Related Experiment Video
Updated: Jun 18, 2026

Multiplex PCR Assay for Typing of Staphylococcal Cassette Chromosome Mec Types I to V in Methicillin-resistant Staphylococcus aureus
Published on: September 5, 2013
Epidemiological typing of meticillin-resistant Staphylococcus aureus isolates from Pakistan and India
Sahida Shabir1, Katherine J Hardy2,1, Waseem S Abbasi3
1West Midlands Public Health Laboratory, Health Protection Agency, Heart of England Foundation Trust, Bordesley Green East, Birmingham B9 5SS, UK.
Abstract:
The levels of meticillin-resistant Staphylococcus aureus (MRSA) in Pakistan and India are known to be high, but few studies have described the epidemiology of the different MRSA clones present. In order to gain an understanding of the epidemiology of MRSA within this region, 60 MRSA isolates from Pakistan (49) and India (11) were genotyped. All isolates were typed using PFGE, staphylococcal interspersed repeat units (SIRUs), a restriction-modification method and staphylococcal cassette chromosome mec (SCCmec) typing. A subset of isolates that were distinct by PFGE and SIRUs were typed using multilocus sequence typing (MLST). Clonal complex (CC) 8 was the dominant clonal complex (57/60) and was present in both Pakistan and India. Within CC8, there were 10 SIRU profiles and 24 PFGE profiles. Two SIRU profiles were present in isolates from both India and Pakistan, whilst seven were distinct for Pakistan and one for India. All PFGE profiles were distinct for each of the two countries. Thirty-four of the 57 isolates carried SCCmec type III/IIIa and the remainder carried type IV SCCmec. MLST analysis of 14 CC8 isolates with diverse SIRU and PFGE profiles showed that all were single-locus variants, with nine belonging to sequence type (ST) 239, three to ST8 and two to ST113. From a single hospital in Pakistan, three isolates belonged to CC30 and all were indistinguishable by PFGE and SIRUs and carried the Panton-Valentine leukocidin gene. Thus, epidemiological typing of strains from three distinct locations in India and Pakistan revealed the predominance of one clonal complex and highly related STs. The ability of SIRUs and PFGE to differentiate within ST239 demonstrates their utility in defining local epidemiology in these countries.
Insights
Meticillin-resistant Staphylococcus aureus (MRSA) epidemiology in Pakistan and India is dominated by clonal complex 8. Genotyping revealed distinct local MRSA strains, highlighting the utility of PFGE and SIRUs for tracking local epidemiology.
Area of Science:
- Microbiology
- Epidemiology
- Genetics
Background:
- High prevalence of meticillin-resistant Staphylococcus aureus (MRSA) in Pakistan and India.
- Limited understanding of the specific MRSA clones circulating in the region.
Purpose of the Study:
- To investigate the epidemiology of MRSA clones in Pakistan and India.
- To understand the genetic diversity and clonal distribution of MRSA isolates from the region.
Main Methods:
- Genotyping of 60 MRSA isolates from Pakistan (49) and India (11).
- Techniques included PFGE, SIRUs, restriction-modification, SCCmec typing, and MLST for a subset of isolates.
- Analysis focused on identifying clonal complexes, sequence types, and their geographical distribution.
Main Results:
- Clonal complex (CC) 8 was the dominant CC (57/60 isolates) found in both countries.
- Significant diversity within CC8 was observed with 10 SIRU and 24 PFGE profiles.
- SCCmec types III/IIIa and IV were prevalent; MLST identified ST239 as the most common ST within CC8.
- PFGE and SIRUs demonstrated distinct profiles between Pakistan and India, indicating local variations.
Conclusions:
- MRSA epidemiology in Pakistan and India is largely driven by CC8, with ST239 being a predominant sequence type.
- PFGE and SIRUs are valuable tools for differentiating MRSA strains and understanding local epidemiological patterns.
- The study provides crucial insights into MRSA clonal diversity in South Asia.
Related Concept Videos
Clinical Significance of Antibiotic Resistance
Mechanism of Antibiotic Resistance in MRSA
Rapid Identification of Pathogens
