Proteobacteria explain significant functional variability in the human gut microbiome
While human gut microbiomes vary significantly in taxonomic composition, biological pathway abundance is surprisingly invariable across hosts. We hypothesized that healthy microbiomes appear functionally redundant due to factors that obscure differences in gene abundance between individuals. To acco...
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description | While human gut microbiomes vary significantly in taxonomic composition, biological pathway abundance is surprisingly invariable across hosts. We hypothesized that healthy microbiomes appear functionally redundant due to factors that obscure differences in gene abundance between individuals.
To account for these biases, we developed a powerful test of gene variability called CCoDA, which is applicable to shotgun metagenomes from any environment and can integrate data from multiple studies. Our analysis of healthy human fecal metagenomes from three separate cohorts revealed thousands of genes whose abundance differs significantly and consistently between people, including glycolytic enzymes, lipopolysaccharide biosynthetic genes, and secretion systems. Even housekeeping pathways contain a mix of variable and invariable genes, though most highly conserved genes are significantly invariable. Variable genes tend to be associated with Proteobacteria, as opposed to taxa used to define enterotypes or the dominant phyla Bacteroidetes and Firmicutes.
These results establish limits on functional redundancy and predict specific genes and taxa that may explain physiological differences between gut microbiomes. |
doi_str_mv | 10.1186/s40168-017-0244-z |
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To account for these biases, we developed a powerful test of gene variability called CCoDA, which is applicable to shotgun metagenomes from any environment and can integrate data from multiple studies. Our analysis of healthy human fecal metagenomes from three separate cohorts revealed thousands of genes whose abundance differs significantly and consistently between people, including glycolytic enzymes, lipopolysaccharide biosynthetic genes, and secretion systems. Even housekeeping pathways contain a mix of variable and invariable genes, though most highly conserved genes are significantly invariable. Variable genes tend to be associated with Proteobacteria, as opposed to taxa used to define enterotypes or the dominant phyla Bacteroidetes and Firmicutes.
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To account for these biases, we developed a powerful test of gene variability called CCoDA, which is applicable to shotgun metagenomes from any environment and can integrate data from multiple studies. Our analysis of healthy human fecal metagenomes from three separate cohorts revealed thousands of genes whose abundance differs significantly and consistently between people, including glycolytic enzymes, lipopolysaccharide biosynthetic genes, and secretion systems. Even housekeeping pathways contain a mix of variable and invariable genes, though most highly conserved genes are significantly invariable. Variable genes tend to be associated with Proteobacteria, as opposed to taxa used to define enterotypes or the dominant phyla Bacteroidetes and Firmicutes.
These results establish limits on functional redundancy and predict specific genes and taxa that may explain physiological differences between gut microbiomes.</description><subject>Abundance</subject><subject>Bacteroidetes - genetics</subject><subject>Binomial distribution</subject><subject>Biodiversity</subject><subject>Bioinformatics</subject><subject>Digestive system</subject><subject>Enzymes</subject><subject>Feces - microbiology</subject><subject>Firmicutes - genetics</subject><subject>Gastrointestinal Microbiome - genetics</subject><subject>Gene expression</subject><subject>Genetic Variation - genetics</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Glycolysis</subject><subject>Humans</subject><subject>Intestinal microflora</subject><subject>Lipopolysaccharides</subject><subject>Metabolism</subject><subject>Metagenome - genetics</subject><subject>Methods</subject><subject>Microbiota</subject><subject>Models, Theoretical</subject><subject>Proteobacteria - genetics</subject><subject>Secretion</subject><subject>Studies</subject><issn>2049-2618</issn><issn>2049-2618</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpdkUFvFSEQx4mxsU3bD9CL2cSLl60DzLLsxcQ0ak2a6KE9E5aF92h24QlsY_vppb7aVLkMyfzmH5gfIWcUzimV4kNGoEK2QPsWGGL78IocMcChZYLK1y_uh-Q051uoZ6DYo3xDDpnkHDqQR-TmR4rFxlGbYpPXjf21m7UPTfab4J03OpTGrcEUH4OemztdodHPvtw3lSpb22zXRYdms5Zm8SbF0cfFnpADp-dsT5_qMbn58vn64rK9-v7128Wnq9bgwEvbcSaYdNOIvJuM6JgeYOxhACsQhemZRG0donQjtxM4Cr3RIJ3srR5cN_Fj8nGfu1vHxU7GhpL0rHbJLzrdq6i9-rcT_FZt4p3quOAAfQ14_xSQ4s_V5qIWn42dZx1sXLOiUgIKwVBW9N1_6G1cU13KHwq5RNp3laJ7qq4i52Td82MoqEdvau9NVW_q0Zt6qDNvX_7ieeKvJf4bbU2VTg</recordid><startdate>20170323</startdate><enddate>20170323</enddate><creator>Bradley, Patrick H</creator><creator>Pollard, Katherine S</creator><general>BioMed Central</general><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170323</creationdate><title>Proteobacteria explain significant functional variability in the human gut microbiome</title><author>Bradley, Patrick H ; Pollard, Katherine S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c493t-532628fdb435dc652a90b7090e6446c7284aef448fb3ed0f107ca08f87ea9f5d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Abundance</topic><topic>Bacteroidetes - genetics</topic><topic>Binomial distribution</topic><topic>Biodiversity</topic><topic>Bioinformatics</topic><topic>Digestive system</topic><topic>Enzymes</topic><topic>Feces - microbiology</topic><topic>Firmicutes - genetics</topic><topic>Gastrointestinal Microbiome - genetics</topic><topic>Gene expression</topic><topic>Genetic Variation - genetics</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Glycolysis</topic><topic>Humans</topic><topic>Intestinal microflora</topic><topic>Lipopolysaccharides</topic><topic>Metabolism</topic><topic>Metagenome - genetics</topic><topic>Methods</topic><topic>Microbiota</topic><topic>Models, Theoretical</topic><topic>Proteobacteria - genetics</topic><topic>Secretion</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bradley, Patrick H</creatorcontrib><creatorcontrib>Pollard, Katherine S</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Microbiome</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bradley, Patrick H</au><au>Pollard, Katherine S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Proteobacteria explain significant functional variability in the human gut microbiome</atitle><jtitle>Microbiome</jtitle><addtitle>Microbiome</addtitle><date>2017-03-23</date><risdate>2017</risdate><volume>5</volume><issue>1</issue><spage>36</spage><epage>36</epage><pages>36-36</pages><artnum>36</artnum><issn>2049-2618</issn><eissn>2049-2618</eissn><abstract>While human gut microbiomes vary significantly in taxonomic composition, biological pathway abundance is surprisingly invariable across hosts. We hypothesized that healthy microbiomes appear functionally redundant due to factors that obscure differences in gene abundance between individuals.
To account for these biases, we developed a powerful test of gene variability called CCoDA, which is applicable to shotgun metagenomes from any environment and can integrate data from multiple studies. Our analysis of healthy human fecal metagenomes from three separate cohorts revealed thousands of genes whose abundance differs significantly and consistently between people, including glycolytic enzymes, lipopolysaccharide biosynthetic genes, and secretion systems. Even housekeeping pathways contain a mix of variable and invariable genes, though most highly conserved genes are significantly invariable. Variable genes tend to be associated with Proteobacteria, as opposed to taxa used to define enterotypes or the dominant phyla Bacteroidetes and Firmicutes.
These results establish limits on functional redundancy and predict specific genes and taxa that may explain physiological differences between gut microbiomes.</abstract><cop>England</cop><pub>BioMed Central</pub><pmid>28330508</pmid><doi>10.1186/s40168-017-0244-z</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Abundance Bacteroidetes - genetics Binomial distribution Biodiversity Bioinformatics Digestive system Enzymes Feces - microbiology Firmicutes - genetics Gastrointestinal Microbiome - genetics Gene expression Genetic Variation - genetics Genomes Genomics Glycolysis Humans Intestinal microflora Lipopolysaccharides Metabolism Metagenome - genetics Methods Microbiota Models, Theoretical Proteobacteria - genetics Secretion Studies |
title | Proteobacteria explain significant functional variability in the human gut microbiome |
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