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16s rDNA based microbial diversity analysis of eleven acid mine drainages obtained from three Chinese copper mines

Journal of Central South University 2011年第6期18卷 1930-1939页

作者：谢建平蒋宏忱刘新星刘学端周集中邱冠周 School of Resources Processing and Bioengineering Central South University Institute for Environmental Genomics University of Oklahoma Key Laboratory of Biometallurgy of Ministry of Education Central South University Geomicrobiology Laboratory State Key Laboratory of Geological Processes and Mineral Resources School of Earth Sciences and Resources China University of Geosciences

Eleven acid mine drainage （AMD） samples were obtained from southeast of China for the analysis of the microbial communities diversity, and the relationship with geochemical variables and spatial distance by using a culture-independent 16S rDNA gene phylogenetic analysis approach and multivariate analysis respectively. The principle component analysis （PCA） of geochemical variables shows that eleven AMDs can be clustered into two groups, relative high and low metal rich （RHMR and RLMR） AMDs. Total 1691 clone sequences are obtained and the detrended correspondence analysis （DCA） of operational taxonomic units （OTUs） shows that, ~,-Proteobacteria, Acidobacteria, Actinobacteria, Cyanobacteria, Firmicutes and Nitrospirae are dominant species in RHMR AMDs. In contrast, a-Proteobacteria, fl-Proteobacteria, Planctomycetes and Bacteriodetes are dominant species in RLMR AMD. Results also show that high-abundance putative iron-oxidizing and only putative sulfur-oxidizing microorganisms are found in RHMR AMD. Multivariate analysis shows that both geochemical variables （r=0.429 3, P=-0.037 7） and spatial distance （r=0.321 3, P=-0.018 1） are significantly positively correlated with microbial community and pH, Mg, Fe, S, Cu and Ca are key geochemistry factors in shaping microbial community. Variance partitioning analysis shows that geochemical variables and spatial distance can explain most （92%） of the variation.

关键词： acid mine drainage community structure 16S rDNA gene geochemical variables spatial distance

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Archaeal and bacterial communities in acid mine drainage from metal-rich abandoned tailing ponds, Tongling, China

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Transactions of Nonferrous Metals Society of China 2014年第10期24卷 3332-3342页

作者：杨扬李杨孙庆业安徽大学资源与环境工程学院合肥230601

To expand knowledge on microbial communities of various metal-rich levels of mine drainage environments in Anhui province, China, the archaeal and bacterial diversities were examined using a PCR-based cloning approach. Eight acid mine water samples were collected from five areas in Tongling. Phylogenetic analyses revealed that bacteria mainly fell into ten divisions, which were Betaproteobacteria, Gammaproteobacteria, Alphaproteobacteria, Deinococcus-Thermus, Nitrospira, Firmicutes, Actinobacteria, Deltaproteobacteria, Bacteroidetes, Chloroflexi. Archaea fell into three phylogenetic divisions, Thermoplasma, Ferroplasma and Thermogymnomonas. The unweighted pair group method with arithmetic mean（UPGMA） cluster analysis based on the microbial communities’ compositions revealed that five samples shared similarity with the dominance of Meiothermus and Thermomonas. Two samples had the preponderant existence of Acidithiobacillus and Leptospirillum. The remaining sample owned higher microbial communities’ diversity with the Shannon-Weaver H up to 2.91. Canonical correlation analysis（CCA） suggested that microbial community structures had great association with p H and the concentration of Hg2＋, Pb2＋, Fe3＋, Cl-, SO2- 4in water.

关键词： acid mine drainage microbial community clone library geochemical variables

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