Metagenomic Analyses of Drinking Water Receiving Different Disinfection Treatments
Identifieur interne : 000348 ( Pmc/Corpus ); précédent : 000347; suivant : 000349Metagenomic Analyses of Drinking Water Receiving Different Disinfection Treatments
Auteurs : Vicente Gomez-Alvarez ; Randy P. Revetta ; Jorge W. Santo DomingoSource :
- Applied and Environmental Microbiology [ 0099-2240 ] ; 2012.
Abstract
A metagenome-based approach was used to assess the taxonomic affiliation and function potential of microbial populations in free-chlorine-treated (CHL) and monochloramine-treated (CHM) drinking water (DW). In all, 362,640 (averaging 544 bp) and 155,593 (averaging 554 bp) pyrosequencing reads were analyzed for the CHL and CHM samples, respectively. Most annotated proteins were found to be of bacterial origin, although eukaryotic, archaeal, and viral proteins were also identified. Differences in community structure and function were noted. Most notably,
Url:
DOI: 10.1128/AEM.01018-12
PubMed: 22729545
PubMed Central: 3416622
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PMC:3416622Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Metagenomic Analyses of Drinking Water Receiving Different Disinfection Treatments</title><author><name sortKey="Gomez Alvarez, Vicente" sort="Gomez Alvarez, Vicente" uniqKey="Gomez Alvarez V" first="Vicente" last="Gomez-Alvarez">Vicente Gomez-Alvarez</name></author><author><name sortKey="Revetta, Randy P" sort="Revetta, Randy P" uniqKey="Revetta R" first="Randy P." last="Revetta">Randy P. Revetta</name></author><author><name sortKey="Santo Domingo, Jorge W" sort="Santo Domingo, Jorge W" uniqKey="Santo Domingo J" first="Jorge W." last="Santo Domingo">Jorge W. Santo Domingo</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">22729545</idno><idno type="pmc">3416622</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3416622</idno><idno type="RBID">PMC:3416622</idno><idno type="doi">10.1128/AEM.01018-12</idno><date when="2012">2012</date><idno type="wicri:Area/Pmc/Corpus">000348</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Metagenomic Analyses of Drinking Water Receiving Different Disinfection Treatments</title><author><name sortKey="Gomez Alvarez, Vicente" sort="Gomez Alvarez, Vicente" uniqKey="Gomez Alvarez V" first="Vicente" last="Gomez-Alvarez">Vicente Gomez-Alvarez</name></author><author><name sortKey="Revetta, Randy P" sort="Revetta, Randy P" uniqKey="Revetta R" first="Randy P." last="Revetta">Randy P. Revetta</name></author><author><name sortKey="Santo Domingo, Jorge W" sort="Santo Domingo, Jorge W" uniqKey="Santo Domingo J" first="Jorge W." last="Santo Domingo">Jorge W. Santo Domingo</name></author></analytic><series><title level="j">Applied and Environmental Microbiology</title><idno type="ISSN">0099-2240</idno><idno type="eISSN">1098-5336</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>A metagenome-based approach was used to assess the taxonomic affiliation and function potential of microbial populations in free-chlorine-treated (CHL) and monochloramine-treated (CHM) drinking water (DW). In all, 362,640 (averaging 544 bp) and 155,593 (averaging 554 bp) pyrosequencing reads were analyzed for the CHL and CHM samples, respectively. Most annotated proteins were found to be of bacterial origin, although eukaryotic, archaeal, and viral proteins were also identified. Differences in community structure and function were noted. Most notably, <named-content content-type="genus-species">Legionella</named-content>-like genes were more abundant in the CHL samples while mycobacterial genes were more abundant in CHM samples. Genes associated with multiple disinfectant mechanisms were identified in both communities. Moreover, sequences linked to virulence factors, such as antibiotic resistance mechanisms, were observed in both microbial communities. This study provides new insights into the genetic network and potential biological processes associated with the molecular microbial ecology of DW microbial communities.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Appl Environ Microbiol</journal-id><journal-id journal-id-type="iso-abbrev">Appl. Environ. Microbiol</journal-id><journal-id journal-id-type="hwp">aem</journal-id><journal-id journal-id-type="pmc">aem</journal-id><journal-id journal-id-type="publisher-id">AEM</journal-id><journal-title-group><journal-title>Applied and Environmental Microbiology</journal-title></journal-title-group><issn pub-type="ppub">0099-2240</issn><issn pub-type="epub">1098-5336</issn><publisher><publisher-name>American Society for Microbiology</publisher-name><publisher-loc>1752 N St., N.W., Washington, DC</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">22729545</article-id><article-id pub-id-type="pmc">3416622</article-id><article-id pub-id-type="publisher-id">01018-12</article-id><article-id pub-id-type="doi">10.1128/AEM.01018-12</article-id><article-categories><subj-group subj-group-type="heading"><subject>Public Health Microbiology</subject></subj-group></article-categories><title-group><article-title>Metagenomic Analyses of Drinking Water Receiving Different Disinfection Treatments</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Gomez-Alvarez</surname><given-names>Vicente</given-names></name></contrib><contrib contrib-type="author"><name><surname>Revetta</surname><given-names>Randy P.</given-names></name></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Santo Domingo</surname><given-names>Jorge W.</given-names></name></contrib><aff>U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, Ohio, USA</aff></contrib-group><author-notes><corresp>Address correspondence to Jorge W. Santo Domingo, <email>santodomingo.jorge@epa.gov</email>.</corresp></author-notes><pub-date pub-type="ppub"><month>9</month><year>2012</year></pub-date><volume>78</volume><issue>17</issue><fpage>6095</fpage><lpage>6102</lpage><history><date date-type="received"><day>28</day><month>3</month><year>2012</year></date><date date-type="accepted"><day>16</day><month>6</month><year>2012</year></date></history><permissions><copyright-statement>Copyright © 2012, American Society for Microbiology. All Rights Reserved.</copyright-statement><copyright-year>2012</copyright-year><copyright-holder>American Society for Microbiology</copyright-holder></permissions><self-uri xlink:title="pdf" xlink:type="simple" xlink:href="zam01712006095.pdf"></self-uri><abstract><p>A metagenome-based approach was used to assess the taxonomic affiliation and function potential of microbial populations in free-chlorine-treated (CHL) and monochloramine-treated (CHM) drinking water (DW). In all, 362,640 (averaging 544 bp) and 155,593 (averaging 554 bp) pyrosequencing reads were analyzed for the CHL and CHM samples, respectively. Most annotated proteins were found to be of bacterial origin, although eukaryotic, archaeal, and viral proteins were also identified. Differences in community structure and function were noted. Most notably, <named-content content-type="genus-species">Legionella</named-content>-like genes were more abundant in the CHL samples while mycobacterial genes were more abundant in CHM samples. Genes associated with multiple disinfectant mechanisms were identified in both communities. Moreover, sequences linked to virulence factors, such as antibiotic resistance mechanisms, were observed in both microbial communities. This study provides new insights into the genetic network and potential biological processes associated with the molecular microbial ecology of DW microbial communities.</p></abstract></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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