期刊
MICROBIAL ECOLOGY
卷 78, 期 3, 页码 651-664出版社
SPRINGER
DOI: 10.1007/s00248-019-01335-5
关键词
Random Forest; Indicator species analysis; Acidimicrobiales; Acid mine drainage; Ecological strategies
资金
- GDAS' Project of Science and Technology Development [2017GDASCX-0106, 2018GDASCX-0601, 2019GDASYL-0302006, 2019GDASYL-0301002]
- National Natural Science Foundation of China [41771301, 41420104007]
- High-level Leading Talent Introduction Program of GDAS [2016GDASRC-0103]
- Science and Technology Planning Project of Guangdong Province [2017A070702015, 2017B030314092]
Microbial communities inhabiting the acid mine drainage (AMD) have been extensively studied, but the microbial communities in the coal mining waste dump that may generate the AMD are still relatively under-explored. In this study, we characterized the microbial communities within these under-explored extreme habitats and compared with those in the downstream AMD creek. In addition, the interplay between the microbiota and the environmental parameters was statistically investigated. A Random Forest ensemble model indicated that pH was the most important environmental parameter influencing microbial community and diversity. Parameters associated with nitrogen cycling were also critical factors, with positive effects on microbial diversity, while S-related parameters had negative effects. The microbial community analysis also indicated that the microbial assemblage was driven by pH. Various taxa were enriched in different pH ranges: Sulfobacillus was the indicator genus in samples with pH < 3 while Acidobacteriaceae-affiliated bacteria prevailed in samples with 3 < pH < 3.5. The detection of some lineages that are seldom reported in mining areas suggested the coal mining dumps may be a reservoir of phylogenetic novelty. For example, potential nitrogen fixers, autotrophs, and heterotrophs may form diverse communities that actively self-perpetuate pyrite dissolution and acidic waste generation, suggesting unique ecological strategies adopted by these innate microorganisms. In addition, co-occurrence network analyses suggest that members of Acidimicrobiales play important roles in interactions with other taxa, especially Fe- and S-oxidizing bacteria such as Sulfobacillus spp.
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