2021
DOI: 10.1016/j.jglr.2020.09.002
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Microbial source tracking to identify fecal sources contaminating the Toronto Harbour and Don River watershed in wet and dry weather

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Cited by 18 publications
(9 citation statements)
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“…This is likely due to geographic variance in the goose populations since these targets were created by sequencing goose feces in Saskatchewan Canada. The validation of ND2 as a marker for Canada Geese in Michigan agreed with another study conducted in the Great Lakes region (Edge et al, 2021). Prior to the validation of ND2 in this study, there was no host-speci c marker for Canada Geese that had been validated for use in Michigan, which created a signi cant gap for identifying the source of fecal contamination.…”
Section: Microbial Source Trackingsupporting
confidence: 77%
“…This is likely due to geographic variance in the goose populations since these targets were created by sequencing goose feces in Saskatchewan Canada. The validation of ND2 as a marker for Canada Geese in Michigan agreed with another study conducted in the Great Lakes region (Edge et al, 2021). Prior to the validation of ND2 in this study, there was no host-speci c marker for Canada Geese that had been validated for use in Michigan, which created a signi cant gap for identifying the source of fecal contamination.…”
Section: Microbial Source Trackingsupporting
confidence: 77%
“…Rainfall would thus constitute one of the main vectors for the dissemination of helminth eggs or larvae (Manz et al 2017; Di Biase & Hanssen 2021). These contaminations could also be due to industries, especially agri-food industries, if their effluents are not properly treated, or to wildlife, especially poultry (Yahya et al 2017; Edge et al 2021). Indeed, the lack of a solid and liquid waste collection and treatment system in the city of Kribi is conducive to the deposition of sediment, which would promote the development of microorganisms that would be evacuated to the beaches during rainy episodes.…”
Section: Discussionmentioning
confidence: 99%
“…Quantitative real‐time PCR (qPCR) is an evolving tool for simultaneous detection and quantification of multiple specific molecular targets on multiple samples (e.g., microfluidic, nanofluidic plates) (Friedrich et al, 2016; Morrison et al, 2006; Shahraki, Heath, et al, 2019). In the context of environmental studies, qPCR has become a leading method for microbial source tracking (MST) of pathogenic contamination (e.g., Bacteroides ) in multiple environments and media (e.g., ground water, wastewater, rivers, lakes, oceans) from multiple species (e.g., human, avian, bovine) (Edge et al, 2021; Li et al, 2021; Phelan et al, 2019). In fact, human health investigations related to human–water interactions of various sources, such as wastewater (e.g., Jäger et al, 2018; Tiwari et al, 2022), stormwater (e.g., Staley et al, 2018), groundwater (e.g., Mattioli et al, 2021; Soumastre et al, 2022), drinking water sources (e.g., Åström et al, 2015) and recreational water use (e.g., Rytkönen et al, 2021; Sinigalliano et al, 2021), are often processed using PCR tracking methods.…”
Section: Introductionmentioning
confidence: 99%