| 28626454 |
A Syst-OMICS Approach to Ensuring Food Safety and Reducing the Economic Burden of Salmonellosis. [PMID: 28626454]
Emond-Rheault JG, Jeukens J, Freschi L, Kukavica-Ibrulj I, Boyle B, Dupont MJ, Colavecchio A, Barrere V, Cadieux B, Arya G, Bekal S, Berry C, Burnett E, Cavestri C, Chapin TK, Crouse A, Daigle F, Danyluk MD, Delaquis P, Dewar K, Doualla-Bell F, Fliss I, Fong K, Fournier E, Franz E, Garduno R, Gill A, Gruenheid S, Harris L, Huang CB, Huang H, Johnson R, Joly Y, Kerhoas M, Kong N, Lapointe G, Larivière L, Loignon S, Malo D, Moineau S, Mottawea W, Mukhopadhyay K, Nadon C, Nash J, Ngueng Feze I, Ogunremi D, Perets A, Pilar AV, Reimer AR, Robertson J, Rohde J, Sanderson KE, Song L, Stephan R, Tamber S, Thomassin P, Tremblay D, Usongo V, Vincent C, Wang S, Weadge JT, Wiedmann M, Wijnands L, Wilson ED, Wittum T, Yoshida C, Youfsi K, Zhu L, Weimer BC, Goodridge L, Levesque RC.
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.
Front Microbiol. 2017:8()
| 26 Citations (from Europe
PMC, 2025-12-13)
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