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.

Abstract

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.