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Population structure analysis and laboratory monitoring of Shigella by core-genome multilocus sequence typing
The laboratory surveillance of bacillary dysentery is based on a standardised Shigella typing scheme that classifies Shigella strains into four serogroups and more than 50 serotypes on the basis of biochemical tests and lipopolysaccharide O-antigen serotyping. Real-time genomic surveillance of Shige...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795385/ https://www.ncbi.nlm.nih.gov/pubmed/35087053 http://dx.doi.org/10.1038/s41467-022-28121-1 |
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author | Yassine, Iman Lefèvre, Sophie Hansen, Elisabeth E. Ruckly, Corinne Carle, Isabelle Lejay-Collin, Monique Fabre, Laëtitia Rafei, Rayane Clermont, Dominique de la Gandara, Maria Pardos Dabboussi, Fouad Thomson, Nicholas R. Weill, François-Xavier |
author_facet | Yassine, Iman Lefèvre, Sophie Hansen, Elisabeth E. Ruckly, Corinne Carle, Isabelle Lejay-Collin, Monique Fabre, Laëtitia Rafei, Rayane Clermont, Dominique de la Gandara, Maria Pardos Dabboussi, Fouad Thomson, Nicholas R. Weill, François-Xavier |
author_sort | Yassine, Iman |
collection | PubMed |
description | The laboratory surveillance of bacillary dysentery is based on a standardised Shigella typing scheme that classifies Shigella strains into four serogroups and more than 50 serotypes on the basis of biochemical tests and lipopolysaccharide O-antigen serotyping. Real-time genomic surveillance of Shigella infections has been implemented in several countries, but without the use of a standardised typing scheme. Here, we study over 4000 reference strains and clinical isolates of Shigella, covering all serotypes, with both the current serotyping scheme and the standardised EnteroBase core-genome multilocus sequence typing scheme (cgMLST). The Shigella genomes are grouped into eight phylogenetically distinct clusters, within the E. coli species. The cgMLST hierarchical clustering (HC) analysis at different levels of resolution (HC2000 to HC400) recognises the natural population structure of Shigella. By contrast, the serotyping scheme is affected by horizontal gene transfer, leading to a conflation of genetically unrelated Shigella strains and a separation of genetically related strains. The use of this cgMLST scheme will facilitate the transition from traditional phenotypic typing to routine whole-genome sequencing for the laboratory surveillance of Shigella infections. |
format | Online Article Text |
id | pubmed-8795385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87953852022-02-07 Population structure analysis and laboratory monitoring of Shigella by core-genome multilocus sequence typing Yassine, Iman Lefèvre, Sophie Hansen, Elisabeth E. Ruckly, Corinne Carle, Isabelle Lejay-Collin, Monique Fabre, Laëtitia Rafei, Rayane Clermont, Dominique de la Gandara, Maria Pardos Dabboussi, Fouad Thomson, Nicholas R. Weill, François-Xavier Nat Commun Article The laboratory surveillance of bacillary dysentery is based on a standardised Shigella typing scheme that classifies Shigella strains into four serogroups and more than 50 serotypes on the basis of biochemical tests and lipopolysaccharide O-antigen serotyping. Real-time genomic surveillance of Shigella infections has been implemented in several countries, but without the use of a standardised typing scheme. Here, we study over 4000 reference strains and clinical isolates of Shigella, covering all serotypes, with both the current serotyping scheme and the standardised EnteroBase core-genome multilocus sequence typing scheme (cgMLST). The Shigella genomes are grouped into eight phylogenetically distinct clusters, within the E. coli species. The cgMLST hierarchical clustering (HC) analysis at different levels of resolution (HC2000 to HC400) recognises the natural population structure of Shigella. By contrast, the serotyping scheme is affected by horizontal gene transfer, leading to a conflation of genetically unrelated Shigella strains and a separation of genetically related strains. The use of this cgMLST scheme will facilitate the transition from traditional phenotypic typing to routine whole-genome sequencing for the laboratory surveillance of Shigella infections. Nature Publishing Group UK 2022-01-27 /pmc/articles/PMC8795385/ /pubmed/35087053 http://dx.doi.org/10.1038/s41467-022-28121-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yassine, Iman Lefèvre, Sophie Hansen, Elisabeth E. Ruckly, Corinne Carle, Isabelle Lejay-Collin, Monique Fabre, Laëtitia Rafei, Rayane Clermont, Dominique de la Gandara, Maria Pardos Dabboussi, Fouad Thomson, Nicholas R. Weill, François-Xavier Population structure analysis and laboratory monitoring of Shigella by core-genome multilocus sequence typing |
title | Population structure analysis and laboratory monitoring of Shigella by core-genome multilocus sequence typing |
title_full | Population structure analysis and laboratory monitoring of Shigella by core-genome multilocus sequence typing |
title_fullStr | Population structure analysis and laboratory monitoring of Shigella by core-genome multilocus sequence typing |
title_full_unstemmed | Population structure analysis and laboratory monitoring of Shigella by core-genome multilocus sequence typing |
title_short | Population structure analysis and laboratory monitoring of Shigella by core-genome multilocus sequence typing |
title_sort | population structure analysis and laboratory monitoring of shigella by core-genome multilocus sequence typing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795385/ https://www.ncbi.nlm.nih.gov/pubmed/35087053 http://dx.doi.org/10.1038/s41467-022-28121-1 |
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