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Related Concept Videos

Metabolism of Chemolithotrophs01:15

Metabolism of Chemolithotrophs

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Chemolithotrophs are microorganisms that obtain energy by oxidizing inorganic molecules such as hydrogen gas (H₂), ammonia (NH₃), reduced sulfur compounds (H₂S, S²⁻), and ferrous iron (Fe²⁺). Unlike heterotrophic organisms that rely on organic carbon, chemolithotrophs transfer electrons from these inorganic donors to the electron transport chain (ETC), generating a proton motive force (PMF) that drives ATP synthesis through oxidative phosphorylation.
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Bioremediation00:46

Bioremediation

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Bioremediation is the use of prokaryotes, fungi, or plants to remove pollutants from the environment. This process has been used to remove harmful toxins in groundwater as a byproduct of agricultural run-off and also to clean up oil spills.
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Related Experiment Video

Updated: Aug 21, 2025

Development of Sulfidogenic Sludge from Marine Sediments and Trichloroethylene Reduction in an Upflow Anaerobic Sludge Blanket Reactor
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Metabolome patterns identify active dechlorination in bioaugmentation consortium SDC-9™.

Amanda L May1, Yongchao Xie2, Fadime Kara Murdoch1

  • 1Center for Environmental Biotechnology, University of Tennessee, Knoxville, TN, United States.

Frontiers in Microbiology
|November 17, 2022
PubMed
Summary

Metabolomics using ultra-high performance liquid chromatography-high-resolution mass spectrometry (UPHLC-HRMS) can identify biomarkers for microbial contaminant biodegradation. This approach offers a more reliable monitoring tool for bioremediation than gene-based methods.

Keywords:
Dehalococcoidiabiomarkersbioremediationconsortium SDC-9™environmental monitoringmetabolomicsreductive dechlorination

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Area of Science:

  • Environmental Science
  • Microbiology
  • Analytical Chemistry

Background:

  • Contaminated sites pose environmental risks, with chlorinated ethenes being common pollutants.
  • Organohalide-respiring bacteria are crucial for detoxifying these contaminants.
  • Current assessment methods rely on gene-centric tools, which may not fully capture microbial activity.

Purpose of the Study:

  • To apply ultra-high performance liquid chromatography-high-resolution mass spectrometry (UPHLC-HRMS) for metabolomic analysis of microbial consortia involved in contaminant biodegradation.
  • To identify potential metabolic biomarkers indicative of reductive dechlorination activity.
  • To evaluate the efficacy of metabolomics for monitoring bioremediation processes.

Main Methods:

  • Utilized UPHLC-HRMS to perform untargeted metabolomics on the SDC-9™ bioaugmentation consortium during the conversion of cis-1,2-dichloroethene (cDCE).
  • Analyzed approximately 10,000 spectral features per sample, representing global metabolome changes.
  • Employed multivariate statistical techniques (PLSDA) and ANOVA to identify patterns and biomarkers correlated with dechlorination activity.

Main Results:

  • Detected significant metabolomic profiles associated with the reductive dechlorination process.
  • Identified 18 potential biomarkers that reliably indicated dechlorination activity.
  • Metabolomic data provided more accurate clustering of dechlorination activity compared to gene abundance or contaminant concentration alone.

Conclusions:

  • Metabolomic workflows using UPHLC-HRMS are powerful tools for understanding microbial processes in contaminant biodegradation.
  • The identified biomarkers offer a promising avenue for innovative site assessment and bioremediation monitoring.
  • This systems biology approach enhances the evaluation of microbial consortia in environmental remediation efforts.