Prevalence and clonal diversity of methicillin-resistant Staphylococcus aureus and methicillin-resistant Staphylococcus pseudintermedius isolated from dogs and cats with eye discharge.

Abstract

Objectives Methicillin-resistant Staphylococcus (MRS) has originated, spread extensively, and become a prominent source of bacterial infections in both human and animal. Methods We report the prevalence, genetic diversity, and antimicrobial resistance pattern of Staphylococcus pseudintermedius and Staphylococcus aureus strains isolated from dogs and cats with eye discharges. Results A total of 12 (6.0%) coagulase-positives staphylococci were identified as (6/200, 3%) S. aureus and (6/200, 3%) S. pseudintermedius. The phenotypic methicillin resistance of S. aureus and S. pseudintermedius were 50.0% (3/6) and 16.7% (1/6), respectively. None of the isolates showed biofilm formation in the microtiter plate assay. The highest resistance (50.0%) for S. pseudintermedius strains was detected against clindamycin and tetracycline. 67.0% of S. aureus isolates were resistant to penicillin-G. The PCR analysis conducted for detection of mecA gene indicated that only one S. aureus isolated from a cat was mecA gene positive. Phylogenetic analysis based on repetitive sequence-based PCR (rep-PCR) showed that all strains were typable and generated PCR products ranging from 800 bp to 4,400 bp. The lineages ST241 and the novel ST2361 in multi-locus sequence typing (MLST) analysis were detected in one methicillin-susceptible S. pseudintermedius and methicillin-resistant S. pseudintermedius of dogs, respectively. In addition, the lineages ST4155 and ST7217 of two methicillin-resistant S. aureus strains of cats were connected epidemiologically to previously reported cases. Conclusions These results indicate epidemiologically related strains (ST241, ST4155, and ST7217) transferring between animals and humans. Therefore, the strategies to combat the widespread MRS should be based on collaboration between human and veterinary medicine under the One Health concept.