Literature DB >> 12929818

Rapid detection of Campylobacter jejuni in chicken rinse water by melting-peak analysis of amplicons in real-time polymerase chain reaction.

Zhihui Cheng1, Mansel W Griffiths.   

Abstract

Five DNA extraction protocols for the detection of Campylobacter spp. by polymerase chain reaction (PCR) were compared. A method involving Triton X-100 produced template DNA of sufficient quality to allow the detection of Campylobacter jejuni at levels of 100 CFU/ml in pure culture. Primers were designed on the basis of the cadF gene sequence. With a SYBR Green I real-time PCR assay, these primers amplified only sequences present in C. jejuni to produce a product with a melting temperature of 81.5 degrees C. None of the strains of Campylobacter coli, Campylobacter lari, or Campylobacter fetus tested produced this product during the PCR assay. Other noncampylobacter species tested were shown not to possess the cadF sequence. The real-time PCR combined with a rapid, simple Triton X-100 DNA extraction protocol made it possible to detect < 10 CFU of C. jejuni per ml of chicken rinse within 14 h.

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Year:  2003        PMID: 12929818     DOI: 10.4315/0362-028x-66.8.1343

Source DB:  PubMed          Journal:  J Food Prot        ISSN: 0362-028X            Impact factor:   2.077


  4 in total

1.  Detection of Campylobacter spp. in chicken fecal samples by real-time PCR.

Authors:  Marianne Lund; Steen Nordentoft; Karl Pedersen; Mogens Madsen
Journal:  J Clin Microbiol       Date:  2004-11       Impact factor: 5.948

2.  Real-time PCR approach for detection of environmental sources of Campylobacter strains colonizing broiler flocks.

Authors:  Anne M Ridley; Vivien M Allen; Meenaxi Sharma; Jill A Harris; Diane G Newell
Journal:  Appl Environ Microbiol       Date:  2008-01-18       Impact factor: 4.792

3.  Enrichment followed by quantitative PCR both for rapid detection and as a tool for quantitative risk assessment of food-borne thermotolerant campylobacters.

Authors:  M H Josefsen; N R Jacobsen; J Hoorfar
Journal:  Appl Environ Microbiol       Date:  2004-06       Impact factor: 4.792

4.  Use of DNA melting simulation software for in silico diagnostic assay design: targeting regions with complex melting curves and confirmation by real-time PCR using intercalating dyes.

Authors:  John P Rasmussen; Christopher P Saint; Paul T Monis
Journal:  BMC Bioinformatics       Date:  2007-03-29       Impact factor: 3.169

  4 in total

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