Removal Efficacy of Opportunistic Pathogens and Bacterial Community Dynamics in Two Drinking Water Treatment Trains

Wang, Hong; Jiang, Xu; Tang, Wei; Li, Huan; Xia, Siqing; Zhao, Jianfu; Zhang, Wei‐xian; Yang, Yang

doi:10.1002/smll.201804436

Cited by 17 publications

(4 citation statements)

References 37 publications

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“…and Mycobacterium spp., are not completely removed by drinking water treatment processes. 45 In this study, a high FOD of Legionella (92.3%) in biofilms was observed, which was comparable to those found in drinking water in the same city. 21,46 In contrast with another study, a survey of Legionella in pipe biofilms obtained from a chloramine-containing DWDS in the United States showed that no Legionella spp.…”

Section: ■ Discussionsupporting

confidence: 83%

“…The keystone taxa play key roles in maintaining the stability of the biofilm community strucuture, and their disappearance may cause networks to disassemble . Nitrospirae was regarded as one of the core phyla in the biofilm microbiome, implying that N-related biological processes occur in biofilms. , The presence of Nitrospira in pipe biofilms may be related to residual nitrogenous compounds in upstream water. The use of disinfection, such as chlorine and chloramine, in water systems also may influence biofilm community structure.…”

Section: Discussionmentioning

confidence: 99%

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Biofilm Community Structures and Opportunistic Pathogen Gene Markers in Drinking Water Mains and the Role of Pipe Materials

Tang

Ling

et al. 2021

ACS EST Water

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Due to the difficulty of sampling, the characteristics of biofilm communities in drinking water mains are still poorly understood. In this study, 13 water mains were collected to investigate the occurrence of opportunistic pathogens, to explore the biofilm community structures, and to decipher the mechanisms of biofilm community assembly. The results showed high frequencies of detection of Legionella pneumophila, Acanthamoeba, and Vermamoeba vermiformis. The number of mycobacterial gene copies in ductile iron pipes (DIPs) was significantly higher than that in cast iron pipes (CIPs), indicating that pipe materials affected colonization by opportunistic pathogens. The biofilm samples were clearly clustered into two groups by pipe materials, highlighting the critical role of the pipe material in shaping biofilm communities. Furthermore, nitrifying bacteria were dominant in DIPs, while denitrifying bacteria were more abundant in CIPs than in DIPs. Overall, this work provides ecological insights into a poorly understood ecosystem.

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Section: ■ Discussionsupporting

confidence: 83%

Section: Discussionmentioning

confidence: 99%

Biofilm Community Structures and Opportunistic Pathogen Gene Markers in Drinking Water Mains and the Role of Pipe Materials

Tang

Ling

et al. 2021

ACS EST Water

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“…The top five most abundant families identified from the 3,821 OTUs were Burkholderiaceae, Sphingomonadaceae, unclassified Alphaproteobacteria, unclassified Corynebacteriales, and Mycobacteriaceae (descending order of number of OTUs in a family) (Supplementary Table 9). Mycobacteriaceae contains a single genus Mycobacterium which is an important drinking water opportunistic pathogen (Good, 1985;Marciano-Cabral et al, 2010;Lu et al, 2017;Wang et al, 2019;Zhang and Lu, 2021). For both cold and hot tap water, the relative abundance of Burkholderiaceae (one dominant family in drinking water and PPSs) (Zeng et al, 2013;Buse et al, 2014;Ferro et al, 2019;Vavourakis et al, 2020) and Xanthobacteraceae (associated with nitrogen fixation) (Oren, 2014) obviously dropped in the second draws (compared with the first draws) (Figure 3).…”

Section: The Bacterial Community Compositions Of Cold Tap Hot Tap and Shower Water Were Distinctmentioning

confidence: 99%

The Bacterial Community Diversity of Bathroom Hot Tap Water Was Significantly Lower Than That of Cold Tap and Shower Water

Zhang¹,

Qin

Struewing

et al. 2021

Front. Microbiol.

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Microbial drinking water quality in premise plumbing systems (PPSs) strongly affects public health. Bacterial community structure is the essential aspect of microbial water quality. Studies have elucidated the microbial community structure in cold tap water, while the microbial community structures in hot tap and shower water are poorly understood. We sampled cold tap, hot tap, and shower water from a simulated PPS monthly for 16 consecutive months and assessed the bacterial community structures in those samples via high-throughput sequencing of bacterial 16S rRNA genes. The total relative abundance of the top five most abundant phyla (Proteobacteria, Actinobacteria, Bacteroidetes, Cyanobacteria, and Firmicutes) was greater than 90% among the 24 identified phyla. The most abundant families were Burkholderiaceae, Sphingomonadaceae, unclassified Alphaproteobacteria, unclassified Corynebacteriales, and Mycobacteriaceae. A multiple linear regression suggests that the bacterial community diversity increased with water temperature and the age of the simulated PPS, decreased with total chlorine residual concentration, and had a limited seasonal variation. The bacterial community in hot tap water had significantly lower Shannon and Inverse Simpson diversity indices (p < 0.05) and thus a much lower diversity than those in cold tap and shower water. The paradoxical results (i.e., diversity increased with water temperature, but hot tap water bacterial community was less diverse) were presumably because (1) other environmental factors made hot tap water bacterial community less diverse, (2) the diversity of bacterial communities in all types of water samples increased with water temperature, and (3) the first draw samples of hot tap water could have a comparable or even lower temperature than shower water samples and the second draw samples of cold tap water. In both a three-dimensional Non-metric multidimensional scaling ordination plot and a phylogenetic dendrogram, the samples of cold tap and shower water cluster and are separate from hot tap water samples (p < 0.05). In summary, the bacterial community in hot tap water in the simulated PPS had a distinct structure from and a much lower diversity than those in cold tap and shower water.

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“…Among these microorganisms are some waterborne pathogens or opportunistic pathogens such as Legionella and Mycobacterium species, which pose a public health risk as they cause infectious diseases [16]. Previous studies have evaluated bacterial and fungal diversity at various stages in conventional water treatment processes [17,18], have elucidated spatiotemporal changes in bacterial communities [19,20], and have investigated the occurrence of pathogenic microorganisms in drinking water systems [21]. For example, Tiwari et al analyzed the spatial and seasonal dynamics of bacterial communities within the Kokemäenjoki River watershed [20].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Extreme Weather Events on Bacterial Communities and Opportunistic Pathogens in a Drinking Water Treatment Plant

Tang

Liu

et al. 2021

Water

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Drinking water treatment processes are highly effective at improving water quality, but pathogens can still persist in treated water, especially after extreme weather events. To identify how extreme weather events affected bacterial populations in source and treated water, water samples were collected from the Yangtze River Delta area and a local full-scale drinking water treatment plant. Bacterial community structure and the occurrence of pathogens were investigated in samples using 16S rRNA sequencing and qPCR techniques. In this study, the results show that intense rainfall can significantly increase levels of bacteria and opportunistic pathogens in river and drinking water treatment processes (p < 0.05); in particular, the relative abundance of Cyanobacteria increased after a super typhoon event (p < 0.05). The biological activated carbon (BAC) tank was identified as a potential pathogen reservoir and was responsible for 52 ± 6% of the bacteria released downstream, according to Bayesian-based SourceTracker analysis. Our results provide an insight into the challenges faced by maintaining finished water quality under changing weather conditions.

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Removal Efficacy of Opportunistic Pathogens and Bacterial Community Dynamics in Two Drinking Water Treatment Trains

Abstract: Figure 4. Two trains of drinking water treatment processes. The symbol ( ) indicates sampling locations of water samples. Train I and II used the same water source. 1804436 (10 of 10) www.advancedsciencenews.com

Cited by 17 publications

References 37 publications

Biofilm Community Structures and Opportunistic Pathogen Gene Markers in Drinking Water Mains and the Role of Pipe Materials

Biofilm Community Structures and Opportunistic Pathogen Gene Markers in Drinking Water Mains and the Role of Pipe Materials

The Bacterial Community Diversity of Bathroom Hot Tap Water Was Significantly Lower Than That of Cold Tap and Shower Water

The Impact of Extreme Weather Events on Bacterial Communities and Opportunistic Pathogens in a Drinking Water Treatment Plant

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