Epidemiological analysis of Salmonella clusters identified by whole genome sequencing, England and Wales 2014

Alison Waldram, Gayle Dolan, Philip M. Ashton, Claire Jenkins*, Tim Dallman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

The unprecedented level of bacterial strain discrimination provided by whole genome sequencing (WGS) presents new challenges with respect to the utility and interpretation of the data. Whole genome sequences from 1445 isolates of Salmonella belonging to the most commonly identified serotypes in England and Wales isolated between April and August 2014 were analysed. Single linkage single nucleotide polymorphism thresholds at the 10, 5 and 0 level were explored for evidence of epidemiological links between clustered cases. Analysis of the WGS data organised 566 of the 1445 isolates into 32 clusters of five or more. A statistically significant epidemiological link was identified for 17 clusters. The clusters were associated with foreign travel (n = 8), consumption of Chinese takeaways (n = 4), chicken eaten at home (n = 2), and one each of the following; eating out, contact with another case in the home and contact with reptiles. In the same time frame, one cluster was detected using traditional outbreak detection methods. WGS can be used for the highly specific and highly sensitive detection of biologically related isolates when epidemiological links are obscured. Improvements in the collection of detailed, standardised exposure information would enhance cluster investigations.

Original languageEnglish
Pages (from-to)39-45
Number of pages7
JournalFood Microbiology
Volume71
DOIs
Publication statusPublished - May 2018

Keywords

  • Epidemiology
  • Outbreak
  • Salmonella
  • Surveillance
  • Whole genome sequencing

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