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The utility of Escherichia coli as a contamination indicator for rural drinking water: Evidence from whole genome sequencing

Across the water sector, Escherichia coli is the preferred microbial water quality indicator and current guidance upholds that it indicates recent faecal contamination. This has been challenged, however, by research demonstrating growth of E. coli in the environment. In this study, we used whole gen...

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Autores principales: Nowicki, Saskia, deLaurent, Zaydah R., de Villiers, Etienne P., Githinji, George, Charles, Katrina J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822521/
https://www.ncbi.nlm.nih.gov/pubmed/33481909
http://dx.doi.org/10.1371/journal.pone.0245910
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author Nowicki, Saskia
deLaurent, Zaydah R.
de Villiers, Etienne P.
Githinji, George
Charles, Katrina J.
author_facet Nowicki, Saskia
deLaurent, Zaydah R.
de Villiers, Etienne P.
Githinji, George
Charles, Katrina J.
author_sort Nowicki, Saskia
collection PubMed
description Across the water sector, Escherichia coli is the preferred microbial water quality indicator and current guidance upholds that it indicates recent faecal contamination. This has been challenged, however, by research demonstrating growth of E. coli in the environment. In this study, we used whole genome sequencing to investigate the links between E. coli and recent faecal contamination in drinking water. We sequenced 103 E. coli isolates sampled from 9 water supplies in rural Kitui County, Kenya, including points of collection (n = 14) and use (n = 30). Biomarkers for definitive source tracking remain elusive, so we analysed the phylogenetic grouping, multi-locus sequence types (MLSTs), allelic diversity, and virulence and antimicrobial resistance (AMR) genes of the isolates for insight into their likely source. Phylogroup B1, which is generally better adapted to water environments, is dominant in our samples (n = 69) and allelic diversity differences (z = 2.12, p = 0.03) suggest that naturalised populations may be particularly relevant at collection points with lower E. coli concentrations (<50 / 100mL). The strains that are more likely to have originated from human and/or recent faecal contamination (n = 50), were found at poorly protected collection points (4 sites) or at points of use (12 sites). We discuss the difficulty of interpreting health risk from E. coli grab samples, especially at household level, and our findings support the use of E. coli risk categories and encourage monitoring that accounts for sanitary conditions and temporal variability.
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spelling pubmed-78225212021-01-29 The utility of Escherichia coli as a contamination indicator for rural drinking water: Evidence from whole genome sequencing Nowicki, Saskia deLaurent, Zaydah R. de Villiers, Etienne P. Githinji, George Charles, Katrina J. PLoS One Research Article Across the water sector, Escherichia coli is the preferred microbial water quality indicator and current guidance upholds that it indicates recent faecal contamination. This has been challenged, however, by research demonstrating growth of E. coli in the environment. In this study, we used whole genome sequencing to investigate the links between E. coli and recent faecal contamination in drinking water. We sequenced 103 E. coli isolates sampled from 9 water supplies in rural Kitui County, Kenya, including points of collection (n = 14) and use (n = 30). Biomarkers for definitive source tracking remain elusive, so we analysed the phylogenetic grouping, multi-locus sequence types (MLSTs), allelic diversity, and virulence and antimicrobial resistance (AMR) genes of the isolates for insight into their likely source. Phylogroup B1, which is generally better adapted to water environments, is dominant in our samples (n = 69) and allelic diversity differences (z = 2.12, p = 0.03) suggest that naturalised populations may be particularly relevant at collection points with lower E. coli concentrations (<50 / 100mL). The strains that are more likely to have originated from human and/or recent faecal contamination (n = 50), were found at poorly protected collection points (4 sites) or at points of use (12 sites). We discuss the difficulty of interpreting health risk from E. coli grab samples, especially at household level, and our findings support the use of E. coli risk categories and encourage monitoring that accounts for sanitary conditions and temporal variability. Public Library of Science 2021-01-22 /pmc/articles/PMC7822521/ /pubmed/33481909 http://dx.doi.org/10.1371/journal.pone.0245910 Text en © 2021 Nowicki et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nowicki, Saskia
deLaurent, Zaydah R.
de Villiers, Etienne P.
Githinji, George
Charles, Katrina J.
The utility of Escherichia coli as a contamination indicator for rural drinking water: Evidence from whole genome sequencing
title The utility of Escherichia coli as a contamination indicator for rural drinking water: Evidence from whole genome sequencing
title_full The utility of Escherichia coli as a contamination indicator for rural drinking water: Evidence from whole genome sequencing
title_fullStr The utility of Escherichia coli as a contamination indicator for rural drinking water: Evidence from whole genome sequencing
title_full_unstemmed The utility of Escherichia coli as a contamination indicator for rural drinking water: Evidence from whole genome sequencing
title_short The utility of Escherichia coli as a contamination indicator for rural drinking water: Evidence from whole genome sequencing
title_sort utility of escherichia coli as a contamination indicator for rural drinking water: evidence from whole genome sequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822521/
https://www.ncbi.nlm.nih.gov/pubmed/33481909
http://dx.doi.org/10.1371/journal.pone.0245910
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