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污水处理厂中的病原细菌:454 焦磷酸测序研究结果

Pathogenic bacteria in sewage treatment plants as revealed by 454 pyrosequencing.

机构信息

Environmental Biotechnology Lab, The University of Hong Kong, Hong Kong SAR, China.

出版信息

Environ Sci Technol. 2011 Sep 1;45(17):7173-9. doi: 10.1021/es201045e. Epub 2011 Aug 3.

Abstract

This study applied 454 high-throughput pyrosequencing to analyze potentially pathogenic bacteria in activated sludge from 14 municipal wastewater treatment plants (WWTPs) across four countries (China, U.S., Canada, and Singapore), plus the influent and effluent of one of the 14 WWTPs. A total of 370,870 16S rRNA gene sequences with average length of 207 bps were obtained and all of them were assigned to corresponding taxonomic ranks by using RDP classifier and MEGAN. It was found that the most abundant potentially pathogenic bacteria in the WWTPs were affiliated with the genera of Aeromonas and Clostridium. Aeromonas veronii, Aeromonas hydrophila, and Clostridium perfringens were species most similar to the potentially pathogenic bacteria found in this study. Some sequences highly similar (>99%) to Corynebacterium diphtheriae were found in the influent and activated sludge samples from a saline WWTP. Overall, the percentage of the sequences closely related (>99%) to known pathogenic bacteria sequences was about 0.16% of the total sequences. Additionally, a platform-independent Java application (BAND) was developed for graphical visualization of the data of microbial abundance generated by high-throughput pyrosequencing. The approach demonstrated in this study could examine most of the potentially pathogenic bacteria simultaneously instead of one-by-one detection by other methods.

摘要

本研究应用 454 高通量焦磷酸测序技术分析了来自中国、美国、加拿大和新加坡的 14 个城市污水处理厂(WWTP)以及其中一个 WWTP 的进水和出水的活性污泥中的潜在致病细菌。共获得 370870 条平均长度为 207bp 的 16S rRNA 基因序列,并通过 RDP 分类器和 MEGAN 将它们全部分配到相应的分类等级。结果发现,WWTP 中最丰富的潜在致病细菌与气单胞菌属和梭菌属有关。韦荣球菌、嗜水气单胞菌和产气荚膜梭菌是与本研究中发现的潜在致病细菌最相似的物种。在一个盐度 WWTP 的进水和活性污泥样本中发现了一些与白喉棒状杆菌高度相似(>99%)的序列。总体而言,与已知致病菌序列密切相关(>99%)的序列百分比约为总序列的 0.16%。此外,还开发了一个独立于平台的 Java 应用程序(BAND),用于可视化高通量焦磷酸测序产生的微生物丰度数据。本研究中采用的方法可以同时检测大多数潜在致病细菌,而不是其他方法逐一检测。

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