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

被引:40
作者
Staley, Zachery R. [1 ]
Boyd, Rachel J. [1 ]
Shum, Phoenix [1 ]
Edge, Thomas A. [1 ]
机构
[1] Environm & Climate Change Canada, Canada Ctr Inland Waters, Burlington, ON, Canada
关键词
Escherichia coli; area of concern; dPCR; qPCR; source tracking; stormwater; water quality; CATELLICOCCUS-MARIMAMMALIUM; QUANTIFICATION; MARKER; ASSAYS; IDENTIFICATION; PERFORMANCE; INDICATORS; ILLNESS; DESIGN; MODEL;
D O I
10.1128/AEM.01634-18
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Areas of concern (AOCs) around the Great Lakes are characterized by historic and ongoing problems with microbial water quality, leading to beneficial use impairments (BUIs) such as beach postings and closures. In this study, we assessed river and beach sites within the Rouge River watershed, associated stormwater outfalls, and at Rouge Beach. The concentrations of Escherichia coli as well as human- and gull-specific qPCR microbial source tracking (MST) markers were assessed at all sites. A preliminary comparison of digital PCR (dPCR) methodologies for both MST markers was conducted regarding sensitivity and specificity. Within the watershed, the outfalls were found to be a prominent source of human fecal contamination, with two outfalls particularly affected by sewage cross-connections. However, the occurrence of human fecal contamination along Rouge Beach and in the lower portions of the watershed was largely dependent on rain events. Gull fecal contamination was the predominant source of contamination at the beach, particularly during dry weather. The multiplex human/gull dPCR methodology used in this study tended to be more sensitive than the individual quantitative PCR (qPCR) assays, with only a slight decrease in specificity. Both dPCR and qPCR methodologies identified the same predominance of human and gull markers in stormwater and beach locations, respectively; however, the dPCR multiplex assay was more sensitive and capable of detecting fecal contamination that was undetected by qPCR assays. These results demonstrate the dPCR assay used in this study could be a viable tool for MST studies to increase the ability to identify low levels of fecal contamination. IMPORTANCE Fecal contamination of recreational water poses a persistent and ongoing problem, particularly in areas of concern around the Great Lakes. The identification of the source(s) of fecal contamination is essential for safeguarding public health as well as guiding remediation efforts; however, fecal contamination may frequently be present at low levels and remain undetectable by certain methodologies. In this study, we utilized microbial source tracking techniques using both quantitative and digital PCR assays to identify sources of contamination. Our results indicated high levels of human fecal contamination within stormwater outfalls, while lower levels were observed throughout the watershed. Additionally, high levels of gull fecal contamination were detected at Rouge Beach, particularly during drier sampling events. Furthermore, our results indicated an increased sensitivity of the digital PCR assay to detect both human and gull contamination, suggesting it could be a viable tool for future microbial source tracking studies.
引用
收藏
页数:12
相关论文
共 35 条
  • [11] The Digital MIQE Guidelines: Minimum Information for Publication of Quantitative Digital PCR Experiments
    Huggett, Jim F.
    Foy, Carole A.
    Benes, Vladimir
    Emslie, Kerry
    Garson, Jeremy A.
    Haynes, Ross
    Hellemans, Jan
    Kubista, Mikael
    Mueller, Reinhold D.
    Nolan, Tania
    Pfaffl, Michael W.
    Shipley, Gregory L.
    Vandesompele, Jo
    Wittwer, Carl T.
    Bustin, Stephen A.
    [J]. CLINICAL CHEMISTRY, 2013, 59 (06) : 892 - 902
  • [12] 16S rRNA-based assays for quantitative detection of universal, human-, cow-, and dog-specific fecal Bacteroidales:: A Bayesian approach
    Kildare, Beverly J.
    Leutenegger, Christian M.
    McSwain, Belinda S.
    Bambic, Dustin G.
    Rajal, Veronica B.
    Wuertz, Stefan
    [J]. WATER RESEARCH, 2007, 41 (16) : 3701 - 3715
  • [13] Application of microbial source tracking methods in a Gulf of Mexico field setting
    Korajkic, A.
    Badgley, B. D.
    Brownell, M. J.
    Harwood, V. J.
    [J]. JOURNAL OF APPLIED MICROBIOLOGY, 2009, 107 (05) : 1518 - 1527
  • [15] Distribution and potential significance of a gull fecal marker in urban coastal and riverine areas of southern Ontario, Canada
    Lu, Jingrang
    Ryu, Hodon
    Hill, Stephen
    Schoen, Mary
    Ashbolt, Nicholas
    Edge, Thomas A.
    Domingo, Jorge Santo
    [J]. WATER RESEARCH, 2011, 45 (13) : 3960 - 3968
  • [16] Characterizing a model human gut microbiota composed of members of its two dominant bacterial phyla
    Mahowald, Michael A.
    Rey, Federico E.
    Seedorf, Henning
    Turnbaugh, Peter J.
    Fulton, Robert S.
    Wollam, Aye
    Shah, Neha
    Wang, Chunyan
    Magrini, Vincent
    Wilson, Richard K.
    Cantarel, Brandi L.
    Coutinho, Pedro M.
    Henrissat, Bernard
    Crock, Lara W.
    Russell, Alison
    Verberkmoes, Nathan C.
    Hettich, Robert L.
    Gordon, Jeffrey I.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (14) : 5859 - 5864
  • [17] Quantitative Analysis of Food and Feed Samples with Droplet Digital PCR
    Morisset, Dany
    Stebih, Dejan
    Milavec, Mojca
    Gruden, Kristina
    Zel, Jana
    [J]. PLOS ONE, 2013, 8 (05):
  • [18] Ontario Ministry of Health, 1998, BEACH MAN PROT SAF W
  • [19] Comparison of Gull Feces-Specific Assays Targeting the 16S rRNA Genes of Catellicoccus marimammalium and Streptococcus spp.
    Ryu, Hodon
    Griffith, John F.
    Khan, Izhar U. H.
    Hill, Stephen
    Edge, Thomas A.
    Toledo-Hernandez, Carlos
    Gonzalez-Nieves, Joel
    Domingo, Jorge Santo
    [J]. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2012, 78 (06) : 1909 - 1916
  • [20] Multi-laboratory evaluations of the performance of Catellicoccus marimammalium PCR assays developed to target gull fecal sources
    Sinigalliano, Christopher D.
    Ervin, Jared S.
    Van De Werfhorst, Laurie C.
    Badgley, Brian D.
    Balleste, Elisenda
    Bartkowiak, Jakob
    Boehm, Alexandria B.
    Byappanahalli, Muruleedhara
    Goodwin, Kelly D.
    Gourmelon, Michele
    Griffith, John
    Holden, Patricia A.
    Jay, Jenny
    Layton, Blythe
    Lee, Cheonghoon
    Lee, Jiyoung
    Meijer, Wim G.
    Noble, Rachel
    Raith, Meredith
    Ryu, Hodon
    Sadowsky, Michael J.
    Schriewer, Alexander
    Wang, Dan
    Wanless, David
    Whitman, Richard
    Wuertz, Stefan
    Domingo, Jorge W. Santo
    [J]. WATER RESEARCH, 2013, 47 (18) : 6883 - 6896