Literature DB >> 12175050

Antibiotic resistance profiles to determine sources of fecal contamination in a rural Virginia watershed.

Alexandria K Graves1, Charles Hagedorn, Alison Teetor, Michelle Mahal, Amy M Booth, Raymond B Reneau.   

Abstract

Antibiotic resistance analysis (ARA) was used to determine if enterococci of human origin were present in a stream (Spout Run) that passes through a rural nonsewered community (Millwood, VA). Millwood consists of 82 homes, all served by individual septic systems, and Spout Run drains a 5,800-ha karst topography watershed that contains large populations of livestock and wildlife. Periodic monitoring by state regulatory officials had resulted in Spout Run being placed on the Virginia impaired stream list and Millwood being categorized as an at-risk community. Stream samples were collected monthly and analyzed for fecal coliforms and enterococci (May 1999-May 2000); ARA was performed on enterococci stream isolates on a quarterly basis. All 117 stream samples were positive for fecal coliforms, and 32% exceeded the Virginia recreational water standard (1,000 fecal coliforms/100 mL). A library of 1,174 known source Enterococcus isolate antibiotic resistance profiles was constructed, and yielded correct classification rates of 94.6% for 203 human isolates, 93.7% for 734 livestock isolates, and 87.8% for 237 wildlife isolates. Antibiotic resistance analysis of 2,012 enterococcal isolates recovered from stream samples indicated isolates of human origin appeared throughout the stream as it passed through Millwood, with a yearly average of approximately 10% human, 40% wildlife, and 50% livestock. There were no human origin isolates in samples collected upstream from Millwood, and the percent human origin isolates declined downstream from Millwood. While a human signature was found in Spout Run, it was small compared with the proportion of isolates from livestock and wildlife.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12175050     DOI: 10.2134/jeq2002.1300

Source DB:  PubMed          Journal:  J Environ Qual        ISSN: 0047-2425            Impact factor:   2.751


  18 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.  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 3.  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

4.  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

5.  A comparison of BOX-PCR and pulsed-field gel electrophoresis to determine genetic relatedness of enterococci from different environments.

Authors:  Charlene R Jackson; Vesna Furtula; Erin G Farrell; John B Barrett; Lari M Hiott; Patricia Chambers
Journal:  Microb Ecol       Date:  2012-03-02       Impact factor: 4.552

6.  Distribution of ten antibiotic resistance genes in E. coli isolates from swine manure, lagoon effluent and soil collected from a lagoon waste application field.

Authors:  A K Graves; L Liwimbi; D W Israel; E van Heugten; B Robinson; C W Cahoon; J F Lubbers
Journal:  Folia Microbiol (Praha)       Date:  2011-03-29       Impact factor: 2.099

7.  Patterns of antimicrobial resistance observed in Escherichia coli isolates obtained from domestic- and wild-animal fecal samples, human septage, and surface water.

Authors:  Raida S Sayah; John B Kaneene; Yvette Johnson; RoseAnn Miller
Journal:  Appl Environ Microbiol       Date:  2005-03       Impact factor: 4.792

8.  Evidence for the clustering of antibacterial resistance phenotypes of enterococci within integrated poultry companies.

Authors:  Eve Pleydell; Lynn Rogers; Errol Kwan; Nigel French
Journal:  Microb Ecol       Date:  2010-01-15       Impact factor: 4.552

9.  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

10.  High diversity among environmental Escherichia coli isolates from a bovine feedlot.

Authors:  Hsiao-Hui Yang; Robert T Vinopal; Domenico Grasso; Barth F Smets
Journal:  Appl Environ Microbiol       Date:  2004-03       Impact factor: 4.792

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.