Literature DB >> 22931208

Comparison of different sampling strategies and laboratory methods for the detection of C. jejuni and C. coli from broiler flocks at primary production.

A B Vidal1, J Rodgers, M Arnold, F Clifton-Hadley.   

Abstract

The objective of the study was to evaluate the performance of different combinations of sample type, transport medium and culture methods for the recovery of Campylobacter jejuni and C. coli from broiler flocks at primary production. Boot swabs moistened with one of four different transport media [maximum recovery diluent (n=120), Exeter broth (EX) (n=120), buffered peptone water (n=120) and modified semi-solid Cary-Blair (n=120)], caecal samples (n=40) and faecal samples (n=120) from 40 broiler flocks were compared and sensitivity estimates obtained using a Bayesian model. Samples were cultured onto mCCDA before and after enrichment in EX and incubated microaerobically at 41.5°C. Campylobacter suspect colonies were identified to the species level by multiplex PCR. Results from the Bayesian model indicated that boot swabs after enrichment had higher sensitivity (90-94%) than caecal contents before or after enrichment (84% and 89%, respectively) and faecal samples after enrichment (82%) for the detection of Campylobacter spp., although these differences were not statistically significant. Enrichment significantly increased the sensitivity of boot swab and caecal samples for detection of Campylobacter spp. and C. jejuni, respectively. However, the enrichment of caecal samples resulted in a significant decrease in the sensitivity of these samples for detection of C. coli. There was much greater variation in the sensitivity estimates of the methods for detecting C. coli than for C. jejuni, and the ranking of methods was different between the two species. Boot swabs gave the best sensitivity values for detection of C. jejuni, and enrichment culture of faecal samples was the most sensitive method for detection of C. coli.
© 2012 Blackwell Verlag GmbH.

Entities:  

Keywords:  Bayesian; Campylobacter; boot swabs; broilers; primary production; sampling

Mesh:

Year:  2012        PMID: 22931208     DOI: 10.1111/zph.12009

Source DB:  PubMed          Journal:  Zoonoses Public Health        ISSN: 1863-1959            Impact factor:   2.702


  5 in total

1.  Estimating the time at which commercial broiler flocks in Great Britain become infected with Campylobacter: a Bayesian approach.

Authors:  A D Goddard; M E Arnold; V M Allen; E L Snary
Journal:  Epidemiol Infect       Date:  2013-11-20       Impact factor: 4.434

2.  Genetic Diversity of Campylobacter jejuni and Campylobacter coli Isolates from Conventional Broiler Flocks and the Impacts of Sampling Strategy and Laboratory Method.

Authors:  A B Vidal; F M Colles; J D Rodgers; N D McCarthy; R H Davies; M C J Maiden; F A Clifton-Hadley
Journal:  Appl Environ Microbiol       Date:  2016-04-04       Impact factor: 4.792

3.  Bayesian analysis of culture and PCR methods for detection of Campylobacter spp. in broiler caecal samples.

Authors:  M E Arnold; E M Jones; J R Lawes; A B Vidal; F A Clifton-Hadley; J D Rodgers; L F Powell
Journal:  Epidemiol Infect       Date:  2014-03-20       Impact factor: 4.434

4.  Monitoring chicken flock behaviour provides early warning of infection by human pathogen Campylobacter.

Authors:  Frances M Colles; Russell J Cain; Thomas Nickson; Adrian L Smith; Stephen J Roberts; Martin C J Maiden; Daniel Lunn; Marian Stamp Dawkins
Journal:  Proc Biol Sci       Date:  2016-01-13       Impact factor: 5.349

5.  Genotyping and molecular characterization of antimicrobial resistance in thermophilic Campylobacter isolated from poultry breeders and their progeny in Eastern Spain.

Authors:  C Marin; S Sevilla-Navarro; R Lonjedo; P Catalá-Gregori; M A Ferrús; S Vega; A Jiménez-Belenguer
Journal:  Poult Sci       Date:  2020-07-08       Impact factor: 3.352

  5 in total

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