Matching phylogeny and metabolism in the uncultured marine bacteria, one cell at a time
The identification of predominant microbial taxa with specific metabolic capabilities remains one the biggest challenges in environmental microbiology, because of the limits of current metagenomic and cell culturing methods. We report results from the direct analysis of multiple genes in individual...
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Veröffentlicht in: | Proceedings of the National Academy of Sciences - PNAS 2007-05, Vol.104 (21), p.9052-9057 |
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description | The identification of predominant microbial taxa with specific metabolic capabilities remains one the biggest challenges in environmental microbiology, because of the limits of current metagenomic and cell culturing methods. We report results from the direct analysis of multiple genes in individual marine bacteria cells, demonstrating the potential for high-throughput metabolic assignment of yet-uncultured taxa. The protocol uses high-speed fluorescence-activated cell sorting, whole-genome multiple displacement amplification (MDA), and subsequent PCR screening. A pilot library of 11 single amplified genomes (SAGs) was constructed from Gulf of Maine bacterioplankton as proof of concept. The library consisted of five flavobacteria, one sphingobacterium, four alphaproteobacteria, and one gammaproteobacterium. Most of the SAGs, apart from alphaproteobacteria, were phylogenetically distant from existing isolates, with 88-97% identity in the 16S rRNA gene sequence. Thus, single-cell MDA provided access to the genomic material of numerically dominant but yet-uncultured taxonomic groups. Two of five flavobacteria in the SAG library contained proteorhodopsin genes, suggesting that flavobacteria are among the major carriers of this photometabolic system. The pufM and nasA genes were detected in some 100-cell MDA products but not in SAGs, demonstrating that organisms containing bacteriochlorophyll and assimilative nitrate reductase constituted |
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We report results from the direct analysis of multiple genes in individual marine bacteria cells, demonstrating the potential for high-throughput metabolic assignment of yet-uncultured taxa. The protocol uses high-speed fluorescence-activated cell sorting, whole-genome multiple displacement amplification (MDA), and subsequent PCR screening. A pilot library of 11 single amplified genomes (SAGs) was constructed from Gulf of Maine bacterioplankton as proof of concept. The library consisted of five flavobacteria, one sphingobacterium, four alphaproteobacteria, and one gammaproteobacterium. Most of the SAGs, apart from alphaproteobacteria, were phylogenetically distant from existing isolates, with 88-97% identity in the 16S rRNA gene sequence. Thus, single-cell MDA provided access to the genomic material of numerically dominant but yet-uncultured taxonomic groups. Two of five flavobacteria in the SAG library contained proteorhodopsin genes, suggesting that flavobacteria are among the major carriers of this photometabolic system. The pufM and nasA genes were detected in some 100-cell MDA products but not in SAGs, demonstrating that organisms containing bacteriochlorophyll and assimilative nitrate reductase constituted <1% of the sampled bacterioplankton. Compared with metagenomics, the power of our approach lies in the ability to detect metabolic genes in uncultured microorganisms directly, even when the metabolic and phylogenetic markers are located far apart on the chromosome.</description><identifier>ISSN: 0027-8424</identifier><identifier>EISSN: 1091-6490</identifier><identifier>DOI: 10.1073/pnas.0700496104</identifier><identifier>PMID: 17502618</identifier><language>eng</language><publisher>United States: National Academy of Sciences</publisher><subject>Aquatic plants ; Bacteria ; Bacteria - classification ; Bacteria - cytology ; Bacteria - genetics ; Bacteria - metabolism ; Bacterial Proteins - genetics ; Bacteriology ; Bacterioplankton ; Biological Sciences ; Earth Sciences ; Flavobacteria ; Gene Amplification ; Gene Library ; Genes ; Genes, Bacterial - genetics ; Genome, Bacterial - genetics ; Genomes ; Genomics ; Libraries ; Marine ; Marine Biology ; Metabolism ; Molecular Sequence Data ; Oceanography ; Photosynthetic Reaction Center Complex Proteins - genetics ; Phylogeny ; Polymerase chain reaction ; Product category rules ; Prokaryotic cells ; Rhodopsins, Microbial - genetics ; RNA, Ribosomal - genetics ; Roseobacter ; rRNA genes ; Sciences of the Universe ; Seawater - microbiology ; Sequencing ; Sphingobacterium ; Taxonomy ; Time Factors</subject><ispartof>Proceedings of the National Academy of Sciences - PNAS, 2007-05, Vol.104 (21), p.9052-9057</ispartof><rights>Copyright 2007 The National Academy of Sciences of the United States of America</rights><rights>Copyright National Academy of Sciences May 22, 2007</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>2007 by The National Academy of Sciences of the USA 2007</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c652t-2bb696ee7a966b3f084de8e3b483de8d4246dffb726616408d5d931282fba6233</citedby><cites>FETCH-LOGICAL-c652t-2bb696ee7a966b3f084de8e3b483de8d4246dffb726616408d5d931282fba6233</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.pnas.org/content/104/21.cover.gif</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/25427797$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/25427797$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,727,780,784,803,885,27924,27925,53791,53793,58017,58250</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17502618$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01663343$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Stepanauskas, Ramunas</creatorcontrib><creatorcontrib>Sieracki, Michael E</creatorcontrib><title>Matching phylogeny and metabolism in the uncultured marine bacteria, one cell at a time</title><title>Proceedings of the National Academy of Sciences - PNAS</title><addtitle>Proc Natl Acad Sci U S A</addtitle><description>The identification of predominant microbial taxa with specific metabolic capabilities remains one the biggest challenges in environmental microbiology, because of the limits of current metagenomic and cell culturing methods. We report results from the direct analysis of multiple genes in individual marine bacteria cells, demonstrating the potential for high-throughput metabolic assignment of yet-uncultured taxa. The protocol uses high-speed fluorescence-activated cell sorting, whole-genome multiple displacement amplification (MDA), and subsequent PCR screening. A pilot library of 11 single amplified genomes (SAGs) was constructed from Gulf of Maine bacterioplankton as proof of concept. The library consisted of five flavobacteria, one sphingobacterium, four alphaproteobacteria, and one gammaproteobacterium. Most of the SAGs, apart from alphaproteobacteria, were phylogenetically distant from existing isolates, with 88-97% identity in the 16S rRNA gene sequence. Thus, single-cell MDA provided access to the genomic material of numerically dominant but yet-uncultured taxonomic groups. Two of five flavobacteria in the SAG library contained proteorhodopsin genes, suggesting that flavobacteria are among the major carriers of this photometabolic system. The pufM and nasA genes were detected in some 100-cell MDA products but not in SAGs, demonstrating that organisms containing bacteriochlorophyll and assimilative nitrate reductase constituted <1% of the sampled bacterioplankton. Compared with metagenomics, the power of our approach lies in the ability to detect metabolic genes in uncultured microorganisms directly, even when the metabolic and phylogenetic markers are located far apart on the chromosome.</description><subject>Aquatic plants</subject><subject>Bacteria</subject><subject>Bacteria - classification</subject><subject>Bacteria - cytology</subject><subject>Bacteria - genetics</subject><subject>Bacteria - metabolism</subject><subject>Bacterial Proteins - genetics</subject><subject>Bacteriology</subject><subject>Bacterioplankton</subject><subject>Biological Sciences</subject><subject>Earth Sciences</subject><subject>Flavobacteria</subject><subject>Gene Amplification</subject><subject>Gene Library</subject><subject>Genes</subject><subject>Genes, Bacterial - genetics</subject><subject>Genome, Bacterial - genetics</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Libraries</subject><subject>Marine</subject><subject>Marine Biology</subject><subject>Metabolism</subject><subject>Molecular Sequence Data</subject><subject>Oceanography</subject><subject>Photosynthetic Reaction Center Complex Proteins - genetics</subject><subject>Phylogeny</subject><subject>Polymerase chain reaction</subject><subject>Product category rules</subject><subject>Prokaryotic cells</subject><subject>Rhodopsins, Microbial - genetics</subject><subject>RNA, Ribosomal - genetics</subject><subject>Roseobacter</subject><subject>rRNA genes</subject><subject>Sciences of the Universe</subject><subject>Seawater - microbiology</subject><subject>Sequencing</subject><subject>Sphingobacterium</subject><subject>Taxonomy</subject><subject>Time Factors</subject><issn>0027-8424</issn><issn>1091-6490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUuP0zAUhSMEYsrAmhVgsUAgkZnrR2xngzQaAYNUxAJGLC0ncRpXqV1sZ0T_PY5atTALVn5999x7fIriOYYLDIJebp2OFyAAWM0xsAfFAkONS85qeFgsAIgoJSPsrHgS4xoA6krC4-IMiwoIx3JR_PyqUztYt0LbYTf6lXE7pF2HNibpxo82bpB1KA0GTa6dxjQFkx91sM6gRrfJBKvfI59PrRlHpBPSKNmNeVo86vUYzbPDel7cfvr44_qmXH77_OX6alm2vCKpJE3Da26M0DXnDe1Bss5IQxsmad50eXbe9X0jCOeYM5Bd1dUUE0n6RnNC6XnxYa-7nZqN6VrjUtCj2gabh9wpr63698XZQa38ncJSVpzwLPBuLzDcK7u5Wqr5DjDnlDJ6hzP75tAs-F-TiUltbJx9a2f8FBXOJhiXdQZf3wPXfgouf4QigGktKJvVLvdQG3yMwfTH9hjUnK6a01WndHPFy7_NnvhDnBl4ewDmypMcUwSrGiqi-mkck_mdMvrq_2gmXuyJdUw-HBFSMSJEtnBU6LVXehVsVLffZ3sAQgioKvoHB_PKvg</recordid><startdate>20070522</startdate><enddate>20070522</enddate><creator>Stepanauskas, Ramunas</creator><creator>Sieracki, Michael E</creator><general>National Academy of Sciences</general><general>National Acad Sciences</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7T7</scope><scope>7TN</scope><scope>F1W</scope><scope>H95</scope><scope>H99</scope><scope>L.F</scope><scope>L.G</scope><scope>1XC</scope><scope>5PM</scope></search><sort><creationdate>20070522</creationdate><title>Matching phylogeny and metabolism in the uncultured marine bacteria, one cell at a time</title><author>Stepanauskas, Ramunas ; 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We report results from the direct analysis of multiple genes in individual marine bacteria cells, demonstrating the potential for high-throughput metabolic assignment of yet-uncultured taxa. The protocol uses high-speed fluorescence-activated cell sorting, whole-genome multiple displacement amplification (MDA), and subsequent PCR screening. A pilot library of 11 single amplified genomes (SAGs) was constructed from Gulf of Maine bacterioplankton as proof of concept. The library consisted of five flavobacteria, one sphingobacterium, four alphaproteobacteria, and one gammaproteobacterium. Most of the SAGs, apart from alphaproteobacteria, were phylogenetically distant from existing isolates, with 88-97% identity in the 16S rRNA gene sequence. Thus, single-cell MDA provided access to the genomic material of numerically dominant but yet-uncultured taxonomic groups. Two of five flavobacteria in the SAG library contained proteorhodopsin genes, suggesting that flavobacteria are among the major carriers of this photometabolic system. The pufM and nasA genes were detected in some 100-cell MDA products but not in SAGs, demonstrating that organisms containing bacteriochlorophyll and assimilative nitrate reductase constituted <1% of the sampled bacterioplankton. Compared with metagenomics, the power of our approach lies in the ability to detect metabolic genes in uncultured microorganisms directly, even when the metabolic and phylogenetic markers are located far apart on the chromosome.</abstract><cop>United States</cop><pub>National Academy of Sciences</pub><pmid>17502618</pmid><doi>10.1073/pnas.0700496104</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aquatic plants Bacteria Bacteria - classification Bacteria - cytology Bacteria - genetics Bacteria - metabolism Bacterial Proteins - genetics Bacteriology Bacterioplankton Biological Sciences Earth Sciences Flavobacteria Gene Amplification Gene Library Genes Genes, Bacterial - genetics Genome, Bacterial - genetics Genomes Genomics Libraries Marine Marine Biology Metabolism Molecular Sequence Data Oceanography Photosynthetic Reaction Center Complex Proteins - genetics Phylogeny Polymerase chain reaction Product category rules Prokaryotic cells Rhodopsins, Microbial - genetics RNA, Ribosomal - genetics Roseobacter rRNA genes Sciences of the Universe Seawater - microbiology Sequencing Sphingobacterium Taxonomy Time Factors |
title | Matching phylogeny and metabolism in the uncultured marine bacteria, one cell at a time |
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