Literature DB >> 32626197

Whole genome sequencing and metagenomics for outbreak investigation, source attribution and risk assessment of food-borne microorganisms.

Kostas Koutsoumanis, Ana Allende, Avelino Alvarez-Ordóñez, Declan Bolton, Sara Bover-Cid, Marianne Chemaly, Robert Davies, Alessandra De Cesare, Friederike Hilbert, Roland Lindqvist, Maarten Nauta, Luisa Peixe, Giuseppe Ru, Marion Simmons, Panagiotis Skandamis, Elisabetta Suffredini, Claire Jenkins, Burkhard Malorny, Ana Sofia Ribeiro Duarte, Mia Torpdahl, Maria Teresa da Silva Felício, Beatriz Guerra, Mirko Rossi, Lieve Herman.   

Abstract

This Opinion considers the application of whole genome sequencing (WGS) and metagenomics for outbreak investigation, source attribution and risk assessment of food-borne pathogens. WGS offers the highest level of bacterial strain discrimination for food-borne outbreak investigation and source-attribution as well as potential for more precise hazard identification, thereby facilitating more targeted risk assessment and risk management. WGS improves linking of sporadic cases associated with different food products and geographical regions to a point source outbreak and can facilitate epidemiological investigations, allowing also the use of previously sequenced genomes. Source attribution may be favoured by improved identification of transmission pathways, through the integration of spatial-temporal factors and the detection of multidirectional transmission and pathogen-host interactions. Metagenomics has potential, especially in relation to the detection and characterisation of non-culturable, difficult-to-culture or slow-growing microorganisms, for tracking of hazard-related genetic determinants and the dynamic evaluation of the composition and functionality of complex microbial communities. A SWOT analysis is provided on the use of WGS and metagenomics for Salmonella and Shigatoxin-producing Escherichia coli (STEC) serotyping and the identification of antimicrobial resistance determinants in bacteria. Close agreement between phenotypic and WGS-based genotyping data has been observed. WGS provides additional information on the nature and localisation of antimicrobial resistance determinants and on their dissemination potential by horizontal gene transfer, as well as on genes relating to virulence and biological fitness. Interoperable data will play a major role in the future use of WGS and metagenomic data. Capacity building based on harmonised, quality controlled operational systems within European laboratories and worldwide is essential for the investigation of cross-border outbreaks and for the development of international standardised risk assessments of food-borne microorganisms.
© 2019 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority.

Entities:  

Keywords:  antimicrobial resistance; food‐borne outbreak investigation; metagenomics; microbial risk assessment; source attribution; typing of food‐borne pathogens; whole genome sequencing

Year:  2019        PMID: 32626197      PMCID: PMC7008917          DOI: 10.2903/j.efsa.2019.5898

Source DB:  PubMed          Journal:  EFSA J        ISSN: 1831-4732


  24 in total

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Authors:  Madeleine De Sousa Violante; Gaëtan Podeur; Valérie Michel; Laurent Guillier; Nicolas Radomski; Renaud Lailler; Simon Le Hello; François-Xavier Weill; Michel-Yves Mistou; Ludovic Mallet
Journal:  NAR Genom Bioinform       Date:  2022-07-09

2.  Application of a strain-level shotgun metagenomics approach on food samples: resolution of the source of a Salmonella food-borne outbreak.

Authors:  Florence E Buytaers; Assia Saltykova; Wesley Mattheus; Bavo Verhaegen; Nancy H C Roosens; Kevin Vanneste; Valeska Laisnez; Naïma Hammami; Brigitte Pochet; Vera Cantaert; Kathleen Marchal; Sarah Denayer; Sigrid C J De Keersmaecker
Journal:  Microb Genom       Date:  2021-04

3.  Quantitative Microbial Risk Assessment Based on Whole Genome Sequencing Data: Case of Listeria monocytogenes.

Authors:  Patrick Murigu Kamau Njage; Pimlapas Leekitcharoenphon; Lisbeth Truelstrup Hansen; Rene S Hendriksen; Christel Faes; Marc Aerts; Tine Hald
Journal:  Microorganisms       Date:  2020-11-11

4.  Metagenomics-Based Proficiency Test of Smoked Salmon Spiked with a Mock Community.

Authors:  Claudia Sala; Hanne Mordhorst; Josephine Grützke; Annika Brinkmann; Thomas N Petersen; Casper Poulsen; Paul D Cotter; Fiona Crispie; Richard J Ellis; Gastone Castellani; Clara Amid; Mikhayil Hakhverdyan; Soizick Le Guyader; Gerardo Manfreda; Jöel Mossong; Andreas Nitsche; Catherine Ragimbeau; Julien Schaeffer; Joergen Schlundt; Moon Y F Tay; Frank M Aarestrup; Rene S Hendriksen; Sünje Johanna Pamp; Alessandra De Cesare
Journal:  Microorganisms       Date:  2020-11-25

5.  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

6.  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

7.  Toward an Integrated Genome-Based Surveillance of Salmonella enterica in Germany.

Authors:  Laura Uelze; Natalie Becker; Maria Borowiak; Ulrich Busch; Alexandra Dangel; Carlus Deneke; Jennie Fischer; Antje Flieger; Sabrina Hepner; Ingrid Huber; Ulrich Methner; Jörg Linde; Michael Pietsch; Sandra Simon; Andreas Sing; Simon H Tausch; Istvan Szabo; Burkhard Malorny
Journal:  Front Microbiol       Date:  2021-02-10       Impact factor: 5.640

8.  Big Data Impacting Dynamic Food Safety Risk Management in the Food Chain.

Authors:  John A Donaghy; Michelle D Danyluk; Tom Ross; Bobby Krishna; Jeff Farber
Journal:  Front Microbiol       Date:  2021-05-21       Impact factor: 5.640

9.  Strain-Level Metagenomic Data Analysis of Enriched In Vitro and In Silico Spiked Food Samples: Paving the Way towards a Culture-Free Foodborne Outbreak Investigation Using STEC as a Case Study.

Authors:  Assia Saltykova; Florence E Buytaers; Sarah Denayer; Bavo Verhaegen; Denis Piérard; Nancy H C Roosens; Kathleen Marchal; Sigrid C J De Keersmaecker
Journal:  Int J Mol Sci       Date:  2020-08-08       Impact factor: 5.923

10.  Role played by the environment in the emergence and spread of antimicrobial resistance (AMR) through the food chain.

Authors:  Konstantinos Koutsoumanis; Ana Allende; Avelino Álvarez-Ordóñez; Declan Bolton; Sara Bover-Cid; Marianne Chemaly; Robert Davies; Alessandra De Cesare; Lieve Herman; Friederike Hilbert; Roland Lindqvist; Maarten Nauta; Giuseppe Ru; Marion Simmons; Panagiotis Skandamis; Elisabetta Suffredini; Héctor Argüello; Thomas Berendonk; Lina Maria Cavaco; William Gaze; Heike Schmitt; Ed Topp; Beatriz Guerra; Ernesto Liébana; Pietro Stella; Luisa Peixe
Journal:  EFSA J       Date:  2021-06-17
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