| 矿山废水中微生物生态多样性研究 |
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| 引用本文： | 谢学辉,肖升木,柳建设.矿山废水中微生物生态多样性研究[J].微生物学通报,2009,36(4):0528-0537. |
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| 作者姓名： | 谢学辉 肖升木 柳建设 |
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| 作者单位： | 1. 东华大学环境科学与工程学院,上海,201620
2. 东华大学环境科学与工程学院,上海,201620;中南大学资源加工与生物工程学院,湖南,长沙,410083 |
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| 基金项目： | 国家973项目课题(No. 2004CB619204); 全国优秀博士学位论文作者专项资金资助项目(No. 200549); 自然科学基金项目(No. 50874032); 上海市重点学科建设项目(No. B604); 上海同济高廷耀环保科技发展基金资助 |
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| 摘 要： | 从湖北铜绿山铜矿和山西中条山铜矿两地采集了矿山废水样品, 用RFLP方法(限制性片段长度多态性方法)分析不同矿山废水中微生物多样性及其群落结构组成变化。结果发现：通过16S rDNA基因序列的系统发育树分析, 在5个矿山废水样品中检测到的细菌主要分为4大类：即Proteobacteria纲、Nitrospira纲、Firmicutes纲和Bacteroidetes纲。通过对古菌16S rDNA 的PCR分析发现, 取自湖北铜绿山铜矿的样品中检测到古菌的存在, 而取自山西中条山铜矿的样品中没有检测到古菌的存在。检测到的古菌主要是属于Ferroplasma属和Thermoplasma属。结合5个矿山废水样品的化学元素分析结果和细菌群落结构数据, 进行PCA分析(主成分分析), 发现不同矿山废水样品的生物地球化学性质及其微生物组成存在很大差异, pH值、温度、不同浓度的元素如S、Cu、Ni和Co可能是形成细菌种群结构差异的关键因素。
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| 关 键 词： | RFLP 矿山废水 微生物生态多样性 |
Diversity of Microbial Communities in Waste Mining Water |
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| XIE Xue-Hui,XIAO Sheng-Mu and LIU Jian-She.Diversity of Microbial Communities in Waste Mining Water[J].Microbiology,2009,36(4):0528-0537. |
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| Authors: | XIE Xue-Hui XIAO Sheng-Mu and LIU Jian-She |
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| Institution: | School of Environmental Science & Engineering, Donghua University, Shanghai, 201620, China;School of Environmental Science & Engineering, Donghua University, Shanghai, 201620, China;(1. School of Environmental Science & Engineering, Donghua University, Shanghai, 201620, China) (2. School of Resources Processing and Bioengineering, Central South University, Changsha, Hunan 410083, China) |
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| Abstract: | The composition of microbial communities in five waste mining water samples (from Tong lvshan copper mine, Hubei province, and Zhong tiaoshan copper mine, Shanxi province) were studied, using culture-independent 16S rDNA based cloning approach-restriction fragment length polymorphism (RFLP) analysis method. Phylogenetic analysis revealed that the bacteria in these five samples fell into 4 major groups: Proteobacteria, Nitrospira, Firmicutes and Bacteroidetes. Archaea were only detected in samples from Tong lvshan copper mine. Thermoplasma and Ferroplasma lineages were detected abundantly in these two samples. Meanwhile, the results of Principal Component Analysis (PCA) revealed that biogeochemical properties affected the diversity of microbial communities in mine water. The pH, temperature and different concentrations of elements such as S, Ni, Co and Cu seemed to be key factors resulting in the diverse distribution of microbes among water samples in this study. |
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| Keywords: | RFLP Waste mining water Diversity of microbial communities |
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