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Drinking water microbiome assembly induced by water stagnation

What happens to tap water when you are away from home? Day-to-day water stagnation in building plumbing can potentially result in water quality deterioration (e.g., lead release or pathogen proliferation), which is a major public health concern. However, little is known about the microbial ecosystem...

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Autores principales: Ling, Fangqiong, Whitaker, Rachel, LeChevallier, Mark W., Liu, Wen-Tso
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5955952/
https://www.ncbi.nlm.nih.gov/pubmed/29588495
http://dx.doi.org/10.1038/s41396-018-0101-5
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author Ling, Fangqiong
Whitaker, Rachel
LeChevallier, Mark W.
Liu, Wen-Tso
author_facet Ling, Fangqiong
Whitaker, Rachel
LeChevallier, Mark W.
Liu, Wen-Tso
author_sort Ling, Fangqiong
collection PubMed
description What happens to tap water when you are away from home? Day-to-day water stagnation in building plumbing can potentially result in water quality deterioration (e.g., lead release or pathogen proliferation), which is a major public health concern. However, little is known about the microbial ecosystem processes in plumbing systems, hindering the development of biological monitoring strategies. Here, we track tap water microbiome assembly in situ, showing that bacterial community composition changes rapidly from the city supply following ~6-day stagnation, along with an increase in cell count from 10(3) cells/mL to upwards of 7.8 × 10(5) cells/mL. Remarkably, bacterial community assembly was highly reproducible in this built environment system (median Spearman correlation between temporal replicates = 0.78). Using an island biogeography model, we show that neutral processes arising from the microbial communities in the city water supply (i.e., migration and demographic stochasticity) explained the island community composition in proximal pipes (Goodness-of-fit = 0.48), yet declined as water approached the faucet (Goodness-of-fit = 0.21). We developed a size-effect model to simulate this process, which indicated that pipe diameter drove these changes by mediating the kinetics of hypochlorite decay and cell detachment, affecting selection, migration, and demographic stochasticity. Our study challenges current water quality monitoring practice worldwide which ignore biological growth in plumbing, and suggests the island biogeography model as a useful framework to evaluate building water system quality.
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spelling pubmed-59559522018-05-17 Drinking water microbiome assembly induced by water stagnation Ling, Fangqiong Whitaker, Rachel LeChevallier, Mark W. Liu, Wen-Tso ISME J Article What happens to tap water when you are away from home? Day-to-day water stagnation in building plumbing can potentially result in water quality deterioration (e.g., lead release or pathogen proliferation), which is a major public health concern. However, little is known about the microbial ecosystem processes in plumbing systems, hindering the development of biological monitoring strategies. Here, we track tap water microbiome assembly in situ, showing that bacterial community composition changes rapidly from the city supply following ~6-day stagnation, along with an increase in cell count from 10(3) cells/mL to upwards of 7.8 × 10(5) cells/mL. Remarkably, bacterial community assembly was highly reproducible in this built environment system (median Spearman correlation between temporal replicates = 0.78). Using an island biogeography model, we show that neutral processes arising from the microbial communities in the city water supply (i.e., migration and demographic stochasticity) explained the island community composition in proximal pipes (Goodness-of-fit = 0.48), yet declined as water approached the faucet (Goodness-of-fit = 0.21). We developed a size-effect model to simulate this process, which indicated that pipe diameter drove these changes by mediating the kinetics of hypochlorite decay and cell detachment, affecting selection, migration, and demographic stochasticity. Our study challenges current water quality monitoring practice worldwide which ignore biological growth in plumbing, and suggests the island biogeography model as a useful framework to evaluate building water system quality. Nature Publishing Group UK 2018-03-27 2018-06 /pmc/articles/PMC5955952/ /pubmed/29588495 http://dx.doi.org/10.1038/s41396-018-0101-5 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, and provide a link to the Creative Commons license. You do not have permission under this license to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, http://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Article
Ling, Fangqiong
Whitaker, Rachel
LeChevallier, Mark W.
Liu, Wen-Tso
Drinking water microbiome assembly induced by water stagnation
title Drinking water microbiome assembly induced by water stagnation
title_full Drinking water microbiome assembly induced by water stagnation
title_fullStr Drinking water microbiome assembly induced by water stagnation
title_full_unstemmed Drinking water microbiome assembly induced by water stagnation
title_short Drinking water microbiome assembly induced by water stagnation
title_sort drinking water microbiome assembly induced by water stagnation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5955952/
https://www.ncbi.nlm.nih.gov/pubmed/29588495
http://dx.doi.org/10.1038/s41396-018-0101-5
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