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Fecal source tracking and eDNA profiling in an urban creek following an extreme rain event

Fecal contamination of recreational waters (i.e. lakes, rivers, beaches) poses an on-going problem for environmental and public health. Heavy rainfall can exacerbate existing problems with fecal contamination. As there could be variable sources of fecal contamination, identifying the source is criti...

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Autores principales: Staley, Zachery R., Chuong, Jun Dennis, Hill, Stephen J., Grabuski, Josey, Shokralla, Shadi, Hajibabaei, Mehrdad, Edge, Thomas A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158173/
https://www.ncbi.nlm.nih.gov/pubmed/30258068
http://dx.doi.org/10.1038/s41598-018-32680-z
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author Staley, Zachery R.
Chuong, Jun Dennis
Hill, Stephen J.
Grabuski, Josey
Shokralla, Shadi
Hajibabaei, Mehrdad
Edge, Thomas A.
author_facet Staley, Zachery R.
Chuong, Jun Dennis
Hill, Stephen J.
Grabuski, Josey
Shokralla, Shadi
Hajibabaei, Mehrdad
Edge, Thomas A.
author_sort Staley, Zachery R.
collection PubMed
description Fecal contamination of recreational waters (i.e. lakes, rivers, beaches) poses an on-going problem for environmental and public health. Heavy rainfall can exacerbate existing problems with fecal contamination. As there could be variable sources of fecal contamination, identifying the source is critical for remediation efforts. This study utilized microbial source tracking (MST), chemical source tracking (CST) markers and environmental DNA (eDNA) metabarcoding to profile sampling areas and identify sources of fecal contamination in creek, stormwater outfall and beach sites in the Etobicoke Creek watershed (Toronto, ON). Water samples were collected before and immediately following an extreme rain event. MST and CST identified stormwater outfalls as an important source of human fecal contamination during dry and wet conditions. eDNA metabarcoding allowed for potential identification of additional sources of fecal contamination and provided additional evidence of human fecal contamination. The extreme rainfall event altered the eDNA profiles, causing creek and beach sites to reflect a greater diversity of mammal and bird eDNA sequences. The profiles provided by eDNA metabarcoding provide a proof of concept suggesting that eDNA metabarcoding can be a useful tool to complement MST and CST methods for profiling sources of fecal contamination and studying impacts of extreme rain events.
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spelling pubmed-61581732018-09-28 Fecal source tracking and eDNA profiling in an urban creek following an extreme rain event Staley, Zachery R. Chuong, Jun Dennis Hill, Stephen J. Grabuski, Josey Shokralla, Shadi Hajibabaei, Mehrdad Edge, Thomas A. Sci Rep Article Fecal contamination of recreational waters (i.e. lakes, rivers, beaches) poses an on-going problem for environmental and public health. Heavy rainfall can exacerbate existing problems with fecal contamination. As there could be variable sources of fecal contamination, identifying the source is critical for remediation efforts. This study utilized microbial source tracking (MST), chemical source tracking (CST) markers and environmental DNA (eDNA) metabarcoding to profile sampling areas and identify sources of fecal contamination in creek, stormwater outfall and beach sites in the Etobicoke Creek watershed (Toronto, ON). Water samples were collected before and immediately following an extreme rain event. MST and CST identified stormwater outfalls as an important source of human fecal contamination during dry and wet conditions. eDNA metabarcoding allowed for potential identification of additional sources of fecal contamination and provided additional evidence of human fecal contamination. The extreme rainfall event altered the eDNA profiles, causing creek and beach sites to reflect a greater diversity of mammal and bird eDNA sequences. The profiles provided by eDNA metabarcoding provide a proof of concept suggesting that eDNA metabarcoding can be a useful tool to complement MST and CST methods for profiling sources of fecal contamination and studying impacts of extreme rain events. Nature Publishing Group UK 2018-09-26 /pmc/articles/PMC6158173/ /pubmed/30258068 http://dx.doi.org/10.1038/s41598-018-32680-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Staley, Zachery R.
Chuong, Jun Dennis
Hill, Stephen J.
Grabuski, Josey
Shokralla, Shadi
Hajibabaei, Mehrdad
Edge, Thomas A.
Fecal source tracking and eDNA profiling in an urban creek following an extreme rain event
title Fecal source tracking and eDNA profiling in an urban creek following an extreme rain event
title_full Fecal source tracking and eDNA profiling in an urban creek following an extreme rain event
title_fullStr Fecal source tracking and eDNA profiling in an urban creek following an extreme rain event
title_full_unstemmed Fecal source tracking and eDNA profiling in an urban creek following an extreme rain event
title_short Fecal source tracking and eDNA profiling in an urban creek following an extreme rain event
title_sort fecal source tracking and edna profiling in an urban creek following an extreme rain event
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158173/
https://www.ncbi.nlm.nih.gov/pubmed/30258068
http://dx.doi.org/10.1038/s41598-018-32680-z
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