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Crouse, Alanna; Schramm, Catherine; Emond-Rheault, Jean-Guillaume; Herod, Adrian; Kerhoas, Maud; Rohde, John; Gruenheid, Samantha; Kukavica-Ibrulj, Irena; Boyle, Brian; Greenwood, Celia M. T.; Goodridge, Lawrence D.; Garduno, Rafael; Levesque, Roger C.; Malo, Danielle; Daigle, France

Combining Whole-Genome Sequencing and Multimodel Phenotyping To Identify Genetic Predictors of Salmonella Virulence

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  • Media type: E-Article
  • Title: Combining Whole-Genome Sequencing and Multimodel Phenotyping To Identify Genetic Predictors of Salmonella Virulence
  • Contributor: Crouse, Alanna; Schramm, Catherine; Emond-Rheault, Jean-Guillaume; Herod, Adrian; Kerhoas, Maud; Rohde, John; Gruenheid, Samantha; Kukavica-Ibrulj, Irena; Boyle, Brian; Greenwood, Celia M. T.; Goodridge, Lawrence D.; Garduno, Rafael; Levesque, Roger C.; Malo, Danielle; Daigle, France
  • imprint: American Society for Microbiology, 2020
  • Published in: mSphere
  • Language: English
  • DOI: 10.1128/msphere.00293-20
  • ISSN: 2379-5042
  • Keywords: Molecular Biology ; Microbiology
  • Origination:
  • Footnote:
  • Description: <jats:p> <jats:italic>Salmonella</jats:italic> species are bacteria that are a major source of foodborne disease through contamination of a diversity of foods, including meat, eggs, fruits, nuts, and vegetables. More than 2,600 different <jats:named-content content-type="genus-species">Salmonella enterica</jats:named-content> serovars have been identified, and only a few of them are associated with illness in humans. Despite the fact that they are genetically closely related, there is enormous variation in the virulence of different isolates of <jats:named-content content-type="genus-species">Salmonella enterica</jats:named-content> . Identification of foodborne pathogens is a lengthy process based on microbiological, biochemical, and immunological methods. Here, we worked toward new ways of integrating whole-genome sequencing (WGS) approaches into food safety practices. We used WGS to build associations between virulence and genetic diversity within 83 <jats:italic>Salmonella</jats:italic> isolates representing 77 different <jats:italic>Salmonella</jats:italic> serovars. Our work demonstrates the potential of combining a genomics approach and virulence tests to improve the diagnostics and assess risk of human illness associated with specific <jats:italic>Salmonella</jats:italic> isolates. </jats:p>
  • Access State: Open Access