Prospective Salmonella Enteritidis surveillance and outbreak detection using whole genome sequencing, Minnesota

J M Rounds1, A J Taylor1, D Eikmeier1

  • 1Minnesota Department of Health, Saint Paul, Minnesota, USA.

Insights

Whole genome sequencing (WGS) identified more Salmonella Enteritidis clusters than pulsed-field gel electrophoresis (PFGE), though WGS clusters were smaller and shorter. WGS improved outbreak source identification specificity.

Area of Science:

  • Microbiology
  • Epidemiology
  • Genomics

Background:

  • Salmonella Enteritidis (S. Enteritidis) outbreaks pose a significant public health challenge.
  • Traditional methods like pulsed-field gel electrophoresis (PFGE) have limitations in outbreak investigations.
  • Whole genome sequencing (WGS) offers a higher resolution approach to pathogen typing.

Purpose of the Study:

  • To compare the effectiveness of whole genome sequencing (WGS) and pulsed-field gel electrophoresis (PFGE) for identifying Salmonella Enteritidis clusters.
  • To evaluate the impact of WGS on outbreak investigations, including cluster definition, size, duration, and source identification.

Main Methods:

  • Retrospective analysis of S. Enteritidis cases in Minnesota from 2015-2017.
  • Comparison of cluster identification using PFGE and WGS single nucleotide polymorphism (SNP) analysis.
  • Assessment of turnaround times, cluster characteristics, and outbreak source confirmation rates for both methods.

Main Results:

  • WGS identified more clusters than PFGE but with smaller median size and shorter duration.
  • WGS had a longer median turnaround time (12 days) compared to PFGE (1 day).
  • Despite fewer confirmed sources overall, WGS clusters showed higher specificity and a greater percentage of reported outbreak vehicles/exposures.

Conclusions:

  • WGS enhances S. Enteritidis cluster investigations by improving the specificity of case definitions.
  • WGS has become an integral part of S. Enteritidis surveillance in Minnesota.
  • WGS data, particularly cluster size, are significant predictors of confirmed outbreak sources.