Microbiological monitoring of acid mine drainage treatment systems and aquatic surroundings using real-time PCR.
In general, acid mine drainage (AMD) causes low pH and high metal concentrations in mining areas and surroundings. The aim of this research was to achieve microbiological monitoring for AMD and to assess whether mine water outflows have any ecological effects on the aqueous ecosystem receiving effluents from different types of treatment system. The water quality of aquatic sample was analyzed and the molecular biological diversity of the samples was assessed using 16S rRNA methods, which were implemented to determine which bacteria existed throughout various unit processes for different AMD treatment systems and their receiving water environments. Acidiphilium cryptum, a heterotrophic acidophile, was found at the AMD sites, and Rhodoferax ferrireducens, which can reduce iron using insoluble Fe(III) as an electron acceptor, was detected at many AMD treatment facilities and downstream of the treatment processes. Subsequently, quantitative real-time PCR was conducted on specific genes of selected bacteria. Surprisingly, obvious trends were observed in the relative abundance of the various bacteria that corresponded to the water quality analytical results. The copy number of Desulfosporosinus orientus, a sulfate reducing bacteria, was also observed to decrease in response to decreases in metals according to the downstream flow of the AMD treatment system.
Han
J S
JS
Department of the Environment Engineering, Inha University, Namgu, Incheon 402-751, Korea.
Kim
C G
CG
D001419:Bacteria / Q000235:genetics*; D001483:Base Sequence; D044822:Biodiversity; D017931:DNA Primers / Q000235:genetics; D004784:Environmental Monitoring / Q000706:statistics & numerical data*; D006863:Hydrogen-Ion Concentration; D008906:Mining; D008969:Molecular Sequence Data; D012336:RNA, Ribosomal, 16S / Q000235:genetics; D020133:Reverse Transcriptase Polymerase Chain Reaction; D017422:Sequence Analysis, DNA; D014865:Waste Disposal, Fluid / Q000379:methods / Q000706:statistics & numerical data*; D014871:Water Microbiology; D014874:Water Pollutants, Chemical / Q000032:analysis / Q000737:chemistry*
D017931:DNA Primers; D012336:RNA, Ribosomal, 16S; D014874:Water Pollutants, Chemical