军团菌
嗜肺军团菌
微生物学
棘阿米巴
生物膜
生物
水处理
微生物
细菌
过滤(数学)
病菌
环境工程
环境科学
数学
遗传学
统计
作者
Hong Wang,Jiajiong Xu,Wei Tang,Huan Li,Siqing Xia,Jianfu Zhao,Wei‐xian Zhang,Yang Yang
出处
期刊:Small
[Wiley]
日期:2018-12-07
卷期号:15 (2)
被引量:21
标识
DOI:10.1002/smll.201804436
摘要
Abstract Drinking water treatment processes (DWTPs) impact pathogen colonization and microbial communities in finished water; however, their efficacies against opportunistic pathogens are not fully understood. In this study, the effects of treatment steps on the removal of Legionella spp., Legionella pneumophila , nontuberculous mycobacteria, Mycobacterium avium , and two amoeba hosts ( Vermamoeba vermiformis , Acanthamoeba ) are evaluated in two parallel trains of DWTPs equipped with different pretreatment units. Quantitative polymerase chain reaction analysis demonstrates significantly reduced numbers of total bacteria, Legionella , and mycobacteria during ozonation, followed by a rebound in granular activated carbon (GAC) filtration, whereas sand filtration exerts an overarching effect in removing microorganisms in both treatment trains. V. vermiformis is more prevalent in biofilm (34%) than water samples (7.7%), while Acanthamoeba is not found in the two trains of DWTPs. Illumina sequencing of bacterial 16S rRNA genes reveals significant community shifts at different treatment steps, as well as distinct bacterial community structures in water and biofilm samples in parallel units (e.g., ozonation, GAC, sand filtration) between the two trains (analysis of similarities (ANOSIM), p < 0.05), implying the potential influence of different pretreatment steps in shaping the downstream microbiome. Overall, the results provide insights to mitigation of opportunistic pathogens and engineer approaches for managing bacterial communities in DWTPs.
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