Environmental Biotechnology Laboratory, Genome Research Center, The Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Water Res. 2011 Oct 1;45(15):4390-8. doi: 10.1016/j.watres.2011.05.028. Epub 2011 May 31.
For full understanding of the microbial community in the wastewater treatment bioreactors, one of the feasible and effective ways is to investigate the massive genetic information contained in the activated sludge. In this study, high-throughput pyrosequencing was applied to analyze the 16S rRNA gene of bacteria in a laboratory-scale nitrification reactor and a full-scale wastewater treatment plant. In total, 27,458 and 26,906 effective sequence reads of the 16S rRNA gene were obtained from the Reactor and the wastewater treatment plant activated sludge samples respectively. The taxonomic complexities in the two samples were compared at phylum and genus levels. According to the pyrosequencing results, even for a laboratory-scale reactor as simple as that in this study, a small size clone library is far from enough to reflect the whole profile of the bacterial community. In addition, it was found that the commonly used informatics tool "RDP classifier" may drastically assign Nitrosomonas sequences into a wrong taxonomic unit resulting in underestimation of ammonia-oxidizing bacteria in the bioreactors. In this paper the reasons for this mistakenly assignment were analyzed and correction methods were proposed.
为了充分了解废水处理生物反应器中的微生物群落,一种可行且有效的方法是研究活性污泥中包含的大量遗传信息。在这项研究中,高通量焦磷酸测序被应用于分析实验室规模硝化反应器和全规模废水处理厂中细菌的 16S rRNA 基因。总共从反应器和废水处理厂活性污泥样品中获得了 27458 和 26906 条有效 16S rRNA 基因序列。在门和属水平上比较了两个样品的分类复杂性。根据焦磷酸测序结果,即使对于像本研究中那样简单的实验室规模反应器,一个小的克隆文库也远远不足以反映细菌群落的全貌。此外,研究还发现,常用的信息学工具“RDP 分类器”可能会将硝化单胞菌序列错误地分配到错误的分类单元,从而低估生物反应器中的氨氧化菌。本文分析了这种错误分配的原因,并提出了纠正方法。