Community outbreaks of group A Streptococcus revealed by genome sequencing

Abstract The frequent occurrence of disease outbreaks in humans caused by group A Streptococcus (GAS) is an on-going public health threat. Conventional bacterial typing methods lack the discriminatory power to confidently confirm or refute outbreaks in hospital and community settings. Microbial whol...

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Autores principales:	Claire E. Turner, Luke Bedford, Nicholas M. Brown, Kim Judge, M. Estée Török, Julian Parkhill, Sharon J. Peacock
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e215d44826a34edf8c21709095e841c2
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spelling	oai:doaj.org-article:e215d44826a34edf8c21709095e841c22021-12-02T15:05:25ZCommunity outbreaks of group A Streptococcus revealed by genome sequencing10.1038/s41598-017-08914-x2045-2322https://doaj.org/article/e215d44826a34edf8c21709095e841c22017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08914-xhttps://doaj.org/toc/2045-2322Abstract The frequent occurrence of disease outbreaks in humans caused by group A Streptococcus (GAS) is an on-going public health threat. Conventional bacterial typing methods lack the discriminatory power to confidently confirm or refute outbreaks in hospital and community settings. Microbial whole genome sequencing (WGS) provides a potential solution to this, but, there has been limited population-based surveillance with accompanying sequence data. We performed retrospective genomic surveillance of 93 clinical GAS isolates from individuals in a defined geographic region. Detailed clinical information was obtained for closely related clusters of isolates. Genomic sequence data was contextualised through comparison with international data. We identified 18 different emm genotypes within our bacterial population, and revealed both highly diverse and closely related isolates. This high level of diversity was maintained even in the context of international sequence data. We also identified two emm1 clusters, and one emm3 cluster, of closely-related isolates that differed only by 1 to 4 single nucleotide polymorphisms. Analysis of clinical information identified no healthcare associated contact between patients, indicating cryptic community transmission. Our findings suggest that genomic surveillance of GAS would increase detection of transmission and highlight opportunities for intervention.Claire E. TurnerLuke BedfordNicholas M. BrownKim JudgeM. Estée TörökJulian ParkhillSharon J. PeacockNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Claire E. Turner Luke Bedford Nicholas M. Brown Kim Judge M. Estée Török Julian Parkhill Sharon J. Peacock Community outbreaks of group A Streptococcus revealed by genome sequencing
description	Abstract The frequent occurrence of disease outbreaks in humans caused by group A Streptococcus (GAS) is an on-going public health threat. Conventional bacterial typing methods lack the discriminatory power to confidently confirm or refute outbreaks in hospital and community settings. Microbial whole genome sequencing (WGS) provides a potential solution to this, but, there has been limited population-based surveillance with accompanying sequence data. We performed retrospective genomic surveillance of 93 clinical GAS isolates from individuals in a defined geographic region. Detailed clinical information was obtained for closely related clusters of isolates. Genomic sequence data was contextualised through comparison with international data. We identified 18 different emm genotypes within our bacterial population, and revealed both highly diverse and closely related isolates. This high level of diversity was maintained even in the context of international sequence data. We also identified two emm1 clusters, and one emm3 cluster, of closely-related isolates that differed only by 1 to 4 single nucleotide polymorphisms. Analysis of clinical information identified no healthcare associated contact between patients, indicating cryptic community transmission. Our findings suggest that genomic surveillance of GAS would increase detection of transmission and highlight opportunities for intervention.
format	article
author	Claire E. Turner Luke Bedford Nicholas M. Brown Kim Judge M. Estée Török Julian Parkhill Sharon J. Peacock
author_facet	Claire E. Turner Luke Bedford Nicholas M. Brown Kim Judge M. Estée Török Julian Parkhill Sharon J. Peacock
author_sort	Claire E. Turner
title	Community outbreaks of group A Streptococcus revealed by genome sequencing
title_short	Community outbreaks of group A Streptococcus revealed by genome sequencing
title_full	Community outbreaks of group A Streptococcus revealed by genome sequencing
title_fullStr	Community outbreaks of group A Streptococcus revealed by genome sequencing
title_full_unstemmed	Community outbreaks of group A Streptococcus revealed by genome sequencing
title_sort	community outbreaks of group a streptococcus revealed by genome sequencing
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/e215d44826a34edf8c21709095e841c2
work_keys_str_mv	AT claireeturner communityoutbreaksofgroupastreptococcusrevealedbygenomesequencing AT lukebedford communityoutbreaksofgroupastreptococcusrevealedbygenomesequencing AT nicholasmbrown communityoutbreaksofgroupastreptococcusrevealedbygenomesequencing AT kimjudge communityoutbreaksofgroupastreptococcusrevealedbygenomesequencing AT mesteetorok communityoutbreaksofgroupastreptococcusrevealedbygenomesequencing AT julianparkhill communityoutbreaksofgroupastreptococcusrevealedbygenomesequencing AT sharonjpeacock communityoutbreaksofgroupastreptococcusrevealedbygenomesequencing
_version_	1718388862271619072

Community outbreaks of group A Streptococcus revealed by genome sequencing

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