Skip to main content
Browse Subject Areas

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

The molecular epidemiology and antimicrobial resistance of Staphylococcus pseudintermedius canine clinical isolates submitted to a veterinary diagnostic laboratory in South Africa

  • Lufuno Phophi,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft

    Affiliation Department of Biomedical and Diagnostic Sciences, University of Tennessee, College of Veterinary Medicine, Knoxville, TN, United States of America

  • Mohamed Abouelkhair,

    Roles Data curation, Formal analysis, Investigation, Methodology, Validation

    Affiliation Department of Biomedical and Diagnostic Sciences, University of Tennessee, College of Veterinary Medicine, Knoxville, TN, United States of America

  • Rebekah Jones,

    Roles Data curation, Investigation, Methodology, Validation

    Affiliation Department of Biomedical and Diagnostic Sciences, University of Tennessee, College of Veterinary Medicine, Knoxville, TN, United States of America

  • Maryke Henton,

    Roles Conceptualization, Data curation, Resources, Validation, Writing – review & editing

    Affiliation Vetdiagnostix Veterinary Pathology Services, Midrand, Gauteng, South Africa

  • Daniel N. Qekwana,

    Roles Conceptualization, Data curation, Methodology, Validation, Writing – review & editing

    Affiliation Faculty of Veterinary Science, Veterinary Public Health and Epidemiology, University of Pretoria, Pretoria, South Africa

  • Stephen A. Kania

    Roles Conceptualization, Investigation, Project administration, Resources, Supervision, Validation, Writing – review & editing

    Affiliation Department of Biomedical and Diagnostic Sciences, University of Tennessee, College of Veterinary Medicine, Knoxville, TN, United States of America


Staphylococcus pseudintermedius is an important cause of clinical infections in small-animal-veterinary medicine. Evolutionary changes of strains using multilocus sequence typing (MLST) have been observed among S. pseudintermedius in European countries and the United States. However, there are limited or no studies on the detection of methicillin resistant Staphylococcus pseudintermedius (MRSP) and predominating MLST strains in South Africa. Therefore, this study aimed to determine the molecular epidemiology of S. pseudintermedius in South Africa. Twenty-six, non-duplicate, clinical isolates from dogs were obtained as convenience samples from four provinces in South Africa. The Kirby Bauer disk diffusion test was used to determine antimicrobial susceptibility. We used Resfinder and the Comprehensive Antibiotic Resistance Database (CARD) to detect antimicrobial resistance genes. Virulence genes were identified using the virulence factor database and Basic Local Alignment Search Tool (BLASTN) on Geneious prime. geoBURST analysis was used to study relationships between MLST. Finally, the maximum likelihood phylogeny was determined using Randomized Axelerated Maximum Likelihood (RAxML). Twenty-three isolates were confirmed as S. pseudintermedius of which 14 were MRSP. In addition to β-lactam antimicrobials, MRSP isolates were resistant to tetracycline (85.7%), doxycycline (92.8%), kanamycin (92.8%), and gentamicin (85.7%). The isolates harbored antimicrobial resistance genes (tetM, ermB, drfG, cat, aac(6’)-Ie-aph(2”)-Ia, ant(6)-Ia, and aph(3’)-III) and virulence genes (AdsA, geh, icaA, and lip). MLST analysis showed that ST2228, ST2229, ST2230, ST2231, ST2232, ST2318, ST2326 and ST2327 are unique sequence types in South Africa. Whereas, previously reported major STs including ST45, ST71, ST181, ST551 and ST496 were also detected. The geoBURST and phylogenetic analysis suggests that the isolates in South Africa are likely genetically related to isolates identified in other countries. Highly resistant MRSP strains (ST496, ST71, and ST45) were reported that could present challenges in the treatment of canine infections in South Africa. Hence, we have gained a better understanding of the epidemiology of MRSP in the African continent, the genes involved in resistance and virulence factors associated with these organisms.


In dogs, Staphylococcus pseudintermedius is a commensal bacterium that affects the skin and mucosa and can transiently colonize human beings [14]. There is an increasing prevalence of MRSP globally and they have become a threat to the successful treatment of infections in small-animal-veterinary-medicine [1,57]. Methicillin resistance in S. pseudintermedius is attributed primarily to the mecA gene harbored within a mobile genetic element called SCCmec which encodes penicillin binding protein 2a (PBP2a) [810]. The PBP2a allows for cell wall biosynthesis in the presence of most β-lactam antibiotics, thereby inducing resistance [11,12]. S. pseudintermedius is the most common staphylococcal species isolated from dogs in South Africa [13]. Recently, a study conducted by Prior et al. revealed a high occurrence (83.89%) of S. pseudintermedius and 85.9% prevalence of mecA positive carriage among clinical S. pseudintermedius isolates from five geographical dispersed laboratories in South Africa [14] However, the molecular epidemiology of S. pseudintermedius isolated from dogs has not been investigated in this country.

Multi-locus sequence typing is a well-established method used to identify dominant MRSP lineages and geographical dissemination of S. pseudintermedius worldwide. As a result, CC71/ CC258 in Europe, CC68 in the United States, and CC45/CC112 in Asia have been established as dominant clonal complexes in the past [5]. In 2012, Jung-Ho Youn et al. reported ST39, ST200, ST54, ST204, ST18 among S. pseudintermedius isolates from a veterinary hospital in Zambia [15]. In Botswana, ST885 to ST890 were obtained from nasal swab samples collected from healthy dogs [16]. In South Africa, MLST studies of S. pseudintermedius isolated from dogs are lacking.

There are significant regional differences in patterns of antimicrobial resistance and virulence factors associated with distinct clonal lineages. For example, a low percentage of tetracycline and chloramphenicol resistance was reported from isolates belonging to the CC71 lineage in North America compared to isolates belonging to the CC71 lineage in Europe [1,14]. In France, ST258 MRSP isolates show higher susceptibility to gentamicin, sulfonamides and fluoroquinolones compared to isolates belonging to ST71 [14]. In Australia, ST496 isolates harbor SCCmec type Vt whereas ST71 in Europe is associated with SCCmec type III [5,17]. Additionally, ST749 in canine Australian isolates carries the nanB gene for sialidase, while ST496 in France carries the genes for surface adhesion virulent spsI and spsF [14,17]. In South Africa, Qekwana et al. reported multidrug resistance and increasing levels of resistance to fluoroquinolones and sulfonamides among S. pseudintermedius isolated from dogs at a veterinary teaching hospital [18]. In Zambia, Jung-Ho Youn et al. reported high penicillin and tetracycline resistance among S. pseudintermedius isolates implicating tetM and blaZ genes [15]. However, antimicrobial resistance and virulence genes of MRSP clonal lineages isolated from dogs in South Africa have not been demonstrated.

Recent studies in various countries show a changing population structure among S. pseudintermedius as a result of the acquisition of SCCmec and the international movement of animals [5,14,19]. A dearth of information prevents us from understanding how the population structure of S. pseudintermedius has changed over the years in South Africa. Therefore, the aims of this study were to determine the phenotypic resistance profile, to identify resistant genes, and virulence genes, to determine MLST profiles as well as geoBURST analysis of MRSP clones circulating in South Africa.

Materials and methods

Bacterial isolates and species verification

A total of 26, non-duplicate, clinical samples collected in 2021 from dogs were received as convenience samples from a veterinary diagnostic laboratory in South Africa, Gauteng. The samples were obtained from Johannesburg, Middleburg, Cape Town, Port Elizabeth, Pietermaritzburg, and Randburg and submitted for diagnostics analysis at a veterinary diagnostic laboratory. Clinical isolates were taken from post-operative infections, cystitis, otitis, wound, abdominal fluids, left front limb, pyoderma, and hock hygroma. Isolates were then shipped to the University of Tennessee Veterinary College, bacteriology lab in transport media for further analysis. S. pseudintermedius isolates were inoculated onto Columbia blood agar plates containing 5% sheep blood (Remel) and incubated overnight at 37°C in 5% CO2. The isolates were identified as S. pseudintermedius using the matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS, Bruker). S. pseudintermedius species assignment was made when the log(score) values were ≥ 2 [20].

Antimicrobial susceptibility

Antimicrobial susceptibility tests were performed on all confirmed S. pseudintermedius isolates. The Kirby-Bauer disk diffusion method was used and interpreted as recommended by the most current Clinical and Laboratory Standards Institute (CLSI) veterinary guidelines available at the time of the study [20].Mueller Hinton agar plates and antimicrobial disks were obtained commercially (BD Diagnostic Systems, Sparks, MD and Remel) The antimicrobials tested were penicillin (P) 10μg, clindamycin (DA) 2μg, kanamycin (K) 30μg, erythromycin (E) 15μg, gentamicin (CN) 10μg, oxacillin (OX) 1μg, tetracycline (TE) 30μg, minocycline (MH) 30μg, doxycycline (DO) 30μg, chloramphenicol (C) 30μg, cephalothin (KF) 30μg, vancomycin (VA) 30μg, streptomycin (S) 10μg, rifampin (RD) 5μg, marbofloxacin (MAR) 5μg, amoxicillin-clavulanic acid (AMC) 20μg, fosfomycin (FOS) 20μg, linezolid (LZD) 30μg, cefpodoxime (CPD) 10μg, cefoxitin (FOX) 30μg, and sulfamethoxazole-trimethoprim (SXT) 1.25/23.75ug. Methicillin resistance was determine by oxacillin resistance based on interpretation of the Clinical Laboratory Standard Institute for veterinary medicine (CLSI Vet, 2018) [20]. Interpretation of vancomycin was based on previously described criteria for S. aureus by Rezaeifar et al. [21]. Additionally, Fosfomycin was interpreted using recommendation from Comité de l’Antibiogramme de la Société Française de Microbiologie (CASFM, 2013) [22]. The CLSI M100 was used for the interpretation of linezolid, streptomycin, and kanamycin [23]. Whereas cephalothin, minocycline and amoxicillin-clavulanic acid was interpreted according to the CLSIVET01S2 [24]. Erythromycin and clindamycin disks were placed approximately 15 mm apart so interpretation of inducible clindamycin resistance could be made for isolates that are resistant to erythromycin but otherwise susceptible to clindamycin. Isolates in the intermediate category were classified as resistant for the purpose of analysis. Isolates that were resistant to three or more antimicrobial drug classes were defined as “multidrug-resistant”.

DNA extraction and whole genome sequencing

Three or four bacterial colonies were suspended in 3 ml of sterile tryptic soy broth, incubated at 37 C° overnight, and a commercial kit (UltraClean→ Microbial DNA isolation Kit, Qiagen) was used for DNA extraction. The concentration was measured using a nanodrop and Qubit 4 fluorometer (Fisher, USA). Sequencing libraries were constructed using a Nextera DNA sample prep kit (Illumina, Inc., USA) according to the manufacturer’s instructions. The genomes were sequenced using a MiSeq platform (Illumina, Inc.) with a single end read length of 150 bp at the University of Tennessee Immunology Laboratory. Whole genome sequences were assembled using SPAdes ( Annotation and analysis of the genomes was performed using the PATRIC software [25]. The genomes were then submitted to the NCBI Genbank as Bio project

Molecular epidemiology

ResFinder (genomic, CARD (Comprehensive Antimicrobial Resistance Database, databases on PATRIC were used to identify resistance genes. Virulence genes were detected using the Virulence Factor Database (VFDB), additionally the Geneious prime was used for BLASTN analysis of virulence genes [26].

Population structure analysis

Multilocus sequence typing (MLST) of seven housekeeping genes (tuf, cpn60, pta, purA, fdh, ack, and sar) was used to determine the sequence type (ST) of each isolate as we described previously [27]. The sequence types were assigned by comparison with the allele sequences available in the PubMLST database. Isolates with new combinations of alleles were submitted to the MLST database curator Vincent Perreten for assignment. Using entries from the global PubMLST S. pseudintermedius database, we ascertained the clonal relationships of the sequence types obtained in this study through goeBURST clustering analysis on PHYLOViZ [28]. To further investigate the STs relationships compared to the major STs identified in the United States, Europe and Asia (ST258, ST45, ST71, ST68), Botswana (ST888, ST885, ST887, ST886, ST889) and Kenya (ST590, ST591, ST592, ST593, ST594) together with STs identified in South Africa.


The Global protein families (PGFams) in PATRIC were used to identify 655 protein families from genes that were present as a single copy per genome [25]. For each of the chosen genes, both the gene (nucleotide) and encoded protein (amino acid) sequences were analyzed. MUSCLE was used to align protein sequences and nucleotide sequences [29]. The sequences were concatenated into one alignment using a phylip formatted file. The maximum likelihood phylogeny was then generated using Randomized Accelerated Maximum Likelihood (RAxML) with a general time-reversible nucleotide substitution model and four gamma categories for rate heterogeneity [30]. The resulting newick file was viewed in FigTree v1.4.4. Previously reported genomes reported worldwide were obtained from GenBank and used for phylogenetic analysis with isolates reported from South Africa (Table 1).

Table 1. Genomes used for phylogenetic analysis with genomes reported from South Africa in this study.

Statistical analysis

All proportions and 95% confidence intervals in this study were performed using SAS ® 9.4 (SAS Institute Inc., Cary, NC, USA).


Isolate collection

Based on MALDI-TOF, twenty-three isolates were confirmed as S. pseudintermedius and distributed geographically as shown in Table 2. The samples represent 4 provinces in South Africa (Gauteng, Kwazulu-Natal, Western Cape, and Eastern Cape) that were submitted for diagnostics at a Vet diagnostic laboratory. Nine of the isolates were methicillin susceptible (MSSP) and 14 of the isolates were MRSP. Seventeen different STs were identified in the isolates from South Africa. Eight S. pseudintermedius alleles were unique and were assigned STs in this study (ST2232, ST2229, ST2228, ST2231, ST2230, ST2318, ST2326, ST2327). Five of the MRSP isolates belonged to ST496, ST1308, ST45, ST181 and ST1111. Whereas seven of the MSSP isolates were previously reported on the pubMLST database (ST301, ST551, ST261, ST121, ST496, ST71, ST181 and ST1431).

Table 2. Characteristics of 23 S. pseudintermedius isolated from canine clinical samples submitted to a veterinary diagnostic laboratory in South Africa, 2021.

Antibiotic resistance

All isolates were resistant to at least one antibiotic whereas 87% of the isolates were multidrug resistant (MDR) (i.e., resistance to 3 or more classes of antimicrobials) (Table 3). Most of the isolates were resistant to penicillin (95.6%), streptomycin (91.3%), kanamycin (78.2%), trimethoprim/sulfamethoxazole (73.9%), and cefpodoxime (60.8%). The level of tetracycline and doxycycline resistance among the isolates was similar (69.5%) whereas minocycline resistance was 43.3%. Low resistance was observed to cephalothin (17.4%), chloramphenicol (17.4%), fosfomycin (17.4%) and cefoxitin (17.4%). None of the isolates were resistant to vancomycin, linezolid, or rifampin. All MRSP isolates were resistant to penicillin and cefpodoxime. MRSP isolates exhibited high proportions of resistance to doxycycline (92.8%), kanamycin (92.8%), tetracycline (85.7%), streptomycin (85.7%) and trimethoprim/sulfamethoxazole (85.7%) compared to low proportion of MSSP resistance to doxycycline (33.3%), kanamycin (55.6%), tetracycline (44.4%) and trimethoprim/sulfamethoxazole (55.6%).

Table 3. Antimicrobial resistance patterns of S. pseudintermedius isolated from canine clinical samples submitted to a veterinary diagnostic laboratory in South Africa, 2021.

Antibiotic resistant genes

The blaZ gene which encodes for narrow spectrum beta-lactamases was detected in all but one isolate (Table 4). Sixteen of the S. pseudintermedius isolates harbored tetM resistance genes whereas one isolate harbored tetK. The dfrG gene conferring the trimethoprim-sulfamethoxazole resistance phenotype was detected in 14 isolates. Most (11/23) of the isolates in this study harbored macrolide resistance, ermB genes. Chloramphenicol acetyltransferase genes (catpC221) were detected in six isolates. Isolates harbored aac6-aph2 (14/23), ant6-Ia (9/23) and aph3-III (9/23) that confer resistance to acetyltransferase, nucleotidyl transferase and phosphotransferase, respectively.

Table 4. Antimicrobial resistance genes of S. pseudintermedius isolated from canine clinical samples submitted to a veterinary diagnostic laboratory in South Africa, 2021.

Virulence genes

All the isolates were positive for immune evasion (adsA), exfoliative toxin (speta) and intracellular adhesion gene (icaA and icaD) (Fig 1). Whereas none of the isolates harbored the spsO, spsJ and spsF virulence genes. The seh and seg canine enterotoxin gene was only identified in MRSP isolates while the atl and spsD were identified among MSSP isolates. Isolates belonging to ST2228 and ST181 harbored the spsI gene compared to ST496. The ST71 isolate in this study did not harbor the lukS-I and lukF-I virulent gene compared to other isolates in the study. Compared to ST551, ST496 harbored sdrE, nanB and spsM virulent genes.

Fig 1. Virulence genes detected among S. pseudintermedius isolates submitted to a veterinary diagnostic laboratory in South Africa, 2021.

S. pseudintermedius cell wall anchored proteins genes (spsM, spsL, spsD, spsO, spsI, spsK, spsF), fibrinogen binding protein gene (fnbB), Intercellular adhesion (icaA, icaB), leukotoxin (lukF-I, lukS-I), ser-asp rich fibrinogen binding protein (sdrE), immune evasion (adsA), exfoliative toxin (se-int, SpeX, speta, siet) and exoenzyme (coagulase, nanB).

GeoBURST analysis

The isolates representing the assigned STs (ST2232, ST2231, ST2228, ST2229, ST2230) were singletons and were not related to the STs in the database (Fig 2). These STs were part of a branch located very far from the other isolates indicating a distant evolutionary relationship. To further investigate clonal relationships, the geoBURST full MST algorithm was used for STs identified in Kenya, Botswana, and South Africa with major STs identified in the United States (ST68), Europe (ST71 and ST258) and Asia (ST45). Four links were observed at level 1, 3 links at level 2, 19 links at level 3 and 6 links at level 4. None of the links connected STs in this study with those identified in Botswana and Kenya. No clonal complex could be identified from these STs because none of the CCs contained more than 3 STs with single locus variant (SLV = 1). However, ST2326 assigned in this study had a single locus variant to ST71 while ST2318 had a double locus variant to ST496. None of the isolates assigned in this study were closely related to ST68, ST45 and ST258 with a single locus variant.

Fig 2. Clonal relationship of MLST using isolates identified in South Africa and major STs identified worldwide.

The geoBURST full MST algorithm showed links connected by SLV, DLV, TLV and 4 link variants. Each node represents a ST. The size of the node denotes the sample size of each ST. The distance between each node is represented by 1 = SLV, 2 = DLV, 3 = TLV and 4 = four locus variants. The predicted founder clonal complexes are represented as green.


A phylogenetic tree that included 15 previously sequenced S. pseudintermedius genomes and the 23 isolates in this study were generated (Fig 3). The phylogenetic analysis showed that clustering of some isolates identified in this study were not monophyletic, with 21VMG0402 representing ST2232 assigned in this study separated from the other isolates.

Fig 3. Phylogenetic tree based on the time-reversible nucleotide substitution model and four gamma categories for rate heterogeneity of S. pseudintermedius isolates.

The phylogenetic tree includes isolates of the present study and selection of previously sequenced genomes representing phylogenetic diversity found across the species.


Methicillin resistant S. pseudintermedius is the predominant cause of clinical pyoderma in dogs [10,19,27]. The outcome of infection is dependent on the antimicrobial resistance profile and virulence factors associated with different sequence type [10,31,32]. In this study we investigated the molecular epidemiology of S. pseudintermedius isolated from dog samples submitted to a veterinary diagnostic laboratory in South Africa.

All isolates in this study were resistant to at least one antimicrobial, 87% were MDR, whereas 60.8% were MRSP. The prevalence detected in this study was relatively low when compared to high levels (85.9%) observed among dogs with pyoderma and otitis in South Africa [33]. High levels of MRSP were detected in this study compared to 14% reported among clinical isolates of dogs in Finland and 30.8% reported among clinical isolates in the United States [32,34]. In Finland, MRSP was determined among 1958 clinical S. pseudintermedius isolates collected from private clinics and veterinary teaching hospitals [32]. Whereas in the USA, Lord et al. reported MRSP among canine clinical specimens processed at the University of Tennessee College of Veterinary Medicine between January 1, 2006 and December 31, 2017 [34]. Therefore, due to the low number of samples collected in this study, the proportion of MRSP and MSSP are not a representation of the distribution of S. pseudintermedius in the South African dog population. However, the high proportion of MRSP detected in this study suggests that the detection of MRSP in South Africa is concomitant with global MRSP trends.

Resistance to antimicrobials was higher among MRSP compared to MSSP isolates. In addition to β-lactam resistance, MRSP isolates in this study were resistant to tetracyclines, aminoglycosides, folate inhibitors, macrolide and lincosamides. This is similar to results reported among MRSP isolates in Argentina and Finland [7,35]. In a previous study, Qekwana et al. reported a significant increase in the proportions of S. pseudintermedius resistant isolates to trimethoprim-sulfamethoxazole, clindamycin and orbifloxacin between 2007 and 2012 in South Africa (13). Canine antibiotic resistance in South Africa may be influenced by changes in veterinary prescription practices. Therefore, more studies elucidating the implications of antibiotic use and MRSP in South Africa should be a priority for future studies.

Similar to other studies, the genes responsible for penicillin, tetracyclines, erythromycin and trimethoprim-sulfamethoxazole (blaZ, tetM, ermB, and dfrG) were found to be the predominant genes encoding resistance in S. pseudintermedius. Resistance to aminoglycosides was associated with the presence of adenyl nucleotidyl transferase gene (ant(6)-Ia), phosphotransferase gene (aph(3’)-III), and the acetyltransferase/phosphotransferase gene (aac(6’)-Ie-aph(2”)-Ia) in all isolates except five that only harbored the aac(6’)-Ie-aph(2”)-Ia gene. Other studies have reported a strong correlation between the resistant phenotypes and resistance genes detected among S. pseudintermedius isolates [7,14,36]. It has been suggested that inconsistencies between resistant genes present among susceptible isolates could be attributed to insertion, deletion or mutation in the genes involved [37]. Furthermore, future studies should analyze the promoter sequences of resistance genes from isolates showing susceptibility despite an intact resistance gene.

The prevalence of virulence genes among S. pseudintermedius isolates in this study are similar to those reported in other studies [14,38,39]. No lineage associated virulence genes were identified in this study. However, compared to ST551, ST496 isolates harbored sdrE (cell wall adhesins), nanB (putative sialidase toxin) and spsM (cell wall anchor protein). The nanB gene contributes to colonization by offering a carbon source for growth, forming biofilms, or increasing adherence if receptors on the host are exposed [40]. The spsM cell wall protein and sdrE have been associated with mediating binding, invasion, and degradation of epithelial cells [40,41]. Whereas the isolate belonging to ST71 in this study did not harbor the leukocyte genes (LukS-I and LukF-I) that are responsible for destruction of canine polymorphonuclear leukocytes (PMNs) by pore formation and cell lysis [42]. The success of S. pseudintermedius lineages has previously been associated with variation in the surface proteins. Therefore, more studies analyzing the functional expression of virulence genes among canine S. pseudintermedius isolates could inform on the successful lineages in South Africa.

geoBURST analysis could not identify a main clonal founder and clonal structure of MSSP and MRSP isolates in South Africa. In previous studies, MRSP isolates were associated with fewer clones than MSSP isolates, which had relatively less clonal expansion [1,5,19,36]. This finding could suggest that the strains share a very distant relationship and do not share any recent common ancestor. The diversity observed in this study suggests that the S. pseudintermedius population structure isolated from dogs in South Africa could be non-clonal. In comparison, Dos Santos et al. concluded that the population of S. pseudintermedius was weakly clonal due to the presence of recombination among STs worldwide [5]. The PubMLST website had not previously reported ST2232, ST2231, ST2228, ST2229 and ST2230. These clones represent locally evolved clones since they were located on a very distant branch compared to STs in the database. However, ST496, ST71, ST551, ST45 and ST181 detected in this study have been reported worldwide [5,14,19,43]. These clones could have been transported from the countries they were first identified in. ST496 was identified as a novel clonal lineage in Australia in 2018 whereas ST551 was first identified in Poland in 2016 [19,44]. Of concern, ST496 has shown significant antibiotic resistance to veterinary antibiotics and contains virulence genes such as spsI and spsF associated with adhesion to the extracellular matrix [14]. The isolate in this study representing ST551 harbored tetK which encodes tetracycline resistance through efflux pumps. This is a unique feature that has been identified for ST551 among MRSP isolated from dogs in Poland and Slovenia [43,44]. Hence, determining clinical implications of dominant S. pseudintermedius strains in South Africa could help in successful treatment of canine infections.


This is the first report addressing the phenotypic and genotypic characterization of canine S. pseudintermedius isolates submitted to a veterinary diagnostic laboratory in South Africa. The results from this study suggest the presence of a highly diverse clonal population structure of S. pseudintermedius. Additionally, highly resistant clonal lineages such as ST71, ST45, ST551 and ST496 were detected that pose a threat to the successful treatment of MRSP infections in South Africa. The collection of S. pseudintermedius and MRSP in South Africa is underrepresented compared to worldwide continental reports. However, information on antimicrobial resistance and molecular epidemiology of MRSP in South Africa is vital to obtain a universal understanding of this organism. Therefore, future studies should investigate the occurrence and patterns of multidrug resistant MRSP isolated from canine clinical samples representing a larger population of dogs in South Africa.

Supporting information

S1 Table. Virulence genes identified in each South African isolate.


S2 Table. Alleles for each South African isolate used to determine MLST profiles and for geoBURST analysis.

The alleles were assigned using



We thank the veterinary laboratory diagnosticians who contributed isolates for this study and Ingo Johlsson from the University of Tennessee Bioinformatics Resource Center.


  1. 1. Videla R, Solyman SM, Brahmbhatt A, Sadeghi L, Bemis DA, Kania SA. Clonal Complexes and Antimicrobial Susceptibility Profiles of Staphylococcus pseudintermedius Isolates from Dogs in the United States. Microb Drug Resist Larchmt N. 2018 Jan 1;24(1):83–8.
  2. 2. Somayaji R, Priyantha MAR, Rubin JE, Church D. Human infections due to Staphylococcus pseudintermedius, an emerging zoonosis of canine origin: report of 24 cases. Diagn Microbiol Infect Dis. 2016 Aug 1;85(4):471–6.
  3. 3. Marsilio F, Di Francesco CE, Di Martino B. Coagulase-Positive and Coagulase-Negative Staphylococci Animal Diseases. In: Pet-to-Man Travelling Staphylococci: A World in Progress. Elsevier Inc.; 2018. p. 43–50.
  4. 4. Carroll KC, Burnham CAD, Westblade LF. From canines to humans: Clinical importance of Staphylococcus pseudintermedius. PLoS Pathog. 2021 Dec 1;17(12).
  5. 5. Dos Santos TP, Damborg P, Moodley A, Guardabassi L. Systematic review on global epidemiology of methicillin-resistant Staphylococcus pseudintermedius: Inference of population structure from multilocus sequence typing data. Vol. 7, Frontiers in Microbiology. Frontiers Media S.A.; 2016.
  6. 6. Han JI, Rhim H, Yang CH, Park HM. Molecular characteristics of new clonal complexes of Staphylococcus pseudintermedius from clinically normal dogs. 2017 Jan 1;38(1):14–20.
  7. 7. Gagetti P, Wattam AR, Giacoboni G, De Paulis A, Bertona E, Corso A, et al. Identification and molecular epidemiology of methicillin resistant Staphylococcus pseudintermedius strains isolated from canine clinical samples in Argentina. BMC Vet Res. 2019 Dec;15(1).
  8. 8. Paul NC, Moodley A, Ghibaudo G, Guardabassi L. Carriage of methicillin-resistant Staphylococcus pseudintermedius in small animal veterinarians: Indirect evidence of zoonotic transmission. Zoonoses Public Health. 2011;58(8):533–9.
  9. 9. Black CC, Eberlein LC, Solyman SM, Wilkes RP, Hartmann FA, Rohrbach BW, et al. The role of mecA and blaZ regulatory elements in mecA expression by regional clones of methicillin-resistant Staphylococcus pseudintermedius. Vet Microbiol. 2011 Aug 5;151(3–4):345–53.
  10. 10. Kjellman EE, Slettemeås JS, Small H, Sunde M. Methicillin‐resistant Staphylococcus pseudintermedius (MRSP) from healthy dogs in Norway–occurrence, genotypes and comparison to clinical MRSP. MicrobiologyOpen. 2015 Dec 1;4(6):857.
  11. 11. Fishovitz J, Hermoso JA, Chang M, Mobashery S. Critical Review Penicillin-binding Protein 2a of Methicillin-resistant Staphylococcus aureus. IUBMB Life. 2014;66(8):572–7.
  12. 12. Okwu MU, Olley M, Akpoka AO, Izevbuwa OE. Methicillin-resistant Staphylococcus aureus (MRSA) and anti-MRSA activities of extracts of some medicinal plants: A brief review. Vol. 5, AIMS Microbiology. AIMS Press; 2019. p. 117–37.
  13. 13. Qekwana DN, Oguttu JW, Sithole F, Odoi A. Burden and predictors of Staphylococcus aureus and S. pseudintermedius infections among dogs presented at an academic veterinary hospital in South Africa (2007–2012). PeerJ. 2017;2017(4).
  14. 14. Bergot M, Martins-Simoes P, Kilian H, Châtre P, Worthing KA, Norris JM, et al. Evolution of the population structure of Staphylococcus pseudintermedius in France. Front Microbiol. 2018 Dec 13;9(DEC):3055.
  15. 15. Youn JH, Park YH, Hang’ombe B, Sugimoto C. Prevalence and characterization of Staphylococcus aureus and Staphylococcus pseudintermedius isolated from companion animals and environment in the veterinary teaching hospital in Zambia, Africa. Comp Immunol Microbiol Infect Dis. 2014 Mar;37(2):123–30.
  16. 16. Abouelkhair MA, Thompson R, Riley MC, Bemis DA, Kania SA. Complete Genome Sequences of Three Staphylococcus pseudintermedius Strains Isolated from Botswana. Genome Announc. 2018 Mar 8;6(10):e01599–17.
  17. 17. Rynhoud H, Forde BM, Beatson SA, Abraham S, Meler E, Soares Magalhães RJ, et al. Molecular Epidemiology of Clinical and Colonizing Methicillin-Resistant Staphylococcus Isolates in Companion Animals. Front Vet Sci. 2021 Apr 23;8:620491. pmid:33969030
  18. 18. Qekwana DN, Oguttu JW, Sithole F, Odoi A. Patterns and predictors of antimicrobial resistance among Staphylococcus spp. from canine clinical cases presented at a veterinary academic hospital in South Africa. BMC Vet Res. 2017;13(1):1–9.
  19. 19. Worthing KA, Abraham S, Coombs GW, Pang S, Saputra S, Jordan D, et al. Clonal diversity and geographic distribution of methicillin-resistant Staphylococcus pseudintermedius from Australian animals: Discovery of novel sequence types. Vet Microbiol. 2018 Jan 1;213:58–65.
  20. 20. Patel JB. Performance standards for antimicrobial susceptibility testing; twenty-fifth informational supplement. Clinical and Laboratory Standards Institute; 2015.
  21. 21. Rezaeifar M, Bagheri MB, Moradi M, Rezaeifar M. Assessment of disk diffusion and E-test methods to determine antimicrobial activity of cefalotin and vancomycin on clinical isolates of Staphylococcus aureus. 2016.
  22. 22. CASFM_2013.pdf [Internet]. [cited 2023 Jun 1]. Available from:
  23. 23. Clinical and Laboratory Standard Institute (CLSI). Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated from Animals [Internet]. 5th-CLSI VET01S ed. 2020 [cited 2023 Jun 29]. Available from:
  24. 24. Clinical and Laboratory Standards Institute, editor. Performance standards for antimicrobial disk and dilution susceptibility tests for bacteria isolated from animals. 4th edition, VET08. 2018. 170 p.
  25. 25. Wattam AR, Davis JJ, Assaf R, Boisvert S, Brettin T, Bun C, et al. Improvements to PATRIC, the all-bacterial bioinformatics database and analysis resource center. Nucleic Acids Res. 2017;45(D1):D535–42. pmid:27899627
  26. 26. Chen L, Yang J, Yu J, Yao Z, Sun L, Shen Y, et al. VFDB: A reference database for bacterial virulence factors. Nucleic Acids Res. 2005;33(DATABASE ISS.):325–8.
  27. 27. Solyman SM, Black CC, Duim B, Perreten V, van Duijkeren E, Wagenaar JA, et al. Multilocus Sequence Typing for Characterization of Staphylococcus pseudintermedius. J Clin Microbiol. 2013 Jan;51(1):306–10.
  28. 28. Francisco AP, Vaz C, Monteiro PT, Melo-Cristino J, Ramirez M, Carriço JA. PHYLOViZ: Phylogenetic inference and data visualization for sequence based typing methods. BMC Bioinformatics. 2012;13(1). pmid:22568821
  29. 29. Edgar RC. MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004;32(5):1792–7. pmid:15034147
  30. 30. Stamatakis A. RAxML version 8: A tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics. 2014;30(9):1312–3. pmid:24451623
  31. 31. Latronico F, Moodley A, Nielsen SS, Guardabassi L. Enhanced adherence of methicillin-resistant Staphylococcus pseudintermedius sequence type 71 to canine and human corneocytes. Vet Res. 2014;45(1):70.
  32. 32. Grönthal T, Ollilainen M, Eklund M, Piiparinen H, Gindonis V, Junnila J, et al. Epidemiology of methicillin resistant Staphylococcus pseudintermedius in guide dogs in Finland. Acta Vet Scand. 2015 Jul 17;57(1):1–10.
  33. 33. Prior CD, Moodley A, Karama M, Malahlela MN, Leisewitz A. Prevalence of methicillin resistance in Staphylococcus pseudintermedius isolates from dogs with skin and ear infections in South Africa. J S Afr Vet Assoc. 2022;93(1).
  34. 34. Lord J, Millis N, Jones RD, Johnson B, Kania SA, Odoi A. Patterns of antimicrobial, multidrug and methicillin resistance among Staphylococcus spp. isolated from canine specimens submitted to a diagnostic laboratory in Tennessee, USA: a descriptive study. BMC Vet Res. 2022 Dec 1;18(1):1–16.
  35. 35. Grönthal T, Eklund M, Thomson K, Piiparinen H, Sironen T, Rantala M. Antimicrobial resistance in Staphylococcus pseudintermedius and the molecular epidemiology of methicillin-resistant S. pseudintermedius in small animals in Finland. J Antimicrob Chemother. 2017;72(4):1021–30.
  36. 36. Duim B, Verstappen KM, Broens EM, Laarhoven LM, Van Duijkeren E, Hordijk J, et al. Changes in the population of methicillin-resistant Staphylococcus pseudintermedius and dissemination of antimicrobial-resistant phenotypes in the Netherlands. J Clin Microbiol. 2016 Feb 1;54(2):283–8.
  37. 37. Wegener A, Broens EM, Zomer A, Spaninks M, Wagenaar JA, Duim B. Comparative genomics of phenotypic antimicrobial resistances in methicillin-resistant Staphylococcus pseudintermedius of canine origin. Vet Microbiol. 2018 Nov 1;225:125–31.
  38. 38. Little S V., Bryan LK, Hillhouse AE, Cohen ND, Lawhon SD. Characterization of agr Groups of Staphylococcus pseudintermedius Isolates from Dogs in Texas. mSphere. 2019 Apr 24;4(2).
  39. 39. Meroni G, Filipe JFS, Drago L, Martino PA. Investigation on Antibiotic-Resistance, Biofilm Formation and Virulence Factors in Multi Drug Resistant and Non Multi Drug Resistant Staphylococcus pseudintermedius. Microorganisms. 2019 Dec 1;7(12).
  40. 40. Ben Zakour NL, Beatson SA, van den Broek AHM, Thoday KL, Fitzgerald JR. Comparative genomics of the Staphylococcus intermedius group of animal pathogens. Front Cell Infect Microbiol. 2012;2:44.
  41. 41. Foster TJ, Geoghegan JA, Ganesh VK, Höök M. Adhesion, invasion and evasion: The many functions of the surface proteins of Staphylococcus aureus. Vol. 12, Nature Reviews Microbiology. 2014. p. 49–62.
  42. 42. Abouelkhair MA, Bemis DA, Giannone RJ, Frank LA, Kania SA. Characterization of a leukocidin identified in Staphylococcus pseudintermedius. PLoS ONE. 2018 Sep 1;13(9).
  43. 43. Papić B, Golob M, Zdovc I, Kušar D, Avberšek J. Genomic insights into the emergence and spread of methicillin-resistant Staphylococcus pseudintermedius in veterinary clinics. Vet Microbiol. 2021 Jul 1;258:109119.
  44. 44. Kizerwetter-Świda M, Chrobak-Chmiel D, Rzewuska M, Binek M. Changes in the population structure of canine methicillin-resistant Staphylococcus pseudintermedius in Poland. Vet Microbiol. 2017 Sep 1;208:106–9.