Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Guangdong Institute of Eco-environmental Science & Technology, 808 Tianyuan Road, Guangzhou, 510650, China.
Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, China.
Microb Ecol. 2019 Oct;78(3):651-664. doi: 10.1007/s00248-019-01335-5. Epub 2019 Mar 11.
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.
微生物群落栖息于酸性矿山排水(AMD)已被广泛研究,但在可能产生 AMD 的煤矿堆中,其微生物群落仍然相对较少被探索。在本研究中,我们对这些极端生境中的微生物群落进行了表征,并与下游 AMD 溪流中的微生物群落进行了比较。此外,还对微生物群落与环境参数之间的相互作用进行了统计分析。随机森林集成模型表明,pH 是影响微生物群落和多样性的最重要环境参数。与氮循环相关的参数也是关键因素,对微生物多样性有积极影响,而 S 相关参数则有负面影响。微生物群落分析还表明,微生物组合受 pH 驱动。各种分类群在不同的 pH 范围内富集:在 pH < 3 的样本中, Sulfobacillus 是指示属,而在 3 < pH < 3.5 的样本中, Acidobacteriaceae 相关细菌占优势。在矿区很少报道的一些谱系的检测表明,煤矿堆可能是系统发育新颖性的储库。例如,潜在的固氮生物、自养生物和异养生物可能形成多样的群落,积极地自我维持黄铁矿溶解和酸性废物的产生,这表明这些固有微生物采用了独特的生态策略。此外,共现网络分析表明, Acidimicrobiales 的成员在与其他分类群的相互作用中发挥重要作用,特别是 Sulfobacillus spp.等铁和硫氧化细菌。