Environmental Simulation and Pollution Control State Key Joint Laboratory, School of Environment, Tsinghua University, Beijing, China.
Appl Environ Microbiol. 2012 Oct;78(19):7042-7. doi: 10.1128/AEM.01617-12. Epub 2012 Jul 27.
To determine if there is a core microbial community in the microbial populations of different wastewater treatment plants (WWTPs) and to investigate the effects of wastewater characteristics, operational parameters, and geographic locations on microbial communities, activated sludge samples were collected from 14 wastewater treatment systems located in 4 cities in China. High-throughput pyrosequencing was used to examine the 16S rRNA genes of bacteria in the wastewater treatment systems. Our results showed that there were 60 genera of bacterial populations commonly shared by all 14 samples, including Ferruginibacter, Prosthecobacter, Zoogloea, Subdivision 3 genera incertae sedis, Gp4, Gp6, etc., indicating that there is a core microbial community in the microbial populations of WWTPs at different geographic locations. The canonical correspondence analysis (CCA) results showed that the bacterial community variance correlated most strongly with water temperature, conductivity, pH, and dissolved oxygen (DO) content. Variance partitioning analyses suggested that wastewater characteristics had the greatest contribution to the bacterial community variance, explaining 25.7% of the variance of bacterial communities independently, followed by operational parameters (23.9%) and geographic location (14.7%). Results of this study provided insights into the bacterial community structure and diversity in geographically distributed WWTPs and discerned the relationships between bacterial community and environmental variables in WWTPs.
为了确定不同污水处理厂(WWTP)的微生物群体中是否存在核心微生物群落,并研究废水特性、运行参数和地理位置对微生物群落的影响,从中国 4 个城市的 14 个污水处理系统中采集了活性污泥样本。采用高通量焦磷酸测序技术检测了污水处理系统中细菌的 16S rRNA 基因。结果表明,在所有 14 个样本中共有 60 个细菌种群,包括 Ferruginibacter、Prosthecobacter、Zoogloea、未确定的亚目 3 属、Gp4、Gp6 等,表明不同地理位置的 WWTP 微生物群体中存在核心微生物群落。典范对应分析(CCA)结果表明,细菌群落的变异与水温、电导率、pH 值和溶解氧(DO)含量相关性最强。方差分解分析表明,废水特性对细菌群落变异的贡献最大,独立解释了 25.7%的细菌群落变异,其次是运行参数(23.9%)和地理位置(14.7%)。本研究结果深入了解了地理分布的 WWTP 中的细菌群落结构和多样性,并识别了 WWTP 中细菌群落与环境变量之间的关系。