Quantitative response of nitrifying and denitrifying communities to environmental variables in a full-scale membrane bioreactor
•A full-scale MBR treating urban wastewater was operated for nine months.•Gene markers specific of AOB, NOB and denitrifiers were quantified by qPCR.•Both abundance (DNA) and transcription level (cDNA) of gene markers were analyzed.•MDS was used to link population abundances to changes in operation...
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creator | Gómez-Silván, C. Vílchez-Vargas, R. Arévalo, J. Gómez, M.A. González-López, J. Pieper, D.H. Rodelas, B. |
description | •A full-scale MBR treating urban wastewater was operated for nine months.•Gene markers specific of AOB, NOB and denitrifiers were quantified by qPCR.•Both abundance (DNA) and transcription level (cDNA) of gene markers were analyzed.•MDS was used to link population abundances to changes in operation parameters.•N-cycle bacterial groups showed varying trends of response to operation parameters.
The abundance and transcription levels of specific gene markers of total bacteria, ammonia-oxidizing Betaproteobacteria, nitrite-oxidizing bacteria (Nitrospira-like) and denitrifiers (N2O-reducers) were analyzed using quantitative PCR (qPCR) and reverse-transcription qPCR during 9months in a full-scale membrane bioreactor treating urban wastewater. A stable community of N-removal key players was developed; however, the abundance of active populations experienced sharper shifts, demonstrating their fast adaptation to changing conditions. Despite constituting a small percentage of the total bacterial community, the larger abundances of active populations of nitrifiers explained the high N-removal accomplished by the MBR. Multivariate analyses revealed that temperature, accumulation of volatile suspended solids in the sludge, BOD5, NH4+ concentration and C/N ratio of the wastewater contributed significantly (23–38%) to explain changes in the abundance of nitrifiers and denitrifiers. However, each targeted group showed different responses to shifts in these parameters, evidencing the complexity of the balance among them for successful biological N-removal. |
doi_str_mv | 10.1016/j.biortech.2014.06.089 |
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The abundance and transcription levels of specific gene markers of total bacteria, ammonia-oxidizing Betaproteobacteria, nitrite-oxidizing bacteria (Nitrospira-like) and denitrifiers (N2O-reducers) were analyzed using quantitative PCR (qPCR) and reverse-transcription qPCR during 9months in a full-scale membrane bioreactor treating urban wastewater. A stable community of N-removal key players was developed; however, the abundance of active populations experienced sharper shifts, demonstrating their fast adaptation to changing conditions. Despite constituting a small percentage of the total bacterial community, the larger abundances of active populations of nitrifiers explained the high N-removal accomplished by the MBR. Multivariate analyses revealed that temperature, accumulation of volatile suspended solids in the sludge, BOD5, NH4+ concentration and C/N ratio of the wastewater contributed significantly (23–38%) to explain changes in the abundance of nitrifiers and denitrifiers. However, each targeted group showed different responses to shifts in these parameters, evidencing the complexity of the balance among them for successful biological N-removal.</description><identifier>ISSN: 0960-8524</identifier><identifier>EISSN: 1873-2976</identifier><identifier>DOI: 10.1016/j.biortech.2014.06.089</identifier><identifier>PMID: 25043345</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>AOB ; Applied sciences ; Bacteria - genetics ; Biodegradation, Environmental ; Biological and medical sciences ; Bioreactors ; Bioreactors - microbiology ; Biotechnology ; Denitrification - genetics ; Environment ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; Genes, Bacterial ; Limit of Detection ; Membranes, Artificial ; Methods. Procedures. Technologies ; Multivariate analysis ; Nitrification - genetics ; NOB ; Pollution ; Polymerase Chain Reaction ; Reverse-transcription qPCR ; Seasons ; Transcription, Genetic ; Urban wastewater treatment ; Various methods and equipments ; Wastewaters ; Water treatment and pollution</subject><ispartof>Bioresource technology, 2014-10, Vol.169, p.126-133</ispartof><rights>2014 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2014 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c398t-aa1051d616c1e1e372fa015df5a7705cc81ea3d0cfebdf71529d50fb970df6ac3</citedby><cites>FETCH-LOGICAL-c398t-aa1051d616c1e1e372fa015df5a7705cc81ea3d0cfebdf71529d50fb970df6ac3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0960852414009432$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28750516$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25043345$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gómez-Silván, C.</creatorcontrib><creatorcontrib>Vílchez-Vargas, R.</creatorcontrib><creatorcontrib>Arévalo, J.</creatorcontrib><creatorcontrib>Gómez, M.A.</creatorcontrib><creatorcontrib>González-López, J.</creatorcontrib><creatorcontrib>Pieper, D.H.</creatorcontrib><creatorcontrib>Rodelas, B.</creatorcontrib><title>Quantitative response of nitrifying and denitrifying communities to environmental variables in a full-scale membrane bioreactor</title><title>Bioresource technology</title><addtitle>Bioresour Technol</addtitle><description>•A full-scale MBR treating urban wastewater was operated for nine months.•Gene markers specific of AOB, NOB and denitrifiers were quantified by qPCR.•Both abundance (DNA) and transcription level (cDNA) of gene markers were analyzed.•MDS was used to link population abundances to changes in operation parameters.•N-cycle bacterial groups showed varying trends of response to operation parameters.
The abundance and transcription levels of specific gene markers of total bacteria, ammonia-oxidizing Betaproteobacteria, nitrite-oxidizing bacteria (Nitrospira-like) and denitrifiers (N2O-reducers) were analyzed using quantitative PCR (qPCR) and reverse-transcription qPCR during 9months in a full-scale membrane bioreactor treating urban wastewater. A stable community of N-removal key players was developed; however, the abundance of active populations experienced sharper shifts, demonstrating their fast adaptation to changing conditions. Despite constituting a small percentage of the total bacterial community, the larger abundances of active populations of nitrifiers explained the high N-removal accomplished by the MBR. Multivariate analyses revealed that temperature, accumulation of volatile suspended solids in the sludge, BOD5, NH4+ concentration and C/N ratio of the wastewater contributed significantly (23–38%) to explain changes in the abundance of nitrifiers and denitrifiers. However, each targeted group showed different responses to shifts in these parameters, evidencing the complexity of the balance among them for successful biological N-removal.</description><subject>AOB</subject><subject>Applied sciences</subject><subject>Bacteria - genetics</subject><subject>Biodegradation, Environmental</subject><subject>Biological and medical sciences</subject><subject>Bioreactors</subject><subject>Bioreactors - microbiology</subject><subject>Biotechnology</subject><subject>Denitrification - genetics</subject><subject>Environment</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Genes, Bacterial</subject><subject>Limit of Detection</subject><subject>Membranes, Artificial</subject><subject>Methods. Procedures. Technologies</subject><subject>Multivariate analysis</subject><subject>Nitrification - genetics</subject><subject>NOB</subject><subject>Pollution</subject><subject>Polymerase Chain Reaction</subject><subject>Reverse-transcription qPCR</subject><subject>Seasons</subject><subject>Transcription, Genetic</subject><subject>Urban wastewater treatment</subject><subject>Various methods and equipments</subject><subject>Wastewaters</subject><subject>Water treatment and pollution</subject><issn>0960-8524</issn><issn>1873-2976</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkE2PFCEQhonRuOOuf2HDxcRLt0X3AN03zcavZJPNJu6Z0FAok24YgZ5kT_51mcysevNECp6qenkIuWbQMmDi3a6dfEwFzY-2A7ZtQbQwjM_Ihg2yb7pRiudkA6OAZuDd9oK8ynkHAD2T3Uty0XHY9v2Wb8iv-1WH4osu_oA0Yd7HkJFGR4MvybtHH75THSy1-M-Ficuy1tpjpiVSDAefYlgwFD3Tg05eT3N98oFq6tZ5brLRM9IFlynpgPSYHbUpMV2RF07PGV-fz0vy8Onjt5svze3d5683H24b049DabRmwJkVTBiGDHvZOQ2MW8e1lMCNGRjq3oJxOFknGe9Gy8FNowTrhDb9JXl7mrtP8eeKuajFZ4PzXOPENSvGuegGOY6youKEmhRzTujUPvlFp0fFQB3lq516kq-O8hUIVeXXxuvzjnVa0P5pe7JdgTdnQB-FuOrC-PyXGySvvxSVe3_isBo5eEwqG4_BoPUJTVE2-v9l-Q2zQap9</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Gómez-Silván, C.</creator><creator>Vílchez-Vargas, R.</creator><creator>Arévalo, J.</creator><creator>Gómez, M.A.</creator><creator>González-López, J.</creator><creator>Pieper, D.H.</creator><creator>Rodelas, B.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</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>7X8</scope></search><sort><creationdate>20141001</creationdate><title>Quantitative response of nitrifying and denitrifying communities to environmental variables in a full-scale membrane bioreactor</title><author>Gómez-Silván, C. ; Vílchez-Vargas, R. ; Arévalo, J. ; Gómez, M.A. ; González-López, J. ; Pieper, D.H. ; Rodelas, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c398t-aa1051d616c1e1e372fa015df5a7705cc81ea3d0cfebdf71529d50fb970df6ac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>AOB</topic><topic>Applied sciences</topic><topic>Bacteria - genetics</topic><topic>Biodegradation, Environmental</topic><topic>Biological and medical sciences</topic><topic>Bioreactors</topic><topic>Bioreactors - microbiology</topic><topic>Biotechnology</topic><topic>Denitrification - genetics</topic><topic>Environment</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Genes, Bacterial</topic><topic>Limit of Detection</topic><topic>Membranes, Artificial</topic><topic>Methods. Procedures. Technologies</topic><topic>Multivariate analysis</topic><topic>Nitrification - genetics</topic><topic>NOB</topic><topic>Pollution</topic><topic>Polymerase Chain Reaction</topic><topic>Reverse-transcription qPCR</topic><topic>Seasons</topic><topic>Transcription, Genetic</topic><topic>Urban wastewater treatment</topic><topic>Various methods and equipments</topic><topic>Wastewaters</topic><topic>Water treatment and pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gómez-Silván, C.</creatorcontrib><creatorcontrib>Vílchez-Vargas, R.</creatorcontrib><creatorcontrib>Arévalo, J.</creatorcontrib><creatorcontrib>Gómez, M.A.</creatorcontrib><creatorcontrib>González-López, J.</creatorcontrib><creatorcontrib>Pieper, D.H.</creatorcontrib><creatorcontrib>Rodelas, B.</creatorcontrib><collection>Pascal-Francis</collection><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><jtitle>Bioresource technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gómez-Silván, C.</au><au>Vílchez-Vargas, R.</au><au>Arévalo, J.</au><au>Gómez, M.A.</au><au>González-López, J.</au><au>Pieper, D.H.</au><au>Rodelas, B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative response of nitrifying and denitrifying communities to environmental variables in a full-scale membrane bioreactor</atitle><jtitle>Bioresource technology</jtitle><addtitle>Bioresour Technol</addtitle><date>2014-10-01</date><risdate>2014</risdate><volume>169</volume><spage>126</spage><epage>133</epage><pages>126-133</pages><issn>0960-8524</issn><eissn>1873-2976</eissn><abstract>•A full-scale MBR treating urban wastewater was operated for nine months.•Gene markers specific of AOB, NOB and denitrifiers were quantified by qPCR.•Both abundance (DNA) and transcription level (cDNA) of gene markers were analyzed.•MDS was used to link population abundances to changes in operation parameters.•N-cycle bacterial groups showed varying trends of response to operation parameters.
The abundance and transcription levels of specific gene markers of total bacteria, ammonia-oxidizing Betaproteobacteria, nitrite-oxidizing bacteria (Nitrospira-like) and denitrifiers (N2O-reducers) were analyzed using quantitative PCR (qPCR) and reverse-transcription qPCR during 9months in a full-scale membrane bioreactor treating urban wastewater. A stable community of N-removal key players was developed; however, the abundance of active populations experienced sharper shifts, demonstrating their fast adaptation to changing conditions. Despite constituting a small percentage of the total bacterial community, the larger abundances of active populations of nitrifiers explained the high N-removal accomplished by the MBR. Multivariate analyses revealed that temperature, accumulation of volatile suspended solids in the sludge, BOD5, NH4+ concentration and C/N ratio of the wastewater contributed significantly (23–38%) to explain changes in the abundance of nitrifiers and denitrifiers. However, each targeted group showed different responses to shifts in these parameters, evidencing the complexity of the balance among them for successful biological N-removal.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>25043345</pmid><doi>10.1016/j.biortech.2014.06.089</doi><tpages>8</tpages></addata></record> |
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subjects | AOB Applied sciences Bacteria - genetics Biodegradation, Environmental Biological and medical sciences Bioreactors Bioreactors - microbiology Biotechnology Denitrification - genetics Environment Exact sciences and technology Fundamental and applied biological sciences. Psychology Genes, Bacterial Limit of Detection Membranes, Artificial Methods. Procedures. Technologies Multivariate analysis Nitrification - genetics NOB Pollution Polymerase Chain Reaction Reverse-transcription qPCR Seasons Transcription, Genetic Urban wastewater treatment Various methods and equipments Wastewaters Water treatment and pollution |
title | Quantitative response of nitrifying and denitrifying communities to environmental variables in a full-scale membrane bioreactor |
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