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A Syst-OMICS approach to ensuring food safety and reducing the economic burden of Salmonellosis


Emond Rheault, J G; Jeukens, J; Freschi, L; Kukavica-Ibrulj, I; Boyle, B; Dupont, M J; Stephan, Roger; Goodridge, Lawrence; Levesque, Roger C; et al (2017). A Syst-OMICS approach to ensuring food safety and reducing the economic burden of Salmonellosis. Frontiers in Microbiology, 8:996.

Abstract

The Salmonella Syst-OMICS consortium is sequencing 4,500 Salmonella genomes and building an analysis pipeline for the study of Salmonella genome evolution, antibiotic resistance and virulence genes. Metadata, including phenotypic as well as genomic data, for isolates of the collection are provided through the Salmonella Foodborne Syst-OMICS database (SalFoS), at https://salfos.ibis.ulaval.ca/. Here, we present our strategy and the analysis of the first 3,377 genomes. Our data will be used to draw potential links between strains found in fresh produce, humans, animals and the environment. The ultimate goals are to understand how Salmonella evolves over time, improve the accuracy of diagnostic methods, develop control methods in the field, and identify prognostic markers for evidence-based decisions in epidemiology and surveillance.

Abstract

The Salmonella Syst-OMICS consortium is sequencing 4,500 Salmonella genomes and building an analysis pipeline for the study of Salmonella genome evolution, antibiotic resistance and virulence genes. Metadata, including phenotypic as well as genomic data, for isolates of the collection are provided through the Salmonella Foodborne Syst-OMICS database (SalFoS), at https://salfos.ibis.ulaval.ca/. Here, we present our strategy and the analysis of the first 3,377 genomes. Our data will be used to draw potential links between strains found in fresh produce, humans, animals and the environment. The ultimate goals are to understand how Salmonella evolves over time, improve the accuracy of diagnostic methods, develop control methods in the field, and identify prognostic markers for evidence-based decisions in epidemiology and surveillance.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:05 Vetsuisse Faculty > Institute of Food Safety and Hygiene
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Scopus Subject Areas:Life Sciences > Microbiology
Health Sciences > Microbiology (medical)
Uncontrolled Keywords:Salmonella, antibiotic resistance, bacterial genomics, database, foodborne pathogen, next-generation sequencing, phylogeny
Language:English
Date:2017
Deposited On:14 Feb 2018 18:38
Last Modified:26 Jan 2022 16:06
Publisher:Frontiers Research Foundation
ISSN:1664-302X
OA Status:Gold
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.3389/fmicb.2017.00996
PubMed ID:28626454
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)