Literature DB >> 21279641

Differentiation of fecal Escherichia coli from human, livestock, and poultry sources by rep-PCR DNA fingerprinting on the shellfish culture area of East China Sea.

Hong-Jia Ma1, Ling-Lin Fu, Jian-Rong Li.   

Abstract

The rep-PCR DNA fingerprinting performed with REP, BOX A1R, and (GTG)(5) primers was investigated as a way to differentiate between human, livestock, and poultry sources of fecal pollution on the area of Xiangshan Bay, East China Sea. Of the three methods, the BOX-PCR DNA fingerprints analyzed by jack-knife algorithm were revealed high rate of correct classification (RCC) with 91.30, 80.39, 89.39, 86.14, 93.24, 87.72, and 89.28% of human, cattle, swine, chicken, duck, sheep, and goose E. coli isolates classified into the correct host source, respectively. The average rate of correct classification (ARCC) of REP-, BOX-, and (GTG)(5)-PCR patterns was 79.88, 88.21, and 86.39%, respectively. Although the highest amount of bands in (GTG)(5)-PCR fingerprints could be observed, the discriminatory efficacy of BOX-PCR was superior to both REP- and (GTG)(5)-PCR. Moreover, the similarity of 459 isolates originated from shellfish and growing water was compared with fecal-obtained strains. The results showed that 92.4 and 96.2% E. coli strains isolated from midstream and downstream shellfish samples, respectively, had a ≥ 80% similarity with corresponding strains isolated from fecal samples. It was indicated that E. coli in feces could spread from human sewage or domestic farms to the surrounding shellfish culture water, and potentially affect the quality of shellfish. This work suggests that rep-PCR fingerprinting can be a promising genotypic tool applied in the shellfish growing water management on East China Sea for source identification of fecal pollution.

Entities:  

Mesh:

Year:  2011        PMID: 21279641     DOI: 10.1007/s00284-011-9870-z

Source DB:  PubMed          Journal:  Curr Microbiol        ISSN: 0343-8651            Impact factor:   2.188


  23 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

Review 2.  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

3.  Microbial source tracking in a small southern California urban watershed indicates wild animals and growth as the source of fecal bacteria.

Authors:  Sunny C Jiang; Weiping Chu; Betty H Olson; Jian-Wen He; Samuel Choi; Jenny Zhang; Joanne Y Le; Phillip B Gedalanga
Journal:  Appl Microbiol Biotechnol       Date:  2007-06-23       Impact factor: 4.813

4.  Microbial source tracking in a rural watershed dominated by cattle.

Authors:  A K Graves; C Hagedorn; A Brooks; R L Hagedorn; E Martin
Journal:  Water Res       Date:  2007-05-01       Impact factor: 11.236

5.  Identifying host sources of fecal pollution: diversity of Escherichia coli in confined dairy and swine production systems.

Authors:  Zexun Lu; David Lapen; Andrew Scott; Angela Dang; Edward Topp
Journal:  Appl Environ Microbiol       Date:  2005-10       Impact factor: 4.792

6.  Numerical index of the discriminatory ability of typing systems: an application of Simpson's index of diversity.

Authors:  P R Hunter; M A Gaston
Journal:  J Clin Microbiol       Date:  1988-11       Impact factor: 5.948

7.  Comparison of ribotyping and repetitive extragenic palindromic-PCR for identification of fecal Escherichia coli from humans and animals.

Authors:  C Andrew Carson; Brian L Shear; Mark R Ellersieck; Jennifer D Schnell
Journal:  Appl Environ Microbiol       Date:  2003-03       Impact factor: 4.792

8.  Comparison of five rep-PCR genomic fingerprinting methods for differentiation of fecal Escherichia coli from humans, poultry and wild birds.

Authors:  Bidyut R Mohapatra; Klaas Broersma; Asit Mazumder
Journal:  FEMS Microbiol Lett       Date:  2007-12       Impact factor: 2.742

9.  Genotype diversity of Escherichia coli isolates in natural waters determined by PFGE and ERIC-PCR.

Authors:  Elizabeth A Casarez; Suresh D Pillai; George D Di Giovanni
Journal:  Water Res       Date:  2007-05-02       Impact factor: 11.236

10.  Space/time analysis of fecal pollution and rainfall in an eastern North Carolina estuary.

Authors:  Angela D Coulliette; Eric S Money; Marc L Serre; Rachel T Noble
Journal:  Environ Sci Technol       Date:  2009-05-15       Impact factor: 9.028

View more
  2 in total

1.  Application of Faecalibacterium 16S rDNA genetic marker for accurate identification of duck faeces.

Authors:  Da Sun; Chuanren Duan; Yaning Shang; Yunxia Ma; Lili Tan; Jun Zhai; Xu Gao; Jingsong Guo; Guixue Wang
Journal:  Environ Sci Pollut Res Int       Date:  2016-01-08       Impact factor: 4.223

2.  E. coli Surface Properties Differ between Stream Water and Sediment Environments.

Authors:  Xiao Liang; Chunyu Liao; Michael L Thompson; Michelle L Soupir; Laura R Jarboe; Philip M Dixon
Journal:  Front Microbiol       Date:  2016-11-01       Impact factor: 5.640

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.