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Transforming Shiga toxin-producing Escherichia coli surveillance through whole genome sequencing in food safety practices

INTRODUCTION: Shiga toxin-producing Escherichia coli (STEC) is a gastrointestinal pathogen causing foodborne outbreaks. Whole Genome Sequencing (WGS) in STEC surveillance holds promise in outbreak prevention and confinement, in broadening STEC epidemiology and in contributing to risk assessment and...

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Autores principales: Nouws, Stéphanie, Verhaegen, Bavo, Denayer, Sarah, Crombé, Florence, Piérard, Denis, Bogaerts, Bert, Vanneste, Kevin, Marchal, Kathleen, Roosens, Nancy H. C., De Keersmaecker, Sigrid C. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381951/
https://www.ncbi.nlm.nih.gov/pubmed/37520372
http://dx.doi.org/10.3389/fmicb.2023.1204630
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author Nouws, Stéphanie
Verhaegen, Bavo
Denayer, Sarah
Crombé, Florence
Piérard, Denis
Bogaerts, Bert
Vanneste, Kevin
Marchal, Kathleen
Roosens, Nancy H. C.
De Keersmaecker, Sigrid C. J.
author_facet Nouws, Stéphanie
Verhaegen, Bavo
Denayer, Sarah
Crombé, Florence
Piérard, Denis
Bogaerts, Bert
Vanneste, Kevin
Marchal, Kathleen
Roosens, Nancy H. C.
De Keersmaecker, Sigrid C. J.
author_sort Nouws, Stéphanie
collection PubMed
description INTRODUCTION: Shiga toxin-producing Escherichia coli (STEC) is a gastrointestinal pathogen causing foodborne outbreaks. Whole Genome Sequencing (WGS) in STEC surveillance holds promise in outbreak prevention and confinement, in broadening STEC epidemiology and in contributing to risk assessment and source attribution. However, despite international recommendations, WGS is often restricted to assist outbreak investigation and is not yet fully implemented in food safety surveillance across all European countries, in contrast to for example in the United States. METHODS: In this study, WGS was retrospectively applied to isolates collected within the context of Belgian food safety surveillance and combined with data from clinical isolates to evaluate its benefits. A cross-sector WGS-based collection of 754 strains from 1998 to 2020 was analyzed. RESULTS: We confirmed that WGS in food safety surveillance allows accurate detection of genomic relationships between human cases and strains isolated from food samples, including those dispersed over time and geographical locations. Identifying these links can reveal new insights into outbreaks and direct epidemiological investigations to facilitate outbreak management. Complete WGS-based isolate characterization enabled expanding epidemiological insights related to circulating serotypes, virulence genes and antimicrobial resistance across different reservoirs. Moreover, associations between virulence genes and severe disease were determined by incorporating human metadata into the data analysis. Gaps in the surveillance system were identified and suggestions for optimization related to sample centralization, harmonizing isolation methods, and expanding sampling strategies were formulated. DISCUSSION: This study contributes to developing a representative WGS-based collection of circulating STEC strains and by illustrating its benefits, it aims to incite policymakers to support WGS uptake in food safety surveillance.
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spelling pubmed-103819512023-07-29 Transforming Shiga toxin-producing Escherichia coli surveillance through whole genome sequencing in food safety practices Nouws, Stéphanie Verhaegen, Bavo Denayer, Sarah Crombé, Florence Piérard, Denis Bogaerts, Bert Vanneste, Kevin Marchal, Kathleen Roosens, Nancy H. C. De Keersmaecker, Sigrid C. J. Front Microbiol Microbiology INTRODUCTION: Shiga toxin-producing Escherichia coli (STEC) is a gastrointestinal pathogen causing foodborne outbreaks. Whole Genome Sequencing (WGS) in STEC surveillance holds promise in outbreak prevention and confinement, in broadening STEC epidemiology and in contributing to risk assessment and source attribution. However, despite international recommendations, WGS is often restricted to assist outbreak investigation and is not yet fully implemented in food safety surveillance across all European countries, in contrast to for example in the United States. METHODS: In this study, WGS was retrospectively applied to isolates collected within the context of Belgian food safety surveillance and combined with data from clinical isolates to evaluate its benefits. A cross-sector WGS-based collection of 754 strains from 1998 to 2020 was analyzed. RESULTS: We confirmed that WGS in food safety surveillance allows accurate detection of genomic relationships between human cases and strains isolated from food samples, including those dispersed over time and geographical locations. Identifying these links can reveal new insights into outbreaks and direct epidemiological investigations to facilitate outbreak management. Complete WGS-based isolate characterization enabled expanding epidemiological insights related to circulating serotypes, virulence genes and antimicrobial resistance across different reservoirs. Moreover, associations between virulence genes and severe disease were determined by incorporating human metadata into the data analysis. Gaps in the surveillance system were identified and suggestions for optimization related to sample centralization, harmonizing isolation methods, and expanding sampling strategies were formulated. DISCUSSION: This study contributes to developing a representative WGS-based collection of circulating STEC strains and by illustrating its benefits, it aims to incite policymakers to support WGS uptake in food safety surveillance. Frontiers Media S.A. 2023-07-13 /pmc/articles/PMC10381951/ /pubmed/37520372 http://dx.doi.org/10.3389/fmicb.2023.1204630 Text en Copyright © 2023 Nouws, Verhaegen, Denayer, Crombé, Piérard, Bogaerts, Vanneste, Marchal, Roosens and De Keersmaecker. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Nouws, Stéphanie
Verhaegen, Bavo
Denayer, Sarah
Crombé, Florence
Piérard, Denis
Bogaerts, Bert
Vanneste, Kevin
Marchal, Kathleen
Roosens, Nancy H. C.
De Keersmaecker, Sigrid C. J.
Transforming Shiga toxin-producing Escherichia coli surveillance through whole genome sequencing in food safety practices
title Transforming Shiga toxin-producing Escherichia coli surveillance through whole genome sequencing in food safety practices
title_full Transforming Shiga toxin-producing Escherichia coli surveillance through whole genome sequencing in food safety practices
title_fullStr Transforming Shiga toxin-producing Escherichia coli surveillance through whole genome sequencing in food safety practices
title_full_unstemmed Transforming Shiga toxin-producing Escherichia coli surveillance through whole genome sequencing in food safety practices
title_short Transforming Shiga toxin-producing Escherichia coli surveillance through whole genome sequencing in food safety practices
title_sort transforming shiga toxin-producing escherichia coli surveillance through whole genome sequencing in food safety practices
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381951/
https://www.ncbi.nlm.nih.gov/pubmed/37520372
http://dx.doi.org/10.3389/fmicb.2023.1204630
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