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Field-Scale AMD Remediation: Microbial Community Dynamics and Functional Insights in Biochemical Passive Reactors

  • Juliana Jurado
  • , Angela Garcia-Vega
  • , Yaneth Vasquez
  • , Marcela Villegas-Plazas
  • , Fabio Roldan

Research output: Contribution to journalArticlepeer-review

Abstract

Acid mine drainage (AMD) generated during coal mining activities is characterized by low pH, high concentrations of dissolved metals and metalloids, and elevated sulfate levels, all of which significantly impact surrounding ecosystems. Scaling up biochemical passive reactor (BPR) systems represents a promising approach for the in situ bioremediation of AMD. While numerous laboratory-scale studies have described the taxonomic and functional composition of microbial communities in BPRs, typically dominated by (ligno)cellulolytic organisms and sulfate-reducing bacteria (SRB), it remains unclear whether this composition is maintained at the field-pilot scale under environmental conditions. To address this gap, 16S rRNA gene metabarcoding and shotgun metagenomics analyses were performed to characterize the taxonomic and functional diversity of microbial communities in the BPRs within a multi-unit field-pilot system. The results revealed that bioremediation effectiveness was driven by syntrophic interactions among hydrolytic, fermentative, and sulfate-reducing bacteria, aligning with laboratory-scale observations. While community composition shifts altered specific taxa, core operational dynamics remained preserved.

Original languageEnglish
Article number8
JournalMicrobial Ecology
Volume89
Issue number1
DOIs
StatePublished - 25 Nov 2025

Keywords

  • Acid mine drainage (AMD)
  • Active treatment
  • Biochemical passive reactor (BPR)
  • Metagenomics
  • Passive treatment
  • Sulfate-reducing bacteria (SRB)
  • Biodegradation, Environmental
  • Bacteria/classification
  • RNA, Ribosomal, 16S/genetics
  • Microbiota
  • Water Pollutants, Chemical/metabolism
  • Bioreactors/microbiology
  • Sulfates/metabolism
  • Coal Mining

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