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Molecular characterization of Staphylococcus pseudintermedius strains isolated from clinical samples of animal origin

Overview of attention for article published in Folia Microbiologica, August 2011
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Title
Molecular characterization of Staphylococcus pseudintermedius strains isolated from clinical samples of animal origin
Published in
Folia Microbiologica, August 2011
DOI 10.1007/s12223-011-0064-7
Pubmed ID
Authors

D. Chrobak, M. Kizerwetter-Świda, M. Rzewuska, A. Moodley, L. Guardabassi, M. Binek

Abstract

The aim of this study was to determine the species distribution among 44 randomly selected clinical isolates (30 mecA-positive and 14 mecA-negative) of animal origin previously identified as Staphylococcus intermedius by phenotypic tests and species-specific PCR amplification of the 16S rRNA gene. For this purpose, we used a multiplex PCR for the detection of the nuc gene and restriction fragment length polymorphism analysis of pta gene amplified by PCR. Both methods allow discrimination of Staphylococcus pseudintermedius from the other closely related members of the S. intermedius group and other coagulase-positive staphylococci isolated from animals. Genetic diversity of S. pseudintermedius strains was analyzed by staphylococcal protein A-encoding gene (spa) typing. Multiplex PCR method was used to identify staphylococcal cassette chromosome mec (SCCmec) type in mecA-positive strains. All isolates previously identified as S. intermedius were shown to belong to S. pseudintermedius. According to PCR-based SCCmec typing, SCCmecIII was the most prevalent type (n = 23), and solely seven isolates were designated as non-typeable. Furthermore, the assessment of spa-typing results revealed that the majority of all strains (n = 27) harbored spa type t02, and 17 strains were classified as non-typeable.

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Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sri Lanka 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 22%
Professor > Associate Professor 5 16%
Student > Bachelor 4 13%
Researcher 3 9%
Student > Master 3 9%
Other 5 16%
Unknown 5 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 19%
Veterinary Science and Veterinary Medicine 5 16%
Immunology and Microbiology 5 16%
Medicine and Dentistry 4 13%
Biochemistry, Genetics and Molecular Biology 4 13%
Other 1 3%
Unknown 7 22%