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Updated: Jul 25, 2025

Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
Published on: May 8, 2013
An insight into whole genome sequencing data of methicillin-resistant Staphylococcus aureus circulating in a teaching
Mohit Bhatia1, Varun Shamanna2, Geetha Nagaraj2
1Department of Microbiology, Vardhman Mahavir Medical College & Safdarjung Hospital, New Delhi 110029, India.
Purpose:
To provide an insight into the Whole-genome sequencing (WGS) data of MRSA strains circulating in a teaching hospital in north India.
Methods:
An exploratory study was conducted in which fifty non-repetitive MRSA isolates obtained from pus samples of inpatients from July 2018 to February 2019 were subjected to preliminary identification (ID) and antibiotic susceptibility testing (AST) at our centre. These isolates were later sent to Central Research Laboratory, India for further testing using the VITEK-2 compact system followed by WGS. Only eighteen isolates were eventually considered for final analysis and the rest (n = 32) were excluded due to various technical reasons.
Results:
The WGS confirmed MRSA isolates predominantly belonged to CC22 (56.25%) and CC30 (31.25%). The CC22 MRSA strains carried SCCmec types IVa (77.8%) & IVc (22.2%) and belonged to spa types t005 (44.4%), t4584 (22.2%), t11808 (11.1%), t1328 (11.1%) and t309 (11.1%), respectively. The MRSA isolates of CC30 carried SCCmec types IVa (60%), IVg (20%) & V (20%) and belonged to spa types t021 (80%) & t2575 (20%), respectively. One MRSA isolate carried a novel SCCmec type V. The luk-PV and tsst-1 genes were present in 93.75% and 33.33% of MRSA isolates, respectively. The concordance between the phenotypic and genotypic AST results was 100% for Beta-lactams, Fluoroquinolones, Tetracyclines & Lipoglycopeptides, respectively.
Conclusions:
Through this study, we intend to embark upon a relatively newer avenue of clinical-genomic surveillance of nosocomial bacterial isolates like MRSA, which would help us improve the existing infection control and antibiotic stewardship practices in our hospital.
Insights
Whole-genome sequencing of Methicillin-resistant Staphylococcus aureus (MRSA) in North India revealed dominant clonal complexes CC22 and CC30. This study highlights the utility of genomic surveillance for improving hospital infection control and antibiotic stewardship.
Area of Science:
- Microbiology
- Genomics
- Infectious Diseases
Background:
- Methicillin-resistant Staphylococcus aureus (MRSA) poses a significant threat in healthcare settings.
- Understanding the genetic makeup of circulating MRSA strains is crucial for effective control strategies.
Purpose of the Study:
- To analyze the Whole-genome sequencing (WGS) data of MRSA strains from a North Indian teaching hospital.
- To gain insights into the genomic epidemiology of nosocomial MRSA isolates.
Main Methods:
- Fifty MRSA isolates from pus samples were identified and tested for antibiotic susceptibility.
- VITEK-2 compact system and Whole-genome sequencing (WGS) were employed for detailed analysis.
- Thirty-two isolates were excluded due to technical reasons, leaving 18 for final analysis.
Main Results:
- MRSA isolates predominantly belonged to Clonal Complex (CC) 22 (56.25%) and CC30 (31.25%).
- Specific SCCmec types (IVa, IVc, IVg, V) and spa types were identified within CC22 and CC30.
- The luk-PV and tsst-1 genes were prevalent, and 100% concordance was observed between genotypic and phenotypic antibiotic susceptibility testing for several antibiotic classes.
Conclusions:
- Genomic surveillance of MRSA provides valuable data for enhancing infection control.
- Findings can inform and improve antibiotic stewardship practices within hospitals.
- This approach offers a newer avenue for monitoring nosocomial bacterial pathogens.
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