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Abstract

Salmonellosis is a significant public health problem globally. In Australia, serovar Enteritidis is one of the main causes of salmonellosis. This study reports how the implementation of routine genetic surveillance of isolates from human . Enteritidis cases enabled identification of the likely source of an outbreak that occurred in a remote town in Far North Queensland, Australia. This study included patient, food and water samples collected during an outbreak investigation. . Enteritidis of the novel sequence type 5438 was isolated from all seven patient samples and one bore water sample but not any of the food samples. Both whole-genome single nucleotide polymorphism (SNP) and core-genome multilocus sequence typing analysis revealed that . Enteritidis isolated from outbreak-related patient samples and the bore water isolates clustered together with fewer than five SNP differences and ten allelic differences. This genetic relatedness informed the outbreak response team around public health interventions and no further cases were identified post-treatment of the bore water. This disease cluster was identified through the routine sequencing of . Enteritidis performed by the state public health laboratory in an actionable time frame. Additionally, genomic surveillance captured a case with unknown epidemiological links to the affected community, ruled out a simultaneous outbreak in an adjacent state as the source and provided evidence for the likely source preventing further transmission. Therefore, this report provides compelling support for the implementation of whole-genome sequencing based genotyping methods in public health microbiology laboratories for better outbreak detection and management.

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/content/journal/mgen/10.1099/mgen.0.001059
2023-07-17
2025-03-25
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References

  1. Eng S-K, Pusparajah P, Ab Mutalib N-S, Ser H-L, Chan K-G et al. Salmonella: a review on pathogenesis, epidemiology and antibiotic resistance. Front Life Sci 2015; 8:284–293 [View Article]
    [Google Scholar]
  2. Pearce ME, Alikhan NF, Dallman TJ, Zhou Z, Grant K et al. Comparative analysis of core genome MLST and SNP typing within a European Salmonella serovar Enteritidis outbreak. Int J Food Microbiol 2018; 274:1–11 [View Article] [PubMed]
    [Google Scholar]
  3. Ford L, Glass K, Veitch M, Wardell R, Polkinghorne B et al. Increasing incidence of Salmonella in Australia, 2000-2013. PLoS One 2016; 11:e0163989 [View Article] [PubMed]
    [Google Scholar]
  4. Department of Health. Australian Government NNDSSN. Salmonellosis Public Data Set 2009 to 2021; 2022
  5. Joensen KG, Scheutz F, Lund O, Hasman H, Kaas RS et al. Real-time whole-genome sequencing for routine typing, surveillance, and outbreak detection of verotoxigenic Escherichia coli. J Clin Microbiol 2014; 52:1501–1510 [View Article] [PubMed]
    [Google Scholar]
  6. den Bakker HC, Allard MW, Bopp D, Brown EW, Fontana J et al. Rapid whole-genome sequencing for surveillance of Salmonella enterica serovar Enteritidis. Emerg Infect Dis 2014; 20:1306–1314 [View Article]
    [Google Scholar]
  7. Parcell BJ, Gillespie SH, Pettigrew KA, Holden MTG. Clinical perspectives in integrating whole-genome sequencing into the investigation of healthcare and public health outbreaks - hype or help?. J Hosp Infect 2021; 109:1–9 [View Article] [PubMed]
    [Google Scholar]
  8. Bakker HC den, Switt AIM, Cummings CA, Hoelzer K, Degoricija L et al. A whole-genome single nucleotide polymorphism-based approach to trace and identify outbreaks linked to a common Salmonella enterica subsp. enterica serovar Montevideo pulsed-field gel electrophoresis type. Appl Environ Microbiol 2011; 77:8648–8655 [View Article] [PubMed]
    [Google Scholar]
  9. The OzFoodNet Working Group Monitoring the incidence and causes of disease potentially transmitted by food in Australia: annual report of the OzFoodNet network, 2017. Commun Dis Intell 2017; 46: [View Article]
    [Google Scholar]
  10. Graham RMA, Hiley L, Rathnayake IU, Jennison AV. Comparative genomics identifies distinct lineages of S. Enteritidis from Queensland, Australia. PLOS One 2018; 13:e0191042 [View Article] [PubMed]
    [Google Scholar]
  11. Chattaway MA, Chandra N, Painset A, Shah V, Lamb P et al. Genomic approaches used to investigate an atypical outbreak of Salmonella Adjame. Microb Genom 2019; 5:e000248 [View Article] [PubMed]
    [Google Scholar]
  12. Grimont PAD, Weill FX. Antigenic formulae of the Salmonella serovars. In WHO Collaborating Centre for Reference and Research on Salmonella, Institut Pasteur Paris, France: 2007
    [Google Scholar]
  13. Standards Australia Microbiology of the Food Chain – Horizontal Method for the Detection, Enumeration and Serotyping of Salmonella – Detection of Salmonella Spp., AS 5013.10:2022 Standards Australia, NSW; 2022
    [Google Scholar]
  14. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 2014; 30:2114–2120 [View Article] [PubMed]
    [Google Scholar]
  15. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M et al. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 2012; 19:455–477 [View Article] [PubMed]
    [Google Scholar]
  16. Zhou Z, Alikhan NF, Mohamed K, Fan Y, Achtman M. The Enterobase user’s guide, with case studies on Salmonella transmissions, Yersinia pestis phylogeny, and Escherichia core genomic diversity. Genome Res 2020; 30:138–152 [View Article]
    [Google Scholar]
  17. Stamatakis A. RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics 2006; 22:2688–2690 [View Article] [PubMed]
    [Google Scholar]
  18. Mook P, Gardiner D, Verlander NQ, McCormick J, Usdin M et al. Operational burden of implementing Salmonella Enteritidis and Typhimurium cluster detection using whole genome sequencing surveillance data in England: a retrospective assessment. Epidemiol Infect 2018; 146:1452–1460 [View Article]
    [Google Scholar]
  19. Di Marcantonio L, Janowicz A, Zilli K, Romantini R, Bilei S et al. Genomic comparison of Salmonella Enteritidis strains isolated from laying hens and humans in the Abruzzi region during 2018. Pathogens 2020; 9:349 [View Article] [PubMed]
    [Google Scholar]
  20. Dallman T, Inns T, Jombart T, Ashton P, Loman N et al. Phylogenetic structure of European Salmonella Enteritidis outbreak correlates with national and international egg distribution network. Microb Genom 2016; 2:e000070 [View Article] [PubMed]
    [Google Scholar]
  21. Inns T, Lane C, Peters T, Dallman T, Chatt C et al. A multi-country Salmonella Enteritidis phage type 14b outbreak associated with eggs from a German producer: ‘near real-time’ application of whole genome sequencing and food chain investigations, United Kingdom, May to September 2014. Euro surveill 2015; 20: [View Article]
    [Google Scholar]
  22. Svahn AJ, Chang SL, Rockett RJ, Cliff OM, Wang Q et al. Genome-wide networks reveal emergence of epidemic strains of Salmonella Enteritidis. Int J Infect Dis 2022; 117:65–73 [View Article] [PubMed]
    [Google Scholar]
  23. Allard MW, Luo Y, Strain E, Pettengill J, Timme R et al. On the evolutionary history, population genetics and diversity among isolates of Salmonella Enteritidis PFGE pattern JEGX01.0004. PLoS One 2013; 8:e55254 [View Article] [PubMed]
    [Google Scholar]
  24. Saeed AM, Walk ST, Arshad M, Whittam TS. Clonal structure and variation in virulence of Salmonella enteritidis isolated from mice, chickens, and humans. J AOAC Int 2006; 89:504–511 [PubMed]
    [Google Scholar]
  25. Deng X, Shariat N, Driebe EM, Roe CC, Tolar B et al. Comparative analysis of subtyping methods against a whole-genome-sequencing standard for Salmonella enterica serotype Enteritidis. J Clin Microbiol 2015; 53:212–218 [View Article] [PubMed]
    [Google Scholar]
  26. Waldram A, Dolan G, Ashton PM, Jenkins C, Dallman TJ. Epidemiological analysis of Salmonella clusters identified by whole genome sequencing, England and Wales 2014. Food Microbiol 2018; 71:39–45 [View Article] [PubMed]
    [Google Scholar]
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