Literature DB >> 29526232

Comparison of advanced whole genome sequence-based methods to distinguish strains of Salmonella enterica serovar Heidelberg involved in foodborne outbreaks in Québec.

Caroline Vincent1, Valentine Usongo2, Chrystal Berry3, Denise M Tremblay4, Sylvain Moineau4, Khadidja Yousfi5, Florence Doualla-Bell5, Eric Fournier5, Céline Nadon3, Lawrence Goodridge6, Sadjia Bekal7.   

Abstract

Salmonella enterica serovar Heidelberg (S. Heidelberg) is one of the top serovars causing human salmonellosis. This serovar ranks second and third among serovars that cause human infections in Québec and Canada, respectively, and has been associated with severe infections. Traditional typing methods such as PFGE do not display adequate discrimination required to resolve outbreak investigations due to the low level of genetic diversity of isolates belonging to this serovar. This study evaluates the ability of four whole genome sequence (WGS)-based typing methods to differentiate among 145 S. Heidelberg strains involved in four distinct outbreak events and sporadic cases of salmonellosis that occurred in Québec between 2007 and 2016. Isolates from all outbreaks were indistinguishable by PFGE. The core genome single nucleotide variant (SNV), core genome multilocus sequence typing (MLST) and whole genome MLST approaches were highly discriminatory and separated outbreak strains into four distinct phylogenetic clusters that were concordant with the epidemiological data. The clustered regularly interspaced short palindromic repeats (CRISPR) typing method was less discriminatory. However, CRISPR typing may be used as a secondary method to differentiate isolates of S. Heidelberg that are genetically similar but epidemiologically unrelated to outbreak events. WGS-based typing methods provide a highly discriminatory alternative to PFGE for the laboratory investigation of foodborne outbreaks.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  CRISPR; Core genome SNV; Core/whole genome MLST; Foodborne outbreaks; PFGE; Salmonella Heidelberg

Mesh:

Year:  2018        PMID: 29526232     DOI: 10.1016/j.fm.2018.01.004

Source DB:  PubMed          Journal:  Food Microbiol        ISSN: 0740-0020            Impact factor:   5.516


  13 in total

1.  Evaluation of whole-genome sequencing for outbreak detection of Verotoxigenic Escherichia coli O157:H7 from the Canadian perspective.

Authors:  Jillian Rumore; Lorelee Tschetter; Ashley Kearney; Rima Kandar; Rachel McCormick; Matthew Walker; Christy-Lynn Peterson; Aleisha Reimer; Celine Nadon
Journal:  BMC Genomics       Date:  2018-12-04       Impact factor: 3.969

Review 2.  Status and potential of bacterial genomics for public health practice: a scoping review.

Authors:  Nina Van Goethem; Tine Descamps; Brecht Devleesschauwer; Nancy H C Roosens; Nele A M Boon; Herman Van Oyen; Annie Robert
Journal:  Implement Sci       Date:  2019-08-13       Impact factor: 7.327

3.  A Simple and Robust Statistical Method to Define Genetic Relatedness of Samples Related to Outbreaks at the Genomic Scale - Application to Retrospective Salmonella Foodborne Outbreak Investigations.

Authors:  Nicolas Radomski; Sabrina Cadel-Six; Emeline Cherchame; Arnaud Felten; Pauline Barbet; Federica Palma; Ludovic Mallet; Simon Le Hello; François-Xavier Weill; Laurent Guillier; Michel-Yves Mistou
Journal:  Front Microbiol       Date:  2019-10-24       Impact factor: 5.640

Review 4.  Typing methods based on whole genome sequencing data.

Authors:  Laura Uelze; Josephine Grützke; Maria Borowiak; Jens Andre Hammerl; Katharina Juraschek; Carlus Deneke; Simon H Tausch; Burkhard Malorny
Journal:  One Health Outlook       Date:  2020-02-18

5.  Evaluation of whole-genome sequencing-based subtyping methods for the surveillance of Shigella spp. and the confounding effect of mobile genetic elements in long-term outbreaks.

Authors:  Isabelle Bernaquez; Christiane Gaudreau; Pierre A Pilon; Sadjia Bekal
Journal:  Microb Genom       Date:  2021-11

6.  Clustered Regularly Interspaced Short Palindromic Repeats Genotyping of Multidrug-Resistant Salmonella Heidelberg Strains Isolated From the Poultry Production Chain Across Brazil.

Authors:  Daniel F M Monte; Matthew A Nethery; Hanna Berman; Shivaramu Keelara; Nilton Lincopan; Paula J Fedorka-Cray; Rodolphe Barrangou; Mariza Landgraf
Journal:  Front Microbiol       Date:  2022-06-17       Impact factor: 6.064

Review 7.  Ceftiofur-resistant Salmonella enterica serovar Heidelberg of poultry origin - a risk profile using the Codex framework.

Authors:  Carolee Carson; Xian-Zhi Li; Agnes Agunos; Daleen Loest; Brennan Chapman; Rita Finley; Manisha Mehrotra; Lauren M Sherk; Réjean Gaumond; Rebecca Irwin
Journal:  Epidemiol Infect       Date:  2019-11-04       Impact factor: 2.451

8.  Whole Genome Sequencing Differentiates Presumptive Extended Spectrum Beta-Lactamase Producing Escherichia coli along Segments of the One Health Continuum.

Authors:  Emelia H Adator; Matthew Walker; Claudia Narvaez-Bravo; Rahat Zaheer; Noriko Goji; Shaun R Cook; Lisa Tymensen; Sherry J Hannon; Deirdre Church; Calvin W Booker; Kingsley Amoako; Celine A Nadon; Ron Read; Tim A McAllister
Journal:  Microorganisms       Date:  2020-03-22

Review 9.  Genomic Characterization of Antimicrobial Resistance in Food Chain and Livestock-Associated Salmonella Species.

Authors:  Thobeka P Mthembu; Oliver T Zishiri; Mohamed E El Zowalaty
Journal:  Animals (Basel)       Date:  2021-03-18       Impact factor: 2.752

10.  Horizontal Gene Transfer Is the Main Driver of Antimicrobial Resistance in Broiler Chicks Infected with Salmonella enterica Serovar Heidelberg.

Authors:  Adelumola Oladeinde; Zaid Abdo; Maximilian O Press; Kimberly Cook; Nelson A Cox; Benjamin Zwirzitz; Reed Woyda; Steven M Lakin; Jesse C Thomas; Torey Looft; Douglas E Cosby; Arthur Hinton; Jean Guard; Eric Line; Michael J Rothrock; Mark E Berrang; Kyler Herrington; Gregory Zock; Jodie Plumblee Lawrence; Denice Cudnik; Sandra House; Kimberly Ingram; Leah Lariscy; Martin Wagner; Samuel E Aggrey; Lilong Chai; Casey Ritz
Journal:  mSystems       Date:  2021-08-24       Impact factor: 6.496

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