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

Authors :
EFSA Panel on Biological Hazards (EFSA BIOHAZ Panel)
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
Source :
EFSA Journal, Vol 17, Iss 12, Pp n/a-n/a (2019)
Publication Year :
2019
Publisher :
Wiley, 2019.

Abstract

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.

Details

Language :
English
ISSN :
18314732
Volume :
17
Issue :
12
Database :
Directory of Open Access Journals
Journal :
EFSA Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.10be660a5b8843b4ab5cb9cb6cde3bed
Document Type :
article
Full Text :
https://doi.org/10.2903/j.efsa.2019.5898