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Diversity of the Sediment Microbial Community in the Aha Watershed (Southwest China) in Response to Acid Mine Drainage Pollution Gradients
Author(s) -
Weimin Sun,
Tangfu Xiao,
Min Sun,
Yiran Dong,
Zengping Ning,
Enzong Xiao,
Song Tang,
Jiwei Li
Publication year - 2015
Publication title -
applied and environmental microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.552
H-Index - 324
eISSN - 1070-6291
pISSN - 0099-2240
DOI - 10.1128/aem.00935-15
Subject(s) - watershed , microbial population biology , biogeochemical cycle , acid mine drainage , environmental science , pollution , sediment , environmental chemistry , temperature gradient gel electrophoresis , ecology , biology , bacteria , chemistry , paleontology , 16s ribosomal rna , machine learning , computer science , genetics
Located in southwest China, the Aha watershed is continually contaminated by acid mine drainage (AMD) produced from upstream abandoned coal mines. The watershed is fed by creeks with elevated concentrations of aqueous Fe (total Fe > 1 g/liter) and SO4 2− (>6 g/liter). AMD contamination gradually decreases throughout downstream rivers and reservoirs, creating an AMD pollution gradient which has led to a suite of biogeochemical processes along the watershed. In this study, sediment samples were collected along the AMD pollution sites for geochemical and microbial community analyses. High-throughput sequencing found various bacteria associated with microbial Fe and S cycling within the watershed and AMD-impacted creek. A large proportion of Fe- and S-metabolizing bacteria were detected in this watershed. The dominant Fe- and S-metabolizing bacteria were identified as microorganisms belonging to the generaMetallibacterium ,Aciditerrimonas ,Halomonas ,Shewanella ,Ferrovum ,Alicyclobacillus , andSyntrophobacter . Among them,Halomonas ,Aciditerrimonas ,Metallibacterium , andShewanella have previously only rarely been detected in AMD-contaminated environments. In addition, the microbial community structures changed along the watershed with different magnitudes of AMD pollution. Moreover, the canonical correspondence analysis suggested that temperature, pH, total Fe, sulfate, and redox potentials (Eh ) were significant factors that structured the microbial community compositions along the Aha watershed.

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