Bacterial communities in different sections of a municipal wastewater treatment plant revealed by 16S rDNA 454 pyrosequencing.

Bacterial communities in different sections of a municipal wastewater treatment plant revealed by 16S rDNA 454 pyrosequencing.
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DOI:
10.1007/s00253-012-4082-4
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发表时间:
2013-03
影响因子:
5
通讯作者:
Zhang, Tong
Zhang, Tong
中科院分区:
工程技术2区
文献类型:
--
作者:
Ye, Lin;Zhang, Tong

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在这项研究中,我们成功地证明了454焦磷酸测序是一个强大的方法,用于调查细菌群落的活性污泥,消化污泥,进水和污水样品的全面污水处理厂处理含盐污水。对于每个样品,选择18,808个有效序列并用于进行细菌多样性和丰度分析。在活性污泥、消化污泥、流入物和流出物样品中,在3%的距离截止值处分别获得总共2,455,794,1,667和1,932个操作分类单元。在四个样品中相应的最主要的类是Alphaproteobacteria、Thermotogae、Deltaproteobacteria和Gammaproteobacteria。消化污泥样品中约67%的序列属于嗜热菌目.此外,这些序列被分配到最近提出的属Kosmotoga的核糖体数据库项目分类器。在出水样品中,我们发现了高丰度的分枝杆菌和弧菌,这是含有致病菌的属。此外,在本研究中,我们提出了一种方法来区分“基因百分比”和“细胞百分比”,利用核糖体RNA操纵子拷贝数数据库。本文的在线版本(doi:10.1007/s 00253 -012-4082-4)包含补充材料,可供授权用户使用。
In this study, we successfully demonstrated that 454 pyrosequencing was a powerful approach for investigating the bacterial communities in the activated sludge, digestion sludge, influent, and effluent samples of a full scale wastewater treatment plant treating saline sewage. For each sample, 18,808 effective sequences were selected and utilized to do the bacterial diversity and abundance analysis. In total, 2,455, 794, 1,667, and 1,932 operational taxonomic units were obtained at 3 % distance cutoff in the activated sludge, digestion sludge, influent, and effluent samples, respectively. The corresponding most dominant classes in the four samples are Alphaproteobacteria, Thermotogae, Deltaproteobacteria, and Gammaproteobacteria. About 67 % sequences in the digestion sludge sample were found to be affiliated with the Thermotogales order. Also, these sequences were assigned into a recently proposed genus Kosmotoga by the Ribosomal Database Project classifier. In the effluent sample, we found high abundance of Mycobacterium and Vibrio, which are genera containing pathogenic bacteria. Moreover, in this study, we proposed a method to differentiate the “gene percentage” and “cell percentage” by using Ribosomal RNA Operon Copy Number Database. The online version of this article (doi:10.1007/s00253-012-4082-4) contains supplementary material, which is available to authorized users.
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