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Community outbreaks of group A Streptococcus revealed by genome sequencing
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561225/ https://www.ncbi.nlm.nih.gov/pubmed/28819111 http://dx.doi.org/10.1038/s41598-017-08914-x |
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author | Turner, Claire E. Bedford, Luke Brown, Nicholas M. Judge, Kim Török, M. Estée Parkhill, Julian Peacock, Sharon J. |
author_facet | Turner, Claire E. Bedford, Luke Brown, Nicholas M. Judge, Kim Török, M. Estée Parkhill, Julian Peacock, Sharon J. |
author_sort | Turner, Claire E. |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-5561225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55612252017-08-21 Community outbreaks of group A Streptococcus revealed by genome sequencing Turner, Claire E. Bedford, Luke Brown, Nicholas M. Judge, Kim Török, M. Estée Parkhill, Julian Peacock, Sharon J. Sci Rep Article 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. Nature Publishing Group UK 2017-08-17 /pmc/articles/PMC5561225/ /pubmed/28819111 http://dx.doi.org/10.1038/s41598-017-08914-x Text en © The Author(s) 2017 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/. |
spellingShingle | Article Turner, Claire E. Bedford, Luke Brown, Nicholas M. Judge, Kim Török, M. Estée Parkhill, Julian Peacock, Sharon J. Community outbreaks of group A Streptococcus revealed by genome sequencing |
title | 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_short | Community outbreaks of group A Streptococcus revealed by genome sequencing |
title_sort | community outbreaks of group a streptococcus revealed by genome sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561225/ https://www.ncbi.nlm.nih.gov/pubmed/28819111 http://dx.doi.org/10.1038/s41598-017-08914-x |
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