1
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Schadt C, Martin S, Carrell A, Fortner A, Hopp D, Jacobson D, Klingeman D, Kristy B, Phillips J, Piatkowski B, Miller MA, Smith M, Patil S, Flynn M, Canon S, Clum A, Mungall CJ, Pennacchio C, Bowen B, Louie K, Northen T, Eloe-Fadrosh EA, Mayes MA, Muchero W, Weston DJ, Mitchell J, Doktycz M. An integrated metagenomic, metabolomic and transcriptomic survey of Populus across genotypes and environments. Sci Data 2024; 11:339. [PMID: 38580669 PMCID: PMC10997577 DOI: 10.1038/s41597-024-03069-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 02/13/2024] [Indexed: 04/07/2024] Open
Abstract
Bridging molecular information to ecosystem-level processes would provide the capacity to understand system vulnerability and, potentially, a means for assessing ecosystem health. Here, we present an integrated dataset containing environmental and metagenomic information from plant-associated microbial communities, plant transcriptomics, plant and soil metabolomics, and soil chemistry and activity characterization measurements derived from the model tree species Populus trichocarpa. Soil, rhizosphere, root endosphere, and leaf samples were collected from 27 different P. trichocarpa genotypes grown in two different environments leading to an integrated dataset of 318 metagenomes, 98 plant transcriptomes, and 314 metabolomic profiles that are supported by diverse soil measurements. This expansive dataset will provide insights into causal linkages that relate genomic features and molecular level events to system-level properties and their environmental influences.
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Affiliation(s)
- Christopher Schadt
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
| | - Stanton Martin
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
| | - Alyssa Carrell
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Allison Fortner
- Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Dan Hopp
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Dan Jacobson
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Dawn Klingeman
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Brandon Kristy
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Jana Phillips
- Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Bryan Piatkowski
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
- Division of Computational Biology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Mark A Miller
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Montana Smith
- Pacific Northwest National Laboratory, Richland, WA, 99354, USA
| | - Sujay Patil
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Mark Flynn
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
| | - Shane Canon
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Alicia Clum
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Christopher J Mungall
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Christa Pennacchio
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Benjamin Bowen
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Katherine Louie
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Trent Northen
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Emiley A Eloe-Fadrosh
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Melanie A Mayes
- Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | | | - David J Weston
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Julie Mitchell
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Mitchel Doktycz
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
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2
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Nguyen TM, Pombubpa N, Huntemann M, Clum A, Foster B, Foster B, Roux S, Palaniappan K, Varghese N, Mukherjee S, Reddy TBK, Daum C, Copeland A, Chen IMA, Ivanova NN, Kyrpides NC, Harmon-Smith M, Eloe-Fadrosh EA, Pietrasiak N, Stajich JE, Hom EFY. Whole community shotgun metagenomes of two biological soil crust types from the Mojave Desert. Microbiol Resour Announc 2024; 13:e0098023. [PMID: 38329355 DOI: 10.1128/mra.00980-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 01/23/2024] [Indexed: 02/09/2024] Open
Abstract
We present six whole community shotgun metagenomic sequencing data sets of two types of biological soil crusts sampled at the ecotone of the Mojave Desert and Colorado Desert in California. These data will help us understand the diversity and function of biocrust microbial communities, which are essential for desert ecosystems.
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Affiliation(s)
- Thuy M Nguyen
- Department of Biology and Center for Biodiversity and Conservation Research, University of Mississippi, University, Mississippi, USA
| | - Nuttapon Pombubpa
- Department of Microbiology and Plant Pathology, University of California, Riverside, California, USA
| | - Marcel Huntemann
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Alicia Clum
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Brian Foster
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Bryce Foster
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Simon Roux
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Krishnaveni Palaniappan
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Neha Varghese
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Supratim Mukherjee
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - T B K Reddy
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Chris Daum
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Alex Copeland
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - I-Min A Chen
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Natalia N Ivanova
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Nikos C Kyrpides
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Miranda Harmon-Smith
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Emiley A Eloe-Fadrosh
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Nicole Pietrasiak
- School of Life Sciences, University of Nevada-Las Vegas, Las Vegas, Nevada, USA
| | - Jason E Stajich
- Department of Microbiology and Plant Pathology, University of California, Riverside, California, USA
| | - Erik F Y Hom
- Department of Biology and Center for Biodiversity and Conservation Research, University of Mississippi, University, Mississippi, USA
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3
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Lee JY, Tiffany CR, Mahan SP, Kellom M, Rogers AWL, Nguyen H, Stevens ET, Masson HLP, Yamazaki K, Marco ML, Eloe-Fadrosh EA, Turnbaugh PJ, Bäumler AJ. High fat intake sustains sorbitol intolerance after antibiotic-mediated Clostridia depletion from the gut microbiota. Cell 2024; 187:1191-1205.e15. [PMID: 38366592 PMCID: PMC11023689 DOI: 10.1016/j.cell.2024.01.029] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 09/27/2023] [Accepted: 01/18/2024] [Indexed: 02/18/2024]
Abstract
Carbohydrate intolerance, commonly linked to the consumption of lactose, fructose, or sorbitol, affects up to 30% of the population in high-income countries. Although sorbitol intolerance is attributed to malabsorption, the underlying mechanism remains unresolved. Here, we show that a history of antibiotic exposure combined with high fat intake triggered long-lasting sorbitol intolerance in mice by reducing Clostridia abundance, which impaired microbial sorbitol catabolism. The restoration of sorbitol catabolism by inoculation with probiotic Escherichia coli protected mice against sorbitol intolerance but did not restore Clostridia abundance. Inoculation with the butyrate producer Anaerostipes caccae restored a normal Clostridia abundance, which protected mice against sorbitol-induced diarrhea even when the probiotic was cleared. Butyrate restored Clostridia abundance by stimulating epithelial peroxisome proliferator-activated receptor-gamma (PPAR-γ) signaling to restore epithelial hypoxia in the colon. Collectively, these mechanistic insights identify microbial sorbitol catabolism as a potential target for approaches for the diagnosis, treatment, and prevention of sorbitol intolerance.
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Affiliation(s)
- Jee-Yon Lee
- Department of Medical Microbiology and Immunology, School of Medicine, University of California at Davis, One Shields Ave, Davis, CA 95616, USA
| | - Connor R Tiffany
- Department of Medical Microbiology and Immunology, School of Medicine, University of California at Davis, One Shields Ave, Davis, CA 95616, USA
| | - Scott P Mahan
- Department of Medical Microbiology and Immunology, School of Medicine, University of California at Davis, One Shields Ave, Davis, CA 95616, USA
| | - Matthew Kellom
- Environmental Genomics & Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Andrew W L Rogers
- Department of Medical Microbiology and Immunology, School of Medicine, University of California at Davis, One Shields Ave, Davis, CA 95616, USA
| | - Henry Nguyen
- Department of Medical Microbiology and Immunology, School of Medicine, University of California at Davis, One Shields Ave, Davis, CA 95616, USA
| | - Eric T Stevens
- Department of Food Science and Technology, University of California at Davis, Davis, CA 95616, USA
| | - Hugo L P Masson
- Department of Medical Microbiology and Immunology, School of Medicine, University of California at Davis, One Shields Ave, Davis, CA 95616, USA
| | - Kohei Yamazaki
- Department of Medical Microbiology and Immunology, School of Medicine, University of California at Davis, One Shields Ave, Davis, CA 95616, USA; Laboratory of Veterinary Public Health, School of Veterinary Medicine, Kitasato University, Towada, Japan
| | - Maria L Marco
- Department of Food Science and Technology, University of California at Davis, Davis, CA 95616, USA
| | - Emiley A Eloe-Fadrosh
- Environmental Genomics & Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Peter J Turnbaugh
- Department of Microbiology & Immunology, University of California, San Francisco, San Francisco, CA 94143, USA; Chan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA
| | - Andreas J Bäumler
- Department of Medical Microbiology and Immunology, School of Medicine, University of California at Davis, One Shields Ave, Davis, CA 95616, USA.
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4
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Nguyen TM, Pombubpa N, Huntemann M, Clum A, Foster B, Foster B, Roux S, Palaniappan K, Varghese N, Mukherjee S, Reddy TBK, Daum C, Copeland A, Chen IMA, Ivanova NN, Kyrpides NC, Harmon-Smith M, Eloe-Fadrosh EA, Pietrasiak N, Stajich JE, Hom EFY. Metatranscriptomes of two biological soil crust types from the Mojave desert in response to wetting. Microbiol Resour Announc 2024; 13:e0108023. [PMID: 38189307 PMCID: PMC10868201 DOI: 10.1128/mra.01080-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 12/13/2023] [Indexed: 01/09/2024] Open
Abstract
We present eight metatranscriptomic datasets of light algal and cyanolichen biological soil crusts from the Mojave Desert in response to wetting. These data will help us understand gene expression patterns in desert biocrust microbial communities after they have been reactivated by the addition of water.
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Affiliation(s)
- Thuy M. Nguyen
- Department of Biology and Center for Biodiversity and Conservation Research, University, University of Mississippi, Mississippi, USA
| | - Nuttapon Pombubpa
- Department of Microbiology and Plant Pathology, University of California, Riverside, California, USA
| | - Marcel Huntemann
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Alicia Clum
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Brian Foster
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Bryce Foster
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Simon Roux
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Krishnaveni Palaniappan
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Neha Varghese
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Supratim Mukherjee
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - T. B. K. Reddy
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Chris Daum
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Alex Copeland
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - I-Min A. Chen
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Natalia N. Ivanova
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Nikos C. Kyrpides
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Miranda Harmon-Smith
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Emiley A. Eloe-Fadrosh
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Nicole Pietrasiak
- School of Life Sciences, University of Nevada-Las Vegas, Las Vegas, Nevada, USA
| | - Jason E. Stajich
- Department of Microbiology and Plant Pathology, University of California, Riverside, California, USA
| | - Erik F. Y. Hom
- Department of Biology and Center for Biodiversity and Conservation Research, University, University of Mississippi, Mississippi, USA
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5
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Coclet C, Sorensen PO, Karaoz U, Wang S, Brodie EL, Eloe-Fadrosh EA, Roux S. Virus diversity and activity is driven by snowmelt and host dynamics in a high-altitude watershed soil ecosystem. Microbiome 2023; 11:237. [PMID: 37891627 PMCID: PMC10604447 DOI: 10.1186/s40168-023-01666-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 09/07/2023] [Indexed: 10/29/2023]
Abstract
BACKGROUND Viruses impact nearly all organisms on Earth, including microbial communities and their associated biogeochemical processes. In soils, highly diverse viral communities have been identified, with a global distribution seemingly driven by multiple biotic and abiotic factors, especially soil temperature and moisture. However, our current understanding of the stability of soil viral communities across time and their response to strong seasonal changes in environmental parameters remains limited. Here, we investigated the diversity and activity of environmental soil DNA and RNA viruses, focusing especially on bacteriophages, across dynamics' seasonal changes in a snow-dominated mountainous watershed by examining paired metagenomes and metatranscriptomes. RESULTS We identified a large number of DNA and RNA viruses taxonomically divergent from existing environmental viruses, including a significant proportion of fungal RNA viruses, and a large and unsuspected diversity of positive single-stranded RNA phages (Leviviricetes), highlighting the under-characterization of the global soil virosphere. Among these, we were able to distinguish subsets of active DNA and RNA phages that changed across seasons, consistent with a "seed-bank" viral community structure in which new phage activity, for example, replication and host lysis, is sequentially triggered by changes in environmental conditions. At the population level, we further identified virus-host dynamics matching two existing ecological models: "Kill-The-Winner" which proposes that lytic phages are actively infecting abundant bacteria, and "Piggyback-The-Persistent" which argues that when the host is growing slowly, it is more beneficial to remain in a dormant state. The former was associated with summer months of high and rapid microbial activity, and the latter with winter months of limited and slow host growth. CONCLUSION Taken together, these results suggest that the high diversity of viruses in soils is likely associated with a broad range of host interaction types each adapted to specific host ecological strategies and environmental conditions. As our understanding of how environmental and host factors drive viral activity in soil ecosystems progresses, integrating these viral impacts in complex natural microbiome models will be key to accurately predict ecosystem biogeochemistry. Video Abstract.
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Affiliation(s)
- Clement Coclet
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
| | - Patrick O Sorensen
- Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Ulas Karaoz
- Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Shi Wang
- Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Eoin L Brodie
- Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Department of Environmental Science, Policy and Management, University of California, Berkeley, Berkeley, CA, USA
| | - Emiley A Eloe-Fadrosh
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Simon Roux
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
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6
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Blum LN, Colman DR, Eloe-Fadrosh EA, Kellom M, Boyd ES, Zhaxybayeva O, Leavitt WD. Distribution and abundance of tetraether lipid cyclization genes in terrestrial hot springs reflect pH. Environ Microbiol 2023; 25:1644-1658. [PMID: 37032561 DOI: 10.1111/1462-2920.16375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 03/15/2023] [Indexed: 04/11/2023]
Abstract
Many Archaea produce membrane-spanning lipids that enable life in extreme environments. These isoprenoid glycerol dibiphytanyl glycerol tetraethers (GDGTs) may contain up to eight cyclopentyl and one cyclohexyl ring, where higher degrees of cyclization are associated with more acidic, hotter or energy-limited conditions. Recently, the genes encoding GDGT ring synthases, grsAB, were identified in two Sulfolobaceae; however, the distribution and abundance of grs homologs across environments inhabited by these and related organisms remain a mystery. To address this, we examined the distribution of grs homologs in relation to environmental temperature and pH, from thermal springs across Earth, where sequences derive from metagenomes, metatranscriptomes, single-cell and cultivar genomes. The abundance of grs homologs shows a strong negative correlation to pH, but a weak positive correlation to temperature. Archaeal genomes and metagenome-assembled genomes (MAGs) that carry two or more grs copies are more abundant in low pH springs. We also find grs in 12 archaeal classes, with the most representatives in Thermoproteia, followed by MAGs of the uncultured Korarchaeia, Bathyarchaeia and Hadarchaeia, while several Nitrososphaeria encodes >3 copies. Our findings highlight the key role of grs-catalysed lipid cyclization in archaeal diversification across hot and acidic environments.
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Affiliation(s)
- Laura N Blum
- Department of Earth Sciences, Dartmouth College, Hanover, New Hampshire, USA
- Department of Energy Joint Genome Institute, Berkeley, California, USA
| | - Daniel R Colman
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, Montana, USA
| | | | - Matthew Kellom
- Department of Energy Joint Genome Institute, Berkeley, California, USA
| | - Eric S Boyd
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, Montana, USA
| | - Olga Zhaxybayeva
- Department of Biological Sciences, Dartmouth College, Hanover, New Hampshire, USA
| | - William D Leavitt
- Department of Earth Sciences, Dartmouth College, Hanover, New Hampshire, USA
- Department of Chemistry, Dartmouth College, Hanover, New Hampshire, USA
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7
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Vyshenska D, Sampara P, Singh K, Tomatsu A, Kauffman WB, Nuccio EE, Blazewicz SJ, Pett-Ridge J, Louie KB, Varghese N, Kellom M, Clum A, Riley R, Roux S, Eloe-Fadrosh EA, Ziels RM, Malmstrom RR. A standardized quantitative analysis strategy for stable isotope probing metagenomics. mSystems 2023; 8:e0128022. [PMID: 37377419 PMCID: PMC10469821 DOI: 10.1128/msystems.01280-22] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 04/19/2023] [Indexed: 06/29/2023] Open
Abstract
Stable isotope probing (SIP) facilitates culture-independent identification of active microbial populations within complex ecosystems through isotopic enrichment of nucleic acids. Many DNA-SIP studies rely on 16S rRNA gene sequences to identify active taxa, but connecting these sequences to specific bacterial genomes is often challenging. Here, we describe a standardized laboratory and analysis framework to quantify isotopic enrichment on a per-genome basis using shotgun metagenomics instead of 16S rRNA gene sequencing. To develop this framework, we explored various sample processing and analysis approaches using a designed microbiome where the identity of labeled genomes and their level of isotopic enrichment were experimentally controlled. With this ground truth dataset, we empirically assessed the accuracy of different analytical models for identifying active taxa and examined how sequencing depth impacts the detection of isotopically labeled genomes. We also demonstrate that using synthetic DNA internal standards to measure absolute genome abundances in SIP density fractions improves estimates of isotopic enrichment. In addition, our study illustrates the utility of internal standards to reveal anomalies in sample handling that could negatively impact SIP metagenomic analyses if left undetected. Finally, we present SIPmg, an R package to facilitate the estimation of absolute abundances and perform statistical analyses for identifying labeled genomes within SIP metagenomic data. This experimentally validated analysis framework strengthens the foundation of DNA-SIP metagenomics as a tool for accurately measuring the in situ activity of environmental microbial populations and assessing their genomic potential. IMPORTANCE Answering the questions, "who is eating what?" and "who is active?" within complex microbial communities is paramount for our ability to model, predict, and modulate microbiomes for improved human and planetary health. These questions can be pursued using stable isotope probing to track the incorporation of labeled compounds into cellular DNA during microbial growth. However, with traditional stable isotope methods, it is challenging to establish links between an active microorganism's taxonomic identity and genome composition while providing quantitative estimates of the microorganism's isotope incorporation rate. Here, we report an experimental and analytical workflow that lays the foundation for improved detection of metabolically active microorganisms and better quantitative estimates of genome-resolved isotope incorporation, which can be used to further refine ecosystem-scale models for carbon and nutrient fluxes within microbiomes.
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Affiliation(s)
- Dariia Vyshenska
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Pranav Sampara
- Department of Civil Engineering, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Kanwar Singh
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Andy Tomatsu
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - W. Berkeley Kauffman
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Erin E. Nuccio
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA
| | - Steven J. Blazewicz
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA
| | - Jennifer Pett-Ridge
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA
- Life & Environmental Sciences Department, University of California Merced, Merced, California, USA
| | - Katherine B. Louie
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Neha Varghese
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Matthew Kellom
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Alicia Clum
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Robert Riley
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Simon Roux
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Emiley A. Eloe-Fadrosh
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Ryan M. Ziels
- Department of Civil Engineering, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Rex R. Malmstrom
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, California, USA
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8
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Riley R, Bowers RM, Camargo AP, Campbell A, Egan R, Eloe-Fadrosh EA, Foster B, Hofmeyr S, Huntemann M, Kellom M, Kimbrel JA, Oliker L, Yelick K, Pett-Ridge J, Salamov A, Varghese NJ, Clum A. Terabase-Scale Coassembly of a Tropical Soil Microbiome. Microbiol Spectr 2023; 11:e0020023. [PMID: 37310219 PMCID: PMC10434106 DOI: 10.1128/spectrum.00200-23] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 05/24/2023] [Indexed: 06/14/2023] Open
Abstract
Petabases of environmental metagenomic data are publicly available, presenting an opportunity to characterize complex environments and discover novel lineages of life. Metagenome coassembly, in which many metagenomic samples from an environment are simultaneously analyzed to infer the underlying genomes' sequences, is an essential tool for achieving this goal. We applied MetaHipMer2, a distributed metagenome assembler that runs on supercomputing clusters, to coassemble 3.4 terabases (Tbp) of metagenome data from a tropical soil in the Luquillo Experimental Forest (LEF), Puerto Rico. The resulting coassembly yielded 39 high-quality (>90% complete, <5% contaminated, with predicted 23S, 16S, and 5S rRNA genes and ≥18 tRNAs) metagenome-assembled genomes (MAGs), including two from the candidate phylum Eremiobacterota. Another 268 medium-quality (≥50% complete, <10% contaminated) MAGs were extracted, including the candidate phyla Dependentiae, Dormibacterota, and Methylomirabilota. In total, 307 medium- or higher-quality MAGs were assigned to 23 phyla, compared to 294 MAGs assigned to nine phyla in the same samples individually assembled. The low-quality (<50% complete, <10% contaminated) MAGs from the coassembly revealed a 49% complete rare biosphere microbe from the candidate phylum FCPU426 among other low-abundance microbes, an 81% complete fungal genome from the phylum Ascomycota, and 30 partial eukaryotic MAGs with ≥10% completeness, possibly representing protist lineages. A total of 22,254 viruses, many of them low abundance, were identified. Estimation of metagenome coverage and diversity indicates that we may have characterized ≥87.5% of the sequence diversity in this humid tropical soil and indicates the value of future terabase-scale sequencing and coassembly of complex environments. IMPORTANCE Petabases of reads are being produced by environmental metagenome sequencing. An essential step in analyzing these data is metagenome assembly, the computational reconstruction of genome sequences from microbial communities. "Coassembly" of metagenomic sequence data, in which multiple samples are assembled together, enables more complete detection of microbial genomes in an environment than "multiassembly," in which samples are assembled individually. To demonstrate the potential for coassembling terabases of metagenome data to drive biological discovery, we applied MetaHipMer2, a distributed metagenome assembler that runs on supercomputing clusters, to coassemble 3.4 Tbp of reads from a humid tropical soil environment. The resulting coassembly, its functional annotation, and analysis are presented here. The coassembly yielded more, and phylogenetically more diverse, microbial, eukaryotic, and viral genomes than the multiassembly of the same data. Our resource may facilitate the discovery of novel microbial biology in tropical soils and demonstrates the value of terabase-scale metagenome sequencing.
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Affiliation(s)
- Robert Riley
- Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA
| | - Robert M. Bowers
- Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA
| | - Antonio Pedro Camargo
- Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA
| | - Ashley Campbell
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA
| | - Rob Egan
- Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA
| | | | - Brian Foster
- Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA
| | - Steven Hofmeyr
- Applied Math and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Marcel Huntemann
- Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA
| | - Matthew Kellom
- Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA
| | - Jeffrey A. Kimbrel
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA
| | - Leonid Oliker
- Applied Math and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Katherine Yelick
- Applied Math and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA
| | - Jennifer Pett-Ridge
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA
- Life & Environmental Sciences Department, University of California Merced, Merced, California, USA
| | - Asaf Salamov
- Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA
| | - Neha J. Varghese
- Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA
| | - Alicia Clum
- Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley California, USA
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9
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Borton MA, McGivern BB, Willi KR, Woodcroft BJ, Mosier AC, Bambakidis T, Singleton DM, Liu F, Edirisinghe JN, Faria JP, Leleiwi I, Daly RA, Goldman AE, Wilkins MJ, Hall EK, Pennacchio C, Roux S, Eloe-Fadrosh EA, Sullivan MB, Henry CS, Wood-Charlson EM, Ross MRV, Miller CS, Crump BC, Stegen JC, Wrighton KC. A functional microbiome catalog crowdsourced from North American rivers. bioRxiv 2023:2023.07.22.550117. [PMID: 37502915 PMCID: PMC10370164 DOI: 10.1101/2023.07.22.550117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Predicting elemental cycles and maintaining water quality under increasing anthropogenic influence requires understanding the spatial drivers of river microbiomes. However, the unifying microbial determinants governing river biogeochemistry are hindered by a lack of genome-resolved functional insights and sampling across multiple rivers. Here we employed a community science effort to accelerate the sampling of river microbiomes to create the Genome Resolved Open Watersheds database (GROWdb). This resource profiled the identity, distribution, function, and expression of thousands of microbial genomes across rivers covering 90% of United States watersheds. We identified the most cosmopolitan microbiome members, while also revealing local drivers of strain endemism across ecological dimensions. We provide the first evidence that microbial functional trait expression followed the tenets of the River Continuum Concept, suggesting the structure and function of river microbiomes is predictable. GROWdb is a publicly available resource that paves the way for watershed predictive modeling and microbiome-based management practices.
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10
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Kelliher JM, Rudolph M, Vangay P, Abbas A, Borton MA, Davenport ER, Davenport KW, Erazo NG, Herman C, Karstens L, Kocurek B, Lutz HL, Myers KS, Ockert I, Rodriguez FE, Santistevan C, Saunders JK, Smith ML, Vogtmann E, Windsor A, Wood-Charlson EM, Woodley L, Eloe-Fadrosh EA. Cohort-based learning for microbiome research community standards. Nat Microbiol 2023; 8:751-753. [PMID: 37069400 DOI: 10.1038/s41564-023-01361-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2023]
Affiliation(s)
| | - Marisa Rudolph
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Pajau Vangay
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Arwa Abbas
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | | | | | | | - Natalia G Erazo
- Scripps Institution of Oceanography, UC San Diego, La Jolla, CA, USA
| | | | - Lisa Karstens
- Oregon Health and Science University, Portland, OR, USA
| | - Brandon Kocurek
- Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, USA
| | | | - Kevin S Myers
- Wisconsin Energy Institute and Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Ingrid Ockert
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | | | - Camille Santistevan
- Center for Scientific Collaboration and Community Engagement, Oakland, CA, USA
| | - Jaclyn K Saunders
- Woods Hole Oceanographic Institution, Falmouth, MA, USA
- University of Georgia, Athens, GA, USA
| | | | | | - Amanda Windsor
- Center for Food Safety and Applied Nutrition, Office of Regulatory Science, U.S. Food and Drug Administration, College Park, MD, USA
| | | | - Lou Woodley
- Center for Scientific Collaboration and Community Engagement, Oakland, CA, USA
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11
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Seshadri R, Roux S, Huber KJ, Wu D, Yu S, Udwary D, Call L, Nayfach S, Hahnke RL, Pukall R, White JR, Varghese NJ, Webb C, Palaniappan K, Reimer LC, Sardà J, Bertsch J, Mukherjee S, Reddy T, Hajek PP, Huntemann M, Chen IMA, Spunde A, Clum A, Shapiro N, Wu ZY, Zhao Z, Zhou Y, Evtushenko L, Thijs S, Stevens V, Eloe-Fadrosh EA, Mouncey NJ, Yoshikuni Y, Whitman WB, Klenk HP, Woyke T, Göker M, Kyrpides NC, Ivanova NN. Expanding the genomic encyclopedia of Actinobacteria with 824 isolate reference genomes. Cell Genom 2022; 2:100213. [PMID: 36778052 PMCID: PMC9903846 DOI: 10.1016/j.xgen.2022.100213] [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] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 07/19/2022] [Accepted: 10/16/2022] [Indexed: 11/13/2022]
Abstract
The phylum Actinobacteria includes important human pathogens like Mycobacterium tuberculosis and Corynebacterium diphtheriae and renowned producers of secondary metabolites of commercial interest, yet only a small part of its diversity is represented by sequenced genomes. Here, we present 824 actinobacterial isolate genomes in the context of a phylum-wide analysis of 6,700 genomes including public isolates and metagenome-assembled genomes (MAGs). We estimate that only 30%-50% of projected actinobacterial phylogenetic diversity possesses genomic representation via isolates and MAGs. A comparison of gene functions reveals novel determinants of host-microbe interaction as well as environment-specific adaptations such as potential antimicrobial peptides. We identify plasmids and prophages across isolates and uncover extensive prophage diversity structured mainly by host taxonomy. Analysis of >80,000 biosynthetic gene clusters reveals that horizontal gene transfer and gene loss shape secondary metabolite repertoire across taxa. Our observations illustrate the essential role of and need for high-quality isolate genome sequences.
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Affiliation(s)
- Rekha Seshadri
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA,Corresponding author
| | - Simon Roux
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - Katharina J. Huber
- Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Dongying Wu
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - Sora Yu
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Dan Udwary
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA,Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Lee Call
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - Stephen Nayfach
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - Richard L. Hahnke
- Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Rüdiger Pukall
- Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | | | - Neha J. Varghese
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - Cody Webb
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | | | - Lorenz C. Reimer
- Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Joaquim Sardà
- Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Jonathon Bertsch
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | | | - T.B.K. Reddy
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - Patrick P. Hajek
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - Marcel Huntemann
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - I-Min A. Chen
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - Alex Spunde
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - Alicia Clum
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - Nicole Shapiro
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - Zong-Yen Wu
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Zhiying Zhao
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - Yuguang Zhou
- China General Microbiological Culture Collection Center, Beijing, China
| | - Lyudmila Evtushenko
- Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences, All-Russian Collection of Microorganisms (VKM), Pushchino, Russia
| | - Sofie Thijs
- Center for Environmental Sciences, Environmental Biology, Hasselt University, Diepenbeek, Belgium
| | - Vincent Stevens
- Center for Environmental Sciences, Environmental Biology, Hasselt University, Diepenbeek, Belgium
| | - Emiley A. Eloe-Fadrosh
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA,Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Nigel J. Mouncey
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA,Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Yasuo Yoshikuni
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA,Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA,Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA,Center for Advanced Bioenergy and Bioproducts Innovation, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA,Global Institution for Collaborative Research and Education, Hokkaido University, Hokkaido 060-8589, Japan
| | | | - Hans-Peter Klenk
- School of Biology, Newcastle University, Newcastle upon Tyne, UK
| | - Tanja Woyke
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA,Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Markus Göker
- Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany,Corresponding author
| | - Nikos C. Kyrpides
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA,Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Natalia N. Ivanova
- US Department of Energy Joint Genome Institute, Berkeley, CA, USA,Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA,Corresponding author
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12
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Bowers RM, Nayfach S, Schulz F, Jungbluth SP, Ruhl IA, Sheremet A, Lee J, Goudeau D, Eloe-Fadrosh EA, Stepanauskas R, Malmstrom RR, Kyrpides NC, Dunfield PF, Woyke T. Dissecting the dominant hot spring microbial populations based on community-wide sampling at single-cell genomic resolution. ISME J 2022; 16:1337-1347. [PMID: 34969995 PMCID: PMC9039060 DOI: 10.1038/s41396-021-01178-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 11/29/2021] [Accepted: 12/10/2021] [Indexed: 02/07/2023]
Abstract
With advances in DNA sequencing and miniaturized molecular biology workflows, rapid and affordable sequencing of single-cell genomes has become a reality. Compared to 16S rRNA gene surveys and shotgun metagenomics, large-scale application of single-cell genomics to whole microbial communities provides an integrated snapshot of community composition and function, directly links mobile elements to their hosts, and enables analysis of population heterogeneity of the dominant community members. To that end, we sequenced nearly 500 single-cell genomes from a low diversity hot spring sediment sample from Dewar Creek, British Columbia, and compared this approach to 16S rRNA gene amplicon and shotgun metagenomics applied to the same sample. We found that the broad taxonomic profiles were similar across the three sequencing approaches, though several lineages were missing from the 16S rRNA gene amplicon dataset, likely the result of primer mismatches. At the functional level, we detected a large array of mobile genetic elements present in the single-cell genomes but absent from the corresponding same species metagenome-assembled genomes. Moreover, we performed a single-cell population genomic analysis of the three most abundant community members, revealing differences in population structure based on mutation and recombination profiles. While the average pairwise nucleotide identities were similar across the dominant species-level lineages, we observed differences in the extent of recombination between these dominant populations. Most intriguingly, the creek's Hydrogenobacter sp. population appeared to be so recombinogenic that it more closely resembled a sexual species than a clonally evolving microbe. Together, this work demonstrates that a randomized single-cell approach can be useful for the exploration of previously uncultivated microbes from community composition to population structure.
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Affiliation(s)
- Robert M. Bowers
- grid.451309.a0000 0004 0449 479XU.S. Department of Energy, Joint Genome Institute, Berkeley, CA USA
| | - Stephen Nayfach
- grid.451309.a0000 0004 0449 479XU.S. Department of Energy, Joint Genome Institute, Berkeley, CA USA
| | - Frederik Schulz
- grid.451309.a0000 0004 0449 479XU.S. Department of Energy, Joint Genome Institute, Berkeley, CA USA
| | - Sean P. Jungbluth
- grid.184769.50000 0001 2231 4551Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA USA
| | - Ilona A. Ruhl
- grid.22072.350000 0004 1936 7697Department of Biological Sciences, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4 Canada ,grid.419357.d0000 0001 2199 3636National Bioenergy Center, National Renewable Energy Laboratory, Golden, CO USA
| | - Andriy Sheremet
- grid.22072.350000 0004 1936 7697Department of Biological Sciences, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4 Canada
| | - Janey Lee
- grid.451309.a0000 0004 0449 479XU.S. Department of Energy, Joint Genome Institute, Berkeley, CA USA
| | - Danielle Goudeau
- grid.451309.a0000 0004 0449 479XU.S. Department of Energy, Joint Genome Institute, Berkeley, CA USA
| | - Emiley A. Eloe-Fadrosh
- grid.451309.a0000 0004 0449 479XU.S. Department of Energy, Joint Genome Institute, Berkeley, CA USA
| | - Ramunas Stepanauskas
- grid.296275.d0000 0000 9516 4913Bigelow Laboratory for Ocean Sciences, 60 Bigelow Drive, East Boothbay, ME USA
| | - Rex R. Malmstrom
- grid.451309.a0000 0004 0449 479XU.S. Department of Energy, Joint Genome Institute, Berkeley, CA USA
| | - Nikos C. Kyrpides
- grid.451309.a0000 0004 0449 479XU.S. Department of Energy, Joint Genome Institute, Berkeley, CA USA
| | - Peter F. Dunfield
- grid.22072.350000 0004 1936 7697Department of Biological Sciences, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N 1N4 Canada
| | - Tanja Woyke
- U.S. Department of Energy, Joint Genome Institute, Berkeley, CA, USA.
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13
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Ostrowski MP, La Rosa SL, Kunath BJ, Robertson A, Pereira G, Hagen LH, Varghese NJ, Qiu L, Yao T, Flint G, Li J, McDonald SP, Buttner D, Pudlo NA, Schnizlein MK, Young VB, Brumer H, Schmidt TM, Terrapon N, Lombard V, Henrissat B, Hamaker B, Eloe-Fadrosh EA, Tripathi A, Pope PB, Martens EC. Mechanistic insights into consumption of the food additive xanthan gum by the human gut microbiota. Nat Microbiol 2022; 7:556-569. [PMID: 35365790 DOI: 10.1038/s41564-022-01093-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 02/24/2022] [Indexed: 12/13/2022]
Abstract
Processed foods often include food additives such as xanthan gum, a complex polysaccharide with unique rheological properties, that has established widespread use as a stabilizer and thickening agent. Xanthan gum's chemical structure is distinct from those of host and dietary polysaccharides that are more commonly expected to transit the gastrointestinal tract, and little is known about its direct interaction with the gut microbiota, which plays a central role in digestion of other dietary fibre polysaccharides. Here we show that the ability to digest xanthan gum is common in human gut microbiomes from industrialized countries and appears contingent on a single uncultured bacterium in the family Ruminococcaceae. Our data reveal that this primary degrader cleaves the xanthan gum backbone before processing the released oligosaccharides using additional enzymes. Some individuals harbour Bacteroides intestinalis that is incapable of consuming polymeric xanthan gum but grows on oligosaccharide products generated by the Ruminococcaceae. Feeding xanthan gum to germfree mice colonized with a human microbiota containing the uncultured Ruminococcaceae supports the idea that the additive xanthan gum can drive expansion of the primary degrader Ruminococcaceae, along with exogenously introduced B. intestinalis. Our work demonstrates the existence of a potential xanthan gum food chain involving at least two members of different phyla of gut bacteria and provides an initial framework for understanding how widespread consumption of a recently introduced food additive influences human microbiomes.
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Affiliation(s)
- Matthew P Ostrowski
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA
| | - Sabina Leanti La Rosa
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.,Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway
| | - Benoit J Kunath
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway
| | - Andrew Robertson
- Life Sciences Institute: Natural Products Discovery Core, University of Michigan, Ann Arbor, MI, USA
| | - Gabriel Pereira
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA
| | - Live H Hagen
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway
| | | | - Ling Qiu
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA
| | - Tianming Yao
- Department of Food Science and Whistler Center for Carbohydrate Research, Purdue University, West Lafayette, IN, USA
| | - Gabrielle Flint
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA
| | - James Li
- Michael Smith Laboratories, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sean P McDonald
- Michael Smith Laboratories, University of British Columbia, Vancouver, British Columbia, Canada
| | - Duna Buttner
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas A Pudlo
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA
| | - Matthew K Schnizlein
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA
| | - Vincent B Young
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA.,Department of Internal Medicine, Infectious Diseases Division, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Harry Brumer
- Michael Smith Laboratories, University of British Columbia, Vancouver, British Columbia, Canada
| | - Thomas M Schmidt
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA
| | - Nicolas Terrapon
- Centre National de la Recherche Scientifique, Aix-Marseille Univ, Marseille, France.,Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Marseille, France
| | - Vincent Lombard
- Centre National de la Recherche Scientifique, Aix-Marseille Univ, Marseille, France.,Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Marseille, France
| | - Bernard Henrissat
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.,Technical University of Denmark, DTU Bioengineering, Lyngby, Denmark
| | - Bruce Hamaker
- Department of Food Science and Whistler Center for Carbohydrate Research, Purdue University, West Lafayette, IN, USA
| | | | - Ashootosh Tripathi
- Life Sciences Institute: Natural Products Discovery Core, University of Michigan, Ann Arbor, MI, USA
| | - Phillip B Pope
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway. .,Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.
| | - Eric C Martens
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA.
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14
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Pudlo NA, Pereira GV, Parnami J, Cid M, Markert S, Tingley JP, Unfried F, Ali A, Varghese NJ, Kim KS, Campbell A, Urs K, Xiao Y, Adams R, Martin D, Bolam DN, Becher D, Eloe-Fadrosh EA, Schmidt TM, Abbott DW, Schweder T, Hehemann JH, Martens EC. Diverse events have transferred genes for edible seaweed digestion from marine to human gut bacteria. Cell Host Microbe 2022; 30:314-328.e11. [PMID: 35240043 PMCID: PMC9096808 DOI: 10.1016/j.chom.2022.02.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [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: 11/21/2020] [Revised: 11/03/2021] [Accepted: 02/02/2022] [Indexed: 12/16/2022]
Abstract
Humans harbor numerous species of colonic bacteria that digest fiber polysaccharides in commonly consumed terrestrial plants. More recently in history, regional populations have consumed edible macroalgae seaweeds containing unique polysaccharides. It remains unclear how extensively gut bacteria have adapted to digest these nutrients. Here, we show that the ability of gut bacteria to digest seaweed polysaccharides is more pervasive than previously appreciated. Enrichment-cultured Bacteroides harbor previously discovered genes for seaweed degradation, which have mobilized into several members of this genus. Additionally, other examples of marine bacteria-derived genes, and their mobile DNA elements, are involved in gut microbial degradation of seaweed polysaccharides, including genes in gut-resident Firmicutes. Collectively, these results uncover multiple separate events that have mobilized the genes encoding seaweed-degrading-enzymes into gut bacteria. This work further underscores the metabolic plasticity of the human gut microbiome and global exchange of genes in the context of dietary selective pressures.
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Affiliation(s)
- Nicholas A Pudlo
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Jaagni Parnami
- Max Planck Institute for Marine Biology, Bremen, Germany
| | - Melissa Cid
- Max Planck Institute for Marine Biology, Bremen, Germany
| | - Stephanie Markert
- Pharmaceutical Biotechnology, University of Greifswald, 17487 Greifswald, Germany; Institute of Marine Biotechnology, 17489 Greifswald, Germany
| | - Jeffrey P Tingley
- Agriculture and Agri-Food Canada, Lethbridge Research and Development Centre, Lethbridge, AB, Canada
| | - Frank Unfried
- Institute of Marine Biotechnology, 17489 Greifswald, Germany
| | - Ahmed Ali
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Kwi S Kim
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Austin Campbell
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Karthik Urs
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Yao Xiao
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Ryan Adams
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Duña Martin
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA
| | - David N Bolam
- Institute for Cell and Molecular Biosciences, Newcastle University, Newcastle upon Tyne, UK
| | | | | | - Thomas M Schmidt
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - D Wade Abbott
- Agriculture and Agri-Food Canada, Lethbridge Research and Development Centre, Lethbridge, AB, Canada
| | - Thomas Schweder
- Pharmaceutical Biotechnology, University of Greifswald, 17487 Greifswald, Germany; Institute of Marine Biotechnology, 17489 Greifswald, Germany
| | - Jan Hendrik Hehemann
- Max Planck Institute for Marine Biology, Bremen, Germany; University of Bremen, Center for Marine Environmental Sciences (MARUM), 28359 Bremen, Germany.
| | - Eric C Martens
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA.
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15
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Hu B, Canon S, Eloe-Fadrosh EA, Anubhav, Babinski M, Corilo Y, Davenport K, Duncan WD, Fagnan K, Flynn M, Foster B, Hays D, Huntemann M, Jackson EKP, Kelliher J, Li PE, Lo CC, Mans D, McCue LA, Mouncey N, Mungall CJ, Piehowski PD, Purvine SO, Smith M, Varghese NJ, Winston D, Xu Y, Chain PSG. Challenges in Bioinformatics Workflows for Processing Microbiome Omics Data at Scale. Front Bioinform 2022; 1:826370. [PMID: 36303775 PMCID: PMC9580927 DOI: 10.3389/fbinf.2021.826370] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 12/28/2021] [Indexed: 04/12/2024] Open
Abstract
The nascent field of microbiome science is transitioning from a descriptive approach of cataloging taxa and functions present in an environment to applying multi-omics methods to investigate microbiome dynamics and function. A large number of new tools and algorithms have been designed and used for very specific purposes on samples collected by individual investigators or groups. While these developments have been quite instructive, the ability to compare microbiome data generated by many groups of researchers is impeded by the lack of standardized application of bioinformatics methods. Additionally, there are few examples of broad bioinformatics workflows that can process metagenome, metatranscriptome, metaproteome and metabolomic data at scale, and no central hub that allows processing, or provides varied omics data that are findable, accessible, interoperable and reusable (FAIR). Here, we review some of the challenges that exist in analyzing omics data within the microbiome research sphere, and provide context on how the National Microbiome Data Collaborative has adopted a standardized and open access approach to address such challenges.
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Affiliation(s)
- Bin Hu
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, United States
| | - Shane Canon
- Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | | | - Anubhav
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Michal Babinski
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, United States
| | - Yuri Corilo
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Karen Davenport
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, United States
| | | | - Kjiersten Fagnan
- Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Mark Flynn
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, United States
| | - Brian Foster
- Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - David Hays
- Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Marcel Huntemann
- Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | | | - Julia Kelliher
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, United States
| | - Po-E. Li
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, United States
| | - Chien-Chi Lo
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, United States
| | - Douglas Mans
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Lee Ann McCue
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Nigel Mouncey
- Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | | | - Paul D. Piehowski
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Samuel O. Purvine
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Montana Smith
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States
| | | | | | - Yan Xu
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, United States
| | - Patrick S. G. Chain
- Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, United States
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16
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Roux S, Paul BG, Bagby SC, Nayfach S, Allen MA, Attwood G, Cavicchioli R, Chistoserdova L, Gruninger RJ, Hallam SJ, Hernandez ME, Hess M, Liu WT, McAllister TA, O'Malley MA, Peng X, Rich VI, Saleska SR, Eloe-Fadrosh EA. Ecology and molecular targets of hypermutation in the global microbiome. Nat Commun 2021; 12:3076. [PMID: 34031405 PMCID: PMC8144416 DOI: 10.1038/s41467-021-23402-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 04/27/2021] [Indexed: 02/04/2023] Open
Abstract
Changes in the sequence of an organism's genome, i.e., mutations, are the raw material of evolution. The frequency and location of mutations can be constrained by specific molecular mechanisms, such as diversity-generating retroelements (DGRs). DGRs have been characterized from cultivated bacteria and bacteriophages, and perform error-prone reverse transcription leading to mutations being introduced in specific target genes. DGR loci were also identified in several metagenomes, but the ecological roles and evolutionary drivers of these DGRs remain poorly understood. Here, we analyze a dataset of >30,000 DGRs from public metagenomes, establish six major lineages of DGRs including three primarily encoded by phages and seemingly used to diversify host attachment proteins, and demonstrate that DGRs are broadly active and responsible for >10% of all amino acid changes in some organisms. Overall, these results highlight the constraints under which DGRs evolve, and elucidate several distinct roles these elements play in natural communities.
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Affiliation(s)
- Simon Roux
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
| | - Blair G Paul
- Marine Biological Laboratory, Woods Hole, MA, USA
| | - Sarah C Bagby
- Department of Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Stephen Nayfach
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | | | - Graeme Attwood
- AgResearch Limited, Grasslands Research Centre, Palmerston North, New Zealand
| | | | | | - Robert J Gruninger
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, Alberta, Canada
| | - Steven J Hallam
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, Canada
- Graduate Program in Bioinformatics, University of British Columbia, Genome Sciences Centre, Vancouver, Canada
- Genome Science and Technology Program, University of British Columbia, Vancouver, Canada
- Life Sciences Institute, University of British Columbia, Vancouver, Canada
- ECOSCOPE Training Program, University of British Columbia, Vancouver, Canada
| | - Maria E Hernandez
- Instituto de Ecología A.C. Red de Manejo Biotechnológico de Recursos. Xalapa, Veracruz, México
| | | | - Wen-Tso Liu
- University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Tim A McAllister
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada, Lethbridge, Alberta, Canada
| | - Michelle A O'Malley
- Department of Chemical Engineering, University of California Santa Barbara, Santa Barbara, CA, USA
| | - Xuefeng Peng
- Marine Science Institute, University of California Santa Barbara, Santa Barbara, CA, USA
| | | | | | - Emiley A Eloe-Fadrosh
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
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17
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Nayfach S, Roux S, Seshadri R, Udwary D, Varghese N, Schulz F, Wu D, Paez-Espino D, Chen IM, Huntemann M, Palaniappan K, Ladau J, Mukherjee S, Reddy TBK, Nielsen T, Kirton E, Faria JP, Edirisinghe JN, Henry CS, Jungbluth SP, Chivian D, Dehal P, Wood-Charlson EM, Arkin AP, Tringe SG, Visel A, Woyke T, Mouncey NJ, Ivanova NN, Kyrpides NC, Eloe-Fadrosh EA. Author Correction: A genomic catalog of Earth's microbiomes. Nat Biotechnol 2021; 39:521. [PMID: 33795890 PMCID: PMC8041621 DOI: 10.1038/s41587-021-00898-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
| | - Simon Roux
- DOE Joint Genome Institute, Berkeley, CA, USA
| | | | | | | | | | - Dongying Wu
- DOE Joint Genome Institute, Berkeley, CA, USA
| | | | - I-Min Chen
- DOE Joint Genome Institute, Berkeley, CA, USA
| | | | | | | | | | - T B K Reddy
- DOE Joint Genome Institute, Berkeley, CA, USA
| | | | | | | | | | | | - Sean P Jungbluth
- DOE Joint Genome Institute, Berkeley, CA, USA.,Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Dylan Chivian
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Paramvir Dehal
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | | | - Adam P Arkin
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | | | - Axel Visel
- DOE Joint Genome Institute, Berkeley, CA, USA
| | | | - Tanja Woyke
- DOE Joint Genome Institute, Berkeley, CA, USA
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18
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Rasmussen AN, Damashek J, Eloe-Fadrosh EA, Francis CA. In-depth Spatiotemporal Characterization of Planktonic Archaeal and Bacterial Communities in North and South San Francisco Bay. Microb Ecol 2021; 81:601-616. [PMID: 33150499 DOI: 10.1007/s00248-020-01621-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 10/12/2020] [Indexed: 06/11/2023]
Abstract
Despite being the largest estuary on the west coast of North America, no in-depth survey of microbial communities in San Francisco Bay (SFB) waters currently exists. In this study, we analyze bacterioplankton and archaeoplankton communities at several taxonomic levels and spatial extents (i.e., North versus South Bay) to reveal patterns in alpha and beta diversity. We assess communities using high-throughput sequencing of the 16S rRNA gene in 177 water column samples collected along a 150-km transect over a 2-year monthly time-series. In North Bay, the microbial community is strongly structured by spatial salinity changes while in South Bay seasonal variations dominate community dynamics. Along the steep salinity gradient in North Bay, we find that operational taxonomic units (OTUs; 97% identity) have higher site specificity than at coarser taxonomic levels and turnover ("species" replacement) is high, revealing a distinct brackish community (in oligo-, meso-, and polyhaline samples) from fresh and marine end-members. At coarser taxonomic levels (e.g., phylum, class), taxa are broadly distributed across salinity zones (i.e., present/abundant in a large number of samples) and brackish communities appear to be a mix of fresh and marine communities. We also observe variations in brackish communities between samples with similar salinities, likely related to differences in water residence times between North and South Bay. Throughout SFB, suspended particulate matter is positively correlated with richness and influences changes in beta diversity. Within several abundant groups, including the SAR11 clade (comprising up to 30% of reads in a sample), OTUs appear to be specialized to a specific salinity range. Some other organisms also showed pronounced seasonal abundance, including Synechococcus, Ca. Actinomarina, and Nitrosopumilus-like OTUs. Overall, this study represents the first in-depth spatiotemporal survey of SFB microbial communities and provides insight into how planktonic microorganisms have specialized to different niches along the salinity gradient.
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Affiliation(s)
- Anna N Rasmussen
- Department of Earth System Science, Stanford University, 473 Via Ortega, Y2E2 Bldg Rm 140, Stanford, CA, 94305, USA
| | - Julian Damashek
- Department of Earth System Science, Stanford University, 473 Via Ortega, Y2E2 Bldg Rm 140, Stanford, CA, 94305, USA
- Department of Biology, Utica College, Utica, NY, 13502, USA
| | - Emiley A Eloe-Fadrosh
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | - Christopher A Francis
- Department of Earth System Science, Stanford University, 473 Via Ortega, Y2E2 Bldg Rm 140, Stanford, CA, 94305, USA.
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19
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Nayfach S, Roux S, Seshadri R, Udwary D, Varghese N, Schulz F, Wu D, Paez-Espino D, Chen IM, Huntemann M, Palaniappan K, Ladau J, Mukherjee S, Reddy TBK, Nielsen T, Kirton E, Faria JP, Edirisinghe JN, Henry CS, Jungbluth SP, Chivian D, Dehal P, Wood-Charlson EM, Arkin AP, Tringe SG, Visel A, Woyke T, Mouncey NJ, Ivanova NN, Kyrpides NC, Eloe-Fadrosh EA. A genomic catalog of Earth's microbiomes. Nat Biotechnol 2021; 39:499-509. [PMID: 33169036 PMCID: PMC8041624 DOI: 10.1038/s41587-020-0718-6] [Citation(s) in RCA: 307] [Impact Index Per Article: 102.3] [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: 12/24/2019] [Accepted: 09/28/2020] [Indexed: 01/02/2023]
Abstract
The reconstruction of bacterial and archaeal genomes from shotgun metagenomes has enabled insights into the ecology and evolution of environmental and host-associated microbiomes. Here we applied this approach to >10,000 metagenomes collected from diverse habitats covering all of Earth's continents and oceans, including metagenomes from human and animal hosts, engineered environments, and natural and agricultural soils, to capture extant microbial, metabolic and functional potential. This comprehensive catalog includes 52,515 metagenome-assembled genomes representing 12,556 novel candidate species-level operational taxonomic units spanning 135 phyla. The catalog expands the known phylogenetic diversity of bacteria and archaea by 44% and is broadly available for streamlined comparative analyses, interactive exploration, metabolic modeling and bulk download. We demonstrate the utility of this collection for understanding secondary-metabolite biosynthetic potential and for resolving thousands of new host linkages to uncultivated viruses. This resource underscores the value of genome-centric approaches for revealing genomic properties of uncultivated microorganisms that affect ecosystem processes.
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Affiliation(s)
| | - Simon Roux
- DOE Joint Genome Institute, Berkeley, CA, USA
| | | | | | | | | | - Dongying Wu
- DOE Joint Genome Institute, Berkeley, CA, USA
| | | | - I-Min Chen
- DOE Joint Genome Institute, Berkeley, CA, USA
| | | | | | | | | | - T B K Reddy
- DOE Joint Genome Institute, Berkeley, CA, USA
| | | | | | | | | | | | - Sean P Jungbluth
- DOE Joint Genome Institute, Berkeley, CA, USA
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Dylan Chivian
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Paramvir Dehal
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | | | - Adam P Arkin
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | | | - Axel Visel
- DOE Joint Genome Institute, Berkeley, CA, USA
| | - Tanja Woyke
- DOE Joint Genome Institute, Berkeley, CA, USA
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20
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Roux S, Páez-Espino D, Chen IMA, Palaniappan K, Ratner A, Chu K, Reddy TBK, Nayfach S, Schulz F, Call L, Neches RY, Woyke T, Ivanova NN, Eloe-Fadrosh EA, Kyrpides NC. IMG/VR v3: an integrated ecological and evolutionary framework for interrogating genomes of uncultivated viruses. Nucleic Acids Res 2021; 49:D764-D775. [PMID: 33137183 PMCID: PMC7778971 DOI: 10.1093/nar/gkaa946] [Citation(s) in RCA: 179] [Impact Index Per Article: 59.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 10/02/2020] [Accepted: 10/09/2020] [Indexed: 12/28/2022] Open
Abstract
Viruses are integral components of all ecosystems and microbiomes on Earth. Through pervasive infections of their cellular hosts, viruses can reshape microbial community structure and drive global nutrient cycling. Over the past decade, viral sequences identified from genomes and metagenomes have provided an unprecedented view of viral genome diversity in nature. Since 2016, the IMG/VR database has provided access to the largest collection of viral sequences obtained from (meta)genomes. Here, we present the third version of IMG/VR, composed of 18 373 cultivated and 2 314 329 uncultivated viral genomes (UViGs), nearly tripling the total number of sequences compared to the previous version. These clustered into 935 362 viral Operational Taxonomic Units (vOTUs), including 188 930 with two or more members. UViGs in IMG/VR are now reported as single viral contigs, integrated proviruses or genome bins, and are annotated with a new standardized pipeline including genome quality estimation using CheckV, taxonomic classification reflecting the latest ICTV update, and expanded host taxonomy prediction. The new IMG/VR interface enables users to efficiently browse, search, and select UViGs based on genome features and/or sequence similarity. IMG/VR v3 is available at https://img.jgi.doe.gov/vr, and the underlying data are available to download at https://genome.jgi.doe.gov/portal/IMG_VR.
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Affiliation(s)
- Simon Roux
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - David Páez-Espino
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - I-Min A Chen
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Krishna Palaniappan
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Anna Ratner
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Ken Chu
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - T B K Reddy
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Stephen Nayfach
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Frederik Schulz
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Lee Call
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Russell Y Neches
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Tanja Woyke
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Natalia N Ivanova
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Emiley A Eloe-Fadrosh
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Nikos C Kyrpides
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
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21
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Chen IMA, Chu K, Palaniappan K, Ratner A, Huang J, Huntemann M, Hajek P, Ritter S, Varghese N, Seshadri R, Roux S, Woyke T, Eloe-Fadrosh EA, Ivanova NN, Kyrpides N. The IMG/M data management and analysis system v.6.0: new tools and advanced capabilities. Nucleic Acids Res 2021; 49:D751-D763. [PMID: 33119741 PMCID: PMC7778900 DOI: 10.1093/nar/gkaa939] [Citation(s) in RCA: 250] [Impact Index Per Article: 83.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 10/04/2020] [Accepted: 10/07/2020] [Indexed: 12/22/2022] Open
Abstract
The Integrated Microbial Genomes & Microbiomes system (IMG/M: https://img.jgi.doe.gov/m/) contains annotated isolate genome and metagenome datasets sequenced at the DOE's Joint Genome Institute (JGI), submitted by external users, or imported from public sources such as NCBI. IMG v 6.0 includes advanced search functions and a new tool for statistical analysis of mixed sets of genomes and metagenome bins. The new IMG web user interface also has a new Help page with additional documentation and webinar tutorials to help users better understand how to use various IMG functions and tools for their research. New datasets have been processed with the prokaryotic annotation pipeline v.5, which includes extended protein family assignments.
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Affiliation(s)
- I-Min A Chen
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Ken Chu
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Krishnaveni Palaniappan
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Anna Ratner
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Jinghua Huang
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Marcel Huntemann
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Patrick Hajek
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Stephan Ritter
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Neha Varghese
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Rekha Seshadri
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Simon Roux
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Tanja Woyke
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Emiley A Eloe-Fadrosh
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Natalia N Ivanova
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
| | - Nikos C Kyrpides
- Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
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22
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Palmer M, Hedlund BP, Roux S, Tsourkas PK, Doss RK, Stamereilers C, Mehta A, Dodsworth JA, Lodes M, Monsma S, Glavina del Rio T, Schoenfeld TW, Eloe-Fadrosh EA, Mead DA. Diversity and Distribution of a Novel Genus of Hyperthermophilic Aquificae Viruses Encoding a Proof-Reading Family-A DNA Polymerase. Front Microbiol 2020; 11:583361. [PMID: 33281778 PMCID: PMC7689252 DOI: 10.3389/fmicb.2020.583361] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 10/16/2020] [Indexed: 12/27/2022] Open
Abstract
Despite the high abundance of Aquificae in many geothermal systems, these bacteria are difficult to culture and no viruses infecting members of this phylum have been isolated. Here, we describe the complete, circular dsDNA Uncultivated Virus Genome (UViG) of Thermocrinis Octopus Spring virus (TOSV), derived from metagenomic data, along with eight related UViGs representing three additional viral species. Despite low overall similarity among viruses from different hot springs, the genomes shared a high degree of synteny, and encoded numerous genes for nucleotide metabolism, including a PolA-type DNA polymerase polyprotein with likely accessory functions, a DNA Pol III sliding clamp, a thymidylate kinase, a DNA gyrase, a helicase, and a DNA methylase. Also present were conserved genes predicted to code for phage capsid, large and small subunits of terminase, portal protein, holin, and lytic transglycosylase, all consistent with a distant relatedness to cultivated Caudovirales. These viruses are predicted to infect Aquificae, as multiple CRISPR spacers matching the viral genomes were identified within the genomes and metagenomic contigs from these bacteria. Based on the predicted atypical bi-directional replication strategy, low sequence similarity to known viral genomes, and unique position in gene-sharing networks, we propose a new putative genus, "Pyrovirus," in the order Caudovirales.
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Affiliation(s)
- Marike Palmer
- School of Life Sciences, University of Nevada, Las Vegas, Las Vegas, NV, United States
| | - Brian P. Hedlund
- School of Life Sciences, University of Nevada, Las Vegas, Las Vegas, NV, United States
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, Las Vegas, NV, United States
| | - Simon Roux
- Department of Energy Joint Genome Institute, Berkeley, CA, United States
| | - Philippos K. Tsourkas
- School of Life Sciences, University of Nevada, Las Vegas, Las Vegas, NV, United States
- Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, Las Vegas, NV, United States
| | - Ryan K. Doss
- School of Life Sciences, University of Nevada, Las Vegas, Las Vegas, NV, United States
| | - Casey Stamereilers
- School of Life Sciences, University of Nevada, Las Vegas, Las Vegas, NV, United States
| | - Astha Mehta
- School of Life Sciences, University of Nevada, Las Vegas, Las Vegas, NV, United States
| | - Jeremy A. Dodsworth
- Department of Biology, California State University, San Bernardino, CA, United States
| | | | - Scott Monsma
- Lucigen Corporation, Middleton, WI, United States
| | | | | | | | - David A. Mead
- Varigen Biosciences Corporation, Madison, WI, United States
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23
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Panwar P, Allen MA, Williams TJ, Hancock AM, Brazendale S, Bevington J, Roux S, Páez-Espino D, Nayfach S, Berg M, Schulz F, Chen IMA, Huntemann M, Shapiro N, Kyrpides NC, Woyke T, Eloe-Fadrosh EA, Cavicchioli R. Influence of the polar light cycle on seasonal dynamics of an Antarctic lake microbial community. Microbiome 2020; 8:116. [PMID: 32772914 PMCID: PMC7416419 DOI: 10.1186/s40168-020-00889-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 06/30/2020] [Indexed: 05/10/2023]
Abstract
BACKGROUND Cold environments dominate the Earth's biosphere and microbial activity drives ecosystem processes thereby contributing greatly to global biogeochemical cycles. Polar environments differ to all other cold environments by experiencing 24-h sunlight in summer and no sunlight in winter. The Vestfold Hills in East Antarctica contains hundreds of lakes that have evolved from a marine origin only 3000-7000 years ago. Ace Lake is a meromictic (stratified) lake from this region that has been intensively studied since the 1970s. Here, a total of 120 metagenomes representing a seasonal cycle and four summers spanning a 10-year period were analyzed to determine the effects of the polar light cycle on microbial-driven nutrient cycles. RESULTS The lake system is characterized by complex sulfur and hydrogen cycling, especially in the anoxic layers, with multiple mechanisms for the breakdown of biopolymers present throughout the water column. The two most abundant taxa are phototrophs (green sulfur bacteria and cyanobacteria) that are highly influenced by the seasonal availability of sunlight. The extent of the Chlorobium biomass thriving at the interface in summer was captured in underwater video footage. The Chlorobium abundance dropped from up to 83% in summer to 6% in winter and 1% in spring, before rebounding to high levels. Predicted Chlorobium viruses and cyanophage were also abundant, but their levels did not negatively correlate with their hosts. CONCLUSION Over-wintering expeditions in Antarctica are logistically challenging, meaning insight into winter processes has been inferred from limited data. Here, we found that in contrast to chemolithoautotrophic carbon fixation potential of Southern Ocean Thaumarchaeota, this marine-derived lake evolved a reliance on photosynthesis. While viruses associated with phototrophs also have high seasonal abundance, the negative impact of viral infection on host growth appeared to be limited. The microbial community as a whole appears to have developed a capacity to generate biomass and remineralize nutrients, sufficient to sustain itself between two rounds of sunlight-driven summer-activity. In addition, this unique metagenome dataset provides considerable opportunity for future interrogation of eukaryotes and their viruses, abundant uncharacterized taxa (i.e. dark matter), and for testing hypotheses about endemic species in polar aquatic ecosystems. Video Abstract.
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Affiliation(s)
- Pratibha Panwar
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, 2052, Australia
| | - Michelle A Allen
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, 2052, Australia
| | - Timothy J Williams
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, 2052, Australia
| | - Alyce M Hancock
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, 2052, Australia
- Institute for Marine and Antarctic Studies, University of Tasmania, 20 Castray Esplanade, Battery Point, Tasmania, Australia
| | - Sarah Brazendale
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, 2052, Australia
- , 476 Lancaster Rd, Pegarah, Australia
| | - James Bevington
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, 2052, Australia
| | - Simon Roux
- Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - David Páez-Espino
- Department of Energy Joint Genome Institute, Berkeley, CA, USA
- Mammoth BioSciences, 279 East Grand Ave, South San Francisco, CA, USA
| | - Stephen Nayfach
- Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - Maureen Berg
- Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - Frederik Schulz
- Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | - I-Min A Chen
- Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | | | - Nicole Shapiro
- Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | | | - Tanja Woyke
- Department of Energy Joint Genome Institute, Berkeley, CA, USA
| | | | - Ricardo Cavicchioli
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, 2052, Australia.
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24
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Sheremet A, Jones GM, Jarett J, Bowers RM, Bedard I, Culham C, Eloe-Fadrosh EA, Ivanova N, Malmstrom RR, Grasby SE, Woyke T, Dunfield PF. Ecological and genomic analyses of candidate phylum WPS-2 bacteria in an unvegetated soil. Environ Microbiol 2020; 22:3143-3157. [PMID: 32372527 DOI: 10.1111/1462-2920.15054] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 04/28/2020] [Accepted: 04/29/2020] [Indexed: 12/01/2022]
Abstract
Members of the bacterial candidate phylum WPS-2 (or Eremiobacterota) are abundant in several dry, bare soil environments. In a bare soil deposited by an extinct iron-sulfur spring, we found that WPS-2 comprised up to 24% of the bacterial community and up to 108 cells per g of soil based on 16S rRNA gene sequencing and quantification. A single genus-level cluster (Ca. Rubrimentiphilum) predominated in bare soils but was less abundant in adjacent forest. Nearly complete genomes of Ca. Rubrimentiphilum were recovered as single amplified genomes (SAGs) and metagenome-assembled genomes (MAGs). Surprisingly, given the abundance of WPS-2 in bare soils, the genomes did not indicate any capacity for autotrophy, phototrophy, or trace gas metabolism. Instead, they suggest a predominantly aerobic organoheterotrophic lifestyle, perhaps based on scavenging amino acids, nucleotides, and complex oligopeptides, along with lithotrophic capacity on thiosulfate. Network analyses of the entire community showed that some species of Chloroflexi, Actinobacteria, and candidate phylum AD3 (or Dormibacterota) co-occurred with Ca. Rubrimentiphilum and may represent ecological or metabolic partners. We propose that Ca. Rubrimentiphilum act as efficient heterotrophic scavengers. Combined with previous studies, these data suggest that the phylum WPS-2 includes bacteria with diverse metabolic capabilities.
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Affiliation(s)
- Andriy Sheremet
- Department of Biological Sciences, University of Calgary, 2500 University Dr. NW Calgary, Alberta, T2N 1N4, Canada
| | - Gareth M Jones
- Department of Biological Sciences, University of Calgary, 2500 University Dr. NW Calgary, Alberta, T2N 1N4, Canada
| | - Jessica Jarett
- Department of Energy Joint Genome Institute, Walnut Creek CA, 94598, USA
| | - Robert M Bowers
- Department of Energy Joint Genome Institute, Walnut Creek CA, 94598, USA
| | - Isaac Bedard
- Department of Biological Sciences, University of Calgary, 2500 University Dr. NW Calgary, Alberta, T2N 1N4, Canada
| | - Cassandra Culham
- Department of Biological Sciences, University of Calgary, 2500 University Dr. NW Calgary, Alberta, T2N 1N4, Canada
| | | | - Natalia Ivanova
- Department of Energy Joint Genome Institute, Walnut Creek CA, 94598, USA
| | - Rex R Malmstrom
- Department of Energy Joint Genome Institute, Walnut Creek CA, 94598, USA
| | | | - Tanja Woyke
- Department of Energy Joint Genome Institute, Walnut Creek CA, 94598, USA
| | - Peter F Dunfield
- Department of Biological Sciences, University of Calgary, 2500 University Dr. NW Calgary, Alberta, T2N 1N4, Canada
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25
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Paez-Espino D, Roux S, Chen IMA, Palaniappan K, Ratner A, Chu K, Huntemann M, Reddy TBK, Pons JC, Llabrés M, Eloe-Fadrosh EA, Ivanova NN, Kyrpides NC. IMG/VR v.2.0: an integrated data management and analysis system for cultivated and environmental viral genomes. Nucleic Acids Res 2020; 47:D678-D686. [PMID: 30407573 PMCID: PMC6323928 DOI: 10.1093/nar/gky1127] [Citation(s) in RCA: 111] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2018] [Accepted: 10/31/2018] [Indexed: 01/06/2023] Open
Abstract
The Integrated Microbial Genome/Virus (IMG/VR) system v.2.0 (https://img.jgi.doe.gov/vr/) is the largest publicly available data management and analysis platform dedicated to viral genomics. Since the last report published in the 2016, NAR Database Issue, the data has tripled in size and currently contains genomes of 8389 cultivated reference viruses, 12 498 previously published curated prophages derived from cultivated microbial isolates, and 735 112 viral genomic fragments computationally predicted from assembled shotgun metagenomes. Nearly 60% of the viral genomes and genome fragments are clustered into 110 384 viral Operational Taxonomic Units (vOTUs) with two or more members. To improve data quality and predictions of host specificity, IMG/VR v.2.0 now separates prokaryotic and eukaryotic viruses, utilizes known prophage sequences to improve taxonomic assignments, and provides viral genome quality scores based on the estimated genome completeness. New features also include enhanced BLAST search capabilities for external queries. Finally, geographic map visualization to locate user-selected viral genomes or genome fragments has been implemented and download options have been extended. All of these features make IMG/VR v.2.0 a key resource for the study of viruses.
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Affiliation(s)
| | - Simon Roux
- Department of Energy, Joint Genome Institute, Walnut Creek, CA, USA
| | - I-Min A Chen
- Biological Data Management and Technology Center, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, USA
| | - Krishna Palaniappan
- Biological Data Management and Technology Center, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, USA
| | - Anna Ratner
- Biological Data Management and Technology Center, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, USA
| | - Ken Chu
- Biological Data Management and Technology Center, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA, USA
| | - Marcel Huntemann
- Department of Energy, Joint Genome Institute, Walnut Creek, CA, USA
| | - T B K Reddy
- Department of Energy, Joint Genome Institute, Walnut Creek, CA, USA
| | - Joan Carles Pons
- Department of Mathematics and Computer Science, University of the Balearic Islands, Spain
| | - Mercè Llabrés
- Department of Mathematics and Computer Science, University of the Balearic Islands, Spain
| | | | | | - Nikos C Kyrpides
- Department of Energy, Joint Genome Institute, Walnut Creek, CA, USA
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26
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Chen IMA, Chu K, Palaniappan K, Pillay M, Ratner A, Huang J, Huntemann M, Varghese N, White JR, Seshadri R, Smirnova T, Kirton E, Jungbluth SP, Woyke T, Eloe-Fadrosh EA, Ivanova NN, Kyrpides NC. IMG/M v.5.0: an integrated data management and comparative analysis system for microbial genomes and microbiomes. Nucleic Acids Res 2020; 47:D666-D677. [PMID: 30289528 PMCID: PMC6323987 DOI: 10.1093/nar/gky901] [Citation(s) in RCA: 536] [Impact Index Per Article: 134.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Accepted: 09/24/2018] [Indexed: 11/12/2022] Open
Abstract
The Integrated Microbial Genomes & Microbiomes system v.5.0 (IMG/M: https://img.jgi.doe.gov/m/) contains annotated datasets categorized into: archaea, bacteria, eukarya, plasmids, viruses, genome fragments, metagenomes, cell enrichments, single particle sorts, and metatranscriptomes. Source datasets include those generated by the DOE's Joint Genome Institute (JGI), submitted by external scientists, or collected from public sequence data archives such as NCBI. All submissions are typically processed through the IMG annotation pipeline and then loaded into the IMG data warehouse. IMG's web user interface provides a variety of analytical and visualization tools for comparative analysis of isolate genomes and metagenomes in IMG. IMG/M allows open access to all public genomes in the IMG data warehouse, while its expert review (ER) system (IMG/MER: https://img.jgi.doe.gov/mer/) allows registered users to access their private genomes and to store their private datasets in workspace for sharing and for further analysis. IMG/M data content has grown by 60% since the last report published in the 2017 NAR Database Issue. IMG/M v.5.0 has a new and more powerful genome search feature, new statistical tools, and supports metagenome binning.
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Affiliation(s)
- I-Min A Chen
- Department of Energy, Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
| | - Ken Chu
- Department of Energy, Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
| | - Krishna Palaniappan
- Department of Energy, Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
| | - Manoj Pillay
- Department of Energy, Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
| | - Anna Ratner
- Department of Energy, Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
| | - Jinghua Huang
- Department of Energy, Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
| | - Marcel Huntemann
- Department of Energy, Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
| | - Neha Varghese
- Department of Energy, Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
| | | | - Rekha Seshadri
- Department of Energy, Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
| | - Tatyana Smirnova
- Department of Energy, Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
| | - Edward Kirton
- Department of Energy, Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
| | - Sean P Jungbluth
- Department of Energy, Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
| | - Tanja Woyke
- Department of Energy, Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
| | - Emiley A Eloe-Fadrosh
- Department of Energy, Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
| | - Natalia N Ivanova
- Department of Energy, Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
| | - Nikos C Kyrpides
- Department of Energy, Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, USA
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27
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Roux S, Krupovic M, Daly RA, Borges AL, Nayfach S, Schulz F, Sharrar A, Matheus Carnevali PB, Cheng JF, Ivanova NN, Bondy-Denomy J, Wrighton KC, Woyke T, Visel A, Kyrpides NC, Eloe-Fadrosh EA. Author Correction: Cryptic inoviruses revealed as pervasive in bacteria and archaea across Earth’s biomes. Nat Microbiol 2020; 5:527. [PMID: 32047285 PMCID: PMC7608142 DOI: 10.1038/s41564-020-0681-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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28
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Schulz F, Roux S, Paez-Espino D, Jungbluth S, Walsh DA, Denef VJ, McMahon KD, Konstantinidis KT, Eloe-Fadrosh EA, Kyrpides NC, Woyke T. Giant virus diversity and host interactions through global metagenomics. Nature 2020; 578:432-436. [PMID: 31968354 PMCID: PMC7162819 DOI: 10.1038/s41586-020-1957-x] [Citation(s) in RCA: 140] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 01/09/2020] [Indexed: 12/11/2022]
Abstract
Our current knowledge about nucleocytoplasmic large DNA viruses (NCLDVs) is largely derived from viral isolates that are co-cultivated with protists and algae. Here we reconstructed 2,074 NCLDV genomes from sampling sites across the globe by building on the rapidly increasing amount of publicly available metagenome data. This led to an 11-fold increase in phylogenetic diversity and a parallel 10-fold expansion in functional diversity. Analysis of 58,023 major capsid proteins from large and giant viruses using metagenomic data revealed the global distribution patterns and cosmopolitan nature of these viruses. The discovered viral genomes encoded a wide range of proteins with putative roles in photosynthesis and diverse substrate transport processes, indicating that host reprogramming is probably a common strategy in the NCLDVs. Furthermore, inferences of horizontal gene transfer connected viral lineages to diverse eukaryotic hosts. We anticipate that the global diversity of NCLDVs that we describe here will establish giant viruses-which are associated with most major eukaryotic lineages-as important players in ecosystems across Earth's biomes.
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Affiliation(s)
- Frederik Schulz
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
| | - Simon Roux
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - David Paez-Espino
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Sean Jungbluth
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - David A Walsh
- Groupe de recherche interuniversitaire en limnologie, Department of Biology, Concordia University, Montréal, Québec, Canada
| | - Vincent J Denef
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA
| | - Katherine D McMahon
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA
- Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Emiley A Eloe-Fadrosh
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Nikos C Kyrpides
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Tanja Woyke
- DOE Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
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29
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Abraham BS, Caglayan D, Carrillo NV, Chapman MC, Hagan CT, Hansen ST, Jeanty RO, Klimczak AA, Klingler MJ, Kutcher TP, Levy SH, Millard-Bruzos AA, Moore TB, Prentice DJ, Prescott ME, Roehm R, Rose JA, Yin M, Hyodo A, Lail K, Daum C, Clum A, Copeland A, Seshadri R, del Rio TG, Eloe-Fadrosh EA, Benskin JB. Shotgun metagenomic analysis of microbial communities from the Loxahatchee nature preserve in the Florida Everglades. Environ Microbiome 2020; 15:2. [PMID: 33902723 PMCID: PMC8067648 DOI: 10.1186/s40793-019-0352-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Accepted: 12/21/2019] [Indexed: 06/12/2023]
Abstract
BACKGROUND Currently, much is unknown about the taxonomic diversity and the mechanisms of methane metabolism in the Florida Everglades ecosystem. The Loxahatchee National Wildlife Refuge is a section of the Florida Everglades that is almost entirely unstudied in regard to taxonomic profiling. This short report analyzes the metagenome of soil samples from this Refuge to investigate the predominant taxa, as well as the abundance of genes involved in environmentally significant metabolic pathways related to methane production (nitrogen fixation and dissimilatory sulfite reduction). METHODS Shotgun metagenomic sequencing using the Illumina platform was performed on 17 soil samples from four different sites within the Loxahatchee National Wildlife Refuge, and underwent quality control, assembly, and annotation. The soil from each sample was tested for water content and concentrations of organic carbon and nitrogen. RESULTS The three most common phyla of bacteria for every site were Actinobacteria, Acidobacteria, and Proteobacteria; however, there was variation in relative phylum composition. The most common phylum of Archaea was Euryarchaeota for all sites. Alpha and beta diversity analyses indicated significant congruity in taxonomic diversity in most samples from Sites 1, 3, and 4 and negligible congruity between Site 2 and the other sites. Shotgun metagenomic sequencing revealed the presence of biogeochemical biomarkers of particular interest (e.g., mrcA, nifH, and dsrB) within the samples. The normalized abundances of mcrA, nifH, and dsrB exhibited a positive correlation with nitrogen concentration and water content, and a negative correlation with organic carbon concentration. CONCLUSION This Everglades soil metagenomic study allowed examination of wetlands biological processes and showed expected correlations between measured organic constituents and prokaryotic gene frequency. Additionally, the taxonomic profile generated gives a basis for the diversity of prokaryotic microbial life throughout the Everglades.
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Affiliation(s)
| | - Deniz Caglayan
- Boca Raton Community High School, Boca Raton, FL 33486 USA
| | | | | | | | - Skye T. Hansen
- Boca Raton Community High School, Boca Raton, FL 33486 USA
| | | | | | | | | | - Sydney H. Levy
- Boca Raton Community High School, Boca Raton, FL 33486 USA
| | | | | | | | | | - Richard Roehm
- Boca Raton Community High School, Boca Raton, FL 33486 USA
| | - Jordan A. Rose
- Boca Raton Community High School, Boca Raton, FL 33486 USA
| | - Mulan Yin
- Boca Raton Community High School, Boca Raton, FL 33486 USA
| | - Ayumi Hyodo
- Department of Ecosystem Science and Management, Texas A&M University, College Station, TX 77843 USA
| | - Kathleen Lail
- Department of Energy, Joint Genome Institute, Berkeley, CA 94720 USA
| | - Christopher Daum
- Department of Energy, Joint Genome Institute, Berkeley, CA 94720 USA
| | - Alicia Clum
- Department of Energy, Joint Genome Institute, Berkeley, CA 94720 USA
| | - Alex Copeland
- Department of Energy, Joint Genome Institute, Berkeley, CA 94720 USA
| | - Rekha Seshadri
- Department of Energy, Joint Genome Institute, Berkeley, CA 94720 USA
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30
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31
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Paez-Espino D, Zhou J, Roux S, Nayfach S, Pavlopoulos GA, Schulz F, McMahon KD, Walsh D, Woyke T, Ivanova NN, Eloe-Fadrosh EA, Tringe SG, Kyrpides NC. Diversity, evolution, and classification of virophages uncovered through global metagenomics. Microbiome 2019; 7:157. [PMID: 31823797 PMCID: PMC6905037 DOI: 10.1186/s40168-019-0768-5] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [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: 06/05/2019] [Accepted: 11/11/2019] [Indexed: 05/19/2023]
Abstract
BACKGROUND Virophages are small viruses with double-stranded DNA genomes that replicate along with giant viruses and co-infect eukaryotic cells. Due to the paucity of virophage reference genomes, a collective understanding of the global virophage diversity, distribution, and evolution is lacking. RESULTS Here we screened a public collection of over 14,000 metagenomes using the virophage-specific major capsid protein (MCP) as "bait." We identified 44,221 assembled virophage sequences, of which 328 represent high-quality (complete or near-complete) genomes from diverse habitats including the human gut, plant rhizosphere, and terrestrial subsurface. Comparative genomic analysis confirmed the presence of four core genes in a conserved block. We used these genes to establish a revised virophage classification including 27 clades with consistent genome length, gene content, and habitat distribution. Moreover, for eight high-quality virophage genomes, we computationally predicted putative eukaryotic virus hosts. CONCLUSION Overall, our approach has increased the number of known virophage genomes by 10-fold and revealed patterns of genome evolution and global virophage distribution. We anticipate that the expanded diversity presented here will provide the backbone for further virophage studies.
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Affiliation(s)
- David Paez-Espino
- Department of Energy, Joint Genome Institute, 2800 Mitchell Dr., Walnut Creek, 94598 USA
| | - Jinglie Zhou
- Department of Energy, Joint Genome Institute, 2800 Mitchell Dr., Walnut Creek, 94598 USA
| | - Simon Roux
- Department of Energy, Joint Genome Institute, 2800 Mitchell Dr., Walnut Creek, 94598 USA
| | - Stephen Nayfach
- Department of Energy, Joint Genome Institute, 2800 Mitchell Dr., Walnut Creek, 94598 USA
| | - Georgios A. Pavlopoulos
- Department of Energy, Joint Genome Institute, 2800 Mitchell Dr., Walnut Creek, 94598 USA
- BSRC “Alexander Fleming”, 34 Fleming Street, Vari, 16672 Athens, Greece
| | - Frederik Schulz
- Department of Energy, Joint Genome Institute, 2800 Mitchell Dr., Walnut Creek, 94598 USA
| | - Katherine D. McMahon
- Departments of Civil and Environmental Engineering and Bacteriology, University of Wisconsin Madison, 1550 Linden Drive, Madison, WI 53726 USA
| | - David Walsh
- Department of Biology, Concordia University, 7141 Sherbrooke St. West, Montreal, QC, H4B 1R6 Canada
| | - Tanja Woyke
- Department of Energy, Joint Genome Institute, 2800 Mitchell Dr., Walnut Creek, 94598 USA
| | - Natalia N. Ivanova
- Department of Energy, Joint Genome Institute, 2800 Mitchell Dr., Walnut Creek, 94598 USA
| | - Emiley A. Eloe-Fadrosh
- Department of Energy, Joint Genome Institute, 2800 Mitchell Dr., Walnut Creek, 94598 USA
| | - Susannah G. Tringe
- Department of Energy, Joint Genome Institute, 2800 Mitchell Dr., Walnut Creek, 94598 USA
| | - Nikos C. Kyrpides
- Department of Energy, Joint Genome Institute, 2800 Mitchell Dr., Walnut Creek, 94598 USA
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32
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Högfors-Rönnholm E, Lopez-Fernandez M, Christel S, Brambilla D, Huntemann M, Clum A, Foster B, Foster B, Roux S, Palaniappan K, Varghese N, Mukherjee S, Reddy TBK, Daum C, Copeland A, Chen IMA, Ivanova NN, Kyrpides NC, Harmon-Smith M, Eloe-Fadrosh EA, Lundin D, Engblom S, Dopson M. Metagenomes and metatranscriptomes from boreal potential and actual acid sulfate soil materials. Sci Data 2019; 6:207. [PMID: 31619684 PMCID: PMC6795848 DOI: 10.1038/s41597-019-0222-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [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: 05/15/2019] [Accepted: 08/27/2019] [Indexed: 11/09/2022] Open
Abstract
Natural sulfide rich deposits are common in coastal areas worldwide, including along the Baltic Sea coast. When artificial drainage exposes these deposits to atmospheric oxygen, iron sulfide minerals in the soils are rapidly oxidized. This process turns the potential acid sulfate soils into actual acid sulfate soils and mobilizes large quantities of acidity and leachable toxic metals that cause severe environmental problems. It is known that acidophilic microorganisms living in acid sulfate soils catalyze iron sulfide mineral oxidation. However, only a few studies regarding these communities have been published. In this study, we sampled the oxidized actual acid sulfate soil, the transition zone where oxidation is actively taking place, and the deepest un-oxidized potential acid sulfate soil. Nucleic acids were extracted and 16S rRNA gene amplicons, metagenomes, and metatranscriptomes generated to gain a detailed insight into the communities and their activities. The project will be of great use to microbiologists, environmental biologists, geochemists, and geologists as there is hydrological and geochemical monitoring from the site stretching back for many years.
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Affiliation(s)
- Eva Högfors-Rönnholm
- Research and Development, Novia University of Applied Sciences, Vaasa, 65200, Finland.
| | - Margarita Lopez-Fernandez
- Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Linnaeus University, Kalmar, 59231, Sweden
| | - Stephan Christel
- Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Linnaeus University, Kalmar, 59231, Sweden
| | - Diego Brambilla
- Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Linnaeus University, Kalmar, 59231, Sweden
| | - Marcel Huntemann
- Department of Energy Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Alicia Clum
- Department of Energy Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Brian Foster
- Department of Energy Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Bryce Foster
- Department of Energy Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Simon Roux
- Department of Energy Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | | | - Neha Varghese
- Department of Energy Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Supratim Mukherjee
- Department of Energy Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - T B K Reddy
- Department of Energy Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Chris Daum
- Department of Energy Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Alex Copeland
- Department of Energy Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - I-Min A Chen
- Department of Energy Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Natalia N Ivanova
- Department of Energy Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Nikos C Kyrpides
- Department of Energy Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | | | | | - Daniel Lundin
- Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Linnaeus University, Kalmar, 59231, Sweden
| | - Sten Engblom
- Research and Development, Novia University of Applied Sciences, Vaasa, 65200, Finland
| | - Mark Dopson
- Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Linnaeus University, Kalmar, 59231, Sweden
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33
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Wang B, Qin W, Ren Y, Zhou X, Jung MY, Han P, Eloe-Fadrosh EA, Li M, Zheng Y, Lu L, Yan X, Ji J, Liu Y, Liu L, Heiner C, Hall R, Martens-Habbena W, Herbold CW, Rhee SK, Bartlett DH, Huang L, Ingalls AE, Wagner M, Stahl DA, Jia Z. Expansion of Thaumarchaeota habitat range is correlated with horizontal transfer of ATPase operons. ISME J 2019; 13:3067-3079. [PMID: 31462715 PMCID: PMC6863869 DOI: 10.1038/s41396-019-0493-x] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 07/01/2019] [Accepted: 07/29/2019] [Indexed: 01/04/2023]
Abstract
Thaumarchaeota are responsible for a significant fraction of ammonia oxidation in the oceans and in soils that range from alkaline to acidic. However, the adaptive mechanisms underpinning their habitat expansion remain poorly understood. Here we show that expansion into acidic soils and the high pressures of the hadopelagic zone of the oceans is tightly linked to the acquisition of a variant of the energy-yielding ATPases via horizontal transfer. Whereas the ATPase genealogy of neutrophilic Thaumarchaeota is congruent with their organismal genealogy inferred from concatenated conserved proteins, a common clade of V-type ATPases unites phylogenetically distinct clades of acidophilic/acid-tolerant and piezophilic/piezotolerant species. A presumptive function of pumping cytoplasmic protons at low pH is consistent with the experimentally observed increased expression of the V-ATPase in an acid-tolerant thaumarchaeote at low pH. Consistently, heterologous expression of the thaumarchaeotal V-ATPase significantly increased the growth rate of E. coli at low pH. Its adaptive significance to growth in ocean trenches may relate to pressure-related changes in membrane structure in which this complex molecular machine must function. Together, our findings reveal that the habitat expansion of Thaumarchaeota is tightly correlated with extensive horizontal transfer of atp operons.
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Affiliation(s)
- Baozhan Wang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China.,Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, Vienna, Austria
| | - Wei Qin
- School of Oceanography, University of Washington, Seattle, WA, USA
| | - Yi Ren
- Shanghai Majorbio Bio-pharm Biotechnology Co., Ltd, Shanghai, China
| | - Xue Zhou
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
| | - Man-Young Jung
- Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, Vienna, Austria
| | - Ping Han
- Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, Vienna, Austria
| | - Emiley A Eloe-Fadrosh
- Marine Biology Research Division, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, USA.,Department of Energy Joint Genome Institute, Walnut Creek, CA, USA
| | - Meng Li
- Institute for Advanced Study, Shenzhen University, Shenzhen, China
| | - Yue Zheng
- CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China
| | - Lu Lu
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China
| | - Xin Yan
- College of Life Sciences, Nanjing Agricultural University, Nanjing, China
| | - Junbin Ji
- College of Life Sciences, Nanjing Agricultural University, Nanjing, China
| | - Yang Liu
- Institute for Advanced Study, Shenzhen University, Shenzhen, China
| | - Linmeng Liu
- Shanghai Majorbio Bio-pharm Biotechnology Co., Ltd, Shanghai, China
| | | | | | - Willm Martens-Habbena
- Department of Microbiology and Cell Science & Fort Lauderdale Research and Education Center, University of Florida, Gainesville, FL, USA
| | - Craig W Herbold
- Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, Vienna, Austria
| | - Sung-Keun Rhee
- Department of Microbiology, Chungbuk National University, Cheongju, South Korea
| | - Douglas H Bartlett
- Marine Biology Research Division, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, USA
| | - Li Huang
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Anitra E Ingalls
- School of Oceanography, University of Washington, Seattle, WA, USA
| | - Michael Wagner
- Centre for Microbiology and Environmental Systems Science, Department of Microbiology and Ecosystem Science, University of Vienna, Vienna, Austria.,Center for Microbial Communities, Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark
| | - David A Stahl
- Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA
| | - Zhongjun Jia
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China.
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34
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Camargo AP, de Souza RSC, de Britto Costa P, Gerhardt IR, Dante RA, Teodoro GS, Abrahão A, Lambers H, Carazzolle MF, Huntemann M, Clum A, Foster B, Foster B, Roux S, Palaniappan K, Varghese N, Mukherjee S, Reddy TBK, Daum C, Copeland A, Chen IMA, Ivanova NN, Kyrpides NC, Pennacchio C, Eloe-Fadrosh EA, Arruda P, Oliveira RS. Microbiomes of Velloziaceae from phosphorus-impoverished soils of the campos rupestres, a biodiversity hotspot. Sci Data 2019; 6:140. [PMID: 31366912 PMCID: PMC6668480 DOI: 10.1038/s41597-019-0141-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 06/25/2019] [Indexed: 12/22/2022] Open
Abstract
The rocky, seasonally-dry and nutrient-impoverished soils of the Brazilian campos rupestres impose severe growth-limiting conditions on plants. Species of a dominant plant family, Velloziaceae, are highly specialized to low-nutrient conditions and seasonal water availability of this environment, where phosphorus (P) is the key limiting nutrient. Despite plant-microbe associations playing critical roles in stressful ecosystems, the contribution of these interactions in the campos rupestres remains poorly studied. Here we present the first microbiome data of Velloziaceae spp. thriving in contrasting substrates of campos rupestres. We assessed the microbiomes of Vellozia epidendroides, which occupies shallow patches of soil, and Barbacenia macrantha, growing on exposed rocks. The prokaryotic and fungal profiles were assessed by rRNA barcode sequencing of epiphytic and endophytic compartments of roots, stems, leaves and surrounding soil/rocks. We also generated root and substrate (rock/soil)-associated metagenomes of each plant species. We foresee that these data will contribute to decipher how the microbiome contributes to plant functioning in the campos rupestres, and to unravel new strategies for improved crop productivity in stressful environments.
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Affiliation(s)
- Antonio Pedro Camargo
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas (UNICAMP), 13083-875, Campinas, SP, Brazil
- Departamento de Genética e Evolução, Instituto de Biologia, Universidade Estadual de Campinas (UNICAMP), 13083-875, Campinas, SP, Brazil
- Genomics for Climate Change Research Center, Universidade Estadual de Campinas (UNICAMP), 13083-875, Campinas, SP, Brazil
| | - Rafael Soares Correa de Souza
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas (UNICAMP), 13083-875, Campinas, SP, Brazil.
- Departamento de Genética e Evolução, Instituto de Biologia, Universidade Estadual de Campinas (UNICAMP), 13083-875, Campinas, SP, Brazil.
- Genomics for Climate Change Research Center, Universidade Estadual de Campinas (UNICAMP), 13083-875, Campinas, SP, Brazil.
| | - Patrícia de Britto Costa
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas (UNICAMP), 13083-862, Campinas, SP, Brazil
- School of Biological Sciences, University of Western Australia (UWA), Perth, WA, 6009, Australia
| | - Isabel Rodrigues Gerhardt
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas (UNICAMP), 13083-875, Campinas, SP, Brazil
- Genomics for Climate Change Research Center, Universidade Estadual de Campinas (UNICAMP), 13083-875, Campinas, SP, Brazil
- Embrapa Informática Agropecuária, 13083-886, Campinas, SP, Brazil
| | - Ricardo Augusto Dante
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas (UNICAMP), 13083-875, Campinas, SP, Brazil
- Genomics for Climate Change Research Center, Universidade Estadual de Campinas (UNICAMP), 13083-875, Campinas, SP, Brazil
- Embrapa Informática Agropecuária, 13083-886, Campinas, SP, Brazil
| | - Grazielle Sales Teodoro
- Instituto de Ciências Biológicas, Universidade Federal do Para (UFPA), 66075-750, Belem, PA, Brazil
| | - Anna Abrahão
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas (UNICAMP), 13083-862, Campinas, SP, Brazil
- School of Biological Sciences, University of Western Australia (UWA), Perth, WA, 6009, Australia
| | - Hans Lambers
- School of Biological Sciences, University of Western Australia (UWA), Perth, WA, 6009, Australia
| | - Marcelo Falsarella Carazzolle
- Departamento de Genética e Evolução, Instituto de Biologia, Universidade Estadual de Campinas (UNICAMP), 13083-875, Campinas, SP, Brazil
| | - Marcel Huntemann
- Department of Energy Joint Genome Institute, Walnut Creek, California, 94598, USA
| | - Alicia Clum
- Department of Energy Joint Genome Institute, Walnut Creek, California, 94598, USA
| | - Brian Foster
- Department of Energy Joint Genome Institute, Walnut Creek, California, 94598, USA
| | - Bryce Foster
- Department of Energy Joint Genome Institute, Walnut Creek, California, 94598, USA
| | - Simon Roux
- Department of Energy Joint Genome Institute, Walnut Creek, California, 94598, USA
| | | | - Neha Varghese
- Department of Energy Joint Genome Institute, Walnut Creek, California, 94598, USA
| | - Supratim Mukherjee
- Department of Energy Joint Genome Institute, Walnut Creek, California, 94598, USA
| | - T B K Reddy
- Department of Energy Joint Genome Institute, Walnut Creek, California, 94598, USA
| | - Chris Daum
- Department of Energy Joint Genome Institute, Walnut Creek, California, 94598, USA
| | - Alex Copeland
- Department of Energy Joint Genome Institute, Walnut Creek, California, 94598, USA
| | - I-Min A Chen
- Department of Energy Joint Genome Institute, Walnut Creek, California, 94598, USA
| | - Natalia N Ivanova
- Department of Energy Joint Genome Institute, Walnut Creek, California, 94598, USA
| | - Nikos C Kyrpides
- Department of Energy Joint Genome Institute, Walnut Creek, California, 94598, USA
| | - Christa Pennacchio
- Department of Energy Joint Genome Institute, Walnut Creek, California, 94598, USA
| | | | - Paulo Arruda
- Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas (UNICAMP), 13083-875, Campinas, SP, Brazil
- Departamento de Genética e Evolução, Instituto de Biologia, Universidade Estadual de Campinas (UNICAMP), 13083-875, Campinas, SP, Brazil
- Genomics for Climate Change Research Center, Universidade Estadual de Campinas (UNICAMP), 13083-875, Campinas, SP, Brazil
| | - Rafael Silva Oliveira
- Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas (UNICAMP), 13083-862, Campinas, SP, Brazil.
- School of Biological Sciences, University of Western Australia (UWA), Perth, WA, 6009, Australia.
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35
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Roux S, Krupovic M, Daly RA, Borges AL, Nayfach S, Schulz F, Sharrar A, Matheus Carnevali PB, Cheng JF, Ivanova NN, Bondy-Denomy J, Wrighton KC, Woyke T, Visel A, Kyrpides NC, Eloe-Fadrosh EA. Cryptic inoviruses revealed as pervasive in bacteria and archaea across Earth's biomes. Nat Microbiol 2019; 4:1895-1906. [PMID: 31332386 PMCID: PMC6813254 DOI: 10.1038/s41564-019-0510-x] [Citation(s) in RCA: 147] [Impact Index Per Article: 29.4] [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: 02/12/2019] [Accepted: 06/05/2019] [Indexed: 01/02/2023]
Abstract
Bacteriophages from the Inoviridae family (inoviruses) are characterized by their unique morphology, genome content and infection cycle. One of the most striking features of inoviruses is their ability to establish a chronic infection whereby the viral genome resides within the cell in either an exclusively episomal state or integrated into the host chromosome and virions are continuously released without killing the host. To date, a relatively small number of inovirus isolates have been extensively studied, either for biotechnological applications, such as phage display, or because of their effect on the toxicity of known bacterial pathogens including Vibrio cholerae and Neisseria meningitidis. Here, we show that the current 56 members of the Inoviridae family represent a minute fraction of a highly diverse group of inoviruses. Using a machine learning approach leveraging a combination of marker gene and genome features, we identified 10,295 inovirus-like sequences from microbial genomes and metagenomes. Collectively, our results call for reclassification of the current Inoviridae family into a viral order including six distinct proposed families associated with nearly all bacterial phyla across virtually every ecosystem. Putative inoviruses were also detected in several archaeal genomes, suggesting that, collectively, members of this supergroup infect hosts across the domains Bacteria and Archaea. Finally, we identified an expansive diversity of inovirus-encoded toxin–antitoxin and gene expression modulation systems, alongside evidence of both synergistic (CRISPR evasion) and antagonistic (superinfection exclusion) interactions with co-infecting viruses, which we experimentally validated in a Pseudomonas model. Capturing this previously obscured component of the global virosphere may spark new avenues for microbial manipulation approaches and innovative biotechnological applications. A machine learning approach was used to recover over 10,000 inovirus-like sequences from existing microbial genomes and metagenomes, consequently proposing the reclassification of the Inoviridae family to a viral order, and uncover the previously unrecognized diversity of these viruses across hosts and environments.
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Affiliation(s)
- Simon Roux
- DOE Joint Genome Institute, Walnut Creek, CA, USA.
| | - Mart Krupovic
- Department of Microbiology, Institut Pasteur, Paris, France
| | - Rebecca A Daly
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, USA
| | - Adair L Borges
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | | | | | - Allison Sharrar
- Department of Earth & Planetary Sciences, University of California, Berkeley, Berkeley, CA, USA
| | | | | | | | - Joseph Bondy-Denomy
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA.,Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Kelly C Wrighton
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, USA
| | - Tanja Woyke
- DOE Joint Genome Institute, Walnut Creek, CA, USA
| | - Axel Visel
- DOE Joint Genome Institute, Walnut Creek, CA, USA
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36
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Thomas SC, Tamadonfar KO, Seymour CO, Lai D, Dodsworth JA, Murugapiran SK, Eloe-Fadrosh EA, Dijkstra P, Hedlund BP. Position-Specific Metabolic Probing and Metagenomics of Microbial Communities Reveal Conserved Central Carbon Metabolic Network Activities at High Temperatures. Front Microbiol 2019; 10:1427. [PMID: 31333598 PMCID: PMC6624737 DOI: 10.3389/fmicb.2019.01427] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [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: 02/23/2019] [Accepted: 06/05/2019] [Indexed: 12/02/2022] Open
Abstract
Temperature is a primary driver of microbial community composition and taxonomic diversity; however, it is unclear to what extent temperature affects characteristics of central carbon metabolic pathways (CCMPs) at the community level. In this study, 16S rRNA gene amplicon and metagenome sequencing were combined with 13C-labeled metabolite probing of the CCMPs to assess community carbon metabolism along a temperature gradient (60–95°C) in Great Boiling Spring, NV. 16S rRNA gene amplicon diversity was inversely proportional to temperature, and Archaea were dominant at higher temperatures. KO richness and diversity were also inversely proportional to temperature, yet CCMP genes were similarly represented across the temperature gradient and many individual metagenome-assembled genomes had complete pathways. In contrast, genes encoding cellulosomes and many genes involved in plant matter degradation and photosynthesis were absent at higher temperatures. In situ13C-CO2 production from labeled isotopomer pairs of glucose, pyruvate, and acetate suggested lower relative oxidative pentose phosphate pathway activity and/or fermentation at 60°C, and a stable or decreased maintenance energy demand at higher temperatures. Catabolism of 13C-labeled citrate, succinate, L-alanine, L-serine, and L-cysteine was observed at 85°C, demonstrating broad heterotrophic activity and confirming functioning of the TCA cycle. Together, these results suggest that temperature-driven losses in biodiversity and gene content in geothermal systems may not alter CCMP function or maintenance energy demands at a community level.
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Affiliation(s)
- Scott C Thomas
- School of Life Sciences, University of Nevada, Las Vegas, NV, United States
| | - Kevin O Tamadonfar
- School of Life Sciences, University of Nevada, Las Vegas, NV, United States
| | - Cale O Seymour
- School of Life Sciences, University of Nevada, Las Vegas, NV, United States
| | - Dengxun Lai
- School of Life Sciences, University of Nevada, Las Vegas, NV, United States
| | - Jeremy A Dodsworth
- Department of Biology, California State University, San Bernardino, CA, United States
| | | | - Emiley A Eloe-Fadrosh
- Department of Energy Joint Genome Institute, Joint Genome Institute, Walnut Creek, CA, United States
| | - Paul Dijkstra
- Department of Biological Sciences, Center of Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, United States
| | - Brian P Hedlund
- School of Life Sciences, University of Nevada, Las Vegas, NV, United States.,Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, NV, United States
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37
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Trubl G, Roux S, Solonenko N, Li YF, Bolduc B, Rodríguez-Ramos J, Eloe-Fadrosh EA, Rich VI, Sullivan MB. Towards optimized viral metagenomes for double-stranded and single-stranded DNA viruses from challenging soils. PeerJ 2019; 7:e7265. [PMID: 31309007 PMCID: PMC6612421 DOI: 10.7717/peerj.7265] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [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: 03/21/2019] [Accepted: 06/07/2019] [Indexed: 11/29/2022] Open
Abstract
Soils impact global carbon cycling and their resident microbes are critical to their biogeochemical processing and ecosystem outputs. Based on studies in marine systems, viruses infecting soil microbes likely modulate host activities via mortality, horizontal gene transfer, and metabolic control. However, their roles remain largely unexplored due to technical challenges with separating, isolating, and extracting DNA from viruses in soils. Some of these challenges have been overcome by using whole genome amplification methods and while these have allowed insights into the identities of soil viruses and their genomes, their inherit biases have prevented meaningful ecological interpretations. Here we experimentally optimized steps for generating quantitatively-amplified viral metagenomes to better capture both ssDNA and dsDNA viruses across three distinct soil habitats along a permafrost thaw gradient. First, we assessed differing DNA extraction methods (PowerSoil, Wizard mini columns, and cetyl trimethylammonium bromide) for quantity and quality of viral DNA. This established PowerSoil as best for yield and quality of DNA from our samples, though ∼1/3 of the viral populations captured by each extraction kit were unique, suggesting appreciable differential biases among DNA extraction kits. Second, we evaluated the impact of purifying viral particles after resuspension (by cesium chloride gradients; CsCl) and of viral lysis method (heat vs bead-beating) on the resultant viromes. DNA yields after CsCl particle-purification were largely non-detectable, while unpurified samples yielded 1–2-fold more DNA after lysis by heat than by bead-beating. Virome quality was assessed by the number and size of metagenome-assembled viral contigs, which showed no increase after CsCl-purification, but did from heat lysis relative to bead-beating. We also evaluated sample preparation protocols for ssDNA virus recovery. In both CsCl-purified and non-purified samples, ssDNA viruses were successfully recovered by using the Accel-NGS 1S Plus Library Kit. While ssDNA viruses were identified in all three soil types, none were identified in the samples that used bead-beating, suggesting this lysis method may impact recovery. Further, 13 ssDNA vOTUs were identified compared to 582 dsDNA vOTUs, and the ssDNA vOTUs only accounted for ∼4% of the assembled reads, implying dsDNA viruses were dominant in these samples. This optimized approach was combined with the previously published viral resuspension protocol into a sample-to-virome protocol for soils now available at protocols.io, where community feedback creates ‘living’ protocols. This collective approach will be particularly valuable given the high physicochemical variability of soils, which will may require considerable soil type-specific optimization. This optimized protocol provides a starting place for developing quantitatively-amplified viromic datasets and will help enable viral ecogenomic studies on organic-rich soils.
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Affiliation(s)
- Gareth Trubl
- Department of Microbiology, The Ohio State University, Columbus, OH, United States of America.,Current affiliation: Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States of America
| | - Simon Roux
- United States Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Walnut Creek, CA, United States of America
| | - Natalie Solonenko
- Department of Microbiology, The Ohio State University, Columbus, OH, United States of America
| | - Yueh-Fen Li
- Department of Microbiology, The Ohio State University, Columbus, OH, United States of America
| | - Benjamin Bolduc
- Department of Microbiology, The Ohio State University, Columbus, OH, United States of America
| | - Josué Rodríguez-Ramos
- Department of Microbiology, The Ohio State University, Columbus, OH, United States of America.,Current affiliation: Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, United States of America
| | - Emiley A Eloe-Fadrosh
- United States Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Walnut Creek, CA, United States of America
| | - Virginia I Rich
- Department of Microbiology, The Ohio State University, Columbus, OH, United States of America
| | - Matthew B Sullivan
- Department of Microbiology, The Ohio State University, Columbus, OH, United States of America.,Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, OH, United States of America
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38
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Nash MV, Anesio AM, Barker G, Tranter M, Varliero G, Eloe-Fadrosh EA, Nielsen T, Turpin-Jelfs T, Benning LG, Sánchez-Baracaldo P. Metagenomic insights into diazotrophic communities across Arctic glacier forefields. FEMS Microbiol Ecol 2019; 94:5036517. [PMID: 29901729 PMCID: PMC6054269 DOI: 10.1093/femsec/fiy114] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Accepted: 06/11/2018] [Indexed: 11/30/2022] Open
Abstract
Microbial nitrogen fixation is crucial for building labile nitrogen stocks and facilitating higher plant colonisation in oligotrophic glacier forefield soils. Here, the diazotrophic bacterial community structure across four Arctic glacier forefields was investigated using metagenomic analysis. In total, 70 soil metagenomes were used for taxonomic interpretation based on 185 nitrogenase (nif) sequences, extracted from assembled contigs. The low number of recovered genes highlights the need for deeper sequencing in some diverse samples, to uncover the complete microbial populations. A key group of forefield diazotrophs, found throughout the forefields, was identified using a nifH phylogeny, associated with nifH Cluster I and III. Sequences related most closely to groups including Alphaproteobacteria, Betaproteobacteria, Cyanobacteria and Firmicutes. Using multiple nif genes in a Last Common Ancestor analysis revealed a diverse range of diazotrophs across the forefields. Key organisms identified across the forefields included Nostoc, Geobacter, Polaromonas and Frankia. Nitrogen fixers that are symbiotic with plants were also identified, through the presence of root associated diazotrophs, which fix nitrogen in return for reduced carbon. Additional nitrogen fixers identified in forefield soils were metabolically diverse, including fermentative and sulphur cycling bacteria, halophiles and anaerobes.
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Affiliation(s)
- Maisie V Nash
- School of Geographical Sciences, University of Bristol, UK
| | | | - Gary Barker
- School of Life Sciences, University of Bristol, UK
| | - Martyn Tranter
- School of Geographical Sciences, University of Bristol, UK
| | | | | | - Torben Nielsen
- DOE Joint Genome Institute, 2800 Mitchell Drive, Walnut Creek, CA 94598, US
| | | | - Liane G Benning
- GFZ German Research Centre for Geosciences, Telegrafenenberg, 14473 Potsdam, Germany.,School of Earth and Environment, University of Leeds, LS2 9JT, Leeds, UK.,Department of Earth Sciences, Free University of Berlin, Malteserstr, 74-100, Building A, 12249, Berlin, Germany
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39
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Roux S, Trubl G, Goudeau D, Nath N, Couradeau E, Ahlgren NA, Zhan Y, Marsan D, Chen F, Fuhrman JA, Northen TR, Sullivan MB, Rich VI, Malmstrom RR, Eloe-Fadrosh EA. Optimizing de novo genome assembly from PCR-amplified metagenomes. PeerJ 2019; 7:e6902. [PMID: 31119088 PMCID: PMC6511391 DOI: 10.7717/peerj.6902] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [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: 12/27/2018] [Accepted: 04/03/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Metagenomics has transformed our understanding of microbial diversity across ecosystems, with recent advances enabling de novo assembly of genomes from metagenomes. These metagenome-assembled genomes are critical to provide ecological, evolutionary, and metabolic context for all the microbes and viruses yet to be cultivated. Metagenomes can now be generated from nanogram to subnanogram amounts of DNA. However, these libraries require several rounds of PCR amplification before sequencing, and recent data suggest these typically yield smaller and more fragmented assemblies than regular metagenomes. METHODS Here we evaluate de novo assembly methods of 169 PCR-amplified metagenomes, including 25 for which an unamplified counterpart is available, to optimize specific assembly approaches for PCR-amplified libraries. We first evaluated coverage bias by mapping reads from PCR-amplified metagenomes onto reference contigs obtained from unamplified metagenomes of the same samples. Then, we compared different assembly pipelines in terms of assembly size (number of bp in contigs ≥ 10 kb) and error rates to evaluate which are the best suited for PCR-amplified metagenomes. RESULTS Read mapping analyses revealed that the depth of coverage within individual genomes is significantly more uneven in PCR-amplified datasets versus unamplified metagenomes, with regions of high depth of coverage enriched in short inserts. This enrichment scales with the number of PCR cycles performed, and is presumably due to preferential amplification of short inserts. Standard assembly pipelines are confounded by this type of coverage unevenness, so we evaluated other assembly options to mitigate these issues. We found that a pipeline combining read deduplication and an assembly algorithm originally designed to recover genomes from libraries generated after whole genome amplification (single-cell SPAdes) frequently improved assembly of contigs ≥10 kb by 10 to 100-fold for low input metagenomes. CONCLUSIONS PCR-amplified metagenomes have enabled scientists to explore communities traditionally challenging to describe, including some with extremely low biomass or from which DNA is particularly difficult to extract. Here we show that a modified assembly pipeline can lead to an improved de novo genome assembly from PCR-amplified datasets, and enables a better genome recovery from low input metagenomes.
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Affiliation(s)
- Simon Roux
- Department of Energy Joint Genome Institute, Walnut Creek, CA, United States of America
| | - Gareth Trubl
- Department of Microbiology, Ohio State University, Columbus, OH, United States of America
| | - Danielle Goudeau
- Department of Energy Joint Genome Institute, Walnut Creek, CA, United States of America
| | - Nandita Nath
- Department of Energy Joint Genome Institute, Walnut Creek, CA, United States of America
| | - Estelle Couradeau
- Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America
| | - Nathan A. Ahlgren
- Department of Biology, Clark University, Worcester, MA, United States of America
| | - Yuanchao Zhan
- Institution of Marine and Environmental Technology, University of Maryland Center for Environmental Science, Cambridge, MD, United States of America
| | - David Marsan
- Institution of Marine and Environmental Technology, University of Maryland Center for Environmental Science, Cambridge, MD, United States of America
| | - Feng Chen
- Institution of Marine and Environmental Technology, University of Maryland Center for Environmental Science, Cambridge, MD, United States of America
| | - Jed A. Fuhrman
- Department of Biological Sciences, University of Southern California, Los Angeles, CA, United States of America
| | - Trent R. Northen
- Department of Energy Joint Genome Institute, Walnut Creek, CA, United States of America
| | - Matthew B. Sullivan
- Department of Microbiology, Ohio State University, Columbus, OH, United States of America
- Department of Civil, Environmental and Geodetic Engineering, Ohio State University, Columbus, OH, United States of America
| | - Virginia I. Rich
- Department of Microbiology, Ohio State University, Columbus, OH, United States of America
| | - Rex R. Malmstrom
- Department of Energy Joint Genome Institute, Walnut Creek, CA, United States of America
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40
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Ladau J, Eloe-Fadrosh EA. Spatial, Temporal, and Phylogenetic Scales of Microbial Ecology. Trends Microbiol 2019; 27:662-669. [PMID: 31000488 DOI: 10.1016/j.tim.2019.03.003] [Citation(s) in RCA: 64] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 03/04/2019] [Accepted: 03/13/2019] [Indexed: 01/07/2023]
Abstract
Microbial communities play a major role in disease, biogeochemical cycling, agriculture, and bioremediation. However, identifying the ecological processes that govern microbial community assembly and disentangling the relative impacts of those processes has proven challenging. Here, we propose that this discord is due to microbial systems being studied at different spatial, temporal, and phylogenetic scales. We argue that different processes dominate at different scales, and that through a more explicit consideration of spatial, temporal, and phylogenetic grains and extents (the two components of scale) a more accurate, clear, and useful understanding of microbial community assembly can be developed. We demonstrate the value of applying ecological concepts of scale to microbiology, specifically examining their application to nestedness, legacy effects, and taxa-area relationships of microbial systems. These proposed considerations of scale will help resolve long-standing debates in microbial ecology regarding the processes determining the assembly of microbial communities, and provide organizing principles around which hypotheses and theories can be developed.
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41
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Bowers RM, Kyrpides NC, Stepanauskas R, Harmon-Smith M, Doud D, Reddy TBK, Schulz F, Jarett J, Rivers AR, Eloe-Fadrosh EA, Tringe SG, Ivanova NN, Copeland A, Clum A, Becraft ED, Malmstrom RR, Birren B, Podar M, Bork P, Weinstock GM, Garrity GM, Dodsworth JA, Yooseph S, Sutton G, Glöckner FO, Gilbert JA, Nelson WC, Hallam SJ, Jungbluth SP, Ettema TJG, Tighe S, Konstantinidis KT, Liu WT, Baker BJ, Rattei T, Eisen JA, Hedlund B, McMahon KD, Fierer N, Knight R, Finn R, Cochrane G, Karsch-Mizrachi I, Tyson GW, Rinke C, Lapidus A, Meyer F, Yilmaz P, Parks DH, Eren AM, Schriml L, Banfield JF, Hugenholtz P, Woyke T. Corrigendum: Minimum information about a single amplified genome (MISAG) and a metagenome-assembled genome (MIMAG) of bacteria and archaea. Nat Biotechnol 2018; 36:660. [PMID: 29979671 PMCID: PMC7608355 DOI: 10.1038/nbt0718-660a] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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42
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Tschitschko B, Erdmann S, DeMaere MZ, Roux S, Panwar P, Allen MA, Williams TJ, Brazendale S, Hancock AM, Eloe-Fadrosh EA, Cavicchioli R. Genomic variation and biogeography of Antarctic haloarchaea. Microbiome 2018; 6:113. [PMID: 29925429 PMCID: PMC6011602 DOI: 10.1186/s40168-018-0495-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [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: 04/30/2018] [Accepted: 06/06/2018] [Indexed: 05/10/2023]
Abstract
BACKGROUND The genomes of halophilic archaea (haloarchaea) often comprise multiple replicons. Genomic variation in haloarchaea has been linked to viral infection pressure and, in the case of Antarctic communities, can be caused by intergenera gene exchange. To expand understanding of genome variation and biogeography of Antarctic haloarchaea, here we assessed genomic variation between two strains of Halorubrum lacusprofundi that were isolated from Antarctic hypersaline lakes from different regions (Vestfold Hills and Rauer Islands). To assess variation in haloarchaeal populations, including the presence of genomic islands, metagenomes from six hypersaline Antarctic lakes were characterised. RESULTS The sequence of the largest replicon of each Hrr. lacusprofundi strain (primary replicon) was highly conserved, while each of the strains' two smaller replicons (secondary replicons) were highly variable. Intergenera gene exchange was identified, including the sharing of a type I-B CRISPR system. Evaluation of infectivity of an Antarctic halovirus provided experimental evidence for the differential susceptibility of the strains, bolstering inferences that strain variation is important for modulating interactions with viruses. A relationship was found between genomic structuring and the location of variation within replicons and genomic islands, demonstrating that the way in which haloarchaea accommodate genomic variability relates to replicon structuring. Metagenome read and contig mapping and clustering and scaling analyses demonstrated biogeographical patterning of variation consistent with environment and distance effects. The metagenome data also demonstrated that specific haloarchaeal species dominated the hypersaline systems indicating they are endemic to Antarctica. CONCLUSION The study describes how genomic variation manifests in Antarctic-lake haloarchaeal communities and provides the basis for future assessments of Antarctic regional and global biogeography of haloarchaea.
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Affiliation(s)
- Bernhard Tschitschko
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, 2052, Australia
- Present Address: Climate Change Cluster, Department of Environmental Sciences, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Susanne Erdmann
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, 2052, Australia
| | - Matthew Z DeMaere
- i3 Institute, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Simon Roux
- Department of Energy Joint Genome Institute, Walnut Creek, CA, USA
| | - Pratibha Panwar
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, 2052, Australia
| | - Michelle A Allen
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, 2052, Australia
| | - Timothy J Williams
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, 2052, Australia
| | - Sarah Brazendale
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, 2052, Australia
- , Present Address: 476 Lancaster Rd, Pegarah, Australia
| | - Alyce M Hancock
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, 2052, Australia
- Present Address: University of Tasmania Institute of Marine and Antarctic Studies, Antarctic Gateway Partnership and Antarctic Climate and Ecosystem Research Centre, Battery Point, Tasmania, Australia
| | | | - Ricardo Cavicchioli
- School of Biotechnology and Biomolecular Sciences, UNSW Sydney, Sydney, New South Wales, 2052, Australia.
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43
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Mukherjee S, Seshadri R, Varghese NJ, Eloe-Fadrosh EA, Meier-Kolthoff JP, Göker M, Coates RC, Hadjithomas M, Pavlopoulos GA, Paez-Espino D, Yoshikuni Y, Visel A, Whitman WB, Garrity GM, Eisen JA, Hugenholtz P, Pati A, Ivanova NN, Woyke T, Klenk HP, Kyrpides NC. Erratum: 1,003 reference genomes of bacterial and archaeal isolates expand coverage of the tree of life. Nat Biotechnol 2018. [DOI: 10.1038/nbt0418-368c] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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44
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Chen LX, Méndez-García C, Dombrowski N, Servín-Garcidueñas LE, Eloe-Fadrosh EA, Fang BZ, Luo ZH, Tan S, Zhi XY, Hua ZS, Martinez-Romero E, Woyke T, Huang LN, Sánchez J, Peláez AI, Ferrer M, Baker BJ, Shu WS. Metabolic versatility of small archaea Micrarchaeota and Parvarchaeota. ISME J 2018; 12:756-775. [PMID: 29222443 PMCID: PMC5864196 DOI: 10.1038/s41396-017-0002-z] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 08/26/2017] [Accepted: 10/09/2017] [Indexed: 11/17/2022]
Abstract
Small acidophilic archaea belonging to Micrarchaeota and Parvarchaeota phyla are known to physically interact with some Thermoplasmatales members in nature. However, due to a lack of cultivation and limited genomes on hand, their biodiversity, metabolisms, and physiologies remain largely unresolved. Here, we obtained 39 genomes from acid mine drainage (AMD) and hot spring environments around the world. 16S rRNA gene based analyses revealed that Parvarchaeota were only detected in AMD and hot spring habitats, while Micrarchaeota were also detected in others including soil, peat, hypersaline mat, and freshwater, suggesting a considerable higher diversity and broader than expected habitat distribution for this phylum. Despite their small genomes (0.64-1.08 Mb), these archaea may contribute to carbon and nitrogen cycling by degrading multiple saccharides and proteins, and produce ATP via aerobic respiration and fermentation. Additionally, we identified several syntenic genes with homology to those involved in iron oxidation in six Parvarchaeota genomes, suggesting their potential role in iron cycling. However, both phyla lack biosynthetic pathways for amino acids and nucleotides, suggesting that they likely scavenge these biomolecules from the environment and/or other community members. Moreover, low-oxygen enrichments in laboratory confirmed our speculation that both phyla are microaerobic/anaerobic, based on several specific genes identified in them. Furthermore, phylogenetic analyses provide insights into the close evolutionary history of energy related functionalities between both phyla with Thermoplasmatales. These results expand our understanding of these elusive archaea by revealing their involvement in carbon, nitrogen, and iron cycling, and suggest their potential interactions with Thermoplasmatales on genomic scale.
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Affiliation(s)
- Lin-Xing Chen
- State Key Laboratory of Biocontrol, Guangdong Key Laboratory of Plant Resources, College of Ecology and Evolution, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Celia Méndez-García
- Departamento de Biología Funcional-IUBA, Universidad de Oviedo, Oviedo, Spain
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, USA
| | - Nina Dombrowski
- Department of Marine Science, University of Texas Austin, Marine Science Institute, Port Aransas, TX, 78373, USA
| | - Luis E Servín-Garcidueñas
- Laboratory of Microbiomics, National School of Higher Studies Morelia, National University of Mexico, Morelia, Michoacan, 58190, Mexico
| | | | - Bao-Zhu Fang
- State Key Laboratory of Biocontrol, Guangdong Key Laboratory of Plant Resources, College of Ecology and Evolution, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Zhen-Hao Luo
- State Key Laboratory of Biocontrol, Guangdong Key Laboratory of Plant Resources, College of Ecology and Evolution, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Sha Tan
- State Key Laboratory of Biocontrol, Guangdong Key Laboratory of Plant Resources, College of Ecology and Evolution, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Xiao-Yang Zhi
- Yunnan Institute of Microbiology, Yunnan University, Kunming, 650091, People's Republic of China
| | - Zheng-Shuang Hua
- State Key Laboratory of Biocontrol, Guangdong Key Laboratory of Plant Resources, College of Ecology and Evolution, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Esperanza Martinez-Romero
- Department of Ecological Genomics, Center for Genomic Sciences, National University of Mexico, Cuernavaca, Morelos, 62210, Mexico
| | - Tanja Woyke
- Department of Energy Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Li-Nan Huang
- State Key Laboratory of Biocontrol, Guangdong Key Laboratory of Plant Resources, College of Ecology and Evolution, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China
| | - Jesús Sánchez
- Departamento de Biología Funcional-IUBA, Universidad de Oviedo, Oviedo, Spain
| | - Ana Isabel Peláez
- Departamento de Biología Funcional-IUBA, Universidad de Oviedo, Oviedo, Spain
| | - Manuel Ferrer
- Institute of Catalysis, Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Brett J Baker
- Department of Marine Science, University of Texas Austin, Marine Science Institute, Port Aransas, TX, 78373, USA.
| | - Wen-Sheng Shu
- School of Life Sciences, South China Normal University, Guangzhou, 510631, People's Republic of China.
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45
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Bowers RM, Kyrpides NC, Stepanauskas R, Harmon-Smith M, Doud D, Reddy TBK, Schulz F, Jarett J, Rivers AR, Eloe-Fadrosh EA, Tringe SG, Ivanova NN, Copeland A, Clum A, Becraft ED, Malmstrom RR, Birren B, Podar M, Bork P, Weinstock GM, Garrity GM, Dodsworth JA, Yooseph S, Sutton G, Glöckner FO, Gilbert JA, Nelson WC, Hallam SJ, Jungbluth SP, Ettema TJG, Tighe S, Konstantinidis KT, Liu WT, Baker BJ, Rattei T, Eisen JA, Hedlund B, McMahon KD, Fierer N, Knight R, Finn R, Cochrane G, Karsch-Mizrachi I, Tyson GW, Rinke C, Lapidus A, Meyer F, Yilmaz P, Parks DH, Eren AM, Schriml L, Banfield JF, Hugenholtz P, Woyke T. Corrigendum: Minimum information about a single amplified genome (MISAG) and a metagenome-assembled genome (MIMAG) of bacteria and archaea. Nat Biotechnol 2018; 36:196. [PMID: 29406516 PMCID: PMC7609277 DOI: 10.1038/nbt0218-196a] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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46
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Kyrpides NC, Eloe-Fadrosh EA, Ivanova NN. Microbiome Data Science: Understanding Our Microbial Planet. Trends Microbiol 2017; 24:425-427. [PMID: 27197692 DOI: 10.1016/j.tim.2016.02.011] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Revised: 02/09/2016] [Accepted: 02/19/2016] [Indexed: 10/21/2022]
Abstract
Microbiology is experiencing a revolution brought on by recent developments in sequencing technology. The unprecedented volume of microbiome data being generated poses significant challenges that are currently hindering progress in the field. Here, we outline the major bottlenecks and propose a vision to advance microbiome research as a data-driven science.
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Affiliation(s)
- Nikos C Kyrpides
- Prokaryotic Super Program, Department of Energy Joint Genome Institute, Walnut Creek, CA, USA.
| | - Emiley A Eloe-Fadrosh
- Prokaryotic Super Program, Department of Energy Joint Genome Institute, Walnut Creek, CA, USA
| | - Natalia N Ivanova
- Prokaryotic Super Program, Department of Energy Joint Genome Institute, Walnut Creek, CA, USA
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47
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Schulz F, Eloe-Fadrosh EA, Bowers RM, Jarett J, Nielsen T, Ivanova NN, Kyrpides NC, Woyke T. Correction to: Towards a balanced view of the bacterial tree of life. Microbiome 2017; 5:149. [PMID: 29141685 PMCID: PMC5686848 DOI: 10.1186/s40168-017-0367-2] [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] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 11/01/2017] [Indexed: 06/07/2023]
Abstract
Following publication of the original article [1], the authors pointed out that the figure shown as figure S1 is actually figure S2 and vice versa. Figure S1 should show the barcharts, and figure S2 should shows the heatmaps. Figures captions are in the correct order. 1) "...SILVA-only OTUs (37,066 97% OTUs and 1266 85% clusters) (Additional file 3: Figure S2 )..." - > ...SILVA-only OTUs (37,066 97% OTUs and 1266 85% clusters) (Additional file 3: Figure S1 )..." 2) "...in groundwater and soil (Fig. 2, Additional file 2: Figure S1 )." - > "in groundwater and soil (Fig. 2, Additional file 2: Figure S2 )." 3) "...from genomes as training data (Additional file 3: Figure S2 , ..." - > "...from genomes as training data (Additional file 3: Figure S1 , ..." 4) "...were predicted to be chimeric (Additional file 3: Figure S2 )" - > "...were predicted to be chimeric (Additional file 3: Figure S1 )".
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Affiliation(s)
- Frederik Schulz
- Department of Energy Joint Genome Institute, Walnut Creek, CA, USA.
| | | | - Robert M Bowers
- Department of Energy Joint Genome Institute, Walnut Creek, CA, USA
| | - Jessica Jarett
- Department of Energy Joint Genome Institute, Walnut Creek, CA, USA
| | - Torben Nielsen
- Department of Energy Joint Genome Institute, Walnut Creek, CA, USA
| | | | - Nikos C Kyrpides
- Department of Energy Joint Genome Institute, Walnut Creek, CA, USA
| | - Tanja Woyke
- Department of Energy Joint Genome Institute, Walnut Creek, CA, USA.
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48
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Schulz F, Eloe-Fadrosh EA, Bowers RM, Jarett J, Nielsen T, Ivanova NN, Kyrpides NC, Woyke T. Towards a balanced view of the bacterial tree of life. Microbiome 2017; 5:140. [PMID: 29041958 PMCID: PMC5644168 DOI: 10.1186/s40168-017-0360-9] [Citation(s) in RCA: 42] [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: 08/21/2017] [Accepted: 10/03/2017] [Indexed: 05/24/2023]
Abstract
The bacterial tree of life has recently undergone significant expansion, chiefly from candidate phyla retrieved through genome-resolved metagenomics. Bypassing the need for genome availability, we present a snapshot of bacterial phylogenetic diversity based on the recovery of high-quality SSU rRNA gene sequences extracted from nearly 7000 metagenomes and all available reference genomes. We illuminate taxonomic richness within established bacterial phyla together with environmental distribution patterns, providing a revised framework for future phylogeny-driven sequencing efforts.
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Affiliation(s)
- Frederik Schulz
- Department of Energy Joint Genome Institute, Walnut Creek, California USA
| | | | - Robert M. Bowers
- Department of Energy Joint Genome Institute, Walnut Creek, California USA
| | - Jessica Jarett
- Department of Energy Joint Genome Institute, Walnut Creek, California USA
| | - Torben Nielsen
- Department of Energy Joint Genome Institute, Walnut Creek, California USA
| | - Natalia N. Ivanova
- Department of Energy Joint Genome Institute, Walnut Creek, California USA
| | - Nikos C. Kyrpides
- Department of Energy Joint Genome Institute, Walnut Creek, California USA
| | - Tanja Woyke
- Department of Energy Joint Genome Institute, Walnut Creek, California USA
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49
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Roux S, Emerson JB, Eloe-Fadrosh EA, Sullivan MB. Benchmarking viromics: an in silico evaluation of metagenome-enabled estimates of viral community composition and diversity. PeerJ 2017; 5:e3817. [PMID: 28948103 PMCID: PMC5610896 DOI: 10.7717/peerj.3817] [Citation(s) in RCA: 157] [Impact Index Per Article: 22.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2017] [Accepted: 08/26/2017] [Indexed: 12/20/2022] Open
Abstract
Background Viral metagenomics (viromics) is increasingly used to obtain uncultivated viral genomes, evaluate community diversity, and assess ecological hypotheses. While viromic experimental methods are relatively mature and widely accepted by the research community, robust bioinformatics standards remain to be established. Here we used in silico mock viral communities to evaluate the viromic sequence-to-ecological-inference pipeline, including (i) read pre-processing and metagenome assembly, (ii) thresholds applied to estimate viral relative abundances based on read mapping to assembled contigs, and (iii) normalization methods applied to the matrix of viral relative abundances for alpha and beta diversity estimates. Results Tools specifically designed for metagenomes, specifically metaSPAdes, MEGAHIT, and IDBA-UD, were the most effective at assembling viromes. Read pre-processing, such as partitioning, had virtually no impact on assembly output, but may be useful when hardware is limited. Viral populations with 2–5 × coverage typically assembled well, whereas lesser coverage led to fragmented assembly. Strain heterogeneity within populations hampered assembly, especially when strains were closely related (average nucleotide identity, or ANI ≥97%) and when the most abundant strain represented <50% of the population. Viral community composition assessments based on read recruitment were generally accurate when the following thresholds for detection were applied: (i) ≥10 kb contig lengths to define populations, (ii) coverage defined from reads mapping at ≥90% identity, and (iii) ≥75% of contig length with ≥1 × coverage. Finally, although data are limited to the most abundant viruses in a community, alpha and beta diversity patterns were robustly estimated (±10%) when comparing samples of similar sequencing depth, but more divergent (up to 80%) when sequencing depth was uneven across the dataset. In the latter cases, the use of normalization methods specifically developed for metagenomes provided the best estimates. Conclusions These simulations provide benchmarks for selecting analysis cut-offs and establish that an optimized sample-to-ecological-inference viromics pipeline is robust for making ecological inferences from natural viral communities. Continued development to better accessing RNA, rare, and/or diverse viral populations and improved reference viral genome availability will alleviate many of viromics remaining limitations.
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Affiliation(s)
- Simon Roux
- Department of Microbiology, Ohio State University, Columbus, OH, United States of America
| | - Joanne B Emerson
- Department of Microbiology, Ohio State University, Columbus, OH, United States of America
| | - Emiley A Eloe-Fadrosh
- Joint Genome Institute, Department of Energy, Walnut Creek, CA, United States of America
| | - Matthew B Sullivan
- Department of Microbiology, Ohio State University, Columbus, OH, United States of America.,Department of Civil, Environmental and Geodetic Engineering, Ohio State University, Columbus, OH, United States of America
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50
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Bowers RM, Kyrpides NC, Stepanauskas R, Harmon-Smith M, Doud D, Reddy TBK, Schulz F, Jarett J, Rivers AR, Eloe-Fadrosh EA, Tringe SG, Ivanova NN, Copeland A, Clum A, Becraft ED, Malmstrom RR, Birren B, Podar M, Bork P, Weinstock GM, Garrity GM, Dodsworth JA, Yooseph S, Sutton G, Glöckner FO, Gilbert JA, Nelson WC, Hallam SJ, Jungbluth SP, Ettema TJG, Tighe S, Konstantinidis KT, Liu WT, Baker BJ, Rattei T, Eisen JA, Hedlund B, McMahon KD, Fierer N, Knight R, Finn R, Cochrane G, Karsch-Mizrachi I, Tyson GW, Rinke C, Lapidus A, Meyer F, Yilmaz P, Parks DH, Eren AM, Schriml L, Banfield JF, Hugenholtz P, Woyke T. Minimum information about a single amplified genome (MISAG) and a metagenome-assembled genome (MIMAG) of bacteria and archaea. Nat Biotechnol 2017; 35:725-731. [PMID: 28787424 PMCID: PMC6436528 DOI: 10.1038/nbt.3893] [Citation(s) in RCA: 975] [Impact Index Per Article: 139.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Accepted: 04/27/2017] [Indexed: 12/20/2022]
Abstract
Standards for sequencing the microbial 'uncultivated majority', namely bacterial and archaeal single-cell genome sequences, and genome sequences from metagenomic datasets, are proposed. We present two standards developed by the Genomic Standards Consortium (GSC) for reporting bacterial and archaeal genome sequences. Both are extensions of the Minimum Information about Any (x) Sequence (MIxS). The standards are the Minimum Information about a Single Amplified Genome (MISAG) and the Minimum Information about a Metagenome-Assembled Genome (MIMAG), including, but not limited to, assembly quality, and estimates of genome completeness and contamination. These standards can be used in combination with other GSC checklists, including the Minimum Information about a Genome Sequence (MIGS), Minimum Information about a Metagenomic Sequence (MIMS), and Minimum Information about a Marker Gene Sequence (MIMARKS). Community-wide adoption of MISAG and MIMAG will facilitate more robust comparative genomic analyses of bacterial and archaeal diversity.
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Affiliation(s)
- Robert M Bowers
- Department of Energy Joint Genome Institute, Walnut Creek, California, USA
| | - Nikos C Kyrpides
- Department of Energy Joint Genome Institute, Walnut Creek, California, USA
| | | | | | - Devin Doud
- Department of Energy Joint Genome Institute, Walnut Creek, California, USA
| | - T B K Reddy
- Department of Energy Joint Genome Institute, Walnut Creek, California, USA
| | - Frederik Schulz
- Department of Energy Joint Genome Institute, Walnut Creek, California, USA
| | - Jessica Jarett
- Department of Energy Joint Genome Institute, Walnut Creek, California, USA
| | - Adam R Rivers
- Department of Energy Joint Genome Institute, Walnut Creek, California, USA.,United States Department of Agriculture, Agricultural Research Service, Genomics and Bioinformatics Research Unit, Gainesville, Florida, USA
| | | | - Susannah G Tringe
- Department of Energy Joint Genome Institute, Walnut Creek, California, USA.,School of Natural Sciences, University of California Merced, Merced, California, USA
| | - Natalia N Ivanova
- Department of Energy Joint Genome Institute, Walnut Creek, California, USA
| | - Alex Copeland
- Department of Energy Joint Genome Institute, Walnut Creek, California, USA
| | - Alicia Clum
- Department of Energy Joint Genome Institute, Walnut Creek, California, USA
| | - Eric D Becraft
- Bigelow Laboratory for Ocean Sciences, East Boothbay, Maine, USA
| | - Rex R Malmstrom
- Department of Energy Joint Genome Institute, Walnut Creek, California, USA
| | | | - Mircea Podar
- Biosciences Division, Oak Ridge National Laboratory, Oakridge Tennessee, USA
| | - Peer Bork
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - George M Weinstock
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA
| | - George M Garrity
- Department of Microbiology &Molecular Genetics, Biomedical Physical Sciences, Michigan State University, East Lansing, Michigan, USA
| | - Jeremy A Dodsworth
- Department of Biology, California State University, San Bernardino, California, USA
| | - Shibu Yooseph
- J. Craig Venter Institute, San Diego, California, USA
| | | | - Frank O Glöckner
- Microbial Genomics and Bioinformatics Research Group, Max Planck Institute for Marine Microbiology, Bremen, Germany
| | - Jack A Gilbert
- Biosciences Division, Argonne National Laboratory, Argonne, Illinois, USA.,Department of Surgery, University of Chicago, Chicago, Illinois, USA
| | - William C Nelson
- Biological Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Steven J Hallam
- Department of Microbiology &Immunology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sean P Jungbluth
- Department of Energy Joint Genome Institute, Walnut Creek, California, USA.,Center for Dark Energy Biosphere Investigation, University of Southern California, Los Angeles, California, USA
| | - Thijs J G Ettema
- Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Scott Tighe
- Advanced Genomics Lab, University of Vermont Cancer Center, Burlington Vermont, USA
| | | | - Wen-Tso Liu
- Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Brett J Baker
- Department of Marine Science, University of Texas-Austin, Marine Science Institute, Austin, Texas, USA
| | - Thomas Rattei
- Department of Microbiology and Ecosystem Science, University of Vienna, Vienna, Austria
| | | | - Brian Hedlund
- School of Life Sciences, University of Nevada Las Vegas, Las Vegas, Nevada, USA.,Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, Nevada, USA
| | - Katherine D McMahon
- Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.,Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Noah Fierer
- Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA.,Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, USA
| | - Rob Knight
- Center for Microbiome Innovation, and Departments of Pediatrics and Computer Science &Engineering, University of California San Diego, La Jolla, California, USA
| | - Rob Finn
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Welcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - Guy Cochrane
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Welcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - Ilene Karsch-Mizrachi
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| | - Gene W Tyson
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Christian Rinke
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland, Australia
| | | | - Alla Lapidus
- Centre for Algorithmic Biotechnology, ITBM, St. Petersburg State University, St. Petersburg, Russia
| | - Folker Meyer
- Biosciences Division, Argonne National Laboratory, Argonne, Illinois, USA
| | - Pelin Yilmaz
- Microbial Genomics and Bioinformatics Research Group, Max Planck Institute for Marine Microbiology, Bremen, Germany
| | - Donovan H Parks
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland, Australia
| | - A M Eren
- Knapp Center for Biomedical Discovery, Chicago, Illinois, USA
| | - Lynn Schriml
- National Cancer Institute, Frederick, Maryland, USA
| | - Jillian F Banfield
- Department of Earth and Planetary Science, University of California, Berkeley, California, USA
| | - Philip Hugenholtz
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Tanja Woyke
- Department of Energy Joint Genome Institute, Walnut Creek, California, USA.,School of Natural Sciences, University of California Merced, Merced, California, USA
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