Literature DB >> 30903917

Whole genome sequencing used in an industrial context reveals a Salmonella laboratory cross-contamination.

Katia Rouzeau-Szynalski1, Caroline Barretto2, Coralie Fournier3, Deborah Moine3, Johan Gimonet2, Leen Baert2.   

Abstract

In 2013, during a routine laboratory analysis performed on food samples, one finished product from a European factory was tested positive for Salmonella Hadar. At the same period, one environmental isolate in the same laboratory was serotyped Salmonella Hadar. Prior to this event, the laboratory performed a proficiency testing involving a sample spiked with NCTC 9877 Salmonella Hadar. The concomitance of Salmonella Hadar detection led to the suspicion of a laboratory cross-contamination between the Salmonella Hadar isolate used in the laboratory proficiency testing and the Salmonella Hadar isolate found on the finished product by the same laboratory. Since the classical phenotypic serotyping method is able to attribute a serotype to Salmonella isolates with a common antigenic formula, but cannot differentiate strains of the same serotype within the subspecies, whole genome sequencing was used to test the laboratory cross-contamination hypothesis. Additionally, 12 Salmonella Hadar from public databases, available until the time of the event, were included in the whole genome sequencing analysis to better understand the genomic diversity of this serotype in Europe. The outcome of the analysis showed a maximum of ten single nucleotide polymorphisms (SNPs) between the isolates coming from the laboratory and the finished product, and thus confirmed the laboratory cross-contamination. These results combined with all additional investigations done at the factory, allowed to release finished product batches produced and thus circumvented unnecessary food waste and economic losses for the factory.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Laboratory cross-contamination; SNP; Salmonella Hadar; Sequence; WGS

Mesh:

Year:  2019        PMID: 30903917     DOI: 10.1016/j.ijfoodmicro.2019.03.007

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  5 in total

1.  Implications of Mobile Genetic Elements for Salmonella enterica Single-Nucleotide Polymorphism Subtyping and Source Tracking Investigations.

Authors:  Shaoting Li; Shaokang Zhang; Leen Baert; Balamurugan Jagadeesan; Catherine Ngom-Bru; Taylor Griswold; Lee S Katz; Heather A Carleton; Xiangyu Deng
Journal:  Appl Environ Microbiol       Date:  2019-11-27       Impact factor: 4.792

2.  Whole Genome Sequencing Applied to Pathogen Source Tracking in Food Industry: Key Considerations for Robust Bioinformatics Data Analysis and Reliable Results Interpretation.

Authors:  Caroline Barretto; Cristian Rincón; Anne-Catherine Portmann; Catherine Ngom-Bru
Journal:  Genes (Basel)       Date:  2021-02-15       Impact factor: 4.096

3.  Genetic changes are introduced by repeated exposure of Salmonella spiked in low water activity and high fat matrix to heat.

Authors:  Leen Baert; Johan Gimonet; Caroline Barretto; Coralie Fournier; Balamurugan Jagadeesan
Journal:  Sci Rep       Date:  2021-04-14       Impact factor: 4.379

Review 4.  The power, potential, benefits, and challenges of implementing high-throughput sequencing in food safety systems.

Authors:  Behzad Imanian; John Donaghy; Tim Jackson; Sanjay Gummalla; Balasubramanian Ganesan; Robert C Baker; Matthew Henderson; Emily K Butler; Yingying Hong; Brendan Ring; Clare Thorp; Ramin Khaksar; Mansour Samadpour; Kahlil A Lawless; Iain MacLaren-Lee; Heather A Carleton; Renmao Tian; Wei Zhang; Jason Wan
Journal:  NPJ Sci Food       Date:  2022-08-16

5.  Salmonella Serotyping; Comparison of the Traditional Method to a Microarray-Based Method and an in silico Platform Using Whole Genome Sequencing Data.

Authors:  Benjamin Diep; Caroline Barretto; Anne-Catherine Portmann; Coralie Fournier; Aneta Karczmarek; Guido Voets; Shaoting Li; Xiangyu Deng; Adrianne Klijn
Journal:  Front Microbiol       Date:  2019-11-11       Impact factor: 5.640

  5 in total

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