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Groundwater contamination impacts microbial diversity. Specific microbial genes can predict contaminant levels and ecosystem health, offering insights into environmental contamination. This research highlights the potential of microbial functional genes as biomarkers.

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Area of Science:

  • Environmental Microbiology
  • Ecology
  • Biogeochemistry

Background:

  • Anthropogenic activities contaminate ecosystems, impacting biodiversity.
  • Limited understanding of how groundwater contamination affects microbial communities and ecosystem functions.
  • Need for reliable biomarkers to predict environmental contamination and ecosystem functioning.

Purpose of the Study:

  • To investigate the impact of environmental contamination (uranium, nitrate) and pH on groundwater microbial functional diversity.
  • To identify specific microbial functional genes and populations that can serve as biomarkers for contamination.
  • To assess the potential of these biomarkers for predicting groundwater contamination and ecosystem functioning.

Main Methods:

  • Analysis of groundwater microbiomes from 69 wells using a comprehensive functional gene array (GeoChip 5).
  • Assessment of environmental parameters including pH, uranium, and nitrate concentrations.
  • Statistical analysis to correlate microbial functional gene abundance with environmental variables.

Main Results:

  • Groundwater microbial functional richness and diversity decreased with increasing uranium concentrations.
  • Specific microbial functional genes and populations (5.9%) significantly increased with uranium or nitrate contamination.
  • Changes in these key microbial genes successfully predicted uranium and nitrate contamination levels and ecosystem functioning.

Conclusions:

  • Microbial functional genes can serve as effective biomarkers for predicting environmental contamination.
  • Specific microbial guilds respond to contaminants, offering insights into ecosystem health.
  • This study advances predictive microbial ecology by linking functional genes to contaminant distribution and ecosystem functioning.