1
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Watson AR, Füssel J, Veseli I, DeLongchamp JZ, Silva M, Trigodet F, Lolans K, Shaiber A, Fogarty E, Runde JM, Quince C, Yu MK, Söylev A, Morrison HG, Lee STM, Kao D, Rubin DT, Jabri B, Louie T, Eren AM. Metabolic independence drives gut microbial colonization and resilience in health and disease. Genome Biol 2023; 24:78. [PMID: 37069665 PMCID: PMC10108530 DOI: 10.1186/s13059-023-02924-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 04/07/2023] [Indexed: 04/19/2023] Open
Abstract
BACKGROUND Changes in microbial community composition as a function of human health and disease states have sparked remarkable interest in the human gut microbiome. However, establishing reproducible insights into the determinants of microbial succession in disease has been a formidable challenge. RESULTS Here we use fecal microbiota transplantation (FMT) as an in natura experimental model to investigate the association between metabolic independence and resilience in stressed gut environments. Our genome-resolved metagenomics survey suggests that FMT serves as an environmental filter that favors populations with higher metabolic independence, the genomes of which encode complete metabolic modules to synthesize critical metabolites, including amino acids, nucleotides, and vitamins. Interestingly, we observe higher completion of the same biosynthetic pathways in microbes enriched in IBD patients. CONCLUSIONS These observations suggest a general mechanism that underlies changes in diversity in perturbed gut environments and reveal taxon-independent markers of "dysbiosis" that may explain why widespread yet typically low-abundance members of healthy gut microbiomes can dominate under inflammatory conditions without any causal association with disease.
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Affiliation(s)
- Andrea R Watson
- Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
- Committee On Microbiology, The University of Chicago, Chicago, IL, 60637, USA
| | - Jessika Füssel
- Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
- Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, 26129, Oldenburg, Germany
| | - Iva Veseli
- Biophysical Sciences Program, The University of Chicago, Chicago, IL, 60637, USA
| | | | - Marisela Silva
- Department of Medicine, The University of Calgary, Calgary, AB, T2N 1N4, Canada
| | - Florian Trigodet
- Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Karen Lolans
- Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Alon Shaiber
- Biophysical Sciences Program, The University of Chicago, Chicago, IL, 60637, USA
| | - Emily Fogarty
- Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
- Committee On Microbiology, The University of Chicago, Chicago, IL, 60637, USA
| | - Joseph M Runde
- Department of Pediatrics, Lurie Children's Hospital of Chicago, Chicago, IL, 60611, USA
| | - Christopher Quince
- Organisms and Ecosystems, Earlham Institute, Norwich, Norwich, NR4 7UZ, UK
- Gut Microbes and Health, Quadram Institute, Norwich, NR4 7UQ, UK
| | - Michael K Yu
- Toyota Technological Institute at Chicago, Chicago, IL, 60637, USA
| | - Arda Söylev
- Department of Computer Engineering, Konya Food and Agriculture University, Konya, Turkey
| | - Hilary G Morrison
- Marine Biological Laboratory, Josephine Bay Paul Center, Woods Hole, Falmouth, MA, 02543, USA
| | - Sonny T M Lee
- Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Dina Kao
- Department of Medicine, University of Alberta, Edmonton, AB, T6G 2G3, Canada
| | - David T Rubin
- Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Bana Jabri
- Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Thomas Louie
- Department of Medicine, The University of Calgary, Calgary, AB, T2N 1N4, Canada
| | - A Murat Eren
- Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA.
- Committee On Microbiology, The University of Chicago, Chicago, IL, 60637, USA.
- Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, 26129, Oldenburg, Germany.
- Marine Biological Laboratory, Josephine Bay Paul Center, Woods Hole, Falmouth, MA, 02543, USA.
- Helmholtz Institute for Functional Marine Biodiversity, 26129, Oldenburg, Germany.
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2
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Runde J, Veseli I, Fogarty EC, Watson AR, Clayssen Q, Yosef M, Shaiber A, Verma R, Quince C, Gerasimidis K, Rubin DT, Eren AM. Transient Suppression of Bacterial Populations Associated with Gut Health is Critical in Success of Exclusive Enteral Nutrition for Children with Crohn's Disease. J Crohns Colitis 2023:7080705. [PMID: 36934439 DOI: 10.1093/ecco-jcc/jjad031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Indexed: 03/20/2023]
Abstract
BACKGROUND AND AIMS Exclusive enteral nutrition [EEN] is a dietary intervention to induce clinical remission in children with active luminal Crohn's disease [CD]. While changes in the gut microbial communities have been implicated in achieving this remission, a precise understanding of the role of microbial ecology in the restoration of gut homeostasis is lacking. METHODS Here we reconstructed genomes from the gut metagenomes of 12 paediatric subjects who were sampled before, during and after EEN. We then classified each microbial population into distinct 'phenotypes' or patterns of response based on changes in their relative abundances throughout the therapy on a per-individual basis. RESULTS Our data show that children achieving clinical remission during therapy were enriched with microbial populations that were either suppressed or that demonstrated a transient bloom as a function of EEN. In contrast, this ecosystem-level response was not observed in cases of EEN failure. Further analysis revealed that populations that were suppressed during EEN were significantly more prevalent in healthy children and adults across the globe compared with those that bloomed ephemerally during the therapy. CONCLUSIONS These observations taken together suggest that successful outcomes of EEN are marked by a temporary emergence of microbial populations that are rare in healthy individuals, and a concomitant reduction in microbes that are commonly associated with gut homeostasis. Our work is a first attempt to highlight individual-specific, complex environmental factors that influence microbial response in EEN. This model offers a novel, alternative viewpoint to traditional taxonomic strategies used to characterize associations with health and disease states.
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Affiliation(s)
- Joseph Runde
- Department of Pediatrics, Lurie Children's Hospital of Chicago, Chicago, IL 60611, USA
| | - Iva Veseli
- Biophysical Sciences Program, The University of Chicago, Chicago, IL 60637, USA
| | - Emily C Fogarty
- Committee on Microbiology, The University of Chicago, Chicago, IL 60637, USA.,Department of Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - Andrea R Watson
- Committee on Microbiology, The University of Chicago, Chicago, IL 60637, USA.,Department of Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - Quentin Clayssen
- Department of Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - Mahmoud Yosef
- Department of Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - Alon Shaiber
- Department of Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - Ritu Verma
- Department of Pediatrics, The University of Chicago, Chicago, IL 60637, USA
| | | | | | - David T Rubin
- Department of Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - A Murat Eren
- Josephine Bay Paul Center, Marine Biological Laboratory, Woods Hole, MA 02543, USA.,Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, 26129, Oldenburg, Germany.,Alfred-Wegener-Institute for Marine and Polar Research, 27570 Bremerhaven, Germany.,Helmholtz Institute for Functional Marine Biodiversity, 26129 Oldenburg, Germany
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3
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Nauseef JT, Shah Y, Shaiber A, Rosiene J, Wilkes D, Sigouros M, Manohar J, Vlachostergios PJ, Robinson BD, Elemento O, Nanus DM, Mosquera JM, Imielinski M. Genomic instability is enriched in localized prostate cancers from men of African ancestry. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.6_suppl.270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
270 Background: Whole genome sequencing (WGS) of prostate cancers (PC) from American men of African ancestry (AA) is limited despite AA men having twice the incidence of and mortality from PC as compared to their European ancestry (EA) men. Herein we describe analysis of AA PC WGS to identify genomic contributions to incidence and outcome disparities. Methods: WGS data from AA localized hormone naïve (HN) PCs (n = 23) from our institution were combined with publicly available WGS HNPC datasets (n = 5); quantitative predominant genome-wide ancestry was approximated via RFMix. A comparable EA cohort (n = 224) was similarly assembled. Ancestry groups were compared via regression models correcting for Gleason grade, PSA, and pathologic stage. Results: Analysis of known HNPC driver genes revealed lower frequency of PTEN (2/28 v 70/224, 7% v 31%, p = 0.006) and higher frequency of MYC (5/28 v 13/224, 18% v 5%, p = 0.014) and FOXA1 (7/28 v 24/224, 25% v 11%, p = 0.018) alterations in AA tumors relative to EA. An unbiased search for coding and noncoding drivers uncovered recurrent FOXA1 promoter (n = 8, p = 1.1e-8, RR = 3.92) and gene body protein-coding (n = 5, p = 1.2e-6, RR = 7.83) mutations, as targets of somatic selection and affecting nearly half of AA cases. Despite comparable tumor mutational burdens in each group, analysis of genome-wide mutational signatures revealed an AA-specific enrichment of SNVs in trinucleotide contexts associated with mismatch repair deficiency (SBS6, p = 1.68e-2, RR = 49.1). AA tumors also had significantly more small deletions (sig. ID2) relative to EA samples (p = 2.25e-31, RR = 9.47), implying replication slippage at lagging strands. Finally, AA PC genomes had consistently higher MSI scores relative to EA (median [IQR]: 4.03 [3.8-4.53] v 1.52 [1.21-1.85], p = 2.95e-44), yet lower than MSI-H colon cancers. These associations were independent of tissue preservation method or source, suggesting they reflect an ancestry-specific mutational process. Comparison of germline and somatic variants between AA and EA uncovered candidate DNA damage response genes (DDR) for further functional validation. Conclusions: Analysis of the largest AA cohort to date of WGS HNPC has revealed an ancestry-specific somatic mutational processes resulting in elevated rate of MMR-linked SNVs, replication-slippage associated small deletions, and MSI, relative to EA. The uniformity of these data suggest that AAs may harbor an inherited factor contributing to increased somatic genomic instability in the HNPC context. These results are compatible with published analyses demonstrating lower expression of DDR genes in AA versus EA PCs. Greater MSI and indels (via neoantigen formation) may explain the higher response proportions in AA PC patients treated with immune- and radiotherapies. Studies are ongoing to define mechanisms via associations between germline predisposition, somatic modification, and transcriptional outcome.
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Affiliation(s)
- Jones T. Nauseef
- New York-Presbyterian Hospital/Weill Cornell Medical Center, New York, NY
| | | | | | | | | | - Michael Sigouros
- Department of Medicine, Division of Medical Oncology, Weill Cornell Medicine, New York City, NY
| | | | | | - Brian D. Robinson
- Department of Pathology & Laboratory Medicine, Englader Institute for Precision Medicine, Weill Cornell Medical College & New York-Presbyterian Hospital, New York, NY
| | | | | | - Juan Miguel Mosquera
- Department of Pathology & Laboratory Medicine, Englander Institute for Precision Medicine, Weill Cornell Medical College & New York-Presbyterian Hospital, New York, NY
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4
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Park J, Foox J, Hether T, Danko DC, Warren S, Kim Y, Reeves J, Butler DJ, Mozsary C, Rosiene J, Shaiber A, Afshin EE, MacKay M, Rendeiro AF, Bram Y, Chandar V, Geiger H, Craney A, Velu P, Melnick AM, Hajirasouliha I, Beheshti A, Taylor D, Saravia-Butler A, Singh U, Wurtele ES, Schisler J, Fennessey S, Corvelo A, Zody MC, Germer S, Salvatore S, Levy S, Wu S, Tatonetti NP, Shapira S, Salvatore M, Westblade LF, Cushing M, Rennert H, Kriegel AJ, Elemento O, Imielinski M, Rice CM, Borczuk AC, Meydan C, Schwartz RE, Mason CE. System-wide transcriptome damage and tissue identity loss in COVID-19 patients. Cell Rep Med 2022; 3:100522. [PMID: 35233546 PMCID: PMC8784611 DOI: 10.1016/j.xcrm.2022.100522] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 12/22/2021] [Accepted: 01/16/2022] [Indexed: 01/07/2023]
Abstract
The molecular mechanisms underlying the clinical manifestations of coronavirus disease 2019 (COVID-19), and what distinguishes them from common seasonal influenza virus and other lung injury states such as acute respiratory distress syndrome, remain poorly understood. To address these challenges, we combine transcriptional profiling of 646 clinical nasopharyngeal swabs and 39 patient autopsy tissues to define body-wide transcriptome changes in response to COVID-19. We then match these data with spatial protein and expression profiling across 357 tissue sections from 16 representative patient lung samples and identify tissue-compartment-specific damage wrought by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, evident as a function of varying viral loads during the clinical course of infection and tissue-type-specific expression states. Overall, our findings reveal a systemic disruption of canonical cellular and transcriptional pathways across all tissues, which can inform subsequent studies to combat the mortality of COVID-19 and to better understand the molecular dynamics of lethal SARS-CoV-2 and other respiratory infections.
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Affiliation(s)
- Jiwoon Park
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY 10065, USA
| | - Jonathan Foox
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | | | - David C. Danko
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA
| | | | - Youngmi Kim
- NanoString Technologies, Inc., Seattle, WA, USA
| | | | - Daniel J. Butler
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
| | - Christopher Mozsary
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
| | - Joel Rosiene
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Alon Shaiber
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Evan E. Afshin
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Matthew MacKay
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
| | - André F. Rendeiro
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Yaron Bram
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | | | - Arryn Craney
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Priya Velu
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Ari M. Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Iman Hajirasouliha
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Afshin Beheshti
- KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Deanne Taylor
- Department of Biomedical and Health Informatics, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amanda Saravia-Butler
- Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
- Logyx, LLC, Mountain View, CA, USA
| | - Urminder Singh
- Bioinformatics and Computational Biology Program, Center for Metabolic Biology, Department of Genetics, Development and Cell Biology Iowa State University, Ames, IA, USA
| | - Eve Syrkin Wurtele
- Bioinformatics and Computational Biology Program, Center for Metabolic Biology, Department of Genetics, Development and Cell Biology Iowa State University, Ames, IA, USA
| | - Jonathan Schisler
- McAllister Heart Institute at The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Pharmacology, and Department of Pathology and Lab Medicine at The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | | | | | | | - Steven Salvatore
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Shawn Levy
- HudsonAlpha Discovery Institute, Huntsville, AL, USA
| | - Shixiu Wu
- Hangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, China
- Department of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou, China
| | - Nicholas P. Tatonetti
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, New York, NY, USA
| | - Sagi Shapira
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, New York, NY, USA
| | - Mirella Salvatore
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Lars F. Westblade
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Melissa Cushing
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Hanna Rennert
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Alison J. Kriegel
- Department of Physiology, Cardiovascular Center, Center of Systems Molecular Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Olivier Elemento
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Marcin Imielinski
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Charles M. Rice
- Laboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY 10065, USA
| | - Alain C. Borczuk
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Cem Meydan
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Robert E. Schwartz
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Christopher E. Mason
- Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- New York Genome Center, New York, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
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5
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Trigodet F, Lolans K, Fogarty E, Shaiber A, Morrison HG, Barreiro L, Jabri B, Eren AM. High molecular weight DNA extraction strategies for long-read sequencing of complex metagenomes. Mol Ecol Resour 2022; 22:1786-1802. [PMID: 35068060 PMCID: PMC9177515 DOI: 10.1111/1755-0998.13588] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 12/10/2021] [Accepted: 01/14/2022] [Indexed: 11/28/2022]
Abstract
By offering extremely long contiguous characterization of individual DNA molecules, rapidly emerging long‐read sequencing strategies offer comprehensive insights into the organization of genetic information in genomes and metagenomes. However, successful long‐read sequencing experiments demand high concentrations of highly purified DNA of high molecular weight (HMW), which limits the utility of established DNA extraction kits designed for short‐read sequencing. The challenges associated with input DNA quality intensify further when working with complex environmental samples of low microbial biomass, which requires new protocols that are tailored to study metagenomes with long‐read sequencing. Here, we use human tongue scrapings to benchmark six HMW DNA extraction strategies that are based on commercially available kits, phenol–chloroform (PC) extraction and agarose encasement followed by agarase digestion. A typical end goal of HMW DNA extractions is to obtain the longest possible reads during sequencing, which is often achieved by PC extractions, as demonstrated in sequencing of cultured cells. Yet our analyses that consider overall read‐size distribution, assembly performance and the number of circularized elements found in sequencing results suggest that column‐based kits with enzyme supplementation, rather than PC methods, may be more appropriate for long‐read sequencing of metagenomes.
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Affiliation(s)
- Florian Trigodet
- Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Karen Lolans
- Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Emily Fogarty
- Committee on Microbiology, University of Chicago, Chicago, IL, 60637, USA
| | - Alon Shaiber
- BioPhysical Sciences Program, The University of Chicago, Chicago, IL, 60637, USA
| | - Hilary G Morrison
- Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, MA, 02543, USA
| | - Luis Barreiro
- Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - Bana Jabri
- Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA
| | - A Murat Eren
- Department of Medicine, The University of Chicago, Chicago, IL, 60637, USA.,Committee on Microbiology, University of Chicago, Chicago, IL, 60637, USA.,BioPhysical Sciences Program, The University of Chicago, Chicago, IL, 60637, USA.,Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, MA, 02543, USA
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6
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Hadi K, Yao X, Behr JM, Deshpande A, Xanthopoulakis C, Tian H, Kudman S, Rosiene J, Darmofal M, DeRose J, Mortensen R, Adney EM, Shaiber A, Gajic Z, Sigouros M, Eng K, Wala JA, Wrzeszczyński KO, Arora K, Shah M, Emde AK, Felice V, Frank MO, Darnell RB, Ghandi M, Huang F, Dewhurst S, Maciejowski J, de Lange T, Setton J, Riaz N, Reis-Filho JS, Powell S, Knowles DA, Reznik E, Mishra B, Beroukhim R, Zody MC, Robine N, Oman KM, Sanchez CA, Kuhner MK, Smith LP, Galipeau PC, Paulson TG, Reid BJ, Li X, Wilkes D, Sboner A, Mosquera JM, Elemento O, Imielinski M. Distinct Classes of Complex Structural Variation Uncovered across Thousands of Cancer Genome Graphs. Cell 2021; 183:197-210.e32. [PMID: 33007263 DOI: 10.1016/j.cell.2020.08.006] [Citation(s) in RCA: 109] [Impact Index Per Article: 36.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Revised: 04/08/2020] [Accepted: 08/03/2020] [Indexed: 12/12/2022]
Abstract
Cancer genomes often harbor hundreds of somatic DNA rearrangement junctions, many of which cannot be easily classified into simple (e.g., deletion) or complex (e.g., chromothripsis) structural variant classes. Applying a novel genome graph computational paradigm to analyze the topology of junction copy number (JCN) across 2,778 tumor whole-genome sequences, we uncovered three novel complex rearrangement phenomena: pyrgo, rigma, and tyfonas. Pyrgo are "towers" of low-JCN duplications associated with early-replicating regions, superenhancers, and breast or ovarian cancers. Rigma comprise "chasms" of low-JCN deletions enriched in late-replicating fragile sites and gastrointestinal carcinomas. Tyfonas are "typhoons" of high-JCN junctions and fold-back inversions associated with expressed protein-coding fusions, breakend hypermutation, and acral, but not cutaneous, melanomas. Clustering of tumors according to genome graph-derived features identified subgroups associated with DNA repair defects and poor prognosis.
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Affiliation(s)
- Kevin Hadi
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA; New York Genome Center, New York, NY 10013, USA
| | - Xiaotong Yao
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA; New York Genome Center, New York, NY 10013, USA; Tri-institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Julie M Behr
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA; New York Genome Center, New York, NY 10013, USA; Tri-institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Aditya Deshpande
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA; New York Genome Center, New York, NY 10013, USA; Tri-institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | | | - Huasong Tian
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA; New York Genome Center, New York, NY 10013, USA
| | - Sarah Kudman
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA; Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Joel Rosiene
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA; New York Genome Center, New York, NY 10013, USA
| | - Madison Darmofal
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA; New York Genome Center, New York, NY 10013, USA; Tri-institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | | | | | - Emily M Adney
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA; New York Genome Center, New York, NY 10013, USA
| | - Alon Shaiber
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA; New York Genome Center, New York, NY 10013, USA; Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Zoran Gajic
- New York Genome Center, New York, NY 10013, USA
| | - Michael Sigouros
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Kenneth Eng
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Jeremiah A Wala
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Departments of Medical Oncology and Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; School of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | | | | | - Minita Shah
- New York Genome Center, New York, NY 10013, USA
| | | | | | - Mayu O Frank
- New York Genome Center, New York, NY 10013, USA; Laboratory of Molecular Neuro-Oncology and Howard Hughes Medical Institute, The Rockefeller University, New York, NY 10065, USA
| | - Robert B Darnell
- New York Genome Center, New York, NY 10013, USA; Laboratory of Molecular Neuro-Oncology and Howard Hughes Medical Institute, The Rockefeller University, New York, NY 10065, USA
| | - Mahmoud Ghandi
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Franklin Huang
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; School of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Sally Dewhurst
- Laboratory of Cell Biology and Genetics, The Rockefeller University, New York, NY 10065, USA
| | - John Maciejowski
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Titia de Lange
- Laboratory of Cell Biology and Genetics, The Rockefeller University, New York, NY 10065, USA
| | - Jeremy Setton
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Nadeem Riaz
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Immunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jorge S Reis-Filho
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Simon Powell
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - David A Knowles
- New York Genome Center, New York, NY 10013, USA; Department of Computer Science, Columbia University, New York, NY 10027, USA
| | - Ed Reznik
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Bud Mishra
- Departments of Computer Science, Mathematics and Cell Biology, Courant Institute and NYU School of Medicine, New York University, New York, NY 10012, USA
| | - Rameen Beroukhim
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Departments of Medical Oncology and Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | | | | | - Kenji M Oman
- Divisions of Human Biology and Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Carissa A Sanchez
- Divisions of Human Biology and Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Mary K Kuhner
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Lucian P Smith
- Department of Bioengineering, University of Washington, Seattle, WA 98195, USA
| | - Patricia C Galipeau
- Divisions of Human Biology and Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Thomas G Paulson
- Divisions of Human Biology and Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Brian J Reid
- Divisions of Human Biology and Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Xiaohong Li
- Divisions of Human Biology and Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - David Wilkes
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA; Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Andrea Sboner
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA; Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Juan Miguel Mosquera
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA; Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Olivier Elemento
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA; Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA
| | - Marcin Imielinski
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10021, USA; New York Genome Center, New York, NY 10013, USA; Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA; Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA.
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7
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Butler D, Mozsary C, Meydan C, Foox J, Rosiene J, Shaiber A, Danko D, Afshinnekoo E, MacKay M, Sedlazeck FJ, Ivanov NA, Sierra M, Pohle D, Zietz M, Gisladottir U, Ramlall V, Sholle ET, Schenck EJ, Westover CD, Hassan C, Ryon K, Young B, Bhattacharya C, Ng DL, Granados AC, Santos YA, Servellita V, Federman S, Ruggiero P, Fungtammasan A, Chin CS, Pearson NM, Langhorst BW, Tanner NA, Kim Y, Reeves JW, Hether TD, Warren SE, Bailey M, Gawrys J, Meleshko D, Xu D, Couto-Rodriguez M, Nagy-Szakal D, Barrows J, Wells H, O'Hara NB, Rosenfeld JA, Chen Y, Steel PAD, Shemesh AJ, Xiang J, Thierry-Mieg J, Thierry-Mieg D, Iftner A, Bezdan D, Sanchez E, Campion TR, Sipley J, Cong L, Craney A, Velu P, Melnick AM, Shapira S, Hajirasouliha I, Borczuk A, Iftner T, Salvatore M, Loda M, Westblade LF, Cushing M, Wu S, Levy S, Chiu C, Schwartz RE, Tatonetti N, Rennert H, Imielinski M, Mason CE. Shotgun transcriptome, spatial omics, and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions. Nat Commun 2021; 12:1660. [PMID: 33712587 PMCID: PMC7954844 DOI: 10.1038/s41467-021-21361-7] [Citation(s) in RCA: 92] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 01/25/2021] [Indexed: 02/08/2023] Open
Abstract
In less than nine months, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) killed over a million people, including >25,000 in New York City (NYC) alone. The COVID-19 pandemic caused by SARS-CoV-2 highlights clinical needs to detect infection, track strain evolution, and identify biomarkers of disease course. To address these challenges, we designed a fast (30-minute) colorimetric test (LAMP) for SARS-CoV-2 infection from naso/oropharyngeal swabs and a large-scale shotgun metatranscriptomics platform (total-RNA-seq) for host, viral, and microbial profiling. We applied these methods to clinical specimens gathered from 669 patients in New York City during the first two months of the outbreak, yielding a broad molecular portrait of the emerging COVID-19 disease. We find significant enrichment of a NYC-distinctive clade of the virus (20C), as well as host responses in interferon, ACE, hematological, and olfaction pathways. In addition, we use 50,821 patient records to find that renin-angiotensin-aldosterone system inhibitors have a protective effect for severe COVID-19 outcomes, unlike similar drugs. Finally, spatial transcriptomic data from COVID-19 patient autopsy tissues reveal distinct ACE2 expression loci, with macrophage and neutrophil infiltration in the lungs. These findings can inform public health and may help develop and drive SARS-CoV-2 diagnostic, prevention, and treatment strategies.
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Affiliation(s)
- Daniel Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Christopher Mozsary
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Joel Rosiene
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Alon Shaiber
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - David Danko
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Ebrahim Afshinnekoo
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Matthew MacKay
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Nikolay A Ivanov
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Clinical & Translational Science Center, Weill Cornell Medicine, New York, NY, USA
| | - Maria Sierra
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Diana Pohle
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany
| | - Michael Zietz
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA
| | - Undina Gisladottir
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA
| | - Vijendra Ramlall
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA
- Department of Cellular, Molecular Physiology & Biophysics, Columbia University, Columbia, NY, USA
| | - Evan T Sholle
- Information Technologies & Services Department, Weill Cornell Medicine, New York, NY, USA
| | - Edward J Schenck
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Craig D Westover
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Ciaran Hassan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Krista Ryon
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Benjamin Young
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | | | - Dianna L Ng
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Andrea C Granados
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Yale A Santos
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Venice Servellita
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Scot Federman
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Phyllis Ruggiero
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | | | | | | | | | | | | | | | | | | | - Justyna Gawrys
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Dmitry Meleshko
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA
| | - Dong Xu
- Genomics Resources Core Facility, Weill Cornell Medicine, New York, NY, USA
| | | | - Dorottya Nagy-Szakal
- Biotia, Inc., New York, NY, USA
- Department of Cell Biology, SUNY Downstate Health Sciences University, New York, NY, USA
| | | | | | - Niamh B O'Hara
- Biotia, Inc., New York, NY, USA
- Department of Cell Biology, SUNY Downstate Health Sciences University, New York, NY, USA
| | - Jeffrey A Rosenfeld
- Rutgers Cancer Institute of New Jersey, New York, NJ, USA
- Department of Pathology, Robert Wood Johnson Medical School, New York, NJ, USA
| | - Ying Chen
- Rutgers Cancer Institute of New Jersey, New York, NJ, USA
| | - Peter A D Steel
- Department of Emergency Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Amos J Shemesh
- Department of Emergency Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Jenny Xiang
- Genomics Resources Core Facility, Weill Cornell Medicine, New York, NY, USA
| | - Jean Thierry-Mieg
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Danielle Thierry-Mieg
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Angelika Iftner
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany
| | - Daniela Bezdan
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany
| | | | - Thomas R Campion
- Information Technologies & Services Department, Weill Cornell Medicine, New York, NY, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - John Sipley
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Lin Cong
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Arryn Craney
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Priya Velu
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Ari M Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Sagi Shapira
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA
| | - Iman Hajirasouliha
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Alain Borczuk
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Thomas Iftner
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany
| | - Mirella Salvatore
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Massimo Loda
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Lars F Westblade
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Melissa Cushing
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Shixiu Wu
- Hangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, China
- Department of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou, China
| | - Shawn Levy
- HudsonAlpha Discovery Institute, Huntsville, AL, USA
| | - Charles Chiu
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, CA, USA
| | | | - Nicholas Tatonetti
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA.
| | - Hanna Rennert
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
| | - Marcin Imielinski
- New York Genome Center, New York, NY, USA.
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA.
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
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8
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Park J, Foox J, Hether T, Danko D, Warren S, Kim Y, Reeves J, Butler DJ, Mozsary C, Rosiene J, Shaiber A, Afshinnekoo E, MacKay M, Bram Y, Chandar V, Geiger H, Craney A, Velu P, Melnick AM, Hajirasouliha I, Beheshti A, Taylor D, Saravia-Butler A, Singh U, Wurtele ES, Schisler J, Fennessey S, Corvelo A, Zody MC, Germer S, Salvatore S, Levy S, Wu S, Tatonetti N, Shapira S, Salvatore M, Loda M, Westblade LF, Cushing M, Rennert H, Kriegel AJ, Elemento O, Imielinski M, Borczuk AC, Meydan C, Schwartz RE, Mason CE. Systemic Tissue and Cellular Disruption from SARS-CoV-2 Infection revealed in COVID-19 Autopsies and Spatial Omics Tissue Maps. bioRxiv 2021. [PMID: 33758858 DOI: 10.1101/2021.03.08.434433] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) virus has infected over 115 million people and caused over 2.5 million deaths worldwide. Yet, the molecular mechanisms underlying the clinical manifestations of COVID-19, as well as what distinguishes them from common seasonal influenza virus and other lung injury states such as Acute Respiratory Distress Syndrome (ARDS), remains poorly understood. To address these challenges, we combined transcriptional profiling of 646 clinical nasopharyngeal swabs and 39 patient autopsy tissues, matched with spatial protein and expression profiling (GeoMx) across 357 tissue sections. These results define both body-wide and tissue-specific (heart, liver, lung, kidney, and lymph nodes) damage wrought by the SARS-CoV-2 infection, evident as a function of varying viral load (high vs. low) during the course of infection and specific, transcriptional dysregulation in splicing isoforms, T cell receptor expression, and cellular expression states. In particular, cardiac and lung tissues revealed the largest degree of splicing isoform switching and cell expression state loss. Overall, these findings reveal a systemic disruption of cellular and transcriptional pathways from COVID-19 across all tissues, which can inform subsequent studies to combat the mortality of COVID-19, as well to better understand the molecular dynamics of lethal SARS-CoV-2 infection and other viruses.
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9
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Shaiber A, Willis AD, Delmont TO, Roux S, Chen LX, Schmid AC, Yousef M, Watson AR, Lolans K, Esen ÖC, Lee STM, Downey N, Morrison HG, Dewhirst FE, Mark Welch JL, Eren AM. Functional and genetic markers of niche partitioning among enigmatic members of the human oral microbiome. Genome Biol 2020; 21:292. [PMID: 33323122 PMCID: PMC7739484 DOI: 10.1186/s13059-020-02195-w] [Citation(s) in RCA: 93] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 11/04/2020] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION Microbial residents of the human oral cavity have long been a major focus of microbiology due to their influence on host health and intriguing patterns of site specificity amidst the lack of dispersal limitation. However, the determinants of niche partitioning in this habitat are yet to be fully understood, especially among taxa that belong to recently discovered branches of microbial life. RESULTS Here, we assemble metagenomes from tongue and dental plaque samples from multiple individuals and reconstruct 790 non-redundant genomes, 43 of which resolve to TM7, a member of the Candidate Phyla Radiation, forming six monophyletic clades that distinctly associate with either plaque or tongue. Both pangenomic and phylogenomic analyses group tongue-specific clades with other host-associated TM7 genomes. In contrast, plaque-specific TM7 group with environmental TM7 genomes. Besides offering deeper insights into the ecology, evolution, and mobilome of cryptic members of the oral microbiome, our study reveals an intriguing resemblance between dental plaque and non-host environments indicated by the TM7 evolution, suggesting that plaque may have served as a stepping stone for environmental microbes to adapt to host environments for some clades of microbes. Additionally, we report that prophages are widespread among oral-associated TM7, while absent from environmental TM7, suggesting that prophages may have played a role in adaptation of TM7 to the host environment. CONCLUSIONS Our data illuminate niche partitioning of enigmatic members of the oral cavity, including TM7, SR1, and GN02, and provide genomes for poorly characterized yet prevalent members of this biome, such as uncultivated Flavobacteriaceae.
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Affiliation(s)
- Alon Shaiber
- Department of Medicine, University of Chicago, Chicago, IL, 60637, USA
- Biophysical Sciences, University of Chicago, Chicago, IL, 60637, USA
| | - Amy D Willis
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Tom O Delmont
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 91057, Evry, France
| | - Simon Roux
- Department of Energy Joint Genome Institute, Berkeley, CA, 94720, USA
| | - Lin-Xing Chen
- Department of Earth and Planetary Sciences, University of California, Berkeley, CA, 94720, USA
| | - Abigail C Schmid
- Computational and Applied Mathematics, University of Chicago, Chicago, IL, 60637, USA
| | - Mahmoud Yousef
- Computer Science, University of Chicago, Chicago, IL, 60637, USA
| | - Andrea R Watson
- Department of Medicine, University of Chicago, Chicago, IL, 60637, USA
- Committee on Microbiology, University of Chicago, Chicago, IL, 60637, USA
| | - Karen Lolans
- Department of Medicine, University of Chicago, Chicago, IL, 60637, USA
| | - Özcan C Esen
- Department of Medicine, University of Chicago, Chicago, IL, 60637, USA
| | - Sonny T M Lee
- Division of Biology, Kansas State University, Manhattan, KS, 66506, USA
| | - Nora Downey
- Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, MA, 02543, USA
| | - Hilary G Morrison
- Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, MA, 02543, USA
| | - Floyd E Dewhirst
- Department of Microbiology, The Forsyth Institute, Cambridge, MA, 02142, USA
- Department of Oral Medicine, Infection and Immunity, Harvard School of Dental Medicine, Boston, MA, 02115, USA
| | - Jessica L Mark Welch
- Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, MA, 02543, USA.
| | - A Murat Eren
- Department of Medicine, University of Chicago, Chicago, IL, 60637, USA.
- Biophysical Sciences, University of Chicago, Chicago, IL, 60637, USA.
- Committee on Microbiology, University of Chicago, Chicago, IL, 60637, USA.
- Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, MA, 02543, USA.
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10
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Butler DJ, Mozsary C, Meydan C, Danko D, Foox J, Rosiene J, Shaiber A, Afshinnekoo E, MacKay M, Sedlazeck FJ, Ivanov NA, Sierra M, Pohle D, Zietz M, Gisladottir U, Ramlall V, Westover CD, Ryon K, Young B, Bhattacharya C, Ruggiero P, Langhorst BW, Tanner N, Gawrys J, Meleshko D, Xu D, Steel PAD, Shemesh AJ, Xiang J, Thierry-Mieg J, Thierry-Mieg D, Schwartz RE, Iftner A, Bezdan D, Sipley J, Cong L, Craney A, Velu P, Melnick AM, Hajirasouliha I, Horner SM, Iftner T, Salvatore M, Loda M, Westblade LF, Cushing M, Levy S, Wu S, Tatonetti N, Imielinski M, Rennert H, Mason CE. Shotgun Transcriptome and Isothermal Profiling of SARS-CoV-2 Infection Reveals Unique Host Responses, Viral Diversification, and Drug Interactions. bioRxiv 2020:2020.04.20.048066. [PMID: 32511352 PMCID: PMC7255793 DOI: 10.1101/2020.04.20.048066] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has caused thousands of deaths worldwide, including >18,000 in New York City (NYC) alone. The sudden emergence of this pandemic has highlighted a pressing clinical need for rapid, scalable diagnostics that can detect infection, interrogate strain evolution, and identify novel patient biomarkers. To address these challenges, we designed a fast (30-minute) colorimetric test (LAMP) for SARS-CoV-2 infection from naso/oropharyngeal swabs, plus a large-scale shotgun metatranscriptomics platform (total-RNA-seq) for host, bacterial, and viral profiling. We applied both technologies across 857 SARS-CoV-2 clinical specimens and 86 NYC subway samples, providing a broad molecular portrait of the COVID-19 NYC outbreak. Our results define new features of SARS-CoV-2 evolution, nominate a novel, NYC-enriched viral subclade, reveal specific host responses in interferon, ACE, hematological, and olfaction pathways, and examine risks associated with use of ACE inhibitors and angiotensin receptor blockers. Together, these findings have immediate applications to SARS-CoV-2 diagnostics, public health, and new therapeutic targets.
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Affiliation(s)
- Daniel J. Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | | | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, NY, USA
| | - David Danko
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- Tri-Institutional Computational Biol. & Medicine Program, Weill Cornell Medicine, NY, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
| | - Joel Rosiene
- New York Genome Center, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Alon Shaiber
- New York Genome Center, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, NY, USA
| | - Ebrahim Afshinnekoo
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, NY, USA
| | - Matthew MacKay
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | - Fritz J. Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Nikolay A. Ivanov
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
- Clinical & Translational Science Center, Weill Cornell Medicine, NY, USA
| | - Maria Sierra
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | - Diana Pohle
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Germany
| | - Michael Zietz
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, NY, USA
| | - Undina Gisladottir
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, NY, USA
| | - Vijendra Ramlall
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, NY, USA
- Department of Cellular, Molecular Physiology & Biophysics, Columbia University, NY, USA
| | - Craig D. Westover
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | - Krista Ryon
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | - Benjamin Young
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | | | - Phyllis Ruggiero
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | | | | | - Justyna Gawrys
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Dmitry Meleshko
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- Tri-Institutional Computational Biol. & Medicine Program, Weill Cornell Medicine, NY, USA
| | - Dong Xu
- Genomics Resources Core Facility, Weill Cornell Medicine, NY, USA
| | | | - Amos J. Shemesh
- Department of Emergency Medicine, Weill Cornell Medicine, NY, USA
| | - Jenny Xiang
- Genomics Resources Core Facility, Weill Cornell Medicine, NY, USA
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, NY, USA
| | - Jean Thierry-Mieg
- National Center for Biotechnology Information, National Library of Medicine, National Institute of Health, MD, USA
| | - Danielle Thierry-Mieg
- National Center for Biotechnology Information, National Library of Medicine, National Institute of Health, MD, USA
| | | | - Angelika Iftner
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Germany
| | - Daniela Bezdan
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Germany
| | - John Sipley
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Lin Cong
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Arryn Craney
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Priya Velu
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | | | - Iman Hajirasouliha
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, NY, USA
| | - Stacy M. Horner
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, NC, USA
- Department of Medicine, Duke University Medical Center, NC, USA
| | - Thomas Iftner
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Germany
| | - Mirella Salvatore
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, NY, USA
| | - Massimo Loda
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Lars F. Westblade
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, NY, USA
| | - Melissa Cushing
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Shawn Levy
- HudsonAlpha Discovery Institute, Huntsville, AL, USA
| | - Shixiu Wu
- Hangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, China
- Department of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou, China
| | - Nicholas Tatonetti
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, NY, USA
| | - Marcin Imielinski
- New York Genome Center, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, NY, USA
| | - Hanna Rennert
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, NY, USA
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11
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Abstract
Genomes are an integral component of the biological information about an organism; thus, the more complete the genome, the more informative it is. Historically, bacterial and archaeal genomes were reconstructed from pure (monoclonal) cultures, and the first reported sequences were manually curated to completion. However, the bottleneck imposed by the requirement for isolates precluded genomic insights for the vast majority of microbial life. Shotgun sequencing of microbial communities, referred to initially as community genomics and subsequently as genome-resolved metagenomics, can circumvent this limitation by obtaining metagenome-assembled genomes (MAGs); but gaps, local assembly errors, chimeras, and contamination by fragments from other genomes limit the value of these genomes. Here, we discuss genome curation to improve and, in some cases, achieve complete (circularized, no gaps) MAGs (CMAGs). To date, few CMAGs have been generated, although notably some are from very complex systems such as soil and sediment. Through analysis of about 7000 published complete bacterial isolate genomes, we verify the value of cumulative GC skew in combination with other metrics to establish bacterial genome sequence accuracy. The analysis of cumulative GC skew identified potential misassemblies in some reference genomes of isolated bacteria and the repeat sequences that likely gave rise to them. We discuss methods that could be implemented in bioinformatic approaches for curation to ensure that metabolic and evolutionary analyses can be based on very high-quality genomes.
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Affiliation(s)
- Lin-Xing Chen
- Department of Earth and Planetary Sciences, University of California, Berkeley, California 94720, USA
| | - Karthik Anantharaman
- Department of Earth and Planetary Sciences, University of California, Berkeley, California 94720, USA
| | - Alon Shaiber
- Graduate Program in Biophysical Sciences, University of Chicago, Chicago, Illinois 60637, USA.,Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
| | - A Murat Eren
- Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA.,Bay Paul Center, Marine Biological Laboratory, Woods Hole, Massachusetts 02543, USA
| | - Jillian F Banfield
- Department of Earth and Planetary Sciences, University of California, Berkeley, California 94720, USA.,Department of Environmental Science, Policy, and Management, University of California, Berkeley, California 94720, USA.,Earth and Environmental Sciences, Lawrence Berkeley National Laboratory, University of California, Berkeley, California 94720, USA
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12
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Reveillaud J, Bordenstein SR, Cruaud C, Shaiber A, Esen ÖC, Weill M, Makoundou P, Lolans K, Watson AR, Rakotoarivony I, Bordenstein SR, Eren AM. The Wolbachia mobilome in Culex pipiens includes a putative plasmid. Nat Commun 2019; 10:1051. [PMID: 30837458 PMCID: PMC6401122 DOI: 10.1038/s41467-019-08973-w] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Accepted: 02/06/2019] [Indexed: 12/21/2022] Open
Abstract
Wolbachia is a genus of obligate intracellular bacteria found in nematodes and arthropods worldwide, including insect vectors that transmit dengue, West Nile, and Zika viruses. Wolbachia's unique ability to alter host reproductive behavior through its temperate bacteriophage WO has enabled the development of new vector control strategies. However, our understanding of Wolbachia's mobilome beyond its bacteriophages is incomplete. Here, we reconstruct near-complete Wolbachia genomes from individual ovary metagenomes of four wild Culex pipiens mosquitoes captured in France. In addition to viral genes missing from the Wolbachia reference genome, we identify a putative plasmid (pWCP), consisting of a 9.23-kbp circular element with 14 genes. We validate its presence in additional Culex pipiens mosquitoes using PCR, long-read sequencing, and screening of existing metagenomes. The discovery of this previously unrecognized extrachromosomal element opens additional possibilities for genetic manipulation of Wolbachia.
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Affiliation(s)
- Julie Reveillaud
- ASTRE, INRA, CIRAD, University of Montpellier, Montpellier, 34398, France.
| | - Sarah R Bordenstein
- Department of Biological Sciences, Vanderbilt University, Nashville, 37235, TN, USA
| | - Corinne Cruaud
- Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Institut de Biologie François Jacob, Genoscope, Evry, 91057, France
| | - Alon Shaiber
- Graduate Program in the Biophysical Sciences, University of Chicago, Chicago, IL, 60637, USA
- Department of Medicine, University of Chicago, Chicago, 60637, IL, USA
| | - Özcan C Esen
- Department of Medicine, University of Chicago, Chicago, 60637, IL, USA
| | - Mylène Weill
- Institut des Sciences de l'Evolution de Montpellier (ISEM), UMR CNRS-IRD-EPHE-Université de Montpellier, Montpellier, 34095, France
| | - Patrick Makoundou
- Institut des Sciences de l'Evolution de Montpellier (ISEM), UMR CNRS-IRD-EPHE-Université de Montpellier, Montpellier, 34095, France
| | - Karen Lolans
- Department of Medicine, University of Chicago, Chicago, 60637, IL, USA
| | - Andrea R Watson
- Department of Medicine, University of Chicago, Chicago, 60637, IL, USA
| | | | - Seth R Bordenstein
- Department of Biological Sciences, Vanderbilt University, Nashville, 37235, TN, USA
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University, Nashville, 37235, TN, USA
- Vanderbilt Institute for Infection, Immunology, and Inflammation, Vanderbilt University, Nashville, 37235, TN, USA
| | - A Murat Eren
- Graduate Program in the Biophysical Sciences, University of Chicago, Chicago, IL, 60637, USA.
- Department of Medicine, University of Chicago, Chicago, 60637, IL, USA.
- Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, 02543, MA, USA.
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13
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Delmont TO, Quince C, Shaiber A, Esen ÖC, Lee ST, Rappé MS, McLellan SL, Lücker S, Eren AM. Author Correction: Nitrogen-fixing populations of Planctomycetes and Proteobacteria are abundant in surface ocean metagenomes. Nat Microbiol 2018; 3:963. [PMID: 30042441 PMCID: PMC7608358 DOI: 10.1038/s41564-018-0209-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Tom O Delmont
- Department of Medicine, University of Chicago, Chicago, IL, USA.
| | | | - Alon Shaiber
- Graduate Program in the Biophysical Sciences, University of Chicago, Chicago, IL, USA
| | - Özcan C Esen
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Sonny Tm Lee
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Michael S Rappé
- Hawaii Institute of Marine Biology, University of Hawaii at Manoa, Kaneohe, HI, USA
| | - Sandra L McLellan
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Sebastian Lücker
- Department of Microbiology, Radboud University, Nijmegen, The Netherlands
| | - A Murat Eren
- Department of Medicine, University of Chicago, Chicago, IL, USA. .,Josephine Bay Paul Center, Marine Biological Laboratory, Woods Hole, MA, USA. .,Committee on Microbiology, University of Chicago, Chicago, IL, USA.
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14
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Delmont TO, Quince C, Shaiber A, Esen ÖC, Lee ST, Rappé MS, McLellan SL, Lücker S, Eren AM. Nitrogen-fixing populations of Planctomycetes and Proteobacteria are abundant in surface ocean metagenomes. Nat Microbiol 2018; 3:804-813. [PMID: 29891866 PMCID: PMC6792437 DOI: 10.1038/s41564-018-0176-9] [Citation(s) in RCA: 234] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Accepted: 05/15/2018] [Indexed: 01/28/2023]
Abstract
Nitrogen fixation in the surface ocean impacts global marine nitrogen bioavailability and thus microbial primary productivity. Until now, cyanobacterial populations have been viewed as the main suppliers of bioavailable nitrogen in this habitat. Although PCR amplicon surveys targeting the nitrogenase reductase gene have revealed the existence of diverse non-cyanobacterial diazotrophic populations, subsequent quantitative PCR surveys suggest that they generally occur in low abundance. Here, we use state-of-the-art metagenomic assembly and binning strategies to recover nearly one thousand non-redundant microbial population genomes from the TARA Oceans metagenomes. Among these, we provide the first genomic evidence for non-cyanobacterial diazotrophs inhabiting surface waters of the open ocean, which correspond to lineages within the Proteobacteria and, most strikingly, the Planctomycetes. Members of the latter phylum are prevalent in aquatic systems, but have never been linked to nitrogen fixation previously. Moreover, using genome-wide quantitative read recruitment, we demonstrate that the discovered diazotrophs were not only widespread but also remarkably abundant (up to 0.3% of metagenomic reads for a single population) in both the Pacific Ocean and the Atlantic Ocean northwest. Our results extend decades of PCR-based gene surveys, and substantiate the importance of heterotrophic bacteria in the fixation of nitrogen in the surface ocean.
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Affiliation(s)
- Tom O Delmont
- Department of Medicine, University of Chicago, Chicago, IL, USA.
| | | | - Alon Shaiber
- Graduate Program in the Biophysical Sciences, University of Chicago, Chicago, IL, USA
| | - Özcan C Esen
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Sonny Tm Lee
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Michael S Rappé
- Hawaii Institute of Marine Biology, University of Hawaii at Manoa, Kaneohe, HI, USA
| | - Sandra L McLellan
- School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Sebastian Lücker
- Department of Microbiology, Radboud University, Nijmegen, The Netherlands
| | - A Murat Eren
- Department of Medicine, University of Chicago, Chicago, IL, USA. .,Josephine Bay Paul Center, Marine Biological Laboratory, Woods Hole, MA, USA. .,Committee on Microbiology, University of Chicago, Chicago, IL, USA.
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15
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McIntosh CM, Chen L, Shaiber A, Eren AM, Alegre ML. Gut microbes contribute to variation in solid organ transplant outcomes in mice. Microbiome 2018; 6:96. [PMID: 29793539 PMCID: PMC5968713 DOI: 10.1186/s40168-018-0474-8] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Accepted: 05/06/2018] [Indexed: 05/16/2023]
Abstract
BACKGROUND Solid organ transplant recipients show heterogeneity in the occurrence and timing of acute rejection episodes. Understanding the factors responsible for such variability in patient outcomes may lead to improved diagnostic and therapeutic approaches. Rejection kinetics of transplanted organs mainly depends on the extent of genetic disparities between donor and recipient, but a role for environmental factors is emerging. We have recently shown that major alterations of the microbiota following broad-spectrum antibiotics, or use of germ-free animals, promoted longer skin graft survival in mice. Here, we tested whether spontaneous differences in microbial colonization between genetically similar individuals can contribute to variability in graft rejection kinetics. RESULTS We compared rejection kinetics of minor mismatched skin grafts in C57BL/6 mice from Jackson Laboratory (Jax) and Taconic Farms (Tac), genetically similar animals colonized by different commensal microbes. Female Tac mice rejected skin grafts from vendor-matched males more quickly than Jax mice. We observed prolonged graft survival in Tac mice when they were exposed to Jax mice microbiome through co-housing or fecal microbiota transplantation (FMT) by gastric gavage. In contrast, exposure to Tac mice did not change graft rejection kinetics in Jax mice, suggesting a dominant suppressive effect of Jax microbiota. High-throughput sequencing of 16S rRNA gene amplicons from Jax and Tac mice fecal samples confirmed a convergence of microbiota composition after cohousing or fecal transfer. Our analysis of amplicon data associated members of a single bacterial genus, Alistipes, with prolonged graft survival. Consistent with this finding, members of the genus Alistipes were absent in a separate Tac cohort, in which fecal transfer from Jax mice failed to prolong graft survival. CONCLUSIONS These results demonstrate that differences in resident microbiome in healthy individuals may translate into distinct kinetics of graft rejection, and contribute to interpersonal variability in graft outcomes. The association between Alistipes and prolonged skin graft survival in mice suggests that members of this genus might affect host physiology, including at sites distal to the gastrointestinal tract. Overall, these findings allude to a potential therapeutic role for specific gut microbes to promote graft survival through the administration of probiotics, or FMT.
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Affiliation(s)
| | - Luqiu Chen
- Department of Medicine, The University of Chicago, Chicago, USA
| | - Alon Shaiber
- Department of Medicine, The University of Chicago, Chicago, USA
| | - A Murat Eren
- Department of Medicine, The University of Chicago, Chicago, USA
- Marine Biological Laboratory, Woods Hole, USA
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16
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Lee STM, Kahn SA, Delmont TO, Shaiber A, Esen ÖC, Hubert NA, Morrison HG, Antonopoulos DA, Rubin DT, Eren AM. Tracking microbial colonization in fecal microbiota transplantation experiments via genome-resolved metagenomics. Microbiome 2017; 5:50. [PMID: 28473000 PMCID: PMC5418705 DOI: 10.1186/s40168-017-0270-x] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2016] [Accepted: 04/22/2017] [Indexed: 05/11/2023]
Abstract
BACKGROUND Fecal microbiota transplantation (FMT) is an effective treatment for recurrent Clostridium difficile infection and shows promise for treating other medical conditions associated with intestinal dysbioses. However, we lack a sufficient understanding of which microbial populations successfully colonize the recipient gut, and the widely used approaches to study the microbial ecology of FMT experiments fail to provide enough resolution to identify populations that are likely responsible for FMT-derived benefits. METHODS We used shotgun metagenomics together with assembly and binning strategies to reconstruct metagenome-assembled genomes (MAGs) from fecal samples of a single FMT donor. We then used metagenomic mapping to track the occurrence and distribution patterns of donor MAGs in two FMT recipients. RESULTS Our analyses revealed that 22% of the 92 highly complete bacterial MAGs that we identified from the donor successfully colonized and remained abundant in two recipients for at least 8 weeks. Most MAGs with a high colonization rate belonged to the order Bacteroidales. The vast majority of those that lacked evidence of colonization belonged to the order Clostridiales, and colonization success was negatively correlated with the number of genes related to sporulation. Our analysis of 151 publicly available gut metagenomes showed that the donor MAGs that colonized both recipients were prevalent, and the ones that colonized neither were rare across the participants of the Human Microbiome Project. Although our dataset showed a link between taxonomy and the colonization ability of a given MAG, we also identified MAGs that belong to the same taxon with different colonization properties, highlighting the importance of an appropriate level of resolution to explore the functional basis of colonization and to identify targets for cultivation, hypothesis generation, and testing in model systems. CONCLUSIONS The analytical strategy adopted in our study can provide genomic insights into bacterial populations that may be critical to the efficacy of FMT due to their success in gut colonization and metabolic properties, and guide cultivation efforts to investigate mechanistic underpinnings of this procedure beyond associations.
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Affiliation(s)
- Sonny T M Lee
- Section of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Chicago Medicine, Chicago, IL, USA
| | - Stacy A Kahn
- Section of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Chicago Medicine, Chicago, IL, USA
- Present address: Boston Children's Hospital, Inflammatory Bowel Disease Center, Boston, MA, USA
| | - Tom O Delmont
- Section of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Chicago Medicine, Chicago, IL, USA
| | - Alon Shaiber
- Section of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Chicago Medicine, Chicago, IL, USA
| | - Özcan C Esen
- Section of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Chicago Medicine, Chicago, IL, USA
| | - Nathaniel A Hubert
- Section of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Chicago Medicine, Chicago, IL, USA
| | - Hilary G Morrison
- Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, 02543, MA, USA
| | - Dionysios A Antonopoulos
- Section of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Chicago Medicine, Chicago, IL, USA
| | - David T Rubin
- Section of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Chicago Medicine, Chicago, IL, USA
| | - A Murat Eren
- Section of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Chicago Medicine, Chicago, IL, USA.
- Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, 02543, MA, USA.
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17
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Dahlberg PD, Boughter CT, Faruk NF, Hong L, Koh YH, Reyer MA, Shaiber A, Sherani A, Zhang J, Jureller JE, Hammond AT. A simple approach to spectrally resolved fluorescence and bright field microscopy over select regions of interest. Rev Sci Instrum 2016; 87:113704. [PMID: 27910631 PMCID: PMC5135713 DOI: 10.1063/1.4967274] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Accepted: 10/11/2016] [Indexed: 06/06/2023]
Abstract
A standard wide field inverted microscope was converted to a spatially selective spectrally resolved microscope through the addition of a polarizing beam splitter, a pair of polarizers, an amplitude-mode liquid crystal-spatial light modulator, and a USB spectrometer. The instrument is capable of simultaneously imaging and acquiring spectra over user defined regions of interest. The microscope can also be operated in a bright-field mode to acquire absorption spectra of micron scale objects. The utility of the instrument is demonstrated on three different samples. First, the instrument is used to resolve three differently labeled fluorescent beads in vitro. Second, the instrument is used to recover time dependent bleaching dynamics that have distinct spectral changes in the cyanobacteria, Synechococcus leopoliensis UTEX 625. Lastly, the technique is used to acquire the absorption spectra of CH3NH3PbBr3 perovskites and measure differences between nanocrystal films and micron scale crystals.
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Affiliation(s)
- Peter D Dahlberg
- Graduate Program in the Biophysical Sciences, Institute for Biophysical Dynamics, and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA
| | - Christopher T Boughter
- Graduate Program in the Biophysical Sciences, Institute for Biophysical Dynamics, and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA
| | - Nabil F Faruk
- Graduate Program in the Biophysical Sciences, Institute for Biophysical Dynamics, and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA
| | - Lu Hong
- Graduate Program in the Biophysical Sciences, Institute for Biophysical Dynamics, and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA
| | - Young Hoon Koh
- Graduate Program in the Biophysical Sciences, Institute for Biophysical Dynamics, and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA
| | - Matthew A Reyer
- Graduate Program in the Biophysical Sciences, Institute for Biophysical Dynamics, and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA
| | - Alon Shaiber
- Graduate Program in the Biophysical Sciences, Institute for Biophysical Dynamics, and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA
| | - Aiman Sherani
- Graduate Program in the Biophysical Sciences, Institute for Biophysical Dynamics, and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA
| | - Jiacheng Zhang
- Graduate Program in the Biophysical Sciences, Institute for Biophysical Dynamics, and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA
| | - Justin E Jureller
- Graduate Program in the Biophysical Sciences, Institute for Biophysical Dynamics, and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA
| | - Adam T Hammond
- Graduate Program in the Biophysical Sciences, Institute for Biophysical Dynamics, and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA
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