Molecular Biomarker-Based Biokinetic Modeling of a PCE-Dechlorinating and Methanogenic Mixed Culture.
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| Title: | Molecular Biomarker-Based Biokinetic Modeling of a PCE-Dechlorinating and Methanogenic Mixed Culture. |
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| Authors: | Heavner, Gretchen L. W.1, Rowe, Annette R.2, Mansfeldt, Cresten B.1, Ju Khuan Pan1, Gossett, James M.1, Richardson, Ruth E.1 RER26@cornell.edu |
| Source: | Environmental Science & Technology. 4/16/2013, Vol. 47 Issue 8, p3724-3733. 10p. |
| Subjects: | Methanobacteriaceae, Biomarkers, Chemical dechlorination kinetics, Bioremediation, Dehalococcoides, Biodegradation of vinyl chloride, Mathematical models |
| Abstract: | Bioremediation of chlorinated ethenes via anaerobic reductive dechlorination relies upon the activity of specific microbial populations - most notably Dehalococcoides (DHC) strains. In the lab and field Dehalococcoides grow most robustly in mixed communities which usually contain both fermenters and methanogens. Recently, researchers have been developing quantitative molecular biomarkers to aid in field site diagnostics and it is hoped that these biomarkers could aid in the modeling of anaerobic reductive dechlorination. A comprehensive biokinetic model of a community containing Dehalococcoides mccartyi (formerly D. ethenogenes) was updated to describe continuously fed reactors with specific biomass levels based on quantitative PCR (qPCR)-based population data (DNA and RNA). The model was calibrated and validated with subsets of chemical and molecular biological data from various continuous feed experiments (n = 24) with different loading rates of the electron acceptor (1.5 to 482 μeeq/L-h), types of electron acceptor (PCE, TCE, cis-DCE) and electron donor to electron acceptor ratios. The resulting model predicted the sum of dechlorination products vinyl chloride (VC) and ethene (ETH) well. However, VC alone was under-predicted and ETH was over predicted. Consequently, competitive inhibition among chlorinated ethenes was examined and then added to the model. Additionally, as 16S rRNA gene copy numbers did not provide accurate model fits in all cases, we examined whether an improved fit could be obtained if mRNA levels for key functional enzymes could be used to infer respiration rates. The resulting empirically derived mRNA "adjustment factors" were added to the model for both DHC and the main methanogen in the culture (a Methanosaeta species) to provide a more nuanced prediction of activity. Results of this study suggest that at higher feeding rates competitive inhibition is important and mRNA provides a more accurate indicator of a population's instantaneous activity than 16S rRNA gene copies alone as biomass estimates. [ABSTRACT FROM AUTHOR] |
| Copyright of Environmental Science & Technology is the property of American Chemical Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 87597689 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Molecular Biomarker-Based Biokinetic Modeling of a PCE-Dechlorinating and Methanogenic Mixed Culture. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Heavner%2C+Gretchen+L%2E+W%2E%22">Heavner, Gretchen L. W.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Rowe%2C+Annette+R%2E%22">Rowe, Annette R.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Mansfeldt%2C+Cresten+B%2E%22">Mansfeldt, Cresten B.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ju+Khuan+Pan%22">Ju Khuan Pan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Gossett%2C+James+M%2E%22">Gossett, James M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Richardson%2C+Ruth+E%2E%22">Richardson, Ruth E.</searchLink><relatesTo>1</relatesTo><i> RER26@cornell.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Science+%26+Technology%22">Environmental Science & Technology</searchLink>. 4/16/2013, Vol. 47 Issue 8, p3724-3733. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Methanobacteriaceae%22">Methanobacteriaceae</searchLink><br /><searchLink fieldCode="DE" term="%22Biomarkers%22">Biomarkers</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+dechlorination+kinetics%22">Chemical dechlorination kinetics</searchLink><br /><searchLink fieldCode="DE" term="%22Bioremediation%22">Bioremediation</searchLink><br /><searchLink fieldCode="DE" term="%22Dehalococcoides%22">Dehalococcoides</searchLink><br /><searchLink fieldCode="DE" term="%22Biodegradation+of+vinyl+chloride%22">Biodegradation of vinyl chloride</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Bioremediation of chlorinated ethenes via anaerobic reductive dechlorination relies upon the activity of specific microbial populations - most notably Dehalococcoides (DHC) strains. In the lab and field Dehalococcoides grow most robustly in mixed communities which usually contain both fermenters and methanogens. Recently, researchers have been developing quantitative molecular biomarkers to aid in field site diagnostics and it is hoped that these biomarkers could aid in the modeling of anaerobic reductive dechlorination. A comprehensive biokinetic model of a community containing Dehalococcoides mccartyi (formerly D. ethenogenes) was updated to describe continuously fed reactors with specific biomass levels based on quantitative PCR (qPCR)-based population data (DNA and RNA). The model was calibrated and validated with subsets of chemical and molecular biological data from various continuous feed experiments (n = 24) with different loading rates of the electron acceptor (1.5 to 482 μeeq/L-h), types of electron acceptor (PCE, TCE, cis-DCE) and electron donor to electron acceptor ratios. The resulting model predicted the sum of dechlorination products vinyl chloride (VC) and ethene (ETH) well. However, VC alone was under-predicted and ETH was over predicted. Consequently, competitive inhibition among chlorinated ethenes was examined and then added to the model. Additionally, as 16S rRNA gene copy numbers did not provide accurate model fits in all cases, we examined whether an improved fit could be obtained if mRNA levels for key functional enzymes could be used to infer respiration rates. The resulting empirically derived mRNA "adjustment factors" were added to the model for both DHC and the main methanogen in the culture (a Methanosaeta species) to provide a more nuanced prediction of activity. Results of this study suggest that at higher feeding rates competitive inhibition is important and mRNA provides a more accurate indicator of a population's instantaneous activity than 16S rRNA gene copies alone as biomass estimates. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Science & Technology is the property of American Chemical Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1021/es303517s Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 3724 Subjects: – SubjectFull: Methanobacteriaceae Type: general – SubjectFull: Biomarkers Type: general – SubjectFull: Chemical dechlorination kinetics Type: general – SubjectFull: Bioremediation Type: general – SubjectFull: Dehalococcoides Type: general – SubjectFull: Biodegradation of vinyl chloride Type: general – SubjectFull: Mathematical models Type: general Titles: – TitleFull: Molecular Biomarker-Based Biokinetic Modeling of a PCE-Dechlorinating and Methanogenic Mixed Culture. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Heavner, Gretchen L. W. – PersonEntity: Name: NameFull: Rowe, Annette R. – PersonEntity: Name: NameFull: Mansfeldt, Cresten B. – PersonEntity: Name: NameFull: Ju Khuan Pan – PersonEntity: Name: NameFull: Gossett, James M. – PersonEntity: Name: NameFull: Richardson, Ruth E. IsPartOfRelationships: – BibEntity: Dates: – D: 16 M: 04 Text: 4/16/2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 0013936X Numbering: – Type: volume Value: 47 – Type: issue Value: 8 Titles: – TitleFull: Environmental Science & Technology Type: main |
| ResultId | 1 |
