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  • 1
    Publication Date: 2010-11-05
    Description: The understanding of marine microbial ecology and metabolism has been hampered by the paucity of sequenced reference genomes. To this end, we report the sequencing of 137 diverse marine isolates collected from around the world. We analysed these sequences, along with previously published marine prokaryotic genomes, in the context of marine metagenomic data, to gain insights into the ecology of the surface ocean prokaryotic picoplankton (0.1-3.0 mum size range). The results suggest that the sequenced genomes define two microbial groups: one composed of only a few taxa that are nearly always abundant in picoplanktonic communities, and the other consisting of many microbial taxa that are rarely abundant. The genomic content of the second group suggests that these microbes are capable of slow growth and survival in energy-limited environments, and rapid growth in energy-rich environments. By contrast, the abundant and cosmopolitan picoplanktonic prokaryotes for which there is genomic representation have smaller genomes, are probably capable of only slow growth and seem to be relatively unable to sense or rapidly acclimate to energy-rich conditions. Their genomic features also lead us to propose that one method used to avoid predation by viruses and/or bacterivores is by means of slow growth and the maintenance of low biomass.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yooseph, Shibu -- Nealson, Kenneth H -- Rusch, Douglas B -- McCrow, John P -- Dupont, Christopher L -- Kim, Maria -- Johnson, Justin -- Montgomery, Robert -- Ferriera, Steve -- Beeson, Karen -- Williamson, Shannon J -- Tovchigrechko, Andrey -- Allen, Andrew E -- Zeigler, Lisa A -- Sutton, Granger -- Eisenstadt, Eric -- Rogers, Yu-Hui -- Friedman, Robert -- Frazier, Marvin -- Venter, J Craig -- England -- Nature. 2010 Nov 4;468(7320):60-6. doi: 10.1038/nature09530.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉J. Craig Venter Institute, Rockville, Maryland 20850, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21048761" target="_blank"〉PubMed〈/a〉
    Keywords: Aquatic Organisms/classification/*genetics/isolation & purification/virology ; Biodiversity ; Biomass ; Databases, Protein ; Genome, Bacterial/genetics ; *Genomics ; *Metagenome ; Models, Biological ; Oceans and Seas ; Phylogeny ; Plankton/*genetics/growth & development/isolation & purification/metabolism ; Prokaryotic Cells/classification/*metabolism/virology ; RNA, Ribosomal, 16S/genetics ; Water Microbiology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2010-05-22
    Description: The human microbiome refers to the community of microorganisms, including prokaryotes, viruses, and microbial eukaryotes, that populate the human body. The National Institutes of Health launched an initiative that focuses on describing the diversity of microbial species that are associated with health and disease. The first phase of this initiative includes the sequencing of hundreds of microbial reference genomes, coupled to metagenomic sequencing from multiple body sites. Here we present results from an initial reference genome sequencing of 178 microbial genomes. From 547,968 predicted polypeptides that correspond to the gene complement of these strains, previously unidentified ("novel") polypeptides that had both unmasked sequence length greater than 100 amino acids and no BLASTP match to any nonreference entry in the nonredundant subset were defined. This analysis resulted in a set of 30,867 polypeptides, of which 29,987 (approximately 97%) were unique. In addition, this set of microbial genomes allows for approximately 40% of random sequences from the microbiome of the gastrointestinal tract to be associated with organisms based on the match criteria used. Insights into pan-genome analysis suggest that we are still far from saturating microbial species genetic data sets. In addition, the associated metrics and standards used by our group for quality assurance are presented.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2940224/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2940224/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Human Microbiome Jumpstart Reference Strains Consortium -- Nelson, Karen E -- Weinstock, George M -- Highlander, Sarah K -- Worley, Kim C -- Creasy, Heather Huot -- Wortman, Jennifer Russo -- Rusch, Douglas B -- Mitreva, Makedonka -- Sodergren, Erica -- Chinwalla, Asif T -- Feldgarden, Michael -- Gevers, Dirk -- Haas, Brian J -- Madupu, Ramana -- Ward, Doyle V -- Birren, Bruce W -- Gibbs, Richard A -- Methe, Barbara -- Petrosino, Joseph F -- Strausberg, Robert L -- Sutton, Granger G -- White, Owen R -- Wilson, Richard K -- Durkin, Scott -- Giglio, Michelle Gwinn -- Gujja, Sharvari -- Howarth, Clint -- Kodira, Chinnappa D -- Kyrpides, Nikos -- Mehta, Teena -- Muzny, Donna M -- Pearson, Matthew -- Pepin, Kymberlie -- Pati, Amrita -- Qin, Xiang -- Yandava, Chandri -- Zeng, Qiandong -- Zhang, Lan -- Berlin, Aaron M -- Chen, Lei -- Hepburn, Theresa A -- Johnson, Justin -- McCorrison, Jamison -- Miller, Jason -- Minx, Pat -- Nusbaum, Chad -- Russ, Carsten -- Sykes, Sean M -- Tomlinson, Chad M -- Young, Sarah -- Warren, Wesley C -- Badger, Jonathan -- Crabtree, Jonathan -- Markowitz, Victor M -- Orvis, Joshua -- Cree, Andrew -- Ferriera, Steve -- Fulton, Lucinda L -- Fulton, Robert S -- Gillis, Marcus -- Hemphill, Lisa D -- Joshi, Vandita -- Kovar, Christie -- Torralba, Manolito -- Wetterstrand, Kris A -- Abouellleil, Amr -- Wollam, Aye M -- Buhay, Christian J -- Ding, Yan -- Dugan, Shannon -- FitzGerald, Michael G -- Holder, Mike -- Hostetler, Jessica -- Clifton, Sandra W -- Allen-Vercoe, Emma -- Earl, Ashlee M -- Farmer, Candace N -- Liolios, Konstantinos -- Surette, Michael G -- Xu, Qiang -- Pohl, Craig -- Wilczek-Boney, Katarzyna -- Zhu, Dianhui -- HHSN272200900017C/PHS HHS/ -- N01 AI30071/AI/NIAID NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- U54 HG003273-04/HG/NHGRI NIH HHS/ -- U54 HG003273-04S1/HG/NHGRI NIH HHS/ -- U54 HG003273-05/HG/NHGRI NIH HHS/ -- U54 HG003273-05S1/HG/NHGRI NIH HHS/ -- U54 HG003273-05S2/HG/NHGRI NIH HHS/ -- U54 HG003273-06/HG/NHGRI NIH HHS/ -- U54 HG003273-06S1/HG/NHGRI NIH HHS/ -- U54 HG003273-06S2/HG/NHGRI NIH HHS/ -- U54 HG003273-07/HG/NHGRI NIH HHS/ -- U54 HG003273-08/HG/NHGRI NIH HHS/ -- U54 HG004973/HG/NHGRI NIH HHS/ -- U54 HG004973-01/HG/NHGRI NIH HHS/ -- U54 HG004973-02/HG/NHGRI NIH HHS/ -- U54-AI084844/AI/NIAID NIH HHS/ -- U54-HG003079/HG/NHGRI NIH HHS/ -- U54-HG003273/HG/NHGRI NIH HHS/ -- U54-HG004968/HG/NHGRI NIH HHS/ -- U54-HG004969/HG/NHGRI NIH HHS/ -- U54-HG004973/HG/NHGRI NIH HHS/ -- Canadian Institutes of Health Research/Canada -- New York, N.Y. -- Science. 2010 May 21;328(5981):994-9. doi: 10.1126/science.1183605.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20489017" target="_blank"〉PubMed〈/a〉
    Keywords: Bacteria/classification/genetics ; Bacterial Proteins/chemistry/genetics ; Biodiversity ; Computational Biology ; Databases, Genetic ; Gastrointestinal Tract/microbiology ; Genes, Bacterial ; Genetic Variation ; Genome, Archaeal ; *Genome, Bacterial ; Humans ; Metagenome/*genetics ; Metagenomics/methods/standards ; Mouth/microbiology ; Peptides/chemistry/genetics ; Phylogeny ; Respiratory System/microbiology ; *Sequence Analysis, DNA/standards ; Skin/microbiology ; Urogenital System/microbiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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