Whole-genome sequencing for outbreak investigations of methicillin-resistant Staphylococcus aureus in the neonatal

Taj Azarian1, Robert L Cook1, Judith A Johnson2

  • 11College of Public Health and Health Professions and College of Medicine,Department of Epidemiology,University of Florida,Gainesville,Florida.

Insights

Whole-genome sequencing identified methicillin-resistant Staphylococcus aureus (MRSA) transmission clusters in a neonatal intensive care unit (NICU). This advanced method accurately distinguished linked cases from unlinked ones, improving infection control.

Area of Science:

  • Infectious Disease Epidemiology
  • Genomic Epidemiology
  • Public Health Microbiology

Background:

  • Neonatal intensive care units (NICUs) present a high risk for methicillin-resistant Staphylococcus aureus (MRSA) acquisition.
  • Current molecular genotyping methods have limitations in identifying MRSA outbreaks in clinical settings.
  • Whole-genome sequencing (WGS) offers a higher resolution for distinguishing bacterial isolates compared to traditional methods.

Purpose of the Study:

  • To investigate a suspected MRSA outbreak in a NICU using WGS and phylogenetic analysis.
  • To identify recent transmission events and epidemiologically distinct MRSA isolates.
  • To evaluate the utility of WGS in improving infection control interventions during outbreaks.

Main Methods:

  • Collected clinical and surveillance specimens from neonates in a level III NICU.
  • Employed four typing methods: antibiograms, pulsed-field gel electrophoresis (PFGE), spa typing, and WGS with phylogenetic analysis of single nucleotide polymorphisms (SNPs).
  • Analyzed epidemiological data alongside molecular typing results.

Main Results:

  • Among 17 USA300 MRSA isolates, PFGE and spa typing revealed limited diversity.
  • Phylogenetic analysis of genome-wide SNPs identified two distinct clusters involving 5 infants, indicating linked transmission.
  • Ten cases were excluded as unlinked, demonstrating WGS's ability to refine outbreak investigations.

Conclusions:

  • WGS and phylogenetic analysis are powerful tools for investigating infectious disease epidemics.
  • These methods accurately identify transmission events and can exclude cases misidentified by traditional typing.
  • Routine application of WGS in clinical surveillance can provide actionable intelligence for effective infection control.

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