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The effect of heavy metal contamination on the bacterial community structure at Jiaozhou Bay China

机译:重金属污染对胶州湾细菌群落结构的影响

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摘要

In this study, determination of heavy metal parameters and microbiological characterization of marine sediments obtained from two heavily polluted sites and one low-grade contaminated reference station at Jiaozhou Bay in China were carried out. The microbial communities found in the sampled marine sediments were studied using PCR-DGGE (denaturing gradient gel electrophoresis) fingerprinting profiles in combination with multivariate analysis. Clustering analysis of DGGE and matrix of heavy metals displayed similar occurrence patterns. On this basis, 17 samples were classified into two clusters depending on the presence or absence of the high level contamination. Moreover, the cluster of highly contaminated samples was further classified into two sub-groups based on the stations of their origin. These results showed that the composition of the bacterial community is strongly influenced by heavy metal variables present in the sediments found in the Jiaozhou Bay. This study also suggested that metagenomic techniques such as PCR-DGGE fingerprinting in combination with multivariate analysis is an efficient method to examine the effect of metal contamination on the bacterial community structure.
机译:本研究对胶州湾两个污染严重的地点和一个低品位污染基准站的海洋沉积物进行了重金属参数测定和微生物学表征。利用PCR-DGGE(变性梯度凝胶电泳)指纹图谱与多变量分析相结合,对采样的海洋沉积物中发现的微生物群落进行了研究。 DGGE和重金属基质的聚类分析显示相似的发生模式。在此基础上,根据高水平污染的存在与否,将17个样品分为两个类。此外,根据污染源的来源,将高度污染的样品组进一步分为两个子组。这些结果表明,在胶州湾发现的沉积物中存在的重金属变量强烈影响细菌群落的组成。这项研究还表明,宏基因组学技术(例如PCR-DGGE指纹分析与多变量分析相结合)是一种有效的方法,可以检查金属污染对细菌群落结构的影响。

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