Literature DB >> 27542934

Comparison of Microbial and Chemical Source Tracking Markers To Identify Fecal Contamination Sources in the Humber River (Toronto, Ontario, Canada) and Associated Storm Water Outfalls.

Zachery R Staley1, Josey Grabuski2, Ed Sverko2, Thomas A Edge2.   

Abstract

Storm water runoff is a major source of pollution, and understanding the components of storm water discharge is essential to remediation efforts and proper assessment of risks to human and ecosystem health. In this study, culturable Escherichia coli and ampicillin-resistant E. coli levels were quantified and microbial source tracking (MST) markers (including markers for general Bacteroidales spp., human, ruminant/cow, gull, and dog) were detected in storm water outfalls and sites along the Humber River in Toronto, Ontario, Canada, and enumerated via endpoint PCR and quantitative PCR (qPCR). Additionally, chemical source tracking (CST) markers specific for human wastewater (caffeine, carbamazepine, codeine, cotinine, acetaminophen, and acesulfame) were quantified. Human and gull fecal sources were detected at all sites, although concentrations of the human fecal marker were higher, particularly in outfalls (mean outfall concentrations of 4.22 log10 copies, expressed as copy numbers [CN]/100 milliliters for human and 0.46 log10 CN/100 milliliters for gull). Higher concentrations of caffeine, acetaminophen, acesulfame, E. coli, and the human fecal marker were indicative of greater raw sewage contamination at several sites (maximum concentrations of 34,800 ng/liter, 5,120 ng/liter, 9,720 ng/liter, 5.26 log10 CFU/100 ml, and 7.65 log10 CN/100 ml, respectively). These results indicate pervasive sewage contamination at storm water outfalls and throughout the Humber River, with multiple lines of evidence identifying Black Creek and two storm water outfalls with prominent sewage cross-connection problems requiring remediation. Limited data are available on specific sources of pollution in storm water, though our results indicate the value of using both MST and CST methodologies to more reliably assess sewage contamination in impacted watersheds. IMPORTANCE: Storm water runoff is one of the most prominent non-point sources of biological and chemical contaminants which can potentially degrade water quality and pose risks to human and ecosystem health. Therefore, identifying fecal contamination in storm water runoff and outfalls is essential for remediation efforts to reduce risks to public health. This study employed multiple methods of identifying levels and sources of fecal contamination in both river and storm water outfall sites, evaluating the efficacy of using culture-based enumeration of E. coli, molecular methods of determining the source(s) of contamination, and CST markers as indicators of fecal contamination. The results identified pervasive human sewage contamination in storm water outfalls and throughout an urban watershed and highlight the utility of using both MST and CST to identify raw sewage contamination. © Crown copyright 2016.

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Year:  2016        PMID: 27542934      PMCID: PMC5066352          DOI: 10.1128/AEM.01675-16

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  50 in total

Review 1.  Performance, design, and analysis in microbial source tracking studies.

Authors:  Donald M Stoeckel; Valerie J Harwood
Journal:  Appl Environ Microbiol       Date:  2007-02-16       Impact factor: 4.792

2.  Application of microbial source tracking methods in a Gulf of Mexico field setting.

Authors:  A Korajkic; B D Badgley; M J Brownell; V J Harwood
Journal:  J Appl Microbiol       Date:  2009-05-20       Impact factor: 3.772

3.  Phylogenetic analysis of Bacteroidales 16S rRNA gene sequences from human and animal effluents and assessment of ruminant faecal pollution by real-time PCR.

Authors:  S Mieszkin; J-F Yala; R Joubrel; M Gourmelon
Journal:  J Appl Microbiol       Date:  2009-07-25       Impact factor: 3.772

4.  Evaluating pharmaceuticals and caffeine as indicators of fecal contamination in drinking water sources of the Greater Montreal region.

Authors:  Atlasi Daneshvar; Khadija Aboulfadl; Liza Viglino; Romain Broséus; Sébastien Sauvé; Anne-Sophie Madoux-Humery; Gesa A Weyhenmeyer; Michèle Prévost
Journal:  Chemosphere       Date:  2012-04-02       Impact factor: 7.086

5.  Comparison of gull feces-specific assays targeting the 16S rRNA genes of Catellicoccus marimammalium and Streptococcus spp.

Authors:  Hodon Ryu; John F Griffith; Izhar U H Khan; Stephen Hill; Thomas A Edge; Carlos Toledo-Hernandez; Joel Gonzalez-Nieves; Jorge Santo Domingo
Journal:  Appl Environ Microbiol       Date:  2012-01-06       Impact factor: 4.792

6.  Towards the human intestinal microbiota phylogenetic core.

Authors:  Julien Tap; Stanislas Mondot; Florence Levenez; Eric Pelletier; Christophe Caron; Jean-Pierre Furet; Edgardo Ugarte; Rafael Muñoz-Tamayo; Denis L E Paslier; Renaud Nalin; Joel Dore; Marion Leclerc
Journal:  Environ Microbiol       Date:  2009-07-06       Impact factor: 5.491

7.  Age-related shifts in the density and distribution of genetic marker water quality indicators in cow and calf feces.

Authors:  Orin C Shanks; Catherine A Kelty; Lindsay Peed; Mano Sivaganesan; Thomas Mooney; Michael Jenkins
Journal:  Appl Environ Microbiol       Date:  2013-12-20       Impact factor: 4.792

8.  Quantification of human polyomaviruses JC Virus and BK Virus by TaqMan quantitative PCR and comparison to other water quality indicators in water and fecal samples.

Authors:  Shannon M McQuaig; Troy M Scott; Jerzy O Lukasik; John H Paul; Valerie J Harwood
Journal:  Appl Environ Microbiol       Date:  2009-04-03       Impact factor: 4.792

9.  Phylogenetic diversity and molecular detection of bacteria in gull feces.

Authors:  Jingrang Lu; Jorge W Santo Domingo; Regina Lamendella; Thomas Edge; Stephen Hill
Journal:  Appl Environ Microbiol       Date:  2008-05-09       Impact factor: 4.792

10.  Confirmation of putative stormwater impact on water quality at a Florida beach by microbial source tracking methods and structure of indicator organism populations.

Authors:  M J Brownell; V J Harwood; R C Kurz; S M McQuaig; J Lukasik; T M Scott
Journal:  Water Res       Date:  2007-06-01       Impact factor: 11.236

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  12 in total

1.  Quantifying the Relative Contributions of Environmental Sources to the Microbial Community in an Urban Stream under Dry and Wet Weather Conditions.

Authors:  Darshan Baral; Allison Speicher; Bruce Dvorak; David Admiraal; Xu Li
Journal:  Appl Environ Microbiol       Date:  2018-07-17       Impact factor: 4.792

2.  Microbial Source Tracking Using Quantitative and Digital PCR To Identify Sources of Fecal Contamination in Stormwater, River Water, and Beach Water in a Great Lakes Area of Concern.

Authors:  Zachery R Staley; Rachel J Boyd; Phoenix Shum; Thomas A Edge
Journal:  Appl Environ Microbiol       Date:  2018-10-01       Impact factor: 4.792

3.  Variable fecal source prioritization in recreational waters routinely monitored with viral and bacterial general indicators.

Authors:  Xiang Li; Catherine A Kelty; Mano Sivaganesan; Orin C Shanks
Journal:  Water Res       Date:  2021-01-17       Impact factor: 11.236

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

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
Journal:  PLoS One       Date:  2019-06-06       Impact factor: 3.240

5.  Enhanced insights from human and animal host-associated molecular marker genes in a freshwater lake receiving wet weather overflows.

Authors:  Warish Ahmed; Sudhi Payyappat; Michele Cassidy; Colin Besley
Journal:  Sci Rep       Date:  2019-08-29       Impact factor: 4.379

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.  Faecal pollution affects abundance and diversity of aquatic microbial community in anthropo-zoogenically influenced lotic ecosystems.

Authors:  Lisa Paruch; Adam M Paruch; Hans Geir Eiken; Roald Sørheim
Journal:  Sci Rep       Date:  2019-12-19       Impact factor: 4.379

8.  Aquatic microbial diversity associated with faecal pollution of Norwegian waterbodies characterized by 16S rRNA gene amplicon deep sequencing.

Authors:  Lisa Paruch; Adam M Paruch; Hans Geir Eiken; Roald Sørheim
Journal:  Microb Biotechnol       Date:  2019-07-09       Impact factor: 5.813

9.  Characterization of Stormwater Runoff Based on Microbial Source Tracking Methods.

Authors:  Silvia Monteiro; Gaspar Queiroz; Filipa Ferreira; Ricardo Santos
Journal:  Front Microbiol       Date:  2021-06-10       Impact factor: 5.640

10.  Fecal source tracking and eDNA profiling in an urban creek following an extreme rain event.

Authors:  Zachery R Staley; Jun Dennis Chuong; Stephen J Hill; Josey Grabuski; Shadi Shokralla; Mehrdad Hajibabaei; Thomas A Edge
Journal:  Sci Rep       Date:  2018-09-26       Impact factor: 4.379

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