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      IMG/VR: a database of cultured and uncultured DNA Viruses and retroviruses

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          Abstract

          Viruses represent the most abundant life forms on the planet. Recent experimental and computational improvements have led to a dramatic increase in the number of viral genome sequences identified primarily from metagenomic samples. As a result of the expanding catalog of metagenomic viral sequences, there exists a need for a comprehensive computational platform integrating all these sequences with associated metadata and analytical tools. Here we present IMG/VR ( https://img.jgi.doe.gov/vr/), the largest publicly available database of 3908 isolate reference DNA viruses with 264 413 computationally identified viral contigs from >6000 ecologically diverse metagenomic samples. Approximately half of the viral contigs are grouped into genetically distinct quasi-species clusters. Microbial hosts are predicted for 20 000 viral sequences, revealing nine microbial phyla previously unreported to be infected by viruses. Viral sequences can be queried using a variety of associated metadata, including habitat type and geographic location of the samples, or taxonomic classification according to hallmark viral genes. IMG/VR has a user-friendly interface that allows users to interrogate all integrated data and interact by comparing with external sequences, thus serving as an essential resource in the viral genomics community.

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          Functional metagenomic profiling of nine biomes.

          Microbial activities shape the biogeochemistry of the planet and macroorganism health. Determining the metabolic processes performed by microbes is important both for understanding and for manipulating ecosystems (for example, disruption of key processes that lead to disease, conservation of environmental services, and so on). Describing microbial function is hampered by the inability to culture most microbes and by high levels of genomic plasticity. Metagenomic approaches analyse microbial communities to determine the metabolic processes that are important for growth and survival in any given environment. Here we conduct a metagenomic comparison of almost 15 million sequences from 45 distinct microbiomes and, for the first time, 42 distinct viromes and show that there are strongly discriminatory metabolic profiles across environments. Most of the functional diversity was maintained in all of the communities, but the relative occurrence of metabolisms varied, and the differences between metagenomes predicted the biogeochemical conditions of each environment. The magnitude of the microbial metabolic capabilities encoded by the viromes was extensive, suggesting that they serve as a repository for storing and sharing genes among their microbial hosts and influence global evolutionary and metabolic processes.
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            The Genomes OnLine Database (GOLD) v.4: status of genomic and metagenomic projects and their associated metadata

            The Genomes OnLine Database (GOLD, http://www.genomesonline.org/) is a comprehensive resource for centralized monitoring of genome and metagenome projects worldwide. Both complete and ongoing projects, along with their associated metadata, can be accessed in GOLD through precomputed tables and a search page. As of September 2011, GOLD, now on version 4.0, contains information for 11 472 sequencing projects, of which 2907 have been completed and their sequence data has been deposited in a public repository. Out of these complete projects, 1918 are finished and 989 are permanent drafts. Moreover, GOLD contains information for 340 metagenome studies associated with 1927 metagenome samples. GOLD continues to expand, moving toward the goal of providing the most comprehensive repository of metadata information related to the projects and their organisms/environments in accordance with the Minimum Information about any (x) Sequence specification and beyond.
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              Viral dark matter and virus–host interactions resolved from publicly available microbial genomes

              The ecological importance of viruses is now widely recognized, yet our limited knowledge of viral sequence space and virus–host interactions precludes accurate prediction of their roles and impacts. In this study, we mined publicly available bacterial and archaeal genomic data sets to identify 12,498 high-confidence viral genomes linked to their microbial hosts. These data augment public data sets 10-fold, provide first viral sequences for 13 new bacterial phyla including ecologically abundant phyla, and help taxonomically identify 7–38% of ‘unknown’ sequence space in viromes. Genome- and network-based classification was largely consistent with accepted viral taxonomy and suggested that (i) 264 new viral genera were identified (doubling known genera) and (ii) cross-taxon genomic recombination is limited. Further analyses provided empirical data on extrachromosomal prophages and coinfection prevalences, as well as evaluation of in silico virus–host linkage predictions. Together these findings illustrate the value of mining viral signal from microbial genomes. DOI: http://dx.doi.org/10.7554/eLife.08490.001
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                04 January 2017
                30 October 2016
                30 October 2016
                : 45
                : Database issue , Database issue
                : D457-D465
                Affiliations
                [1 ]Department of Energy, Joint Genome Institute, Walnut Creek, CA 94598, USA
                [2 ]Biological Data Management and Technology Center, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA
                [3 ]Departments of Microbiology and Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, OH 43210, USA
                [4 ]Department of Biological Sciences, Clemson University, Clemson, SC 29634, USA
                [5 ]Institute of Marine and Environmental Technology, University of Maryland Center for Environmental Science, Baltimore, MD 21202, USA
                [6 ]Department of Civil and Environmental Engineering, Department of Bacteriology, University of Wisconsin, Madison, WI 53706, USA
                [7 ]Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
                [8 ]Genome Science, Technology, and Program in Bioinformatics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
                [9 ]Peter Wall Institute for Advanced Studies, University of British Columbia, Vancouver, BC V6T 1Z2, Canada
                [10 ]ECOSCOPE Training Program, University of British Columbia, Vancouver, BC V6T 0A1, Canada
                [11 ]Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109-1048, USA
                [12 ]School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, NSW 2052, Australia
                [13 ]Department of Biological Sciences, University of Calgary, Calgary, AB T2N 4V8, Canada
                [14 ]Biocenter Klein Flottbek, Department of Microbiology and Biotechnology, University of Hamburg, Hamburg 22609, Germany
                [15 ]School of Biological Sciences, University of Auckland, Auckland 1010, New Zealand
                [16 ]Department of Systems Biology, Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education, and Extension Organization, Karaj 31535–1897, Iran
                [17 ]Shell International Exploration and Production Inc., Houston, TX 77082, USA
                [18 ]Department of Biochemistry, Institute of Chemistry, Universidade de Sao Paulo, SP 05508-000, Brazil
                [19 ]Department of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås 1432, Norway
                [20 ]Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
                Author notes
                [* ]To whom correspondence should be addressed. Tel: +1 925 296 5718; Fax: +1 925 296 5666; Email: nckyrpides@ 123456lbl.gov
                Article
                10.1093/nar/gkw1030
                5210529
                27799466
                bd019531-e9c8-487b-aaec-c53d0836213f
                © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 27 October 2016
                : 15 October 2016
                : 16 September 2016
                Page count
                Pages: 9
                Categories
                Database Issue
                Custom metadata
                04 January 2017

                Genetics
                Genetics

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