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A syst-OMICS approach to ensuring food safety and reducing the economic burden of salmonellosis

Title: A syst-OMICS approach to ensuring food safety and reducing the economic burden of salmonellosis
Authors: Emond Rheault, Jean-Guillaume; Jeukens, Julie; Freschi, Luca; Kukavica-Ibrulj, Iréna; Boyle, Brian; Dupont, Marie-Josée; Colavecchio, Anna; Barrere, Virginie; Cadieux, Brigitte; Arya, Gitanjali; Bekal, Sadjia; Berry, Chrystal; Burnett, Elton; Cavestri, Camille; Chapin, Travis K.; Crouse, Alanna; Daigle, France; Danyluk, Michelle D.; Delaquis, Pascal J.; Dewar, Ken; Doualla-Bell, Florence; Fliss, Ismaïl; Fong, Karen; Fournier, Éric; Franz, Eelco; Garduno, Rafael; Gill, Alexander; Gruenheid, Samantha; Harris, Linda J.; Huang, Carol B.; Huang, Hongsheng; Johnson, Roger; Joly, Yann; Kerhoas, Maud; Kong, Nguyet; Lapointe, Gisèle; Larivière, Line; Loignon, Stéphanie; Malo, Danielle; Moineau, Sylvain; Mottawea, Walid; Mukhopadhyay, Kakali; Nadon, Céline; Nash, John; Ngueng Feze, Ida; Ogunremi, Dele; Perets, Ann; Pilar, Ana V.; Reimer, Aleisha R.; Robertson, James; Rohde, John; Sanderson, Kenneth E.; Song, Lingqiao; Stephan, Roger; Tamber, Sandeep; Thomassin, Paul J.; Tremblay, Denise; Usongo, Valentine; Vincent, Caroline; Wang, Siyun; Weadge, Joel T.; Wiedmann, Martin; Wijnands, Lucas; Wilson, Emily D.; Wittum, Thomas; Yoshida, Catherine; Yousfi, Khadija; Zhu, Lei; Weimer, Bart C.; Goodridge, Lawrence; Lévesque, Roger C.
Source: CorpusUL
Publisher Information: Frontiers Media S.A.
Publication Year: 2017
Subject Terms: socio; envir
Description: 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.
Document Type: article in journal/newspaper
Language: English
Relation: http://hdl.handle.net/20.500.11794/38647
Availability: https://hdl.handle.net/20.500.11794/38647
Rights: other
Accession Number: edsbas.5C56A26
Database: BASE