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

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

Salmonella 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 Salmonella enterica serovars have been identified, and only a few of them are associated with illn...

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Bibliographic Details
Main Authors: Alanna Crouse, Catherine Schramm, Jean-Guillaume Emond-Rheault, Adrian Herod, Maud Kerhoas, John Rohde, Samantha Gruenheid, Irena Kukavica-Ibrulj, Brian Boyle, Celia M. T. Greenwood, Lawrence D. Goodridge, Rafael Garduno, Roger C. Levesque, Danielle Malo, France Daigle
Format: Article
Language:English
Published: American Society for Microbiology 2020-06-01
Series:mSphere
Subjects:
salmonella
amoeba
epithelial cells
food safety
host cell interaction
macrophages
prediction
systemic infection
virulence
whole-genome sequencing
Online Access:https://doi.org/10.1128/mSphere.00293-20

Internet

https://doi.org/10.1128/mSphere.00293-20

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