Literature DB >> 23021338

HuBac and nifH source tracking markers display a relationship to land use but not rainfall.

Jennifer Gentry-Shields1, Jakob G Rowny, Jill R Stewart.   

Abstract

Identification of the source of fecal pollution is becoming a priority for states and territories in the U.S. in order to meet water quality standards and to develop and implement total maximum daily loads. The goal of this research was to relate microbial source tracking (MST) assay concentrations to land use and levels of impervious surfaces in order to gauge how increasing development is associated with human fecal contamination in inland watersheds. The concentrations of two proposed MST markers, targeting nifH of Methanobrevibacter smithii and HuBac of Bacteroides sp., were positively correlated with increasing anthropogenic development and impervious surfaces. Higher concentrations of these MST markers in more urbanized watersheds suggest that increasing development negatively affects water quality. Neither MST marker concentration was correlated with antecedent rainfall levels, and detection of markers did not differ between dry weather and rain events. Water samples were also analyzed for norovirus and enterovirus, but these enteric viruses were rarely detected. These MST results differ from previous studies that have found correlations between traditional fecal indicator bacteria (FIB) and antecedent rainfall. This difference suggests that the MST markers used in this study may be more specific for recent, land-based contamination events as opposed to resuspension of particle-associated organisms in waterways. HuBac was detected in 98% of samples, correlating with fecal coliform and Escherichia coli concentrations. The ubiquity of the HuBac marker in our samples suggests that this marker does not provide sufficiently different or additional information than FIB, and it is likely this marker was amplifying non-human targets. The nifH marker was detected in 30% of samples. Less than half of the nifH-positive samples contained levels of fecal coliforms or E. coli above regulatory thresholds, suggesting that nifH would be more useful when utilized simultaneously with FIB than in a tiered monitoring strategy. The results of this research suggests that land use factors play an important role in characterizing and mitigating fecal contamination in watersheds.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23021338     DOI: 10.1016/j.watres.2012.09.016

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  7 in total

1.  Use of Bacteroidales microbial source tracking to monitor fecal contamination in fresh produce production.

Authors:  Kruti Ravaliya; Jennifer Gentry-Shields; Santos Garcia; Norma Heredia; Anna Fabiszewski de Aceituno; Faith E Bartz; Juan S Leon; Lee-Ann Jaykus
Journal:  Appl Environ Microbiol       Date:  2013-11-08       Impact factor: 4.792

2.  Microbial Source Tracking in Adjacent Karst Springs.

Authors:  Shoshanit Ohad; Dalit Vaizel-Ohayon; Meir Rom; Joseph Guttman; Diego Berger; Valeria Kravitz; Shlomo Pilo; Zohar Huberman; Yechezkel Kashi; Efrat Rorman
Journal:  Appl Environ Microbiol       Date:  2015-05-22       Impact factor: 4.792

3.  Tools for monitoring aquatic environments to identify anthropic effects.

Authors:  Monyque Palagano da Rocha; Priscila Leocadia Rosa Dourado; Claudia Andrea Lima Cardoso; Liliam Silva Cândido; Joelson Gonçalves Pereira; Kelly Mari Pires de Oliveira; Alexeia Barufatti Grisolia
Journal:  Environ Monit Assess       Date:  2018-01-05       Impact factor: 2.513

4.  Sewage loading and microbial risk in urban waters of the Great Lakes.

Authors:  Sandra L McLellan; Elizabeth P Sauer; Steve R Corsi; Melinda J Bootsma; Alexandria B Boehm; Susan K Spencer; Mark A Borchardt
Journal:  Elementa (Wash D C)       Date:  2018-06-20       Impact factor: 6.053

5.  Human fecal contamination of water, soil, and surfaces in households sharing poor-quality sanitation facilities in Maputo, Mozambique.

Authors:  David A Holcomb; Jackie Knee; Trent Sumner; Zaida Adriano; Ellen de Bruijn; Rassul Nalá; Oliver Cumming; Joe Brown; Jill R Stewart
Journal:  Int J Hyg Environ Health       Date:  2020-03-02       Impact factor: 5.840

Review 6.  A review on microbial contaminants in stormwater runoff and outfalls: Potential health risks and mitigation strategies.

Authors:  Warish Ahmed; Kerry Hamilton; Simon Toze; Stephen Cook; Declan Page
Journal:  Sci Total Environ       Date:  2019-07-05       Impact factor: 7.963

7.  Tracking Major Sources of Water Contamination Using Machine Learning.

Authors:  Jianyong Wu; Conghe Song; Eric A Dubinsky; Jill R Stewart
Journal:  Front Microbiol       Date:  2021-01-20       Impact factor: 5.640

  7 in total

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