Salmonella nomenclature in the genomic era: a time for change

Abstract Salmonella enterica nomenclature has evolved over the past one hundred years into a highly sophisticated naming convention based on the recognition of antigens by specific antibodies. This serotyping scheme has led to the definition of over 2500 serovars which are well understood, have stan...

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Autores principales: Marie A. Chattaway, Gemma C. Langridge, John Wain
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/34526504bc47441b81eb93bb84969f37
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spelling oai:doaj.org-article:34526504bc47441b81eb93bb84969f372021-12-02T14:22:43ZSalmonella nomenclature in the genomic era: a time for change10.1038/s41598-021-86243-w2045-2322https://doaj.org/article/34526504bc47441b81eb93bb84969f372021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-86243-whttps://doaj.org/toc/2045-2322Abstract Salmonella enterica nomenclature has evolved over the past one hundred years into a highly sophisticated naming convention based on the recognition of antigens by specific antibodies. This serotyping scheme has led to the definition of over 2500 serovars which are well understood, have standing in nomenclature and, for the majority, biological relevance. Therefore, it is highly desirable for any change in naming convention to maintain backwards compatibility with the information linked to these serovars. The routine use of whole genome sequencing and the well-established link between sequence types and serovars presents an opportunity to update the scheme by incorporating the phylogenetically relevant sequence data whilst preserving the best of serotyping nomenclature. Advantages include: overcoming the variability in antibody preparations; removing the need to use laboratory animals and implementing a truly universal system. However, the issue of trying to reproduce the phenotyping gold standard needs to be relaxed if we are to fully embrace the genomic era. We have used whole genome sequence data from over 46,000 isolates of Salmonella enterica subspecies enterica to define clusters in two stages: Multi Locus Sequence Typing followed by antigen prediction. Sequence type—serotype discrepancies were resolved using core SNP clustering to determine the phylogenetic groups and this was confirmed by overlaying the antigenic prediction onto the core SNP clusters and testing the separation of clusters using cgMLST Hierarchical Clustering. This allowed us to define any major antigenic clusters within an ST—here called the MAC type and written as ST-serovar. Using this method, 99.96% of Salmonella isolates reported in the UK were assigned a MAC type and linked to a serovar name taken from the Kauffmann and White scheme. We propose a change for reporting of Salmonella enterica sub-types using the ST followed by serovar.Marie A. ChattawayGemma C. LangridgeJohn WainNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Marie A. Chattaway
Gemma C. Langridge
John Wain
Salmonella nomenclature in the genomic era: a time for change
description Abstract Salmonella enterica nomenclature has evolved over the past one hundred years into a highly sophisticated naming convention based on the recognition of antigens by specific antibodies. This serotyping scheme has led to the definition of over 2500 serovars which are well understood, have standing in nomenclature and, for the majority, biological relevance. Therefore, it is highly desirable for any change in naming convention to maintain backwards compatibility with the information linked to these serovars. The routine use of whole genome sequencing and the well-established link between sequence types and serovars presents an opportunity to update the scheme by incorporating the phylogenetically relevant sequence data whilst preserving the best of serotyping nomenclature. Advantages include: overcoming the variability in antibody preparations; removing the need to use laboratory animals and implementing a truly universal system. However, the issue of trying to reproduce the phenotyping gold standard needs to be relaxed if we are to fully embrace the genomic era. We have used whole genome sequence data from over 46,000 isolates of Salmonella enterica subspecies enterica to define clusters in two stages: Multi Locus Sequence Typing followed by antigen prediction. Sequence type—serotype discrepancies were resolved using core SNP clustering to determine the phylogenetic groups and this was confirmed by overlaying the antigenic prediction onto the core SNP clusters and testing the separation of clusters using cgMLST Hierarchical Clustering. This allowed us to define any major antigenic clusters within an ST—here called the MAC type and written as ST-serovar. Using this method, 99.96% of Salmonella isolates reported in the UK were assigned a MAC type and linked to a serovar name taken from the Kauffmann and White scheme. We propose a change for reporting of Salmonella enterica sub-types using the ST followed by serovar.
format article
author Marie A. Chattaway
Gemma C. Langridge
John Wain
author_facet Marie A. Chattaway
Gemma C. Langridge
John Wain
author_sort Marie A. Chattaway
title Salmonella nomenclature in the genomic era: a time for change
title_short Salmonella nomenclature in the genomic era: a time for change
title_full Salmonella nomenclature in the genomic era: a time for change
title_fullStr Salmonella nomenclature in the genomic era: a time for change
title_full_unstemmed Salmonella nomenclature in the genomic era: a time for change
title_sort salmonella nomenclature in the genomic era: a time for change
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/34526504bc47441b81eb93bb84969f37
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AT gemmaclangridge salmonellanomenclatureinthegenomiceraatimeforchange
AT johnwain salmonellanomenclatureinthegenomiceraatimeforchange
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