Long-term spatial and temporal microbial community dynamics in a large-scale drinking water distribution system with multiple disinfectant regimes

Potgieter, Sarah; Pinto, Ameet J.; Sigudu, Makhosazana; Preez, Hein du; Ncube, Esper Jacobeth; Venter, Stephanus N.

doi:10.1016/j.watres.2018.03.077

Cited by 99 publications

(98 citation statements)

References 55 publications

(72 reference statements)

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“…Chlorination significantly reduces bacterial cell concentrations and has a substantial influence on community composition and structure (Eichler et al ., 2006; Poitelon et al ., 2010; Wang et al ., 2014a; Lin et al ., 2014; Prest et al ., 2016; Potgieter et al ., 2018). While pre-chlorination microbial communities were similar between the two DWTPs, the microbial community composition and structure in both systems were highly dissimilar post-chlorination.…”

Section: Discussionmentioning

confidence: 99%

“…This dissimilarity was also observed on a temporal scale, where chlorinated samples showed differing temporal trends and increased temporal variability. Here, the system level dynamics at the point of disinfection may be stronger than the temporal dynamics and therefore drives the microbial community composition and structure at these locations (Potgieter et al ., 2018).…”

Section: Discussionmentioning

confidence: 99%

“…Collected water samples were filtered to harvest microbial cells followed by phenol:chloroform DNA extraction as described by Potgieter et al ., 2018.…”

Section: Methodsmentioning

confidence: 99%

“…Previous studies have shown that the drinking water microbiome is considerably impacted by the choice of treatment strategy and distribution (Pinto et al ., 2012; Bautista-de los Santos et al ., 2016; Prest et al ., 2016; Potgieter et al ., 2018; Zhang et al ., 2017). Here, treatment and distribution processes may be considered as ecological disturbances implemented sequentially on the microbiome continuum within drinking water (Zhang et al ., 2017).…”

Section: Introductionmentioning

confidence: 99%

“…In such cases, water treatment may involve multiple barriers and extensive biofiltration with the focus on nutrient removal (Hammes et al ., 2010; Lautenschlager et al ., 2013). However, in the cases where disinfection is used, it is well established that it significantly reduces microbial numbers and alters the microbial community composition and abundance (Gomez-Alvarez et al ., 2012; Hwang et al ., 2012; Prest et al ., 2016; Potgieter et al ., 2018). Despite these methods to reduce/limit microbial numbers, microbes persist and form indigenous inhabitants of the distribution system despite low nutrient levels and disinfectant residuals.…”

Section: Introductionmentioning

confidence: 99%

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Reproducible microbial community dynamics of two drinking water systems treating similar source waters

Potgieter

Pinto²,

Havenga

et al. 2019

Preprint

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26In addition to containing higher concentrations of organics and bacterial cells, 27 surface waters are often more vulnerable to pollution and microbial contamination 28 with intensive industrial and agricultural activities frequently occurring in areas 29 surrounding the water source. Therefore, surface waters typically require additional 30 treatment, where the choice of treatment strategy is critical for water quality. Using 31 16S rRNA gene profiling, this study provides a unique opportunity to simultaneously 32 investigate and compare two drinking water treatment plants and their 33 corresponding distribution systems. The two treatment plants treat similar surface 34 waters, from the same river system, with the same sequential treatment strategies. 35 Here, the impact of treatment and distribution on the microbial community within and 36 between each system was compared over an eight-month sampling campaign. 37 Overall, reproducible spatial and temporal dynamics within both DWTPs and their 38 corresponding DWDSs were observed. Although source waters showed some 39 dissimilarity in microbial community structure and composition, pre-disinfection 40 treatments (i.e. coagulation, flocculation, sedimentation and filtration) resulted in 41 highly similar microbial communities between the filter effluent samples. This 42 indicated that the same treatments resulted in the development of similar microbial 43 communities. Conversely, post-disinfection (i.e. chlorination and chloramination) 44 resulted in increased dissimilarity between disinfected samples from the two 45 systems, showing alternative responses of the microbial community to disinfection. 46 Lastly, it was observed that within the distribution system the same dominant taxa 47 were selected where samples increased in similarity with increased residence time. 48 Although, differences were found between the two systems, overall treatment and 49 distribution had a similar impact on the microbial community in each system. This 50 study therefore provides valuable information on the impact of treatment and 51 distribution on the drinking water microbiome. 52 53 Keywords: drinking water treatment; drinking water distribution; disinfection; 54 microbial community dynamics; Illumina MiSeq. 55 56 Highlights 57  Source waters show some dissimilarity in microbial community. 58  Treatment processes increases similarity and selects for the same dominant 59 taxa. 60  Differential response to chlorination causing increased dissimilarity and 61 variation. 62  Stabilisation of DWDS microbial community through selection of same 63 dominant taxa. 64  Microbial community dynamics are reproducible between the two systems. 65 66 Abbreviations 67 DWDS, drinking water distribution system; DWTP, drinking water treatment plant; 68 DADA2, Divisive Amplicon Denoising Algorithm; ASV, amplicon sequence variant; 69 AMOVA, analysis of molecular variance; MRA, mean relative abundance; PCoA, 70 Principal coordinate analysis; ANOVA, One-way analysis of varianc...

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…Collected water samples were filtered to harvest microbial cells followed by phenol:chloroform DNA extraction as described by Potgieter et al ., 2018.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reproducible microbial community dynamics of two drinking water systems treating similar source waters

Potgieter

Pinto²,

Havenga

et al. 2019

Preprint

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Biofilm Formation in Water Supply Pipes

Xiao¹,

Waheed²

2019

Encyclopedia of Water

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Biofilm formation in water supply pipes is ubiquitous despite the practice of keeping a certain level of disinfectant residual. Biofilms in water supply pipes play a dominant role in shaping the microbial community and governing the microbial quality of tap water. However, this role has long been overlooked largely due to the unavailability of in situ biofilm monitoring tools and complexity of biofilm ecology. Recent development in molecular biology techniques has opened up a new window for biofilm studies, and thus sparked a new boom in research on biofilms in water supply pipes. This article introduces the new knowledge of occurrence and significance of biofilms in water supply pipes, their impacts on water quality and relationships with pipe corrosion. Then the factors affecting biofilm formation and methods to control it are elaborated. Furthermore, new insights into the microbial ecology of biofilms are presented, which include the dominant microorganisms and their potential roles in biofilms, the diversity and richness of the microbial communities, etc. At the end, future perspectives of research on biofilms in water supply pipes are discussed.

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Charting the landscape of the environmental exposome

Wei

Huang

Jiang

et al. 2022

iMeta

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The exposome depicts the total exposures in the lifetime of an organism. Human exposome comprises exposures from environmental and humanistic sources. Biological, chemical, and physical environmental exposures pose potential health threats, especially to susceptible populations. Although still in its nascent stage, we are beginning to recognize the vast and dynamic nature of the exposome. In this review, we systematically summarize the biological and chemical environmental exposomes in three broad environmental matrices—air, soil, and water; each contains several distinct subcategories, along with a brief introduction to the physical exposome. Disease‐related environmental exposures are highlighted, and humans are also a major source of disease‐related biological exposures. We further discuss the interactions between biological, chemical, and physical exposomes. Finally, we propose a list of outstanding challenges under the exposome research framework that need to be addressed to move the field forward. Taken together, we present a detailed landscape of environmental exposome to prime researchers to join this exciting new field.

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Long-term spatial and temporal microbial community dynamics in a large-scale drinking water distribution system with multiple disinfectant regimes

Cited by 99 publications

References 55 publications

Reproducible microbial community dynamics of two drinking water systems treating similar source waters

Reproducible microbial community dynamics of two drinking water systems treating similar source waters

Biofilm Formation in Water Supply Pipes

Charting the landscape of the environmental exposome

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