Literature DB >> 15956411

Species-level identification of staphylococcal isolates by real-time PCR and melt curve analysis.

Aine Skow1, Kathy A Mangold, Mohammed Tajuddin, Anne Huntington, Brett Fritz, Richard B Thomson, Karen L Kaul.   

Abstract

A real-time PCR assay was developed to identify common staphylococcal species. A single set of consensus primers was designed to amplify a portion of the 16S rRNA gene, and a pair of fluorescence resonance energy transfer probes was used to identify species based on the unique melt properties of the probes resulting from sequence variations in the amplicons from each species. Nine common staphylococcal strains (S. aureus, S. capitis, S. epidermidis, S. haemolyticus, S. hominis, S. lugdunensis, S. schleiferi, S. simulans, and S. warneri) were used for assay development. The species-specific melting profiles were validated by correctly identifying 36 of 37 coagulase-negative staphylococcal (CoNS) isolates identified by ribotyping. In a study of clinical isolates, the PCR/melt curve approach correctly identified 56/56 S. aureus isolates identified by coagulase/protein A latex agglutination. Fifty-four CoNS clinical isolates characterized using the API Staph assay were studied, with the PCR/melt curve approach yielding matching identifications for 32/54 (59%). The API Staph assay was unable to identify 18 CoNS isolates, and differing results were obtained for 4 isolates. Sequencing of the 22 discrepant or unidentified CoNS samples revealed that the PCR/melt curve results were correct for all but one isolate. Thus, PCR/melt curve analysis achieved a nearly 100% accuracy and performed better than biochemical testing. Performance of the PCR/melt curve approach requires less than 2 h after colony selection. This method thus provides a rapid and accurate approach to the identification of staphylococcal species in the clinical laboratory.

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Year:  2005        PMID: 15956411      PMCID: PMC1151902          DOI: 10.1128/JCM.43.6.2876-2880.2005

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


  22 in total

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