Quantification and differentiation of Campylobacter jejuni and Campylobacter coli in raw chicken meats using a real-time PCR method

J Food Prot. 2007 Sep;70(9):2015-22. doi: 10.4315/0362-028x-70.9.2015.

Abstract

Campylobacter species are one of the most common causes of bacterial diarrhea in humans worldwide. The consumption of foods contaminated with two Campylobacter species, C. jejuni and C. coli, is usually associated with most of the infections in humans. In this study, a rapid, reliable, and sensitive multiplex real-time quantitative PCR was developed for the simultaneous detection, identification, and quantification of C. jejuni and C. coli. In addition, the developed method was applied to the 50 samples of raw chicken meat collected from retail stores in Korea. C. jejuni and C. coli were detected in 88 and 86% of the samples by real-time quantitative PCR and the conventional microbiological method, respectively. The specificity of the primer and probe sets was confirmed with 30 C. jejuni, 20 C. coli, and 35 strains of other microbial species. C. jejuni and C. coli could be detected with high specificity in less than 4 h, with a detection limit of 1 log CFU/ml by the developed real-time PCR. The average counts (log CFU per milliliter) of C. jejuni or C. coli obtained by the conventional methods and by the real-time PCR assay were statistically correlated with a correlation coefficient (R2) between 0.73 and 0.78. The real-time PCR assay developed in this study is useful for screening for the presence and simultaneous differential quantification of C. jejuni and C. coli.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Campylobacter coli / isolation & purification*
  • Campylobacter jejuni / isolation & purification*
  • Chickens
  • Colony Count, Microbial
  • Food Contamination / analysis*
  • Food Microbiology
  • Humans
  • Meat / microbiology*
  • Polymerase Chain Reaction / methods*
  • Risk Assessment
  • Sensitivity and Specificity
  • Species Specificity
  • Time Factors