Investigation of antimicrobial susceptibility and genetic diversity among Staphylococcus pseudintermedius isolated from dogs in Rio de Janeiro.

Staphylococcus pseudintermedius is an opportunistic pathogen causing a variety of infections that are difficult to treat, especially because of the development of antimicrobial resistance. It has a clonal distribution around the world. To have a better understanding of the MRSP population, we search the presence of MRSP in colonized or infected dogs. Samples from 99 dogs with infections and 35 from asymptomatic dogs were collected. Isolates were identified by mass spectrometry and Multiplex-PCR. The mecA gene was confirmed by conventional PCR. MRSP strains were analyzed by whole-genome sequencing. 75 S. pseudintermedius were identified, most from infection cases. The species were isolated from 70 out of the 135 dogs. Penicillin and Trimethoprim/Sulfamethoxazole presented higher resistance rates. Forty-seven strains were classified as multi-drug resistant (MDR), and were more isolated from dogs with infection (P < 0.05). Eighteen samples were classified as MRSP, representing 24.0% of the population. Six of 16 MRSP sequenced samples belonged to the world spread clone ST71; others belonged to unknown clones. Most samples carried the SCCmec type IIIA. Twenty-one different genetic resistance determinants were found among MRPS strains. MRSP is circulating among infected and colonized dogs in Rio de Janeiro, Brazil.

Matrix-assisted laser desorption ionization-time of flight mass spectrometry-based method for accurate discrimination of Staphylococcus schleiferi subspecies.

S. schleiferi is one of the main species isolated from canine otitis externa, pyoderma and from apparently healthy dogs. The species is divided into two subspecies, S. schleiferi schleiferi and S. schleiferi coagulans. MALDI-TOF MS does not distinguish correctly these two subspecies. This study aimed to identify biomarkers that could possibly discriminate Staphylococcus schleiferi subspecies by MALDI-TOF MS. Twelve strains (eight S. schleiferi schleiferi and four S. schleiferi coagulans) were firstly identified. Each isolate was submitted to a protein extraction protocol and subjected to spectrometry on Bruker Microflex LT mass spectrometer. Spectra were analyzed with the BioNumerics software v7.6. Our results showed that spectra clustered according to subspecies, and a set of five MALDI-TOF MS biomarkers were selected to enable the discrimination of S. schleiferi subspecies. In addition, these biomarkers were predicted to represent highly conserved proteins, which could contribute to the identification of subspecies-specific proteins that could be used for improved subspecies identification in clinical samples.