Molecular biomarker-based biokinetic modeling of a PCE-dechlorinating and methanogenic mixed culture.
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.
School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, USA.
Gretchen L W
GL
Heavner
Annette R
AR
Rowe
Cresten B
CB
Mansfeldt
Ju Khuan
JK
Pan
James M
JM
Gossett
Ruth E
RE
Richardson
D000332:Aerobiosis; D001673:Biodegradation, Environmental; D015415:Biomarkers / Q000378:metabolism; D018533:Biomass; D041862:Chloroflexi / Q000235:genetics / Q000378:metabolism*; D004583:Electrons; D005030:Ethylenes / Q000378:metabolism; D015964:Gene Expression Regulation, Bacterial; D005798:Genes, Bacterial / Q000235:genetics; D054879:Halogenation; D006846:Hydrocarbons, Halogenated / Q000378:metabolism* / Q000493:pharmacokinetics*; D007700:Kinetics; D008697:Methane / Q000378:metabolism*; D008954:Models, Biological; D012333:RNA, Messenger / Q000235:genetics / Q000378:metabolism; D013997:Time Factors; D014241:Trichloroethylene / Q000378:metabolism / Q000493:pharmacokinetics; D014752:Vinyl Chloride / Q000378:metabolism
D015415:Biomarkers; D005030:Ethylenes; D006846:Hydrocarbons, Halogenated; D012333:RNA, Messenger; D014241:Trichloroethylene; C036216:ethylene; D008697:Methane; D014752:Vinyl Chloride