| Characterization of the microbial community composition and the distribution of Fe-metabolizing bacteria in a creek contaminated by acid mine drainage |
| Weimin Sun; Enzong Xiao; Valdis Krumins; Yiran Dong; Tangfu Xiao; Zengping Ning; Haiyan Chen; Qingxiang Xiao
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| 2016
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Source Publication | Applied Microbiology and Biotechnology
(IF:3.42[JCR-2016],3.716[5-Year]) |
Volume | 100Issue:19Pages:8523-8535 |
Abstract | A small watershed heavily contaminated by long-term acid mine drainage (AMD) from an upstream abandoned coal mine was selected to study the microbial community developed in such extreme system. The watershed consists of AMD-contaminated creek, adjacent contaminated soils, and a small cascade aeration unit constructed downstream, which provide an excellent contaminated site to study the microbial response in diverse extreme AMD-polluted environments. The results showed that the innate microbial communities were dominated by acidophilic bacteria, especially acidophilic Fe-metabolizing bacteria, suggesting that Fe and pH are the primary environmental factors in governing the indigenous microbial communities. The distribution of Fe-metabolizing bacteria showed distinct site-specific patterns. A pronounced shift from diverse communities in the upstream to Proteobacteria-dominated communities in the downstream was observed in the ecosystem. This location-specific trend was more apparent at genus level. In the upstream samples (sampling sites just below the coal mining adit), a number of Fe(II)-oxidizing bacteria such as Alicyclobacillus spp., Metallibacterium spp., and Acidithrix spp. were dominant, while Halomonas spp. were the major Fe(II)-oxidizing bacteria observed in downstream samples. Additionally, Acidiphilium, an Fe(III)-reducing bacterium, was enriched in the upstream samples, while Shewanella spp. were the dominant Fe(III)-reducing bacteria in downstream samples. Further investigation using linear discriminant analysis (LDA) effect size (LEfSe), principal coordinate analysis (PCoA), and unweighted pair group method with arithmetic mean (UPGMA) clustering confirmed the difference of microbial communities between upstream and downstream samples. Canonical correspondence analysis (CCA) and Spearman's rank correlation indicate that total organic carbon (TOC) content is the primary environmental parameter in structuring the indigenous microbial communities, suggesting that the microbial communities are shaped by three major environmental parameters (i.e., Fe, pH, and TOC). These findings were beneficial to a better understanding of natural attenuation of AMD. |
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Subject Area | 环境地球化学
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Indexed By | SCI
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Language | 英语
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Document Type | 期刊论文
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Identifier | http://ir.gyig.ac.cn/handle/352002/6537
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Collection | 环境地球化学国家重点实验室_环境地球化学国家重点实验室_期刊论文
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Recommended Citation GB/T 7714 |
Weimin Sun,Enzong Xiao,Valdis Krumins,et al. Characterization of the microbial community composition and the distribution of Fe-metabolizing bacteria in a creek contaminated by acid mine drainage[J]. Applied Microbiology and Biotechnology,2016,100(19):8523-8535.
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APA |
Weimin Sun.,Enzong Xiao.,Valdis Krumins.,Yiran Dong.,Tangfu Xiao.,...&Qingxiang Xiao.(2016).Characterization of the microbial community composition and the distribution of Fe-metabolizing bacteria in a creek contaminated by acid mine drainage.Applied Microbiology and Biotechnology,100(19),8523-8535.
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MLA |
Weimin Sun,et al."Characterization of the microbial community composition and the distribution of Fe-metabolizing bacteria in a creek contaminated by acid mine drainage".Applied Microbiology and Biotechnology 100.19(2016):8523-8535.
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