Literature DB >> 12420932

Identification of the sources of fecal coliforms in an urban watershed using antibiotic resistance analysis.

John E Whitlock1, David T Jones, Valerie J Harwood.   

Abstract

Bacteria such as fecal coliforms are used as indicators of fecal pollution in natural waters. These bacteria are found in the feces of most wild and domestic animals and thus provide no information as to the source of fecal contamination, yet identification of indicator bacteria sources allows improved risk assessment, remediation, and total daily maximum load (TDML) assessment of environmental waters. This bacterial source tracking study was initiated in order to identify the dominant source(s) of fecal contamination in the urban watershed of Stevenson Creek in Clearwater, Florida. Five sites that represent areas where routine monitoring has previously shown high levels of fecal coliforms were sampled over 7 months. Fecal coliforms were enumerated by membrane filtration, and antibiotic resistance analysis was used to "fingerprint" a subset of randomly selected isolates and statistically match them to fingerprints of fecal coliforms from known sources (the library). A field test of the classification accuracy of the library was carried out by isolating fecal coliforms from the soil and waters surrounding a failing onsite wastewater treatment and disposal system (OSTDS). The vast majority of the isolates were classified into the human category. The major sources of fecal pollution in Stevenson Creek over the course of the study were wild animal, human, and, to a lesser extent, dog. Overall, wild animal feces were identified as the dominant source when fecal coliform levels were high, but when fecal coliform levels were low, the dominant source was identified as human. The results of this study demonstrate that the sources of fecal indicator bacteria within one urban watershed can vary substantially over temporal and spatial distances.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12420932     DOI: 10.1016/s0043-1354(02)00139-2

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


  27 in total

1.  Use of antibiotic resistance analysis for representativeness testing of multiwatershed libraries.

Authors:  Bruce A Wiggins; Philip W Cash; Wes S Creamer; Scott E Dart; Preston P Garcia; Todd M Gerecke; Jennifer Han; Brian L Henry; Kylie B Hoover; Erika L Johnson; K C Jones; Jacquie G McCarthy; Justin A McDonough; Sarah A Mercer; Michael J Noto; Haewon Park; Matthew S Phillips; Stephanie M Purner; Brian M Smith; Erin N Stevens; Amy K Varner
Journal:  Appl Environ Microbiol       Date:  2003-06       Impact factor: 4.792

2.  Microbial Pollution Tracking of Dairy Farm with a Combined PCR-DGGE and qPCR Approach.

Authors:  Xiaoxia Xi; Jiachao Zhang; Laiyu Kwok; Dongxue Huo; Shuzhen Feng; Heping Zhang; Tiansong Sun
Journal:  Curr Microbiol       Date:  2015-09-04       Impact factor: 2.188

3.  Development of goose- and duck-specific DNA markers to determine sources of Escherichia coli in waterways.

Authors:  Matthew J Hamilton; Tao Yan; Michael J Sadowsky
Journal:  Appl Environ Microbiol       Date:  2006-06       Impact factor: 4.792

4.  Integrated risk framework for onsite wastewater treatment systems.

Authors:  Steven Carroll; Ashantha Goonetilleke; Evan Thomas; Megan Hargreaves; Ray Frost; Les Dawes
Journal:  Environ Manage       Date:  2006-08       Impact factor: 3.266

5.  Classification tree method for bacterial source tracking with antibiotic resistance analysis data.

Authors:  Bertram Price; Elichia A Venso; Mark F Frana; Joshua Greenberg; Adam Ware; Lee Currey
Journal:  Appl Environ Microbiol       Date:  2006-05       Impact factor: 4.792

Review 6.  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

7.  Fecal source tracking by antibiotic resistance analysis on a watershed exhibiting low resistance.

Authors:  Yolanda Olivas; Barton R Faulkner
Journal:  Environ Monit Assess       Date:  2007-06-12       Impact factor: 2.513

8.  Evidence for growth of enterococci in municipal oxidation ponds, obtained using antibiotic resistance analysis.

Authors:  Elaine Moriarty; Fariba Nourozi; Beth Robson; David Wood; Brent Gilpin
Journal:  Appl Environ Microbiol       Date:  2008-10-03       Impact factor: 4.792

9.  Temporal assessment of the impact of exposure to cow feces in two watersheds by multiple host-specific PCR assays.

Authors:  Yong-Jin Lee; Marirosa Molina; Jorge W Santo Domingo; Jonathan D Willis; Michael Cyterski; Dinku M Endale; Orin C Shanks
Journal:  Appl Environ Microbiol       Date:  2008-09-19       Impact factor: 4.792

10.  Sample size, library composition, and genotypic diversity among natural populations of Escherichia coli from different animals influence accuracy of determining sources of fecal pollution.

Authors:  LeeAnn K Johnson; Mary B Brown; Ethan A Carruthers; John A Ferguson; Priscilla E Dombek; Michael J Sadowsky
Journal:  Appl Environ Microbiol       Date:  2004-08       Impact factor: 4.792

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.