Correlations between maximum reductive dechlorination rates and specific biomass parameters in Dehalococcoides mccartyi consortia enriched on chloroethenes PCE, TCE and cis-1,2-DCE
ABSTRACT One of the challenges to implementing the modeling of the biological reductive dechlorination (RD) process is the evaluation of biological parameters that represent the abundance/activity levels of the microorganisms involved in the biodegradation of chloroethenes. Here we report a combined...
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| Veröffentlicht in: | FEMS microbiology ecology 2021-06, Vol.97 (6) |
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| creator | Matturro, B Majone, M Aulenta, F Rossetti, S |
| description | ABSTRACT
One of the challenges to implementing the modeling of the biological reductive dechlorination (RD) process is the evaluation of biological parameters that represent the abundance/activity levels of the microorganisms involved in the biodegradation of chloroethenes. Here we report a combined analysis of kinetic and specific biomass parameters conducted on three dechlorinating consortia enriched on PCE, TCE and cis-1,2-DCE. In these consortia, Dehalococcoides mccartyi (Dhc) represented ≥70% of the bacterial population identified via 16S rRNA gene amplicon sequencing. Quantitative biomolecular methods were used to generate specific biomass parameters targeting either the Dhc population (16S rRNA genes or cells) or specific genes encoding RD process-involved reductive dehalogenases. The correlation factor between the abundance of active Dhc cells or tceA gene copies and maximum RD rates allowed to predict an increment of 7E+09 of active Dhc cells or 5E+09 tceA gene copies/L under controlled conditions. Diversely, the utilization of gene transcripts as biomass parameters for RD modeling did not provide reliable correlations with kinetic performances. This study provides valuable insights for further modeling of the RD process through the utilization of specific biomass parameters.
Dehalococcoides mccartyi cell abundance correlates with reductive dechlorination rates and allows to predict kinetic parameters indicating per cell respiration rates of dechlorinating consortia enriched on PCE, TCE and cis-1,2-DCE. |
| doi_str_mv | 10.1093/femsec/fiab064 |
| format | Article |
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One of the challenges to implementing the modeling of the biological reductive dechlorination (RD) process is the evaluation of biological parameters that represent the abundance/activity levels of the microorganisms involved in the biodegradation of chloroethenes. Here we report a combined analysis of kinetic and specific biomass parameters conducted on three dechlorinating consortia enriched on PCE, TCE and cis-1,2-DCE. In these consortia, Dehalococcoides mccartyi (Dhc) represented ≥70% of the bacterial population identified via 16S rRNA gene amplicon sequencing. Quantitative biomolecular methods were used to generate specific biomass parameters targeting either the Dhc population (16S rRNA genes or cells) or specific genes encoding RD process-involved reductive dehalogenases. The correlation factor between the abundance of active Dhc cells or tceA gene copies and maximum RD rates allowed to predict an increment of 7E+09 of active Dhc cells or 5E+09 tceA gene copies/L under controlled conditions. Diversely, the utilization of gene transcripts as biomass parameters for RD modeling did not provide reliable correlations with kinetic performances. This study provides valuable insights for further modeling of the RD process through the utilization of specific biomass parameters.
Dehalococcoides mccartyi cell abundance correlates with reductive dechlorination rates and allows to predict kinetic parameters indicating per cell respiration rates of dechlorinating consortia enriched on PCE, TCE and cis-1,2-DCE.</description><identifier>ISSN: 1574-6941</identifier><identifier>ISSN: 0168-6496</identifier><identifier>EISSN: 1574-6941</identifier><identifier>DOI: 10.1093/femsec/fiab064</identifier><identifier>PMID: 33899920</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Biodegradation ; Biological activity ; Biomass ; Consortia ; Controlled conditions ; Correlation coefficients ; Dechlorination ; Dehalococcoides ; Ecology ; Gene sequencing ; Genes ; Mathematical models ; Microbiology ; Microorganisms ; Modelling ; Parameters ; rRNA 16S ; TceA gene</subject><ispartof>FEMS microbiology ecology, 2021-06, Vol.97 (6)</ispartof><rights>The Author(s) 2021. Published by Oxford University Press on behalf of FEMS. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2021</rights><rights>The Author(s) 2021. Published by Oxford University Press on behalf of FEMS.</rights><rights>The Author(s) 2021. Published by Oxford University Press on behalf of FEMS. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c357t-22c9c11a54a20df9694343ff94aa06ac7cab2362e3e5538914f9909d35c90ab3</citedby><cites>FETCH-LOGICAL-c357t-22c9c11a54a20df9694343ff94aa06ac7cab2362e3e5538914f9909d35c90ab3</cites><orcidid>0000-0001-6819-7944 ; 0000-0002-9250-5633</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1604,27924,27925</link.rule.ids><linktorsrc>$$Uhttps://dx.doi.org/10.1093/femsec/fiab064$$EView_record_in_Oxford_University_Press$$FView_record_in_$$GOxford_University_Press</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33899920$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Matturro, B</creatorcontrib><creatorcontrib>Majone, M</creatorcontrib><creatorcontrib>Aulenta, F</creatorcontrib><creatorcontrib>Rossetti, S</creatorcontrib><title>Correlations between maximum reductive dechlorination rates and specific biomass parameters in Dehalococcoides mccartyi consortia enriched on chloroethenes PCE, TCE and cis-1,2-DCE</title><title>FEMS microbiology ecology</title><addtitle>FEMS Microbiol Ecol</addtitle><description>ABSTRACT
One of the challenges to implementing the modeling of the biological reductive dechlorination (RD) process is the evaluation of biological parameters that represent the abundance/activity levels of the microorganisms involved in the biodegradation of chloroethenes. Here we report a combined analysis of kinetic and specific biomass parameters conducted on three dechlorinating consortia enriched on PCE, TCE and cis-1,2-DCE. In these consortia, Dehalococcoides mccartyi (Dhc) represented ≥70% of the bacterial population identified via 16S rRNA gene amplicon sequencing. Quantitative biomolecular methods were used to generate specific biomass parameters targeting either the Dhc population (16S rRNA genes or cells) or specific genes encoding RD process-involved reductive dehalogenases. The correlation factor between the abundance of active Dhc cells or tceA gene copies and maximum RD rates allowed to predict an increment of 7E+09 of active Dhc cells or 5E+09 tceA gene copies/L under controlled conditions. Diversely, the utilization of gene transcripts as biomass parameters for RD modeling did not provide reliable correlations with kinetic performances. This study provides valuable insights for further modeling of the RD process through the utilization of specific biomass parameters.
Dehalococcoides mccartyi cell abundance correlates with reductive dechlorination rates and allows to predict kinetic parameters indicating per cell respiration rates of dechlorinating consortia enriched on PCE, TCE and cis-1,2-DCE.</description><subject>Biodegradation</subject><subject>Biological activity</subject><subject>Biomass</subject><subject>Consortia</subject><subject>Controlled conditions</subject><subject>Correlation coefficients</subject><subject>Dechlorination</subject><subject>Dehalococcoides</subject><subject>Ecology</subject><subject>Gene sequencing</subject><subject>Genes</subject><subject>Mathematical models</subject><subject>Microbiology</subject><subject>Microorganisms</subject><subject>Modelling</subject><subject>Parameters</subject><subject>rRNA 16S</subject><subject>TceA gene</subject><issn>1574-6941</issn><issn>0168-6496</issn><issn>1574-6941</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkU9v1DAQxSNERUvLlSOyxAWkprVje1MfUbr8kSq1h71Hk8lE6yqOg-0U-r36AWt2F4S4cJo5_Oa90XtF8VbwC8GNvBzIRcLLwULHV-pFcSJ0rcqVUeLlX_tx8TrGe86Floq_Ko6lvDLGVPykeGp8CDRCsn6KrKP0g2hiDn5atzgWqF8w2QdiPeF29MFOO5IFSBQZTD2LM6EdLLLOegcxshkCOEoUIrMTu6YtjB49ord9PnGIENKjZZj9fEgWGE3B4pZ6lnV3Jp7SlqYM3zXrc7Zp1jsjtLEU51V53azPiqMBxkhvDvO02Hxeb5qv5c3tl2_Np5sSpa5TWVVoUAjQCireDyYnIZUcBqMA-AqwRugquapIktY5EaEGY7jppUbDoZOnxYe97Bz894Viap2NSOMIE_kltpUWV7XiUpqMvv8HvfdLmPJzmVI118oIkamLPYXBxxhoaOdgHYTHVvD2V53tvs72UGc-eHeQXTpH_R_8d38Z-LgH_DL_T-wZbROuIg</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Matturro, B</creator><creator>Majone, M</creator><creator>Aulenta, F</creator><creator>Rossetti, S</creator><general>Oxford University Press</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7T7</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</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>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-6819-7944</orcidid><orcidid>https://orcid.org/0000-0002-9250-5633</orcidid></search><sort><creationdate>20210601</creationdate><title>Correlations between maximum reductive dechlorination rates and specific biomass parameters in Dehalococcoides mccartyi consortia enriched on chloroethenes PCE, TCE and cis-1,2-DCE</title><author>Matturro, B ; 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One of the challenges to implementing the modeling of the biological reductive dechlorination (RD) process is the evaluation of biological parameters that represent the abundance/activity levels of the microorganisms involved in the biodegradation of chloroethenes. Here we report a combined analysis of kinetic and specific biomass parameters conducted on three dechlorinating consortia enriched on PCE, TCE and cis-1,2-DCE. In these consortia, Dehalococcoides mccartyi (Dhc) represented ≥70% of the bacterial population identified via 16S rRNA gene amplicon sequencing. Quantitative biomolecular methods were used to generate specific biomass parameters targeting either the Dhc population (16S rRNA genes or cells) or specific genes encoding RD process-involved reductive dehalogenases. The correlation factor between the abundance of active Dhc cells or tceA gene copies and maximum RD rates allowed to predict an increment of 7E+09 of active Dhc cells or 5E+09 tceA gene copies/L under controlled conditions. Diversely, the utilization of gene transcripts as biomass parameters for RD modeling did not provide reliable correlations with kinetic performances. This study provides valuable insights for further modeling of the RD process through the utilization of specific biomass parameters.
Dehalococcoides mccartyi cell abundance correlates with reductive dechlorination rates and allows to predict kinetic parameters indicating per cell respiration rates of dechlorinating consortia enriched on PCE, TCE and cis-1,2-DCE.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>33899920</pmid><doi>10.1093/femsec/fiab064</doi><orcidid>https://orcid.org/0000-0001-6819-7944</orcidid><orcidid>https://orcid.org/0000-0002-9250-5633</orcidid></addata></record> |
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| source | Oxford Journals Open Access Collection |
| subjects | Biodegradation Biological activity Biomass Consortia Controlled conditions Correlation coefficients Dechlorination Dehalococcoides Ecology Gene sequencing Genes Mathematical models Microbiology Microorganisms Modelling Parameters rRNA 16S TceA gene |
| title | Correlations between maximum reductive dechlorination rates and specific biomass parameters in Dehalococcoides mccartyi consortia enriched on chloroethenes PCE, TCE and cis-1,2-DCE |
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