Header

UZH-Logo

Maintenance Infos

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 (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.

Statistics

Citations

Dimensions.ai Metrics
7 citations in Web of Science®
5 citations in Scopus®
11 citations in Microsoft Academic
Google Scholar™

Altmetrics

Downloads

2 downloads since deposited on 14 Feb 2018
2 downloads since 12 months
Detailed statistics

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
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:01 Mar 2018 01:58
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

Download

Download PDF  'A Syst-OMICS approach to ensuring food safety and reducing the economic burden of Salmonellosis'.
Preview
Content: Published Version
Language: English
Filetype: PDF
Size: 2MB
View at publisher
Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)