Microbial community diversity and changes associated with a mine drainage gradient at the Dexing copper mine, China
Microbial community diversity and changes associated with a mine drainage gradient at the Dexing copper mine, China
复制标题
中国德兴铜矿微生物群落多样性及与矿井排水梯度相关的变化
DOI：
10.3354/ame01172
复制
发表时间：
2008-04
影响因子：
1.4
通讯作者：
Qiu, Guanzhou
中科院分区：
文献类型：
--
作者：
Liu, Xueduan;Wang, Dianzuo;Zhou, Jizhong;Cao, Linhui;Yin, Huaqun;Kellogg, Laurie;Xie, Ming;Wu, Liyou;Dai, Zhimin;Qiu, Guanzhou
在中国最大的露天铜矿之一的德兴铜矿的6个采样点采集了水样。每个相应的栖息地都表现出不同的地球化学特征，使我们能够将微生物群落结构与环境条件联系起来。我们使用基于聚合酶链式反应的克隆方法检测了这些地点水样中16S rRNA基因的分子多样性。从筛选的814个克隆中获得了68个可操作的16S rRNA基因分类单位。测序克隆分为5个主要的系统发育区。大多数克隆(79.1%)属于革兰氏变态杆菌(60%)、酸性细菌(8.8%)和硝酸螺旋菌(10.3%)。然而，这些地点的微生物群落组成存在很大差异。此外，不同地点的环境变量差异很大，铁、硫和钙浓度是与微生物群落组成显著相关的变量，表明Fe2+、S和钙可能是影响微生物群落结构的驱动因素。PH值与2个采样点的微生物群落组成也呈显著正相关。
Water samples were collected from 6 sites in the Dexing copper mine, one of the largest open-cast copper mines in China. Each corresponding habitat exhibited distinct geochemical characteristics allowing us to correlate microbial community structure to environmental conditions. We examined the molecular diversity of 16S rRNA genes in water samples from these sites using a PCR-based cloning approach. A total of 68 operational taxonomic units of 16S rRNA genes from 814 screened clones were obtained. The sequenced clones fell into 5 main phylogenetic divisions. The majority (79.1 %) of the clones were affiliated with the Gammaproteobacteria (60%), Acidobacteria (8.8%) and Nitrospira (10.3%). However, these sites showed great differences in composition of microbial communities. Moreover, the environmental variables differed greatly across sites; iron, sulfur and calcium concentrations were the variables significantly correlated to the microbial community composition, indicating that Fe 2+ , S and Ca are possible drivers in shaping microbial community structure. pH was also significantly correlated to microbial community composition at 2 sites.
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影响因子：
4.4
作者：
K. Edwards;T. Gihring;J. Banfield
通讯作者：
K. Edwards;T. Gihring;J. Banfield
影响因子：
4.7
作者：
Hallberg, KB;Johnson, DB
通讯作者：
Johnson, DB
影响因子：
4.8
作者：
BORCARD, D;LEGENDRE, P;DRAPEAU, P
通讯作者：
DRAPEAU, P
影响因子：
3.6
作者：
A. López-Archilla;Irma Marín;Ricardo Amils
通讯作者：
A. López-Archilla;Irma Marín;Ricardo Amils
影响因子：
4.4
作者：
Bond, PL;Druschel, GK;Banfield, JF
通讯作者：
Banfield, JF