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• W2942178706 abstract "Taihu Lake is one of the largest freshwater lakes in China, serving as an important source of drinking water; >60% of source water to this lake is provided by the Tiaoxi River. This river faces serious fecal contamination issues, and therefore, a comprehensive investigation to identify the sources of fecal contamination was carried out and is presented here. The performance of existing universal (BacUni and GenBac), human (HF183-Taqman, HF183-SYBR, BacHum, and Hum2), swine (Pig-2-Bac), ruminant (BacCow), and avian (AV4143 and GFD) associated microbial source tracking (MST) markers was evaluated prior to their application in this region. The specificity and sensitivity results indicated that BacUni, HF183-TaqMan, Pig-2-Bac, and GFD assays are the most suitable in identifying human and animal fecal contamination. Therefore, these markers along with marker genes specific to selected bacterial pathogens were quantified in water and sediment samples of the Tiaoxi River, collected from 15 locations over three seasons during 2014 and 2015. Total/universal Bacteroidales markers were detected in all water and sediment samples (mean concentration 6.22 log10 gene copies/100 ml and 6.11 log10 gene copies/gram, respectively), however, the detection of host-associated MST markers varied. Human and avian markers were the most frequently detected in water samples (97 and 89%, respectively), whereas in sediment samples, only human-associated markers were detected more often (86%) than swine (64%) and avian (8.8%) markers. The results indicate that several locations in the Tiaoxi River are heavily polluted by fecal contamination and this correlated well with land use patterns. Among the five bacterial pathogens tested, Shigella spp. and Campylobacter jejuni were the most frequently detected pathogens in water (60% and 62%, respectively) and sediment samples (91% and 53%, respectively). Shiga toxin-producing Escherichia coli (STEC) and pathogenic Leptospira spp. were less frequently detected in water samples (55% and 33%, respectively) and sediment samples (51% and 13%, respectively), whereas E. coli O157:H7 was only detected in sediment samples (11%). Overall, the higher prevalence and concentrations of Campylobacter jejuni, Shigella spp., and STEC, along with the MST marker detection at a number of locations in the Tiaoxi River, indicates poor water quality and a significant human health risk associated with this watercourse. GRAPHICAL ABSTRACTTracking fecal contamination and pathogens in watersheds using molecular methods." @default.
• W2942178706 created "2019-05-03" @default.
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• W2942178706 creator A5020112892 @default.
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• W2942178706 creator A5081505134 @default.
• W2942178706 date "2019-04-24" @default.
• W2942178706 modified "2023-10-12" @default.
• W2942178706 title "Quantification of Microbial Source Tracking and Pathogenic Bacterial Markers in Water and Sediments of Tiaoxi River (Taihu Watershed)" @default.
• W2942178706 cites W1550127782 @default.
• W2942178706 cites W1559932230 @default.
• W2942178706 cites W1861871533 @default.
• W2942178706 cites W1916540769 @default.
• W2942178706 cites W1967536176 @default.
• W2942178706 cites W1968105193 @default.
• W2942178706 cites W1969905354 @default.
• W2942178706 cites W1976388596 @default.
• W2942178706 cites W1981675027 @default.
• W2942178706 cites W1983427122 @default.
• W2942178706 cites W1986113381 @default.
• W2942178706 cites W1989324089 @default.
• W2942178706 cites W1995356937 @default.
• W2942178706 cites W1997460675 @default.
• W2942178706 cites W1998759752 @default.
• W2942178706 cites W1999489847 @default.
• W2942178706 cites W2006235992 @default.
• W2942178706 cites W2011915346 @default.
• W2942178706 cites W2014803195 @default.
• W2942178706 cites W2016058818 @default.
• W2942178706 cites W2016238746 @default.
• W2942178706 cites W2017539917 @default.
• W2942178706 cites W2022536634 @default.
• W2942178706 cites W2023046742 @default.
• W2942178706 cites W2029265447 @default.
• W2942178706 cites W2031226112 @default.
• W2942178706 cites W2033632916 @default.
• W2942178706 cites W2036770142 @default.
• W2942178706 cites W2040792693 @default.
• W2942178706 cites W2049250031 @default.
• W2942178706 cites W2057745338 @default.
• W2942178706 cites W206021530 @default.
• W2942178706 cites W2064656432 @default.
• W2942178706 cites W2092609769 @default.
• W2942178706 cites W2093313436 @default.
• W2942178706 cites W2095920248 @default.
• W2942178706 cites W2099624958 @default.
• W2942178706 cites W2101767809 @default.
• W2942178706 cites W2105973142 @default.
• W2942178706 cites W2110517478 @default.
• W2942178706 cites W2114773536 @default.
• W2942178706 cites W2117476390 @default.
• W2942178706 cites W2121409138 @default.
• W2942178706 cites W2124054919 @default.
• W2942178706 cites W2128277876 @default.
• W2942178706 cites W2132174174 @default.
• W2942178706 cites W2133771437 @default.
• W2942178706 cites W2134143407 @default.
• W2942178706 cites W2135046950 @default.
• W2942178706 cites W2137272558 @default.
• W2942178706 cites W2144691829 @default.
• W2942178706 cites W2146713330 @default.
• W2942178706 cites W2151219184 @default.
• W2942178706 cites W2161240805 @default.
• W2942178706 cites W2162088497 @default.
• W2942178706 cites W2165217944 @default.
• W2942178706 cites W2167510472 @default.
• W2942178706 cites W2168420558 @default.
• W2942178706 cites W2171861483 @default.
• W2942178706 cites W2181939373 @default.
• W2942178706 cites W2291644555 @default.
• W2942178706 cites W2328461067 @default.
• W2942178706 cites W2334424348 @default.
• W2942178706 cites W2387507392 @default.
• W2942178706 cites W2391734844 @default.
• W2942178706 cites W2511125557 @default.
• W2942178706 cites W2530384160 @default.
• W2942178706 cites W2531613032 @default.
• W2942178706 cites W2605695648 @default.
• W2942178706 cites W2607126111 @default.
• W2942178706 cites W2607508230 @default.
• W2942178706 cites W2735929560 @default.
• W2942178706 cites W2756516454 @default.
• W2942178706 cites W2760598209 @default.
• W2942178706 cites W2789468668 @default.
• W2942178706 cites W2791276145 @default.
• W2942178706 cites W2800463884 @default.
• W2942178706 cites W2898984576 @default.
• W2942178706 cites W651974107 @default.
• W2942178706 cites W868046231 @default.
• W2942178706 doi "https://doi.org/10.3389/fmicb.2019.00699" @default.
• W2942178706 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6492492" @default.
• W2942178706 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31105648" @default.
• W2942178706 hasPublicationYear "2019" @default.
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