Comparison of Genotypic and Phenotypic Methods for Species-Level Identification of Clinical Isolates of Coagulase-Negative Staphylococci

To compare commonly used phenotypic methods with genotypic identification methods 47 clinical isolates of coagulase-negative staphylococci (CONS), 10 CONS ATCC strains, and a Staphylococcus aureus clinical isolate were identified using the API Staph ID test, BD Phoenix Automated Microbiology System,...

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Bibliographic Details
Published in:Journal of Clinical Microbiology Vol. 43; no. 5; pp. 2286 - 2290
Main Authors: Heikens, E, Fleer, A, Paauw, A, Florijn, A, Fluit, A. C
Format: Journal Article
Language:English
Published: Washington, DC American Society for Microbiology 01-05-2005
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Summary:To compare commonly used phenotypic methods with genotypic identification methods 47 clinical isolates of coagulase-negative staphylococci (CONS), 10 CONS ATCC strains, and a Staphylococcus aureus clinical isolate were identified using the API Staph ID test, BD Phoenix Automated Microbiology System, and 16S rRNA gene and tuf gene sequencing. When necessary part of the sodA gene was sequenced for definitive identification. The results show that tuf gene sequencing is the best method for identification of CONS, but the API Staph ID test is a reasonably reliable phenotypic alternative. The performance of the BD Phoenix Automated Microbiology System for identification of CONS is poor. The present study also showed that although genotypic methods are clearly superior to phenotypic identifications, a drawback of sequence-based genotypic methods may be a lack of quality of deposited sequences in data banks. In particular, 16S rRNA gene sequencing suffers from the lack of high quality among sequences deposited in GenBank. Furthermore, genotypic identification based on 16S rRNA sequences has limited discriminating power for closely related Staphylococcus species. We propose partial sequencing of the tuf gene as a reliable and reproducible method for identification of CONS species.
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Corresponding author. Mailing address: Eijkman-Winkler Institute, University Medical Center Utrecht, Utrecht, The Netherlands. Phone: 31302507630. Fax: 31302541770. E-mail: A.C.Fluit@lab.azu.nl.
ISSN:0095-1137
1098-660X
DOI:10.1128/jcm.43.5.2286-2290.2005