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采用 Illumina 高通量测序技术揭示钢铁行业焦化废水处理厂的细菌群落组成。

Bacterial community compositions of coking wastewater treatment plants in steel industry revealed by Illumina high-throughput sequencing.

机构信息

Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China.

Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China.

出版信息

Bioresour Technol. 2015 Mar;179:436-443. doi: 10.1016/j.biortech.2014.12.041. Epub 2014 Dec 19.

Abstract

In this study, Illumina high-throughput sequencing was used to reveal the community structures of nine coking wastewater treatment plants (CWWTPs) in China for the first time. The sludge systems exhibited a similar community composition at each taxonomic level. Compared to previous studies, some of the core genera in municipal wastewater treatment plants such as Zoogloea, Prosthecobacter and Gp6 were detected as minor species. Thiobacillus (20.83%), Comamonas (6.58%), Thauera (4.02%), Azoarcus (7.78%) and Rhodoplanes (1.42%) were the dominant genera shared by at least six CWWTPs. The percentages of autotrophic ammonia-oxidizing bacteria and nitrite-oxidizing bacteria were unexpectedly low, which were verified by both real-time PCR and fluorescence in situ hybridization analyses. Hierarchical clustering and canonical correspondence analysis indicated that operation mode, flow rate and temperature might be the key factors in community formation. This study provides new insights into our understanding of microbial community compositions and structures of CWWTPs.

摘要

本研究首次采用 Illumina 高通量测序技术揭示了中国 9 座焦化废水处理厂(CWWTP)的群落结构。污泥系统在各个分类水平上表现出相似的群落组成。与先前的研究相比,一些在城市污水处理厂中作为核心属的物种,如 Zoogloea、Prosthecobacter 和 Gp6,在本研究中被检测为次要物种。Thiobacillus(20.83%)、Comamonas(6.58%)、Thauera(4.02%)、Azoarcus(7.78%)和 Rhodoplanes(1.42%)是至少 6 座 CWWTP 共有的优势属。令人意外的是,自养氨氧化菌和亚硝酸盐氧化菌的比例非常低,实时 PCR 和荧光原位杂交分析也验证了这一点。层次聚类和典范对应分析表明,运行模式、流量和温度可能是群落形成的关键因素。本研究为我们理解 CWWTP 的微生物群落组成和结构提供了新的视角。

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