Microbial community structures in different wastewater treatment plants as revealed by 454-pyrosequencing analysis
► Sixteen wastewater treatment systems were investigated by 454-pyrosequencing. ► The structures of microbial communities in different samples were not the same. ► The Simpson’s diversity index and evenness index of MBR samples were the lowest. ► Treatment processes might have effects on the structu...
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| Veröffentlicht in: | Bioresource technology 2012-08, Vol.117, p.72-79 |
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| creator | Hu, Man Wang, Xiaohui Wen, Xianghua Xia, Yu |
| description | ► Sixteen wastewater treatment systems were investigated by 454-pyrosequencing. ► The structures of microbial communities in different samples were not the same. ► The Simpson’s diversity index and evenness index of MBR samples were the lowest. ► Treatment processes might have effects on the structure of microbial communities.
In this study, 454-pyrosequencing technology was employed to investigate the microbial communities in 12 municipal wastewater treatment plants (WWPTs) with different treatment processes. In total, 202,968 effective sequences of the 16S rRNA gene were generated from 16 samples that widely represented the diversity of the microbial communities. While Proteobacteria was found to be the dominant phylum in some samples, in other samples it was Bacteroidetes. The Simpson’s diversity index and evenness index were lowest in samples from membrane bioreactors (MBRs), possibly due to the long sludge retention time (SRT) and low food/microorganism ratio (F/M). For one WWTP which had two disparate treatment processes operating in parallel, the structures of microbial communities in the two systems were compared. The differences found between the two indicated that the treatment process likely had effects on the structure of microbial communities. |
| doi_str_mv | 10.1016/j.biortech.2012.04.061 |
| format | Article |
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In this study, 454-pyrosequencing technology was employed to investigate the microbial communities in 12 municipal wastewater treatment plants (WWPTs) with different treatment processes. In total, 202,968 effective sequences of the 16S rRNA gene were generated from 16 samples that widely represented the diversity of the microbial communities. While Proteobacteria was found to be the dominant phylum in some samples, in other samples it was Bacteroidetes. The Simpson’s diversity index and evenness index were lowest in samples from membrane bioreactors (MBRs), possibly due to the long sludge retention time (SRT) and low food/microorganism ratio (F/M). For one WWTP which had two disparate treatment processes operating in parallel, the structures of microbial communities in the two systems were compared. The differences found between the two indicated that the treatment process likely had effects on the structure of microbial communities.</description><identifier>ISSN: 0960-8524</identifier><identifier>EISSN: 1873-2976</identifier><identifier>DOI: 10.1016/j.biortech.2012.04.061</identifier><identifier>PMID: 22609716</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Activated sludge ; Aerobiosis ; Anaerobiosis ; Bacteria - genetics ; Bacteria - growth & development ; Bacteroidetes - genetics ; Bacteroidetes - growth & development ; Bioreactors ; Bioreactors - microbiology ; Communities ; Foods ; Genes ; Membranes, Artificial ; Microbial community ; Microorganisms ; Oxidation-Reduction ; Plants (organisms) ; Principal Component Analysis ; Proteobacteria ; Proteobacteria - genetics ; Pyrosequencing ; Sequence Analysis, DNA - methods ; Sludge ; Temperature ; Waste Disposal, Fluid ; Wastewater treatment ; Wastewater treatment plant ; Water Purification - methods</subject><ispartof>Bioresource technology, 2012-08, Vol.117, p.72-79</ispartof><rights>2012 Elsevier Ltd</rights><rights>Copyright © 2012 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c500t-242d0bec2dd4e5a7fb929d55e17eadda49eb419985f6388813d42f4d4e5ca6713</citedby><cites>FETCH-LOGICAL-c500t-242d0bec2dd4e5a7fb929d55e17eadda49eb419985f6388813d42f4d4e5ca6713</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0960852412006852$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22609716$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hu, Man</creatorcontrib><creatorcontrib>Wang, Xiaohui</creatorcontrib><creatorcontrib>Wen, Xianghua</creatorcontrib><creatorcontrib>Xia, Yu</creatorcontrib><title>Microbial community structures in different wastewater treatment plants as revealed by 454-pyrosequencing analysis</title><title>Bioresource technology</title><addtitle>Bioresour Technol</addtitle><description>► Sixteen wastewater treatment systems were investigated by 454-pyrosequencing. ► The structures of microbial communities in different samples were not the same. ► The Simpson’s diversity index and evenness index of MBR samples were the lowest. ► Treatment processes might have effects on the structure of microbial communities.
In this study, 454-pyrosequencing technology was employed to investigate the microbial communities in 12 municipal wastewater treatment plants (WWPTs) with different treatment processes. In total, 202,968 effective sequences of the 16S rRNA gene were generated from 16 samples that widely represented the diversity of the microbial communities. While Proteobacteria was found to be the dominant phylum in some samples, in other samples it was Bacteroidetes. The Simpson’s diversity index and evenness index were lowest in samples from membrane bioreactors (MBRs), possibly due to the long sludge retention time (SRT) and low food/microorganism ratio (F/M). For one WWTP which had two disparate treatment processes operating in parallel, the structures of microbial communities in the two systems were compared. The differences found between the two indicated that the treatment process likely had effects on the structure of microbial communities.</description><subject>Activated sludge</subject><subject>Aerobiosis</subject><subject>Anaerobiosis</subject><subject>Bacteria - genetics</subject><subject>Bacteria - growth & development</subject><subject>Bacteroidetes - genetics</subject><subject>Bacteroidetes - growth & development</subject><subject>Bioreactors</subject><subject>Bioreactors - microbiology</subject><subject>Communities</subject><subject>Foods</subject><subject>Genes</subject><subject>Membranes, Artificial</subject><subject>Microbial community</subject><subject>Microorganisms</subject><subject>Oxidation-Reduction</subject><subject>Plants (organisms)</subject><subject>Principal Component Analysis</subject><subject>Proteobacteria</subject><subject>Proteobacteria - genetics</subject><subject>Pyrosequencing</subject><subject>Sequence Analysis, DNA - methods</subject><subject>Sludge</subject><subject>Temperature</subject><subject>Waste Disposal, Fluid</subject><subject>Wastewater treatment</subject><subject>Wastewater treatment plant</subject><subject>Water Purification - methods</subject><issn>0960-8524</issn><issn>1873-2976</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUtv1DAURi1ERYfCX6i8ZJPgt-MdqKItUhEbWFuOfQMe5THYTqv8-3o0LdtZXenq3Ie-g9A1JS0lVH3et31cUgH_t2WEspaIlij6Bu1op3nDjFZv0Y4YRZpOMnGJ3ue8J4Rwqtk7dMmYIkZTtUPpR_Rp6aMbsV-maZ1j2XAuafVlTZBxnHGIwwAJ5oKfXC7w5AokXBK4Mh2bh9HNJWOXcYJHcCME3G9YSNEctrRk-LfC7OP8B7vZjVuO-QO6GNyY4eNLvUK_b7_9urlvHn7efb_5-tB4SUhpmGCB9OBZCAKk00NvmAlSAtXgQnDCQC-oMZ0cFO-6jvIg2CCOsHdKU36FPp32HtJSn8jFTjF7GOu_sKzZ0goJLpWW51HCO0U6Xet5tPowlHNWUXVCa8I5JxjsIcXJpa1C9mjR7u2rRXu0aImw1WIdvH65sfYThP9jr9oq8OUEQM3vMUKy2ccaM4SYwBcblnjuxjMMLbNQ</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>Hu, Man</creator><creator>Wang, Xiaohui</creator><creator>Wen, Xianghua</creator><creator>Xia, Yu</creator><general>Elsevier Ltd</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>7X8</scope><scope>7QO</scope><scope>7ST</scope><scope>7T7</scope><scope>7TV</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>SOI</scope><scope>7SU</scope><scope>7TB</scope><scope>KR7</scope></search><sort><creationdate>201208</creationdate><title>Microbial community structures in different wastewater treatment plants as revealed by 454-pyrosequencing analysis</title><author>Hu, Man ; Wang, Xiaohui ; Wen, Xianghua ; Xia, Yu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c500t-242d0bec2dd4e5a7fb929d55e17eadda49eb419985f6388813d42f4d4e5ca6713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Activated sludge</topic><topic>Aerobiosis</topic><topic>Anaerobiosis</topic><topic>Bacteria - genetics</topic><topic>Bacteria - growth & development</topic><topic>Bacteroidetes - genetics</topic><topic>Bacteroidetes - growth & development</topic><topic>Bioreactors</topic><topic>Bioreactors - microbiology</topic><topic>Communities</topic><topic>Foods</topic><topic>Genes</topic><topic>Membranes, Artificial</topic><topic>Microbial community</topic><topic>Microorganisms</topic><topic>Oxidation-Reduction</topic><topic>Plants (organisms)</topic><topic>Principal Component Analysis</topic><topic>Proteobacteria</topic><topic>Proteobacteria - genetics</topic><topic>Pyrosequencing</topic><topic>Sequence Analysis, DNA - methods</topic><topic>Sludge</topic><topic>Temperature</topic><topic>Waste Disposal, Fluid</topic><topic>Wastewater treatment</topic><topic>Wastewater treatment plant</topic><topic>Water Purification - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, Man</creatorcontrib><creatorcontrib>Wang, Xiaohui</creatorcontrib><creatorcontrib>Wen, Xianghua</creatorcontrib><creatorcontrib>Xia, Yu</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Pollution Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Civil Engineering Abstracts</collection><jtitle>Bioresource technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hu, Man</au><au>Wang, Xiaohui</au><au>Wen, Xianghua</au><au>Xia, Yu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Microbial community structures in different wastewater treatment plants as revealed by 454-pyrosequencing analysis</atitle><jtitle>Bioresource technology</jtitle><addtitle>Bioresour Technol</addtitle><date>2012-08</date><risdate>2012</risdate><volume>117</volume><spage>72</spage><epage>79</epage><pages>72-79</pages><issn>0960-8524</issn><eissn>1873-2976</eissn><abstract>► Sixteen wastewater treatment systems were investigated by 454-pyrosequencing. ► The structures of microbial communities in different samples were not the same. ► The Simpson’s diversity index and evenness index of MBR samples were the lowest. ► Treatment processes might have effects on the structure of microbial communities.
In this study, 454-pyrosequencing technology was employed to investigate the microbial communities in 12 municipal wastewater treatment plants (WWPTs) with different treatment processes. In total, 202,968 effective sequences of the 16S rRNA gene were generated from 16 samples that widely represented the diversity of the microbial communities. While Proteobacteria was found to be the dominant phylum in some samples, in other samples it was Bacteroidetes. The Simpson’s diversity index and evenness index were lowest in samples from membrane bioreactors (MBRs), possibly due to the long sludge retention time (SRT) and low food/microorganism ratio (F/M). For one WWTP which had two disparate treatment processes operating in parallel, the structures of microbial communities in the two systems were compared. The differences found between the two indicated that the treatment process likely had effects on the structure of microbial communities.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>22609716</pmid><doi>10.1016/j.biortech.2012.04.061</doi><tpages>8</tpages></addata></record> |
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| subjects | Activated sludge Aerobiosis Anaerobiosis Bacteria - genetics Bacteria - growth & development Bacteroidetes - genetics Bacteroidetes - growth & development Bioreactors Bioreactors - microbiology Communities Foods Genes Membranes, Artificial Microbial community Microorganisms Oxidation-Reduction Plants (organisms) Principal Component Analysis Proteobacteria Proteobacteria - genetics Pyrosequencing Sequence Analysis, DNA - methods Sludge Temperature Waste Disposal, Fluid Wastewater treatment Wastewater treatment plant Water Purification - methods |
| title | Microbial community structures in different wastewater treatment plants as revealed by 454-pyrosequencing analysis |
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