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首页> 外文期刊>Polish Journal of Environmental Studies >MiSeq Sequencing Analysis of Bacterial Community Structures in Wastewater Treatment Plants
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MiSeq Sequencing Analysis of Bacterial Community Structures in Wastewater Treatment Plants

机译:污水处理厂细菌群落结构的MiSeq测序分析

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The bacterial communities of activated sludge from nine wastewater treatment plants (WWTPs) located in three cities in China were examined using high-throughput MiSeq sequencing. The results showed that there were 57 genera of bacterial populations commonly shared by all nine systems, including Ferruginibacter, Dechloromonas, Zoogloea, Gp4, Gp6, etc., indicating that there was a core microbial community in the microbial populations of WWTPs at different geographic locations. Canonical correspondence analysis (CCA) results indicated that the bacterial community variance correlated most strongly with water temperature, dissolved oxygen (DO), concentrations of chemical oxygen demand (COD), and solids retention time (SRT). Variance partitioning analyses suggested that wastewater characteristics had the greatest contribution to the bacterial community variance, explaining 21% of the variance of bacterial communities independently, followed by operational parameters (17%), and geographic location (11%). This study provided insights into the diversity and bacterial community structures in geographically distributed WWTPs.
机译:使用高通量MiSeq测序技术对来自中国三个城市的9个废水处理厂(WWTP)的活性污泥细菌群落进行了检测。结果表明,所有九种系统共有细菌属的57个属,包括费氏杆菌,脱氯单胞菌,动球菌,Gp4,Gp6等,这表明不同地理位置的污水处理厂的微生物种群中都有一个核心微生物群落。 。典型对应分析(CCA)结果表明,细菌群落变异与水温,溶解氧(DO),化学需氧量(COD)浓度和固体保留时间(SRT)密切相关。方差划分分析表明,废水特征对细菌群落变异的影响最大,分别解释了21%的细菌群落变异,其次是操作参数(17%)和地理位置(11%)。这项研究提供了对地理分布的污水处理厂中多样性和细菌群落结构的见解。

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