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Whole genome sequencing and metagenomics for outbreak investigation, source attribution and risk assessment of food‐borne microorganisms
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‐attrib...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7008917/ https://www.ncbi.nlm.nih.gov/pubmed/32626197 http://dx.doi.org/10.2903/j.efsa.2019.5898 |
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author | Koutsoumanis, Kostas Allende, Ana Alvarez‐Ordóñez, Avelino Bolton, Declan Bover‐Cid, Sara Chemaly, Marianne Davies, Robert De Cesare, Alessandra Hilbert, Friederike Lindqvist, Roland Nauta, Maarten Peixe, Luisa Ru, Giuseppe Simmons, Marion Skandamis, Panagiotis Suffredini, Elisabetta Jenkins, Claire Malorny, Burkhard Ribeiro Duarte, Ana Sofia Torpdahl, Mia da Silva Felício, Maria Teresa Guerra, Beatriz Rossi, Mirko Herman, Lieve |
author_facet | Koutsoumanis, Kostas Allende, Ana Alvarez‐Ordóñez, Avelino Bolton, Declan Bover‐Cid, Sara Chemaly, Marianne Davies, Robert De Cesare, Alessandra Hilbert, Friederike Lindqvist, Roland Nauta, Maarten Peixe, Luisa Ru, Giuseppe Simmons, Marion Skandamis, Panagiotis Suffredini, Elisabetta Jenkins, Claire Malorny, Burkhard Ribeiro Duarte, Ana Sofia Torpdahl, Mia da Silva Felício, Maria Teresa Guerra, Beatriz Rossi, Mirko Herman, Lieve |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7008917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70089172020-07-02 Whole genome sequencing and metagenomics for outbreak investigation, source attribution and risk assessment of food‐borne microorganisms Koutsoumanis, Kostas Allende, Ana Alvarez‐Ordóñez, Avelino Bolton, Declan Bover‐Cid, Sara Chemaly, Marianne Davies, Robert De Cesare, Alessandra Hilbert, Friederike Lindqvist, Roland Nauta, Maarten Peixe, Luisa Ru, Giuseppe Simmons, Marion Skandamis, Panagiotis Suffredini, Elisabetta Jenkins, Claire Malorny, Burkhard Ribeiro Duarte, Ana Sofia Torpdahl, Mia da Silva Felício, Maria Teresa Guerra, Beatriz Rossi, Mirko Herman, Lieve EFSA J Scientific Opinion 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. John Wiley and Sons Inc. 2019-12-03 /pmc/articles/PMC7008917/ /pubmed/32626197 http://dx.doi.org/10.2903/j.efsa.2019.5898 Text en © 2019 European Food Safety Authority. EFSA Journal published by John Wiley and Sons Ltd on behalf of European Food Safety Authority. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited and no modifications or adaptations are made. |
spellingShingle | Scientific Opinion Koutsoumanis, Kostas Allende, Ana Alvarez‐Ordóñez, Avelino Bolton, Declan Bover‐Cid, Sara Chemaly, Marianne Davies, Robert De Cesare, Alessandra Hilbert, Friederike Lindqvist, Roland Nauta, Maarten Peixe, Luisa Ru, Giuseppe Simmons, Marion Skandamis, Panagiotis Suffredini, Elisabetta Jenkins, Claire Malorny, Burkhard Ribeiro Duarte, Ana Sofia Torpdahl, Mia da Silva Felício, Maria Teresa Guerra, Beatriz Rossi, Mirko Herman, Lieve Whole genome sequencing and metagenomics for outbreak investigation, source attribution and risk assessment of food‐borne microorganisms |
title | Whole genome sequencing and metagenomics for outbreak investigation, source attribution and risk assessment of food‐borne microorganisms |
title_full | Whole genome sequencing and metagenomics for outbreak investigation, source attribution and risk assessment of food‐borne microorganisms |
title_fullStr | Whole genome sequencing and metagenomics for outbreak investigation, source attribution and risk assessment of food‐borne microorganisms |
title_full_unstemmed | Whole genome sequencing and metagenomics for outbreak investigation, source attribution and risk assessment of food‐borne microorganisms |
title_short | Whole genome sequencing and metagenomics for outbreak investigation, source attribution and risk assessment of food‐borne microorganisms |
title_sort | whole genome sequencing and metagenomics for outbreak investigation, source attribution and risk assessment of food‐borne microorganisms |
topic | Scientific Opinion |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7008917/ https://www.ncbi.nlm.nih.gov/pubmed/32626197 http://dx.doi.org/10.2903/j.efsa.2019.5898 |
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