistent with their alternative promoter activity, CGI-initiated transcripts are associated with signals of stable elongation and splicing that extend into the gene body, as evidenced by tissue-specific RNA-seq and other DNA-encoded splice signals. Furthermore, based on both inter- and intra-species analyses, such CGIs were found to be under greater purifying selection relative to CGIs upstream of silenced genes. Overall, our study describes a hitherto unreported conserved mechanism of transcription of genes with methylated proximal promoters in a tissue-specific fashion. Importantly, this phenomenon explains the aberrant expression patterns of some cancer driver genes, potentially due to aberrant hypomethylation of distal CGIs, despite methylation at proximal promoters.
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Affiliation(s)
- Shrutii Sarda
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742, USA
| | - Avinash Das
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742, USA
| | - Charles Vinson
- Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland 20892, USA
| | - Sridhar Hannenhalli
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742, USA
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33
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Chatterjee A, Rodger EJ, Stockwell PA, Le Mée G, Morison IM. Generating Multiple Base-Resolution DNA Methylomes Using Reduced Representation Bisulfite Sequencing. Methods Mol Biol 2017; 1537:279-298. [PMID: 27924600 DOI: 10.1007/978-1-4939-6685-1_16] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Reduced representation bisulfite sequencing (RRBS) is an effective technique for profiling genome-wide DNA methylation patterns in eukaryotes. RRBS couples size selection, bisulfite conversion, and second-generation sequencing to enrich for CpG-dense regions of the genome. The progressive improvement of second-generation sequencing technologies and reduction in cost provided an opportunity to examine the DNA methylation patterns of multiple genomes. Here, we describe a protocol for sequencing multiple RRBS libraries in a single sequencing reaction to generate base-resolution methylomes. Furthermore, we provide a brief guideline for base-calling and data analysis of multiplexed RRBS libraries. These strategies will be useful to perform large-scale, genome-wide DNA methylation analysis.
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Affiliation(s)
- Aniruddha Chatterjee
- Department of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, P.O. Box 56, Dunedin, 9054, New Zealand.
- Gravida: National Centre for Growth and Development, University of Auckland, 85 Park Road, Grafton, Auckland, New Zealand.
| | - Euan J Rodger
- Department of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, P.O. Box 56, Dunedin, 9054, New Zealand
| | - Peter A Stockwell
- Department of Biochemistry, University of Otago, 710 Cumberland Street, Dunedin, 9054, New Zealand
| | - Gwenn Le Mée
- Department of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, P.O. Box 56, Dunedin, 9054, New Zealand
| | - Ian M Morison
- Department of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, P.O. Box 56, Dunedin, 9054, New Zealand.
- Gravida: National Centre for Growth and Development, University of Auckland, 85 Park Road, Grafton, Auckland, New Zealand.
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Improved Prediction of Non-methylated Islands in Vertebrates Highlights Different Characteristic Sequence Patterns. PLoS Comput Biol 2016; 12:e1005249. [PMID: 27984582 PMCID: PMC5161304 DOI: 10.1371/journal.pcbi.1005249] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Accepted: 11/16/2016] [Indexed: 12/19/2022] Open
Abstract
Non-methylated islands (NMIs) of DNA are genomic regions that are important for gene regulation and development. A recent study of genome-wide non-methylation data in vertebrates by Long et al. (eLife 2013;2:e00348) has shown that many experimentally identified non-methylated regions do not overlap with classically defined CpG islands which are computationally predicted using simple DNA sequence features. This is especially true in cold-blooded vertebrates such as Danio rerio (zebrafish). In order to investigate how predictive DNA sequence is of a region’s methylation status, we applied a supervised learning approach using a spectrum kernel support vector machine, to see if a more complex model and supervised learning can be used to improve non-methylated island prediction and to understand the sequence properties of these regions. We demonstrate that DNA sequence is highly predictive of methylation status, and that in contrast to existing CpG island prediction methods our method is able to provide more useful predictions of NMIs genome-wide in all vertebrate organisms that were studied. Our results also show that in cold-blooded vertebrates (Anolis carolinensis, Xenopus tropicalis and Danio rerio) where genome-wide classical CpG island predictions consist primarily of false positives, longer primarily AT-rich DNA sequence features are able to identify these regions much more accurately. DNA methylation is one of the most heavily studied epigenetic modifications, with active research into the topic taking place for over 30 years. Over that time a relationship between non-methylated stretches of genomic DNA and the regulation of nearby genes has been identified, and it was noted that approximately half of all human genes have an unexpectedly high number of unmethylated CpG dinucleotides in their promoters. Nevertheless, until relatively recently we haven’t been able to directly measure methylation gnome-wide, leading to the widespread use of CpG-rich regions (or CpG Islands) as a proxy for unmethylated genomic regions. Fortunately, recently developed experiments finally allow us to look at DNA methylation genome-wide, and have shown that CpG islands do not overlap true non-methylated islands to the extent we would have hoped, especially in cold-blooded vertebrates. We show that by using these experimentally determined non-methylated regions as training data, we are able to improve the prediction of non-methylated regions genome-wide in comparison to classical CpG island prediction methods, in both warm-blooded and cold-blooded vertebrates. Additionally, we show that while CpG content is an important predictor of methylation status in warm-blooded vertebrates, in cold-blooded vertebrates higher predictive accuracy can be achieved using longer stretches of relatively AT-rich DNA sequence.
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Divergent DNA Methylation Provides Insights into the Evolution of Duplicate Genes in Zebrafish. G3-GENES GENOMES GENETICS 2016; 6:3581-3591. [PMID: 27646705 PMCID: PMC5100857 DOI: 10.1534/g3.116.032243] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The evolutionary mechanism, fate and function of duplicate genes in various taxa have been widely studied; however, the mechanism underlying the maintenance and divergence of duplicate genes in Danio rerio remains largely unexplored. Whether and how the divergence of DNA methylation between duplicate pairs is associated with gene expression and evolutionary time are poorly understood. In this study, by analyzing bisulfite sequencing (BS-seq) and RNA-seq datasets from public data, we demonstrated that DNA methylation played a critical role in duplicate gene evolution in zebrafish. Initially, we found promoter methylation of duplicate genes generally decreased with evolutionary time as measured by synonymous substitution rate between paralogous duplicates (Ks). Importantly, promoter methylation of duplicate genes was negatively correlated with gene expression. Interestingly, for 665 duplicate gene pairs, one gene was consistently promoter methylated, while the other was unmethylated across nine different datasets we studied. Moreover, one motif enriched in promoter methylated duplicate genes tended to be bound by the transcription repression factor FOXD3, whereas a motif enriched in the promoter unmethylated sequences interacted with the transcription activator Sp1, indicating a complex interaction between the genomic environment and epigenome. Besides, body-methylated genes showed longer length than body-unmethylated genes. Overall, our results suggest that DNA methylation is highly important in the differential expression and evolution of duplicate genes in zebrafish.
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36
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The EpiTect Methyl qPCR Assay as novel age estimation method in forensic biology. Forensic Sci Int 2016; 264:132-8. [DOI: 10.1016/j.forsciint.2016.03.047] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2015] [Revised: 03/15/2016] [Accepted: 03/25/2016] [Indexed: 12/21/2022]
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37
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Kesäniemi JE, Heikkinen L, Knott KE. DNA Methylation and Potential for Epigenetic Regulation in Pygospio elegans. PLoS One 2016; 11:e0151863. [PMID: 27008314 PMCID: PMC4805255 DOI: 10.1371/journal.pone.0151863] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 03/04/2016] [Indexed: 01/24/2023] Open
Abstract
Transitions in developmental mode are common evolutionarily, but how and why they occur is not understood. Developmental mode describes larval phenotypes, including morphology, ecology and behavior of larvae, which typically are generalized across different species. The polychaete worm Pygospio elegans is one of few species polymorphic in developmental mode, with multiple larval phenotypes, providing a possibility to examine the potential mechanisms allowing transitions in developmental mode. We investigated the presence of DNA methylation in P. elegans, and, since maternal provisioning is a key factor determining eventual larval phenotype, we compared patterns of DNA methylation in females during oogenesis in this species. We demonstrate that intragenic CpG site DNA methylation and many relevant genes necessary for DNA methylation occur in P. elegans. Methylation-sensitive AFLP analysis showed that gravid females with offspring differing in larval developmental mode have significantly different methylation profiles and that the females with benthic larvae and non-reproductive females from the same location also differ in their epigenetic profiles. Analysis of CpG sites in transcriptome data supported our findings of DNA methylation in this species and showed that CpG observed/expected ratios differ among females gravid with embryos destined to different developmental modes. The differences in CpG site DNA methylation patterns seen among the samples suggest a potential for epigenetic regulation of gene expression (through DNA methylation) in this species.
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Affiliation(s)
- Jenni E. Kesäniemi
- Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland
- * E-mail:
| | - Liisa Heikkinen
- Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland
| | - K. Emily Knott
- Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland
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38
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Chatterjee A, Stockwell PA, Rodger EJ, Morison IM. Genome-scale DNA methylome and transcriptome profiling of human neutrophils. Sci Data 2016; 3:160019. [PMID: 26978482 PMCID: PMC4792177 DOI: 10.1038/sdata.2016.19] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Accepted: 02/11/2016] [Indexed: 12/29/2022] Open
Abstract
Methylation of DNA molecules is a key mechanism associated with human disease, altered gene expression and phenotype. Using reduced representation bisulphite sequencing (RRBS) technology we have analysed DNA methylation patterns in healthy individuals and identified genes showing significant inter-individual variation. Further, using whole genome transcriptome analysis (RNA-Seq) on the same individuals we showed a local and specific relationship of exon inclusion and variable DNA methylation pattern. For RRBS, 363 million, 100-bp reads were generated from 13 samples using Illumina GAII and HiSeq2000 platforms. Here we also present additional RRBS data for a female pair of monozygotic twins that was not described in our original publication. Further, We performed RNA-Seq on four of these individuals, generating 174 million, 51-bp high quality reads on an Illumina HiSeq2000 platform. The current data set could be exploited as a comprehensive resource for understanding the nature and mechanism of variable phenotypic traits and altered disease susceptibility due to variable DNA methylation and gene expression patterns in healthy individuals.
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Affiliation(s)
- Aniruddha Chatterjee
- Department of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, Dunedin 9054, New Zealand.,Maurice Wilkins Centre for Molecular Biodiscovery, Level 2, 3A Symonds Street, Auckland 1010, New Zealand
| | - Peter A Stockwell
- Department of Biochemistry, University of Otago, 710 Cumberland Street, Dunedin 9054, New Zealand
| | - Euan J Rodger
- Department of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, Dunedin 9054, New Zealand
| | - Ian M Morison
- Department of Pathology, Dunedin School of Medicine, University of Otago, 270 Great King Street, Dunedin 9054, New Zealand
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39
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Profiling the genome-wide DNA methylation pattern of porcine ovaries using reduced representation bisulfite sequencing. Sci Rep 2016; 6:22138. [PMID: 26912189 PMCID: PMC4766444 DOI: 10.1038/srep22138] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Accepted: 02/08/2016] [Indexed: 12/16/2022] Open
Abstract
Substantial evidence has shown that DNA methylation regulates the initiation of ovarian and sexual maturation. Here, we investigated the genome-wide profile of DNA methylation in porcine ovaries at single-base resolution using reduced representation bisulfite sequencing. The biological variation was minimal among the three ovarian replicates. We found hypermethylation frequently occurred in regions with low gene abundance, while hypomethylation in regions with high gene abundance. The DNA methylation around transcriptional start sites was negatively correlated with their own CpG content. Additionally, the methylation level in the bodies of genes was higher than that in their 5′ and 3′ flanking regions. The DNA methylation pattern of the low CpG content promoter genes differed obviously from that of the high CpG content promoter genes. The DNA methylation level of the porcine ovary was higher than that of the porcine intestine. Analyses of the genome-wide DNA methylation in porcine ovaries would advance the knowledge and understanding of the porcine ovarian methylome.
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Keller TE, Han P, Yi SV. Evolutionary Transition of Promoter and Gene Body DNA Methylation across Invertebrate-Vertebrate Boundary. Mol Biol Evol 2015; 33:1019-28. [PMID: 26715626 PMCID: PMC4776710 DOI: 10.1093/molbev/msv345] [Citation(s) in RCA: 84] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Genomes of invertebrates and vertebrates exhibit highly divergent patterns of DNA methylation. Invertebrate genomes tend to be sparsely methylated, and DNA methylation is mostly targeted to a subset of transcription units (gene bodies). In a drastic contrast, vertebrate genomes are generally globally and heavily methylated, punctuated by the limited local hypo-methylation of putative regulatory regions such as promoters. These genomic differences also translate into functional differences in DNA methylation and gene regulation. Although promoter DNA methylation is an important regulatory component of vertebrate gene expression, its role in invertebrate gene regulation has been little explored. Instead, gene body DNA methylation is associated with expression of invertebrate genes. However, the evolutionary steps leading to the differentiation of invertebrate and vertebrate genomic DNA methylation remain unresolved. Here we analyzed experimentally determined DNA methylation maps of several species across the invertebrate–vertebrate boundary, to elucidate how vertebrate gene methylation has evolved. We show that, in contrast to the prevailing idea, a substantial number of promoters in an invertebrate basal chordate Ciona intestinalis are methylated. Moreover, gene expression data indicate significant, epigenomic context-dependent associations between promoter methylation and expression in C. intestinalis. However, there is no evidence that promoter methylation in invertebrate chordate has been evolutionarily maintained across the invertebrate–vertebrate boundary. Rather, body-methylated invertebrate genes preferentially obtain hypo-methylated promoters among vertebrates. Conversely, promoter methylation is preferentially found in lineage- and tissue-specific vertebrate genes. These results provide important insights into the evolutionary origin of epigenetic regulation of vertebrate gene expression.
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Affiliation(s)
| | | | - Soojin V Yi
- School of Biology, Georgia Institute of Technology
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Genome-wide DNA methylation map of human neutrophils reveals widespread inter-individual epigenetic variation. Sci Rep 2015; 5:17328. [PMID: 26612583 PMCID: PMC4661471 DOI: 10.1038/srep17328] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2015] [Accepted: 10/29/2015] [Indexed: 11/13/2022] Open
Abstract
The extent of variation in DNA methylation patterns in healthy individuals is not yet well documented. Identification of inter-individual epigenetic variation is important for understanding phenotypic variation and disease susceptibility. Using neutrophils from a cohort of healthy individuals, we generated base-resolution DNA methylation maps to document inter-individual epigenetic variation. We identified 12851 autosomal inter-individual variably methylated fragments (iVMFs). Gene promoters were the least variable, whereas gene body and upstream regions showed higher variation in DNA methylation. The iVMFs were relatively enriched in repetitive elements compared to non-iVMFs, and were associated with genome regulation and chromatin function elements. Further, variably methylated genes were disproportionately associated with regulation of transcription, responsive function and signal transduction pathways. Transcriptome analysis indicates that iVMF methylation at differentially expressed exons has a positive correlation and local effect on the inclusion of that exon in the mRNA transcript.
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Mendizabal I, Yi SV. Whole-genome bisulfite sequencing maps from multiple human tissues reveal novel CpG islands associated with tissue-specific regulation. Hum Mol Genet 2015; 25:69-82. [PMID: 26512062 PMCID: PMC4690492 DOI: 10.1093/hmg/ddv449] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2015] [Accepted: 10/21/2015] [Indexed: 01/25/2023] Open
Abstract
CpG islands (CGIs) are one of the most widely studied regulatory features of the human genome, with critical roles in development and disease. Despite such significance and the original epigenetic definition, currently used CGI sets are typically predicted from DNA sequence characteristics. Although CGIs are deeply implicated in practical analyses of DNA methylation, recent studies have shown that such computational annotations suffer from inaccuracies. Here we used whole-genome bisulfite sequencing from 10 diverse human tissues to identify a comprehensive, experimentally obtained, single-base resolution CGI catalog. In addition to the unparalleled annotation precision, our method is free from potential bias due to arbitrary sequence features or probe affinity differences. In addition to clarifying substantial false positives in the widely used University of California Santa Cruz (UCSC) annotations, our study identifies numerous novel epigenetic loci. In particular, we reveal significant impact of transposable elements on the epigenetic regulatory landscape of the human genome and demonstrate ubiquitous presence of transcription initiation at CGIs, including alternative promoters in gene bodies and non-coding RNAs in intergenic regions. Moreover, coordinated DNA methylation and chromatin modifications mark tissue-specific enhancers at novel CGIs. Enrichment of specific transcription factor binding from ChIP-seq supports mechanistic roles of CGIs on the regulation of tissue-specific transcription. The new CGI catalog provides a comprehensive and integrated list of genomic hotspots of epigenetic regulation.
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Affiliation(s)
- Isabel Mendizabal
- School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA and Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Barrio Sarriena s/n, 48940 Leioa, Spain
| | - Soojin V Yi
- School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA and
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Choi M, Lee J, Le MT, Nguyen DT, Park S, Soundrarajan N, Schachtschneider KM, Kim J, Park JK, Kim JH, Park C. Genome-wide analysis of DNA methylation in pigs using reduced representation bisulfite sequencing. DNA Res 2015; 22:343-55. [PMID: 26358297 PMCID: PMC4596400 DOI: 10.1093/dnares/dsv017] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2015] [Accepted: 07/31/2015] [Indexed: 01/15/2023] Open
Abstract
DNA methylation plays a major role in the epigenetic regulation of gene expression. Although a few DNA methylation profiling studies of porcine genome which is one of the important biomedical models for human diseases have been reported, the available data are still limited. We tried to study methylation patterns of diverse pig tissues as a study of the International Swine Methylome Consortium to generate the swine reference methylome map to extensively evaluate the methylation profile of the pig genome at a single base resolution. We generated and analysed the DNA methylome profiles of five different tissues and a cell line originated from pig. On average, 39.85 and 62.1% of cytosine and guanine dinucleotides (CpGs) of CpG islands and 2 kb upstream of transcription start sites were covered, respectively. We detected a low rate (an average of 1.67%) of non-CpG methylation in the six samples except for the neocortex (2.3%). The observed global CpG methylation patterns of pigs indicated high similarity to other mammals including humans. The percentage of CpG methylation associated with gene features was similar among the tissues but not for a 3D4/2 cell line. Our results provide essential information for future studies of the porcine epigenome.
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Affiliation(s)
- Minkyeung Choi
- Department of Animal Biotechnology, Konkuk University, Kwangjin-gu, Seoul 143-701, Korea
| | - Jongin Lee
- Department of Animal Biotechnology, Konkuk University, Kwangjin-gu, Seoul 143-701, Korea
| | - Min Thong Le
- Department of Animal Biotechnology, Konkuk University, Kwangjin-gu, Seoul 143-701, Korea
| | - Dinh Truong Nguyen
- Department of Animal Biotechnology, Konkuk University, Kwangjin-gu, Seoul 143-701, Korea
| | - Suhyun Park
- Department of Animal Biotechnology, Konkuk University, Kwangjin-gu, Seoul 143-701, Korea
| | | | - Kyle M Schachtschneider
- Department of Animal Sciences, University of Illinois, Urbana, IL, USA Animal Breeding and Genomics Center, Wageningen University, Wageningen, The Netherlands
| | - Jaebum Kim
- Department of Animal Biotechnology, Konkuk University, Kwangjin-gu, Seoul 143-701, Korea
| | - Jin-Ki Park
- Animal Biotechnology Division, National Institute of Animal Science, Suwon, Korea
| | - Jin-Hoi Kim
- Department of Animal Biotechnology, Konkuk University, Kwangjin-gu, Seoul 143-701, Korea
| | - Chankyu Park
- Department of Animal Biotechnology, Konkuk University, Kwangjin-gu, Seoul 143-701, Korea
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Saint-Carlier E, Riviere G. Regulation of Hox orthologues in the oyster Crassostrea gigas evidences a functional role for promoter DNA methylation in an invertebrate. FEBS Lett 2015; 589:1459-66. [PMID: 25943713 DOI: 10.1016/j.febslet.2015.04.043] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2015] [Revised: 04/11/2015] [Accepted: 04/20/2015] [Indexed: 11/28/2022]
Abstract
DNA methylation within promoter regions (PRDM) controls vertebrate early gene transcription and thereby development, but is neglected outside this group. However, epigenetic features in the oyster Crassostrea gigas suggest functional significance of PDRM in invertebrates. To investigate this, reporter constructs containing in vitro methylated oyster Hox gene promoters were transfected into oyster embryos. The influence of in vivo methylation was studied using bisulfite sequencing and DNA methyltransferase inhibition during development. Our results demonstrate that methylation controls the transcriptional activity of the promoters investigated, unraveling a functional role for PRDM in a lophotrochozoan, an important finding regarding the evolution of epigenetic regulation.
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Affiliation(s)
- Emma Saint-Carlier
- IBFA, Institute for Fundamental and Applied Biology, University of Caen, Caen, France; UMR BOREA 'Biologie des organismes et écosystèmes aquatiques' Université de Caen Basse-Normandie, CNRS-7208, IRD-207, MNHN, UPMC, UCBN, UAG, F-14032 Caen, France
| | - Guillaume Riviere
- IBFA, Institute for Fundamental and Applied Biology, University of Caen, Caen, France; UMR BOREA 'Biologie des organismes et écosystèmes aquatiques' Université de Caen Basse-Normandie, CNRS-7208, IRD-207, MNHN, UPMC, UCBN, UAG, F-14032 Caen, France.
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Giuliani C, Bacalini MG, Sazzini M, Pirazzini C, Franceschi C, Garagnani P, Luiselli D. The epigenetic side of human adaptation: hypotheses, evidences and theories. Ann Hum Biol 2014; 42:1-9. [PMID: 25413580 DOI: 10.3109/03014460.2014.961960] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
CONTEXT Epigenetics represents a still unexplored research field in the understanding of micro- and macro-evolutionary mechanisms, as epigenetic changes create phenotypic diversity within both individuals and populations. OBJECTIVE The purpose of this review is to dissect the landscape of studies focused on DNA methylation, one of the most described epigenetic mechanisms, emphasizing the aspects that could be relevant in human adaptations. METHODS Theories and results here considered were collected from the most recent papers published. RESULTS The matter of DNA methylation inheritance is here described as well as the recent evolutionary theories regarding the role of DNA methylation-and epigenetics in a broader sense-in human evolution. The complex relation between (1) DNA methylation and genetic variability and (2) DNA methylation and the environmental stimuli crucial in shaping genetic and phenotypic variability through the human lineage-such as diet, climate and pathogens exposure-are described. Papers about population epigenetics are also illustrated due to their high relevance in this context. CONCLUSION Genetic, epigenetic and phenotypic variations of the species, together with cultural ones, are considerably shaped by a vast range of environmental stimuli, thus representing the foundation of all human bio-cultural adaptations.
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Affiliation(s)
- Cristina Giuliani
- Department of Biological, Geological and Environmental Sciences, Laboratory of Molecular Anthropology and Centre for Genome Biology
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Abstract
Long non-coding RNAs (lncRNAs) are series of transcripts with important biological functions. Various diseases have been associated with aberrant expression of lncRNAs and the related dysregulation of mRNAs. In this review, we highlight the mechanisms of dynamic lncRNA expression. The chromatin state contributes to the low and specific expression of lncRNAs. The transcription of non-coding RNA genes is regulated by many core transcription factors applied to protein-coding genes. However, specific DNA sequences may allow their unsynchronized transcription with their location-associated mRNAs. Additionally, there are multiple mechanisms involved in the post-transcriptional regulation of lncRNAs. Among these, microRNAs might have indispensible regulatory effects on lncRNAs, based on recent discoveries.
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Dheilly NM, Adema C, Raftos DA, Gourbal B, Grunau C, Du Pasquier L. No more non-model species: the promise of next generation sequencing for comparative immunology. DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY 2014; 45:56-66. [PMID: 24508980 PMCID: PMC4096995 DOI: 10.1016/j.dci.2014.01.022] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2013] [Revised: 01/20/2014] [Accepted: 01/21/2014] [Indexed: 05/21/2023]
Abstract
Next generation sequencing (NGS) allows for the rapid, comprehensive and cost effective analysis of entire genomes and transcriptomes. NGS provides approaches for immune response gene discovery, profiling gene expression over the course of parasitosis, studying mechanisms of diversification of immune receptors and investigating the role of epigenetic mechanisms in regulating immune gene expression and/or diversification. NGS will allow meaningful comparisons to be made between organisms from different taxa in an effort to understand the selection of diverse strategies for host defence under different environmental pathogen pressures. At the same time, it will reveal the shared and unique components of the immunological toolkit and basic functional aspects that are essential for immune defence throughout the living world. In this review, we argue that NGS will revolutionize our understanding of immune responses throughout the animal kingdom because the depth of information it provides will circumvent the need to concentrate on a few "model" species.
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Affiliation(s)
- Nolwenn M Dheilly
- CNRS, UMR 5244, Ecologie et Evolution des Interactions (2EI), Perpignan F-66860, France; Université de Perpignan Via Domitia, Perpignan F-66860, France.
| | - Coen Adema
- Center for Evolutionary and Theoretical Immunology, Biology Department, University of New Mexico, Albuquerque, NM 87131, USA
| | - David A Raftos
- Department of Biological Sciences, Macquarie University, North Ryde, NSW 2109, Australia
| | - Benjamin Gourbal
- CNRS, UMR 5244, Ecologie et Evolution des Interactions (2EI), Perpignan F-66860, France; Université de Perpignan Via Domitia, Perpignan F-66860, France
| | - Christoph Grunau
- CNRS, UMR 5244, Ecologie et Evolution des Interactions (2EI), Perpignan F-66860, France; Université de Perpignan Via Domitia, Perpignan F-66860, France
| | - Louis Du Pasquier
- University of Basel, Institute of Zoology and Evolutionary Biology, Basel, Switzerland
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Abstract
Epigenetic mechanisms traditionally have been studied in the domains of development and disease, but they may also play important roles in ecological and evolutionary processes. In this article, we revisit historical as well as recent studies that indicate significant impacts of epigenetic processes on evolution. Our main focus is DNA methylation, which is a prevalent chemical modification of genomic DNA. First, it has been long known that DNA methylation acts as a major mutational facilitator in animal genomes and influences nucleotide compositions of genomes. More recently, genome-wide analyses have demonstrated that the current levels of DNA methylation can be predicted from the evolutionary signatures of DNA methylation, indicating that these two processes are intimately correlated. Indeed, the recent explosive growth in the knowledge of genomic DNA methylation in wide-ranging taxa has revealed that patterns of DNA methylation are surprisingly conserved across deep phylogenies. Interestingly, comparative analyses of humans and closely related primate species show that genomic regions that do show evolutionary divergence of DNA methylation are enriched for developmental and tissue specializations. A key question is how epigenetic patterns transmit between generations and impact evolutionary dynamics. On the one hand, some studies report direct transmissions of epigenetic features to the next generation. On the other hand, it is becoming clear that genomic sequence variants exist that encode and presumably regulate distinctive epigenetic patterns. For instance, numerous single-nucleotide polymorphisms that affect DNA-methylation patterns have been discovered in human populations. These studies begin to unveil a dynamic interplay between genomic and epigenomic factors across long and short evolutionary timescales.
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Affiliation(s)
- I Mendizabal
- School of Biology, Georgia Institute of Technology, 310 Ferst Drive, Atlanta, GA 30332, USA Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Barrio Sarriena s/n, 48940 Leioa, SpainSchool of Biology, Georgia Institute of Technology, 310 Ferst Drive, Atlanta, GA 30332, USA Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Barrio Sarriena s/n, 48940 Leioa, Spain
| | - T E Keller
- School of Biology, Georgia Institute of Technology, 310 Ferst Drive, Atlanta, GA 30332, USA Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Barrio Sarriena s/n, 48940 Leioa, Spain
| | - J Zeng
- School of Biology, Georgia Institute of Technology, 310 Ferst Drive, Atlanta, GA 30332, USA Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Barrio Sarriena s/n, 48940 Leioa, Spain
| | - Soojin V Yi
- School of Biology, Georgia Institute of Technology, 310 Ferst Drive, Atlanta, GA 30332, USA Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Barrio Sarriena s/n, 48940 Leioa, Spain
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Rivière G. Epigenetic features in the oyster Crassostrea gigas suggestive of functionally relevant promoter DNA methylation in invertebrates. Front Physiol 2014; 5:129. [PMID: 24778620 PMCID: PMC3985014 DOI: 10.3389/fphys.2014.00129] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2013] [Accepted: 03/14/2014] [Indexed: 12/22/2022] Open
Abstract
DNA methylation is evolutionarily conserved. Vertebrates exhibit high, widespread DNA methylation whereas invertebrate genomes are less methylated, predominantly within gene bodies. DNA methylation in invertebrates is associated with transcription level, alternative splicing, and genome evolution, but functional outcomes of DNA methylation remain poorly described in lophotrochozoans. Recent genome-wide approaches improve understanding in distant taxa such as molluscs, where the phylogenetic position, and life traits of Crassostrea gigas make this bivalve an ideal model to study the physiological and evolutionary implications of DNA methylation. We review the literature about DNA methylation in invertebrates and focus on DNA methylation features in the oyster. Indeed, though our MeDIP-seq results confirm predominant intragenic methylation, the profiles depend on the oyster's developmental and reproductive stage. We discuss the perspective that oyster DNA methylation could be biased toward the 5'-end of some genes, depending on physiological status, suggesting important functional outcomes of putative promoter methylation from cell differentiation during early development to sustained adaptation of the species to the environment.
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Affiliation(s)
- Guillaume Rivière
- Institute for Fundamental and Applied Biology, Normandy UniversityCaen, France
- UMR BOREA ‘Biologie des Organismes et Ecosystèmes Aquatiques’ Université de Caen Basse-Normandie, MNHN, UPMC, CNRS-7208, IRD-207Caen, France
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Abstract
The epigenetic mark of DNA methylation, the addition of a methyl (CH3) group to a cytosine residue, has been extensively studied in many mammalian genomes and, although it is commonly found at the promoter regions of genes, it is also involved in a number of different biological functions. In other complex animals, such as social insects, DNA methylation has been determined to be involved in caste differentiation and to occur primarily in gene bodies. The role of methylation in nonsocial insects, however, has not yet been explored thoroughly. Here, we present the whole-genome DNA methylation profile of the nonsocial hymenopteran, the jewel wasp (Nasonia vitripennis). From high-throughput sequencing of bisulfite-converted gDNA extracted from male Nasonia thoraces, we were able to determine which cytosine residues are methylated in the entire genome. We found that an overwhelming majority of methylated sites (99.7%) occur at cytosines followed by a guanine in the 3' direction (CpG sites). Additionally, we found that a majority of methylation in Nasonia occurs within exonic regions of the genome (more than 62%). Overall, methylation is sparse in Nasonia, occurring only at 0.18% of all sites and at 0.63% of CpGs. Our analysis of the Nasonia methylome revealed that in contrast to the methylation profile typically seen in mammals, methylation is sparse and is constrained primarily to exons. This methylation profile is more similar to that of the social hymenopteran species, the honey bee (Apis mellifera). In presenting the Nasonia methylome, we hope to promote future investigation of the regulatory function of DNA methylation in both social and nonsocial hymenoptera.
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