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Application of a strain-level shotgun metagenomics approach on food samples: resolution of the source of a Salmonella food-borne outbreak
Food-borne outbreak investigation currently relies on the time-consuming and challenging bacterial isolation from food, to be able to link food-derived strains to more easily obtained isolates from infected people. When no food isolate can be obtained, the source of the outbreak cannot be unambiguou...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Microbiology Society
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208685/ https://www.ncbi.nlm.nih.gov/pubmed/33826490 http://dx.doi.org/10.1099/mgen.0.000547 |
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author | Buytaers, Florence E. Saltykova, Assia Mattheus, Wesley Verhaegen, Bavo Roosens, Nancy H. C. Vanneste, Kevin Laisnez, Valeska Hammami, Naïma Pochet, Brigitte Cantaert, Vera Marchal, Kathleen Denayer, Sarah De Keersmaecker, Sigrid C.J. |
author_facet | Buytaers, Florence E. Saltykova, Assia Mattheus, Wesley Verhaegen, Bavo Roosens, Nancy H. C. Vanneste, Kevin Laisnez, Valeska Hammami, Naïma Pochet, Brigitte Cantaert, Vera Marchal, Kathleen Denayer, Sarah De Keersmaecker, Sigrid C.J. |
author_sort | Buytaers, Florence E. |
collection | PubMed |
description | Food-borne outbreak investigation currently relies on the time-consuming and challenging bacterial isolation from food, to be able to link food-derived strains to more easily obtained isolates from infected people. When no food isolate can be obtained, the source of the outbreak cannot be unambiguously determined. Shotgun metagenomics approaches applied to the food samples could circumvent this need for isolation from the suspected source, but require downstream strain-level data analysis to be able to accurately link to the human isolate. Until now, this approach has not yet been applied outside research settings to analyse real food-borne outbreak samples. In September 2019, a Salmonella outbreak occurred in a hotel school in Bruges, Belgium, affecting over 200 students and teachers. Following standard procedures, the Belgian National Reference Center for human salmonellosis and the National Reference Laboratory for Salmonella in food and feed used conventional analysis based on isolation, serotyping and MLVA (multilocus variable number tandem repeat analysis) comparison, followed by whole-genome sequencing, to confirm the source of the contamination over 2 weeks after receipt of the sample, which was freshly prepared tartar sauce in a meal cooked at the school. Our team used this outbreak as a case study to deliver a proof of concept for a short-read strain-level shotgun metagenomics approach for source tracking. We received two suspect food samples: the full meal and some freshly made tartar sauce served with this meal, requiring the use of raw eggs. After analysis, we could prove, without isolation, that Salmonella was present in both samples, and we obtained an inferred genome of a Salmonella enterica subsp. enterica serovar Enteritidis that could be linked back to the human isolates of the outbreak in a phylogenetic tree. These metagenomics-derived outbreak strains were separated from sporadic cases as well as from another outbreak circulating in Europe at the same time period. This is, to our knowledge, the first Salmonella food-borne outbreak investigation uniquely linking the food source using a metagenomics approach and this in a fast time frame. |
format | Online Article Text |
id | pubmed-8208685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Microbiology Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-82086852021-06-17 Application of a strain-level shotgun metagenomics approach on food samples: resolution of the source of a Salmonella food-borne outbreak Buytaers, Florence E. Saltykova, Assia Mattheus, Wesley Verhaegen, Bavo Roosens, Nancy H. C. Vanneste, Kevin Laisnez, Valeska Hammami, Naïma Pochet, Brigitte Cantaert, Vera Marchal, Kathleen Denayer, Sarah De Keersmaecker, Sigrid C.J. Microb Genom Research Articles Food-borne outbreak investigation currently relies on the time-consuming and challenging bacterial isolation from food, to be able to link food-derived strains to more easily obtained isolates from infected people. When no food isolate can be obtained, the source of the outbreak cannot be unambiguously determined. Shotgun metagenomics approaches applied to the food samples could circumvent this need for isolation from the suspected source, but require downstream strain-level data analysis to be able to accurately link to the human isolate. Until now, this approach has not yet been applied outside research settings to analyse real food-borne outbreak samples. In September 2019, a Salmonella outbreak occurred in a hotel school in Bruges, Belgium, affecting over 200 students and teachers. Following standard procedures, the Belgian National Reference Center for human salmonellosis and the National Reference Laboratory for Salmonella in food and feed used conventional analysis based on isolation, serotyping and MLVA (multilocus variable number tandem repeat analysis) comparison, followed by whole-genome sequencing, to confirm the source of the contamination over 2 weeks after receipt of the sample, which was freshly prepared tartar sauce in a meal cooked at the school. Our team used this outbreak as a case study to deliver a proof of concept for a short-read strain-level shotgun metagenomics approach for source tracking. We received two suspect food samples: the full meal and some freshly made tartar sauce served with this meal, requiring the use of raw eggs. After analysis, we could prove, without isolation, that Salmonella was present in both samples, and we obtained an inferred genome of a Salmonella enterica subsp. enterica serovar Enteritidis that could be linked back to the human isolates of the outbreak in a phylogenetic tree. These metagenomics-derived outbreak strains were separated from sporadic cases as well as from another outbreak circulating in Europe at the same time period. This is, to our knowledge, the first Salmonella food-borne outbreak investigation uniquely linking the food source using a metagenomics approach and this in a fast time frame. Microbiology Society 2021-04-07 /pmc/articles/PMC8208685/ /pubmed/33826490 http://dx.doi.org/10.1099/mgen.0.000547 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial License. |
spellingShingle | Research Articles Buytaers, Florence E. Saltykova, Assia Mattheus, Wesley Verhaegen, Bavo Roosens, Nancy H. C. Vanneste, Kevin Laisnez, Valeska Hammami, Naïma Pochet, Brigitte Cantaert, Vera Marchal, Kathleen Denayer, Sarah De Keersmaecker, Sigrid C.J. Application of a strain-level shotgun metagenomics approach on food samples: resolution of the source of a Salmonella food-borne outbreak |
title | Application of a strain-level shotgun metagenomics approach on food samples: resolution of the source of a Salmonella food-borne outbreak |
title_full | Application of a strain-level shotgun metagenomics approach on food samples: resolution of the source of a Salmonella food-borne outbreak |
title_fullStr | Application of a strain-level shotgun metagenomics approach on food samples: resolution of the source of a Salmonella food-borne outbreak |
title_full_unstemmed | Application of a strain-level shotgun metagenomics approach on food samples: resolution of the source of a Salmonella food-borne outbreak |
title_short | Application of a strain-level shotgun metagenomics approach on food samples: resolution of the source of a Salmonella food-borne outbreak |
title_sort | application of a strain-level shotgun metagenomics approach on food samples: resolution of the source of a salmonella food-borne outbreak |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208685/ https://www.ncbi.nlm.nih.gov/pubmed/33826490 http://dx.doi.org/10.1099/mgen.0.000547 |
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