Literature DB >> 11376061

Rapid identification of Campylobacter spp. by melting peak analysis of biprobes in real-time PCR.

J M Logan1, K J Edwards, N A Saunders, J Stanley.   

Abstract

We describe rapid PCR-biprobe identification of Campylobacter spp. This is based on real-time PCR with product analysis in the same system. The assay identifies enteropathogenic campylobacters to the species level on the basis of their degree of hybridization to three 16S ribosomal DNA (rDNA) biprobes. First-round symmetric PCR is performed with genus-specific primers which selectively target and amplify a portion of the 16S rRNA gene common to all Campylobacter species. Second-round asymmetric PCR is performed in a LightCycler in the presence of one of three biprobes; the identity of an amplified DNA-biprobe duplex is established after determination of the species-specific melting peak temperature. The biprobe specificities were determined by testing 37 reference strains of Campylobacter, Helicobacter, and Arcobacter spp. and 59 Penner serotype reference strains of Campylobacter jejuni and C. coli. From the combination of melting peak profiles for each probe, an identification scheme was devised which accurately detected the five taxa pathogenic for humans (C. jejuni/C. coli, C. lari, C. upsaliensis, C. hyointestinalis, and C. fetus), as well as C. helveticus and C. lanienae. The assay was evaluated with 110 blind-tested field isolates; when the code was broken their previous phenotypic species identification was confirmed in every case. The PCR-biprobe assay also identified campylobacters directly from fecal DNA. PCR-biprobe testing of stools from 38 diarrheic subjects was 100% concordant with PCR-enzyme-linked immunosorbent assay identification (13, 20) and thus more sensitive than phenotypic identification following microaerobic culture.

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Year:  2001        PMID: 11376061      PMCID: PMC88115          DOI: 10.1128/JCM.39.6.2227-2232.2001

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


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