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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.
Abstract:
BACKGROUND Infants in the neonatal intensive care unit (NICU) are at increased risk for methicillin-resistant Staphylococcus aureus (MRSA) acquisition. Outbreaks may be difficult to identify due in part to limitations in current molecular genotyping available in clinical practice. Comparison of genome-wide single nucleotide polymorphisms (SNPs) may identify epidemiologically distinct isolates among a population sample that appears homogenous when evaluated using conventional typing methods. OBJECTIVE To investigate a putative MRSA outbreak in a NICU utilizing whole-genome sequencing and phylogenetic analysis to identify recent transmission events. DESIGN Clinical and surveillance specimens collected during clinical care and outbreak investigation. PATIENTS A total of 17 neonates hospitalized in a 43-bed level III NICU in northeastern Florida from December 2010 to October 2011 were included in this study. METHODS We assessed epidemiological data in conjunction with 4 typing methods: antibiograms, PFGE, spa types, and phylogenetic analysis of genome-wide SNPs. RESULTS Among the 17 type USA300 isolates, 4 different spa types were identified using pulsed-field gel electrophoresis. Phylogenetic analysis identified 5 infants as belonging to 2 clusters of epidemiologically linked cases and excluded 10 unlinked cases from putative transmission events. The availability of these results during the initial investigation would have improved infection control interventions. CONCLUSION Whole-genome sequencing and phylogenetic analysis are invaluable tools for epidemic investigation; they identify transmission events and exclude cases mistakenly implicated by traditional typing methods. When routinely applied to surveillance and investigation in the clinical setting, this approach may provide actionable intelligence for measured, appropriate, and effective interventions.
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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