Large-scale implementation of standardized quantitative real-time PCR fecal source identification procedures in the Tillamook Bay Watershed.

Fecal pollution management remains one of the biggest challenges for water quality authorities worldwide. Advanced fecal pollution source identification technologies are now available that can provide quantitative information from many animal groups. As public interest in these methodologies grows,...

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Main Authors: Xiang Li, Mano Sivaganesan, Catherine A Kelty, Amity Zimmer-Faust, Pat Clinton, Jay R Reichman, York Johnson, William Matthews, Stephanie Bailey, Orin C Shanks
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0216827
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author Xiang Li
Mano Sivaganesan
Catherine A Kelty
Amity Zimmer-Faust
Pat Clinton
Jay R Reichman
York Johnson
William Matthews
Stephanie Bailey
Orin C Shanks
author_facet Xiang Li
Mano Sivaganesan
Catherine A Kelty
Amity Zimmer-Faust
Pat Clinton
Jay R Reichman
York Johnson
William Matthews
Stephanie Bailey
Orin C Shanks
author_sort Xiang Li
collection DOAJ
description Fecal pollution management remains one of the biggest challenges for water quality authorities worldwide. Advanced fecal pollution source identification technologies are now available that can provide quantitative information from many animal groups. As public interest in these methodologies grows, it is vital to use standardized procedures with clearly defined data acceptance metrics and conduct field studies demonstrating the use of these techniques to help resolve real-world water quality challenges. Here we apply recently standardized human-associated qPCR methods with custom data acceptance metrics (HF183/BacR287 and HumM2), along with established procedures for ruminant (Rum2Bac), cattle (CowM2 and CowM3), canine (DG3 and DG37), and avian (GFD) fecal pollution sources to (i) demonstrate the feasibility of implementing standardized qPCR procedures in a large-scale field study, and (ii) characterize trends in fecal pollution sources in the research area. A total of 602 water samples were collected over a one-year period at 29 sites along the Trask, Kilchis, and Tillamook rivers and tributaries in the Tillamook Bay Watershed (OR, USA). Host-associated qPCR results were combined with high-resolution geographic information system (GIS) land use and general indicator bacteria (E. coli) measurements to elucidate water quality fecal pollution trends. Results demonstrate the feasibility of implementing standardized fecal source identification qPCR methods with established data acceptance metrics in a large-scale field study leading to new investigative leads suggesting that elevated E. coli levels may be linked to specific pollution sources and land use activities in the Tillamook Bay Watershed.
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spelling doaj.art-de18df04c9de457391b50061ef13724f2023-10-13T05:32:03ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01146e021682710.1371/journal.pone.0216827Large-scale implementation of standardized quantitative real-time PCR fecal source identification procedures in the Tillamook Bay Watershed.Xiang LiMano SivaganesanCatherine A KeltyAmity Zimmer-FaustPat ClintonJay R ReichmanYork JohnsonWilliam MatthewsStephanie BaileyOrin C ShanksFecal pollution management remains one of the biggest challenges for water quality authorities worldwide. Advanced fecal pollution source identification technologies are now available that can provide quantitative information from many animal groups. As public interest in these methodologies grows, it is vital to use standardized procedures with clearly defined data acceptance metrics and conduct field studies demonstrating the use of these techniques to help resolve real-world water quality challenges. Here we apply recently standardized human-associated qPCR methods with custom data acceptance metrics (HF183/BacR287 and HumM2), along with established procedures for ruminant (Rum2Bac), cattle (CowM2 and CowM3), canine (DG3 and DG37), and avian (GFD) fecal pollution sources to (i) demonstrate the feasibility of implementing standardized qPCR procedures in a large-scale field study, and (ii) characterize trends in fecal pollution sources in the research area. A total of 602 water samples were collected over a one-year period at 29 sites along the Trask, Kilchis, and Tillamook rivers and tributaries in the Tillamook Bay Watershed (OR, USA). Host-associated qPCR results were combined with high-resolution geographic information system (GIS) land use and general indicator bacteria (E. coli) measurements to elucidate water quality fecal pollution trends. Results demonstrate the feasibility of implementing standardized fecal source identification qPCR methods with established data acceptance metrics in a large-scale field study leading to new investigative leads suggesting that elevated E. coli levels may be linked to specific pollution sources and land use activities in the Tillamook Bay Watershed.https://doi.org/10.1371/journal.pone.0216827
spellingShingle Xiang Li
Mano Sivaganesan
Catherine A Kelty
Amity Zimmer-Faust
Pat Clinton
Jay R Reichman
York Johnson
William Matthews
Stephanie Bailey
Orin C Shanks
Large-scale implementation of standardized quantitative real-time PCR fecal source identification procedures in the Tillamook Bay Watershed.
PLoS ONE
title Large-scale implementation of standardized quantitative real-time PCR fecal source identification procedures in the Tillamook Bay Watershed.
title_full Large-scale implementation of standardized quantitative real-time PCR fecal source identification procedures in the Tillamook Bay Watershed.
title_fullStr Large-scale implementation of standardized quantitative real-time PCR fecal source identification procedures in the Tillamook Bay Watershed.
title_full_unstemmed Large-scale implementation of standardized quantitative real-time PCR fecal source identification procedures in the Tillamook Bay Watershed.
title_short Large-scale implementation of standardized quantitative real-time PCR fecal source identification procedures in the Tillamook Bay Watershed.
title_sort large scale implementation of standardized quantitative real time pcr fecal source identification procedures in the tillamook bay watershed
url https://doi.org/10.1371/journal.pone.0216827
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