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The Changing Face of Water: A Dynamic Reflection of Antibiotic Resistance Across Landscapes
Little is known about the role of surface water in the propagation of antibiotic resistance (AR), or the relationship between AR and water quality declines. While healthcare and agricultural sectors are considered the main contributors to AR dissemination, few studies have been conducted in their ab...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6135886/ https://www.ncbi.nlm.nih.gov/pubmed/30237787 http://dx.doi.org/10.3389/fmicb.2018.01894 |
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author | Sanderson, Claire E. Fox, J. Tyler Dougherty, Eric R. Cameron, Andrew D. S. Alexander, Kathleen A. |
author_facet | Sanderson, Claire E. Fox, J. Tyler Dougherty, Eric R. Cameron, Andrew D. S. Alexander, Kathleen A. |
author_sort | Sanderson, Claire E. |
collection | PubMed |
description | Little is known about the role of surface water in the propagation of antibiotic resistance (AR), or the relationship between AR and water quality declines. While healthcare and agricultural sectors are considered the main contributors to AR dissemination, few studies have been conducted in their absence. Using linear models and Bayesian kriging, we evaluate AR among Escherichia coli water isolates collected bimonthly from the Chobe River in Northern Botswana (n = 1997, n = 414 water samples; July 2011–May 2012) in relation to water quality dynamics (E. coli, fecal coliform, and total suspended solids), land use, season, and AR in wildlife and humans within this system. No commercial agricultural or large medical facilities exist within this region. Here, we identify widespread AR in surface water, with land use and season significant predicators of AR levels. Mean AR was significantly higher in the wet season than the dry season (p = 0.003), and highest in the urban landscape (2.15, SD = 0.098) than the protected landscape (1.39, SD = 0.051). In-water E. coli concentrations were significantly positively associated with mean AR in the wet season (p < 0.001) but not in the dry season (p = 0.110), with TSS negatively associated with mean AR across seasons (p = 0.016 and p = 0.029), identifying temporal and spatial relationships between water quality variables and AR. Importantly, when human, water, and wildlife isolates were examined, similar AR profiles were identified (p < 0.001). Our results suggest that direct human inputs are sufficient for extensive dispersal of AR into the environment, with landscape features, season, and water quality variables influencing AR dynamics. Focused and expensive efforts to minimize pollution from agricultural sources, while important, may only provide incremental benefits to the management of AR across complex landscapes. Controlling direct human AR inputs into the environment remains a critical and pressing challenge. |
format | Online Article Text |
id | pubmed-6135886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61358862018-09-20 The Changing Face of Water: A Dynamic Reflection of Antibiotic Resistance Across Landscapes Sanderson, Claire E. Fox, J. Tyler Dougherty, Eric R. Cameron, Andrew D. S. Alexander, Kathleen A. Front Microbiol Microbiology Little is known about the role of surface water in the propagation of antibiotic resistance (AR), or the relationship between AR and water quality declines. While healthcare and agricultural sectors are considered the main contributors to AR dissemination, few studies have been conducted in their absence. Using linear models and Bayesian kriging, we evaluate AR among Escherichia coli water isolates collected bimonthly from the Chobe River in Northern Botswana (n = 1997, n = 414 water samples; July 2011–May 2012) in relation to water quality dynamics (E. coli, fecal coliform, and total suspended solids), land use, season, and AR in wildlife and humans within this system. No commercial agricultural or large medical facilities exist within this region. Here, we identify widespread AR in surface water, with land use and season significant predicators of AR levels. Mean AR was significantly higher in the wet season than the dry season (p = 0.003), and highest in the urban landscape (2.15, SD = 0.098) than the protected landscape (1.39, SD = 0.051). In-water E. coli concentrations were significantly positively associated with mean AR in the wet season (p < 0.001) but not in the dry season (p = 0.110), with TSS negatively associated with mean AR across seasons (p = 0.016 and p = 0.029), identifying temporal and spatial relationships between water quality variables and AR. Importantly, when human, water, and wildlife isolates were examined, similar AR profiles were identified (p < 0.001). Our results suggest that direct human inputs are sufficient for extensive dispersal of AR into the environment, with landscape features, season, and water quality variables influencing AR dynamics. Focused and expensive efforts to minimize pollution from agricultural sources, while important, may only provide incremental benefits to the management of AR across complex landscapes. Controlling direct human AR inputs into the environment remains a critical and pressing challenge. Frontiers Media S.A. 2018-09-06 /pmc/articles/PMC6135886/ /pubmed/30237787 http://dx.doi.org/10.3389/fmicb.2018.01894 Text en Copyright © 2018 Sanderson, Fox, Dougherty, Cameron and Alexander. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Sanderson, Claire E. Fox, J. Tyler Dougherty, Eric R. Cameron, Andrew D. S. Alexander, Kathleen A. The Changing Face of Water: A Dynamic Reflection of Antibiotic Resistance Across Landscapes |
title | The Changing Face of Water: A Dynamic Reflection of Antibiotic Resistance Across Landscapes |
title_full | The Changing Face of Water: A Dynamic Reflection of Antibiotic Resistance Across Landscapes |
title_fullStr | The Changing Face of Water: A Dynamic Reflection of Antibiotic Resistance Across Landscapes |
title_full_unstemmed | The Changing Face of Water: A Dynamic Reflection of Antibiotic Resistance Across Landscapes |
title_short | The Changing Face of Water: A Dynamic Reflection of Antibiotic Resistance Across Landscapes |
title_sort | changing face of water: a dynamic reflection of antibiotic resistance across landscapes |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6135886/ https://www.ncbi.nlm.nih.gov/pubmed/30237787 http://dx.doi.org/10.3389/fmicb.2018.01894 |
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