Targeted detection of Dehalococcoides mccartyi microbial protein biomarkers as indicators of reductive dechlorination activity in contaminated groundwater

Manuel I.Villalobos Solis, Paul E. Abraham, Karuna Chourey, Cynthia M. Swift, Frank E. Löffler, Robert L. Hettich

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Dehalococcoides mccartyi (Dhc) bacterial strains expressing active reductive dehalogenase (RDase) enzymes play key roles in the transformation and detoxification of chlorinated pollutants, including chlorinated ethenes. Site monitoring regimes traditionally rely on qPCR to assess the presence of Dhc biomarker genes; however, this technique alone cannot directly inform about dechlorination activity. To supplement gene-centric approaches and provide a more reliable proxy for dechlorination activity, we sought to demonstrate a targeted proteomics approach that can characterize Dhc mediated dechlorination in groundwater contaminated with chlorinated ethenes. Targeted peptide selection was conducted in axenic cultures of Dhc strains 195, FL2, and BAV1. These experiments yielded 37 peptides from housekeeping and structural proteins (i.e., GroEL, EF-TU, rpL7/L2 and the S-layer), as well as proteins involved in the reductive dechlorination activity (i.e., FdhA, TceA, and BvcA). The application of targeted proteomics to a defined bacterial consortium and contaminated groundwater samples resulted in the detection of FdhA peptides, which revealed active dechlorination with Dhc strain-level resolution, and the detection of RDases peptides indicating specific reductive dechlorination steps. The results presented here show that targeted proteomics can be applied to groundwater samples and provide protein level information about Dhc dechlorination activity.

Original languageEnglish
Article number10604
JournalScientific Reports
Volume9
Issue number1
DOIs
StatePublished - Dec 1 2019

Bibliographical note

Publisher Copyright:
© 2019, The Author(s).

Funding

This work was supported by the Strategic Environmental Research and Development Program (SERDP) under project ER-2312. Groundwater samples and associated chemical compound data for each well (i.e. Supplemental Table S6) were provided by Brian Murray and Molly Maxwell.

FundersFunder number
Strategic Environmental Research and Development ProgramER-2312

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