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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
immunology and microbiology
Comparison of phenotypic and genotypic methods for the species identification of coagulase-negative staphylococcal isolates from bovine intramammary infections
Veterinary Microbiology, Volume 147, No. 1-2, Year 2011
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Description
Coagulase-negative staphylococci (CNS) are the most frequently isolated pathogens from cows with intramammary infection (IMI). Although API STAPH ID 20, a commercially available identification system, and PCR-restriction fragment length polymorphism (PCR-RFLP) of the gap gene (gap PCR-RFLP) have been successfully applied for the identification of CNS isolates from human specimens, their accuracy in the identification of veterinary isolates has not been fully established. In this study, we identified 263 CNS isolates from bovine IMI at species level by partial 16S rRNA gene sequence analysis as the definitive test. Species identification obtained using partial 16S rRNA gene sequence analysis was compared to results from the API STAPH ID 20 and gap PCR-RFLP analysis. Eleven different CNS species were identified by partial 16S rRNA gene sequence analysis. Only 76.0% (200/263) of the species identification results obtained by API STAPH ID 20 matched those obtained by partial 16S rRNA gene sequence analysis, whereas 97.0% (255/263) of the species identification results obtained by the gap PCR-RFLP analysis matched those obtained by partial 16S rRNA gene sequence analysis. The gap PCR-RFLP analysis could be a useful and reliable alternative method for the species identification of CNS isolates from bovine IMI and appears to be a more accurate method of species identification than the API STAPH ID 20 system. © 2010 Elsevier B.V.
Authors & Co-Authors
Fox, Lawrence K.
United States, Pullman
Washington State University Pullman
Seo, Keun-seok
United States, Moscow
University of Idaho
McGuire, Mark A.
United States, Moscow
University of Idaho
Park, Yong-ho
South Korea, Seoul
Seoul National University
Rurangirwa, Fred R.
United States, Pullman
Washington State University Pullman
Sischo, William Martin
United States, Pullman
Washington State University Pullman
Bohach, Gregory A.
United States, Moscow
University of Idaho
Statistics
Citations: 51
Authors: 7
Affiliations: 3
Identifiers
Doi:
10.1016/j.vetmic.2010.06.020
ISSN:
03781135
Research Areas
Genetics And Genomics