Literature DB >> 10427038

Use of antibiotic resistance analysis to identify nonpoint sources of fecal pollution.

B A Wiggins1, R W Andrews, R A Conway, C L Corr, E J Dobratz, D P Dougherty, J R Eppard, S R Knupp, M C Limjoco, J M Mettenburg, J M Rinehardt, J Sonsino, R L Torrijos, M E Zimmerman.   

Abstract

A study was conducted to determine the reliability and repeatability of antibiotic resistance analysis as a method of identifying the sources of fecal pollution in surface water and groundwater. Four large sets of isolates of fecal streptococci (from 2,635 to 5,990 isolates per set) were obtained from 236 samples of human sewage and septage, cattle and poultry feces, and pristine waters. The patterns of resistance of the isolates to each of four concentrations of up to nine antibiotics were analyzed by discriminant analysis. When isolates were classified individually, the average rate of correct classification (ARCC) into four possible types (human, cattle, poultry, and wild) ranged from 64 to 78%. When the resistance patterns of all isolates from each sample were averaged and the resulting sample-level resistance patterns were classified, the ARCCs were much higher (96 to 100%). These data confirm that there are measurable and consistent differences in the antibiotic resistance patterns of fecal streptococci isolated from various sources of fecal pollution and that antibiotic resistance analysis can be used to classify and identify these sources.

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Year:  1999        PMID: 10427038      PMCID: PMC91523     

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


  10 in total

1.  Antibiotic resistance indexing of Escherichia coli to identify sources of fecal contamination in water.

Authors:  C W Kaspar; J L Burgess; I T Knight; R R Colwell
Journal:  Can J Microbiol       Date:  1990-12       Impact factor: 2.419

2.  Discriminant analysis of antibiotic resistance patterns in fecal streptococci, a method to differentiate human and animal sources of fecal pollution in natural waters.

Authors:  B A Wiggins
Journal:  Appl Environ Microbiol       Date:  1996-11       Impact factor: 4.792

3.  Distribution of ribonucleic acid coliphages in raw sewage from treatment plants in Japan.

Authors:  K Furuse; A Ando; S Osawa; I Watanabe
Journal:  Appl Environ Microbiol       Date:  1981-05       Impact factor: 4.792

4.  Antibiotic resistance patterns of gram-negative bacteria isolated from environmental sources.

Authors:  W J Kelch; J S Lee
Journal:  Appl Environ Microbiol       Date:  1978-09       Impact factor: 4.792

5.  Human origin of Bacteroides fragilis bacteriophages present in the environment.

Authors:  C Tartera; F Lucena; J Jofre
Journal:  Appl Environ Microbiol       Date:  1989-10       Impact factor: 4.792

6.  Enumeration by a miniaturized method of Escherichia coli, Streptococcus bovis and enterococci as indicators of the origin of faecal pollution of waters.

Authors:  A M Pourcher; L A Devriese; J F Hernandez; J M Delattre
Journal:  J Appl Bacteriol       Date:  1991-06

7.  Use of fecal streptococci as indicators of pollution in soil.

Authors:  H J Kibbey; C Hagedorn; E L McCoy
Journal:  Appl Environ Microbiol       Date:  1978-04       Impact factor: 4.792

8.  Genotype analysis of Escherichia coli strains isolated from children and chickens living in close contact.

Authors:  S Kariuki; C Gilks; J Kimari; A Obanda; J Muyodi; P Waiyaki; C A Hart
Journal:  Appl Environ Microbiol       Date:  1999-02       Impact factor: 4.792

9.  Multiple antibiotic resistance indexing of Escherichia coli to identify high-risk sources of fecal contamination of foods.

Authors:  P H Krumperman
Journal:  Appl Environ Microbiol       Date:  1983-07       Impact factor: 4.792

10.  Distribution of ribonucleic acid coliphages in animals.

Authors:  S Osawa; K Furuse; I Watanabe
Journal:  Appl Environ Microbiol       Date:  1981-01       Impact factor: 4.792

  10 in total
  29 in total

1.  Classification of antibiotic resistance patterns of indicator bacteria by discriminant analysis: use in predicting the source of fecal contamination in subtropical waters.

Authors:  V J Harwood; J Whitlock; V Withington
Journal:  Appl Environ Microbiol       Date:  2000-09       Impact factor: 4.792

2.  A PCR assay To discriminate human and ruminant feces on the basis of host differences in Bacteroides-Prevotella genes encoding 16S rRNA.

Authors:  A E Bernhard; K G Field
Journal:  Appl Environ Microbiol       Date:  2000-10       Impact factor: 4.792

3.  Molecular approaches to microbiological monitoring: fecal source detection.

Authors:  Katharine G Field; Anne E Bernhard; Timothy J Brodeur
Journal:  Environ Monit Assess       Date:  2003 Jan-Feb       Impact factor: 2.513

Review 4.  Microbial source tracking: current methodology and future directions.

Authors:  Troy M Scott; Joan B Rose; Tracie M Jenkins; Samuel R Farrah; Jerzy Lukasik
Journal:  Appl Environ Microbiol       Date:  2002-12       Impact factor: 4.792

5.  Use of repetitive DNA sequences and the PCR To differentiate Escherichia coli isolates from human and animal sources.

Authors:  P E Dombek; L K Johnson; S T Zimmerley; M J Sadowsky
Journal:  Appl Environ Microbiol       Date:  2000-06       Impact factor: 4.792

6.  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

7.  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 8.  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

9.  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

10.  Genetic characterization of Escherichia coli populations from host sources of fecal pollution by using DNA fingerprinting.

Authors:  Sandra L McLellan; Annette D Daniels; Alissa K Salmore
Journal:  Appl Environ Microbiol       Date:  2003-05       Impact factor: 4.792

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