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污染海床沉积物中的细菌群落:在里窝那港进行的分子生物学分析

Bacterial communities in polluted seabed sediments: a molecular biology assay in Leghorn Harbor.

作者信息

Chiellini Carolina, Iannelli Renato, Verni Franco, Petroni Giulio

机构信息

Department of Biology, Unit of Protistology-Zoology, University of Pisa, via Luca Ghini 13, 56126 Pisa, Italy.

出版信息

ScientificWorldJournal. 2013 Oct 8;2013:165706. doi: 10.1155/2013/165706. eCollection 2013.

Abstract

Seabed sediments of commercial ports are often characterized by high pollution levels. Differences in number and distribution of bacteria in such areas can be related to distribution of pollutants in the port and to sediment conditions. In this study, the bacterial communities of five sites from Leghorn Harbor seabed were characterized, and the main bacterial groups were identified. T-RFLP was used for all samples; two 16S rRNA libraries and in silico digestion of clones were used to identify fingerprint profiles. Library data, phylogenetic analysis, and T-RFLP coupled with in silico digestion of the obtained sequences evidenced the dominance of Proteobacteria and the high percentage of Bacteroidetes in all sites. The approach highlighted similar bacterial communities between samples coming from the five sites, suggesting a modest differentiation among bacterial communities of different harbor seabed sediments and hence the capacity of bacterial communities to adapt to different levels and types of pollution.

摘要

商业港口的海底沉积物通常具有高污染水平的特征。此类区域细菌数量和分布的差异可能与港口污染物的分布以及沉积物条件有关。在本研究中,对来航港海底五个位点的细菌群落进行了特征描述,并鉴定了主要细菌类群。所有样本均采用末端限制性片段长度多态性分析(T-RFLP);使用两个16S rRNA文库以及对克隆进行电子消化来鉴定指纹图谱。文库数据、系统发育分析以及T-RFLP结合对所得序列的电子消化证明了变形菌门在所有位点的优势地位以及拟杆菌门的高比例。该方法突出了来自五个位点的样本之间相似的细菌群落,表明不同港口海底沉积物的细菌群落之间差异不大,因此细菌群落有能力适应不同水平和类型的污染。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/957e/3817660/13fd26e93a82/TSWJ2013-165706.001.jpg

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