scholarly journals Identifying the primary sources of fecal contamination along the beaches and rivers of Trinidad

2020 ◽  
Vol 18 (2) ◽  
pp. 229-238
Author(s):  
Ronell S. H. Bridgemohan ◽  
Dave S. Bachoon ◽  
Yingfan Wang ◽  
Puran Bridgemohan ◽  
Christine Mutiti ◽  
...  
Keyword(s):  
Fecal Contamination ◽  
Quality Standards ◽  
Microbial Source Tracking ◽  
Fecal Pollution ◽  
Global Network ◽  
Primary Sources ◽  
Source Tracking ◽  
Water Quality Standards ◽  
Generous Support ◽  
Recreational Use

Abstract The aim of this study was to identify the main sources of fecal pollution at popular beaches and rivers in the island of Trinidad. Escherichia coli enumeration and microbial source tracking (MST) were used to identify the primary sources of fecal bacteria contamination at the sites. Nineteen sites exceeded USEPA water quality standards for safe recreational use. Highest levels of fecal contamination were recorded on the central and west coasts of the island and included Brickfield River (4,839 MPN 100 ml−1), Orange Valley Bay (2,406.6 MPN 100 ml−1) and Chaguaramas Bay (1,921.2 MPN 100 ml−1). MST detected human (HF183) fecal pollution at ∼63%, birds at ∼67%, chicken at ∼36% and cattle (BacCow) at ∼34% of the sites. MST is a useful and rapid method for identifying major sources of fecal pollution in rivers and beaches. In Trinidad water bodies, the main sources of fecal pollution were humans and birds. The large number of sites with elevated levels of fecal pollution detected is particularly alarming and represents a serious public health risk. This article has been made Open Access thanks to the generous support of a global network of libraries as part of the Knowledge Unlatched Select initiative.

scholarly journals Determining the primary sources of fecal pollution using microbial source tracking assays combined with land-use information in the Edwards Aquifer

2020 ◽  
Vol 184 ◽  
pp. 116211
Author(s):  
Jessica Hinojosa ◽  
Jemima Green ◽  
Fabiola Estrada ◽  
Jonathan Herrera ◽  
Troy Mata ◽  
...  
Keyword(s):  
Land Use ◽  
Microbial Source Tracking ◽  
Fecal Pollution ◽  
Primary Sources ◽  
Source Tracking ◽  
Edwards Aquifer

scholarly journals Synergistic Application of Molecular Markers and Community-Based Microbial Source Tracking Methods for Identification of Fecal Pollution in River Water During Dry and Wet Seasons

2021 ◽  
Vol 12 ◽  
Author(s):  
Hongxia Liang ◽  
Zhisheng Yu ◽  
Bobo Wang ◽  
Fabrice Ndayisenga ◽  
Ruyin Liu ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Water Samples ◽  
Fecal Contamination ◽  
Microbial Source Tracking ◽  
Fecal Pollution ◽  
Small Sample ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Source Tracking ◽  
Community Based

It is important to track fecal sources from humans and animals that negatively influence the water quality of rural rivers and human health. In this study, microbial source tracking (MST) methods using molecular markers and the community-based FEAST (fast expectation–maximization microbial source tracking) program were synergistically applied to distinguish the fecal contributions of multiple sources in a rural river located in Beijing, China. The performance of eight markers were evaluated using 133 fecal samples based on real-time quantitative (qPCR) technique. Among them, six markers, including universal (BacUni), human-associated (HF183-1 and BacH), swine-associated (Pig-2-Bac), ruminant-associated (Rum-2-Bac), and avian-associated (AV4143) markers, performed well in the study. A total of 96 water samples from the river and outfalls showed a coordinated composition of fecal pollution, which revealed that outfall water might be a potential input of the Fsq River. In the FEAST program, bacterial 16S rRNA genes of 58 fecal and 12 water samples were sequenced to build the “source” library and “sink,” respectively. The relative contribution (<4.01% of sequence reads) of each source (i.e., human, swine, bovine, or sheep) was calculated based on simultaneous screening of the operational taxonomic units (OTUs) of sources and sinks, which indicated that community-based MST methods could be promising tools for identifying fecal sources from a more comprehensive perspective. Results of the qPCR assays indicated that fecal contamination from human was dominant during dry weather and that fecal sources from swine and ruminant were more prevalent in samples during the wet season than in those during the dry season, which were consistent with the findings predicted by the FEAST program using a very small sample size. Information from the study could be valuable for the development of improved regulation policies to reduce the levels of fecal contamination in rural rivers.

Multi-Year Microbial Source Tracking Study Characterizing Fecal Contamination in an Urban Watershed

2017 ◽  
Vol 89 (2) ◽  
pp. 127-143 ◽  
Author(s):  
Rebecca N. Bushon ◽  
Amie M.G. Brady ◽  
Eric D. Christensen ◽  
Erin A. Stelzer
Keyword(s):  
Fecal Contamination ◽  
Microbial Source Tracking ◽  
Source Tracking ◽  
Urban Watershed

scholarly journals Identifying Host Sources of Fecal Pollution: Diversity of Escherichia coli in Confined Dairy and Swine Production Systems

2005 ◽  
Vol 71 (10) ◽  
pp. 5992-5998 ◽  
Author(s):  
Zexun Lu ◽  
David Lapen ◽  
Andrew Scott ◽  
Angela Dang ◽  
Edward Topp
Keyword(s):  
Escherichia Coli ◽  
Dairy Farm ◽  
Sampling Strategy ◽  
Farming Systems ◽  
Microbial Source Tracking ◽  
Fecal Pollution ◽  
Source Tracking ◽  
E Coli ◽  
Repetitive Extragenic Palindromic Pcr ◽  
Repetitive Extragenic Palindromic

ABSTRACT Repetitive extragenic palindromic PCR fingerprinting of Escherichia coli is one microbial source tracking approach for identifying the host source origin of fecal pollution in aquatic systems. The construction of robust known-source libraries is expensive and requires an informed sampling strategy. In many types of farming systems, waste is stored for several months before being released into the environment. In this study we analyzed, by means of repetitive extragenic palindromic PCR using the enterobacterial repetitive intergenic consensus primers and comparative analysis using the Bionumerics software, collections of E. coli obtained from a dairy farm and from a swine farm, both of which stored their waste as a slurry in holding tanks. In all fecal samples, obtained from either barns or holding tanks, the diversity of the E. coli populations was underrepresented by collections of 500 isolates. In both the dairy and the swine farms, the diversity of the E. coli community was greater in the manure holding tank than in the barn, when they were sampled on the same date. In both farms, a comparison of stored manure samples collected several months apart suggested that the community composition changed substantially in terms of the detected number, absolute identity, and relative abundance of genotypes. Comparison of E. coli populations obtained from 10 different locations in either holding tank suggested that spatial variability in the E. coli community should be accounted for when sampling. Overall, the diversity in E. coli populations in manure slurry storage facilities is significant and likely is problematic with respect to library construction for microbial source tracking applications.

scholarly journals Evaluation of Two Library-Independent Microbial Source Tracking Methods To Identify Sources of Fecal Contamination in French Estuaries

2007 ◽  
Vol 73 (15) ◽  
pp. 4857-4866 ◽  
Author(s):  
Michèle Gourmelon ◽  
Marie Paule Caprais ◽  
Raphaël Ségura ◽  
Cécile Le Mennec ◽  
Solen Lozach ◽  
...  
Keyword(s):  
Water Samples ◽  
Fecal Contamination ◽  
Microbial Source Tracking ◽  
Source Tracking ◽  
Rrna Gene ◽  
Specific Marker ◽  
Gene Markers ◽  
High Level ◽  
Bird Feces

ABSTRACT In order to identify the origin of the fecal contamination observed in French estuaries, two library-independent microbial source tracking (MST) methods were selected: (i) Bacteroidales host-specific 16S rRNA gene markers and (ii) F-specific RNA bacteriophage genotyping. The specificity of the Bacteroidales markers was evaluated on human and animal (bovine, pig, sheep, and bird) feces. Two human-specific markers (HF183 and HF134), one ruminant-specific marker (CF193′), and one pig-specific marker (PF163) showed a high level of specificity (>90%). However, the data suggest that the proposed ruminant-specific CF128 marker would be better described as an animal marker, as it was observed in all bovine and sheep feces and 96% of pig feces. F RNA bacteriophages were detected in only 21% of individual fecal samples tested, in 60% of pig slurries, but in all sewage samples. Most detected F RNA bacteriophages were from genotypes II and III in sewage samples and from genotypes I and IV in bovine, pig, and bird feces and from pig slurries. Both MST methods were applied to 28 water samples collected from three watersheds at different times. Classification of water samples as subject to human, animal, or mixed fecal contamination was more frequent when using Bacteroidales markers (82.1% of water samples) than by bacteriophage genotyping (50%). The ability to classify a water sample increased with increasing Escherichia coli or enterococcus concentration. For the samples that could be classified by bacteriophage genotyping, 78% agreed with the classification obtained from Bacteroidales markers.

scholarly journals Microbial Source-Tracking Reveals Origins of Fecal Contamination in a Recovering Watershed

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2162 ◽  
Author(s):  
Hyatt Green ◽  
Daniel Weller ◽  
Stephanie Johnson ◽  
Edward Michalenko
Keyword(s):  
Urban Areas ◽  
Bacterial Contamination ◽  
Fecal Contamination ◽  
Microbial Source Tracking ◽  
Mitigation Strategies ◽  
Source Tracking ◽  
Chemical Parameters ◽  
Fecal Indicator ◽  
Combined Sewer ◽  
Rain Events

Fecal contamination of waterbodies due to poorly managed human and animal waste is a pervasive problem that can be particularly costly to address, especially if mitigation strategies are ineffective at sufficiently reducing the level of contamination. Identifying the most worrisome sources of contamination is particularly difficult in periurban streams with multiple land uses and requires the distinction of municipal, agricultural, domestic pet, and natural (i.e., wildlife) wastes. Microbial source-tracking (MST) methods that target host-specific members of the bacterial order Bacteroidales and others have been used worldwide to identify the origins of fecal contamination. We conducted a dry-weather study of Onondaga Creek, NY, where reducing fecal contamination has been approached mainly by mitigating combined sewer overflow events (CSOs). Over three sampling dates, we measured in-stream concentrations of fecal indicator bacteria; MST markers targeting human, ruminant, and canine sources; and various physical–chemical parameters to identify contaminants not attributable to CSOs or stormwater runoff. We observed that despite significant ruminant inputs upstream, these contaminants eventually decayed and/or were diluted out and that high levels of urban bacterial contamination are most likely due to failing infrastructure and/or illicit discharges independent of rain events. Similar dynamics may control other streams that transition from agricultural to urban areas with failing infrastructure.

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