Bacterial communities of Beijing surface waters as revealed by 454 pyrosequencing of the 16S rRNA gene
As a better understanding of Beijing surface water ecosystems can provide clues for environmental management and public health, here, we report a study of the bacterial communities of five Beijing surface waters conducted using 454 pyrosequencing of 16S ribosomal RNA (rRNA) genes. We expected to obs...
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| Veröffentlicht in: | Environmental science and pollution research international 2015-08, Vol.22 (16), p.12605-12614 |
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| creator | Wei, Yu-Mei Wang, Jing-Qi Liu, Ting-Ting Kong, Wei-Wen Chen, Nan He, Xiao-Qing Jin, Yi |
| description | As a better understanding of Beijing surface water ecosystems can provide clues for environmental management and public health, here, we report a study of the bacterial communities of five Beijing surface waters conducted using 454 pyrosequencing of 16S ribosomal RNA (rRNA) genes. We expected to observe a core bacterial community among the surface waters and differences in bacterial community abundance over the different locations of sampling. In this study, we obtained a total of 60,810 trimmed reads from the five samples after the removal of unqualified reads. Bacterial sequences from the five samples were classified into taxonomic classes using the default settings of the mothur platform. Our results provided insight into the bacterial community composition of surface waters and revealed that there was a core microbial community in the microbial populations of surface samples at different geographic locations, with 13 phyla and 40 genera in common. Our findings also revealed the differences in bacterial communities among five surface water samples obtained at different locations. |
| doi_str_mv | 10.1007/s11356-015-4534-3 |
| format | Article |
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We expected to observe a core bacterial community among the surface waters and differences in bacterial community abundance over the different locations of sampling. In this study, we obtained a total of 60,810 trimmed reads from the five samples after the removal of unqualified reads. Bacterial sequences from the five samples were classified into taxonomic classes using the default settings of the mothur platform. Our results provided insight into the bacterial community composition of surface waters and revealed that there was a core microbial community in the microbial populations of surface samples at different geographic locations, with 13 phyla and 40 genera in common. Our findings also revealed the differences in bacterial communities among five surface water samples obtained at different locations.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-015-4534-3</identifier><identifier>PMID: 25911286</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquatic Pollution ; Atmospheric Protection/Air Quality Control/Air Pollution ; Bacteria ; Bacteria - genetics ; Base Sequence ; Beijing ; Community composition ; Deoxyribonucleic acid ; DNA ; Earth and Environmental Science ; Ecosystem management ; Ecosystems ; Ecotoxicology ; Effluents ; Environment ; Environmental Chemistry ; Environmental Health ; Environmental management ; Fresh Water - microbiology ; Genera ; Geography ; Laboratories ; Microbiota ; Molecular Sequence Data ; Public health ; Research Article ; RNA, Ribosomal, 16S - genetics ; rRNA 16S ; Sequence Analysis, DNA ; Sludge ; Surface water ; Waste Water Technology ; Water analysis ; Water Management ; Water Pollution Control ; Water sampling</subject><ispartof>Environmental science and pollution research international, 2015-08, Vol.22 (16), p.12605-12614</ispartof><rights>Springer-Verlag Berlin Heidelberg 2015</rights><rights>Environmental Science and Pollution Research is a copyright of Springer, 2015.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c621t-ced778609a0ba8164167a6dd066539cc4168f0173253ff1ccc7a2c9fd769c7a43</citedby><cites>FETCH-LOGICAL-c621t-ced778609a0ba8164167a6dd066539cc4168f0173253ff1ccc7a2c9fd769c7a43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11356-015-4534-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11356-015-4534-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25911286$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wei, Yu-Mei</creatorcontrib><creatorcontrib>Wang, Jing-Qi</creatorcontrib><creatorcontrib>Liu, Ting-Ting</creatorcontrib><creatorcontrib>Kong, Wei-Wen</creatorcontrib><creatorcontrib>Chen, Nan</creatorcontrib><creatorcontrib>He, Xiao-Qing</creatorcontrib><creatorcontrib>Jin, Yi</creatorcontrib><title>Bacterial communities of Beijing surface waters as revealed by 454 pyrosequencing of the 16S rRNA gene</title><title>Environmental science and pollution research international</title><addtitle>Environ Sci Pollut Res</addtitle><addtitle>Environ Sci Pollut Res Int</addtitle><description>As a better understanding of Beijing surface water ecosystems can provide clues for environmental management and public health, here, we report a study of the bacterial communities of five Beijing surface waters conducted using 454 pyrosequencing of 16S ribosomal RNA (rRNA) genes. We expected to observe a core bacterial community among the surface waters and differences in bacterial community abundance over the different locations of sampling. In this study, we obtained a total of 60,810 trimmed reads from the five samples after the removal of unqualified reads. Bacterial sequences from the five samples were classified into taxonomic classes using the default settings of the mothur platform. Our results provided insight into the bacterial community composition of surface waters and revealed that there was a core microbial community in the microbial populations of surface samples at different geographic locations, with 13 phyla and 40 genera in common. Our findings also revealed the differences in bacterial communities among five surface water samples obtained at different locations.</description><subject>Aquatic Pollution</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Bacteria</subject><subject>Bacteria - genetics</subject><subject>Base Sequence</subject><subject>Beijing</subject><subject>Community composition</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>Earth and Environmental Science</subject><subject>Ecosystem management</subject><subject>Ecosystems</subject><subject>Ecotoxicology</subject><subject>Effluents</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Health</subject><subject>Environmental management</subject><subject>Fresh Water - microbiology</subject><subject>Genera</subject><subject>Geography</subject><subject>Laboratories</subject><subject>Microbiota</subject><subject>Molecular Sequence 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Int</addtitle><date>2015-08-01</date><risdate>2015</risdate><volume>22</volume><issue>16</issue><spage>12605</spage><epage>12614</epage><pages>12605-12614</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>As a better understanding of Beijing surface water ecosystems can provide clues for environmental management and public health, here, we report a study of the bacterial communities of five Beijing surface waters conducted using 454 pyrosequencing of 16S ribosomal RNA (rRNA) genes. We expected to observe a core bacterial community among the surface waters and differences in bacterial community abundance over the different locations of sampling. In this study, we obtained a total of 60,810 trimmed reads from the five samples after the removal of unqualified reads. Bacterial sequences from the five samples were classified into taxonomic classes using the default settings of the mothur platform. Our results provided insight into the bacterial community composition of surface waters and revealed that there was a core microbial community in the microbial populations of surface samples at different geographic locations, with 13 phyla and 40 genera in common. Our findings also revealed the differences in bacterial communities among five surface water samples obtained at different locations.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>25911286</pmid><doi>10.1007/s11356-015-4534-3</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Bacteria Bacteria - genetics Base Sequence Beijing Community composition Deoxyribonucleic acid DNA Earth and Environmental Science Ecosystem management Ecosystems Ecotoxicology Effluents Environment Environmental Chemistry Environmental Health Environmental management Fresh Water - microbiology Genera Geography Laboratories Microbiota Molecular Sequence Data Public health Research Article RNA, Ribosomal, 16S - genetics rRNA 16S Sequence Analysis, DNA Sludge Surface water Waste Water Technology Water analysis Water Management Water Pollution Control Water sampling |
| title | Bacterial communities of Beijing surface waters as revealed by 454 pyrosequencing of the 16S rRNA gene |
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