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Evaluating sub-typing methods for pathogenic Yersinia enterocolitica to support outbreak investigations in New Zealand
Incidence of human yersiniosis in New Zealand has increased between 2013 and 2017. For surveillance and outbreak investigations it is essential that an appropriate level of discrimination between pathogenic Yersinia enterocolitica isolates is provided, in order to support epidemiological linking of...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518587/ https://www.ncbi.nlm.nih.gov/pubmed/31364520 http://dx.doi.org/10.1017/S0950268819000773 |
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author | Strydom, H. Wang, J. Paine, S. Dyet, K. Cullen, K. Wright, J. |
author_facet | Strydom, H. Wang, J. Paine, S. Dyet, K. Cullen, K. Wright, J. |
author_sort | Strydom, H. |
collection | PubMed |
description | Incidence of human yersiniosis in New Zealand has increased between 2013 and 2017. For surveillance and outbreak investigations it is essential that an appropriate level of discrimination between pathogenic Yersinia enterocolitica isolates is provided, in order to support epidemiological linking of connected cases. Subtyping of 227 Y. enterocolitica isolates was performed using a range of different typing methods, including biotyping, serotyping and seven loci multiple-locus variable-number tandem-repeat analysis (MLVA). In addition, core genome single-nucleotide polymorphism (core SNP) analysis and multi-locus sequence typing were performed on a subset of 69 isolates. Sixty-seven different MLVA types were identified. One MLVA profile was associated with an outbreak in the Bay of Plenty region, supported by epidemiological data. Core SNP analysis showed that all the outbreak-related isolates clustered together. The subtyping and epidemiological evidence suggests that the outbreak of yersiniosis in the Bay of Plenty region between October and December 2016 could be attributed to a point source. However, subtyping results further suggest that the same clone was isolated from several regions between August 2016 and March 2017. Core SNP analysis and MLVA typing failed to differentiate between Y. enterocolitica biotype 2 and biotype 3. For this reason, we propose that these biotypes should be reported as a single type namely: Y. enterocolitica biotype 2/3 and that the serotype should be prioritised as an indicator of prevalence. |
format | Online Article Text |
id | pubmed-6518587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-65185872019-06-04 Evaluating sub-typing methods for pathogenic Yersinia enterocolitica to support outbreak investigations in New Zealand Strydom, H. Wang, J. Paine, S. Dyet, K. Cullen, K. Wright, J. Epidemiol Infect Original Paper Incidence of human yersiniosis in New Zealand has increased between 2013 and 2017. For surveillance and outbreak investigations it is essential that an appropriate level of discrimination between pathogenic Yersinia enterocolitica isolates is provided, in order to support epidemiological linking of connected cases. Subtyping of 227 Y. enterocolitica isolates was performed using a range of different typing methods, including biotyping, serotyping and seven loci multiple-locus variable-number tandem-repeat analysis (MLVA). In addition, core genome single-nucleotide polymorphism (core SNP) analysis and multi-locus sequence typing were performed on a subset of 69 isolates. Sixty-seven different MLVA types were identified. One MLVA profile was associated with an outbreak in the Bay of Plenty region, supported by epidemiological data. Core SNP analysis showed that all the outbreak-related isolates clustered together. The subtyping and epidemiological evidence suggests that the outbreak of yersiniosis in the Bay of Plenty region between October and December 2016 could be attributed to a point source. However, subtyping results further suggest that the same clone was isolated from several regions between August 2016 and March 2017. Core SNP analysis and MLVA typing failed to differentiate between Y. enterocolitica biotype 2 and biotype 3. For this reason, we propose that these biotypes should be reported as a single type namely: Y. enterocolitica biotype 2/3 and that the serotype should be prioritised as an indicator of prevalence. Cambridge University Press 2019-04-30 /pmc/articles/PMC6518587/ /pubmed/31364520 http://dx.doi.org/10.1017/S0950268819000773 Text en © Institute of Environmental Science and Research Ltd 2019 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Paper Strydom, H. Wang, J. Paine, S. Dyet, K. Cullen, K. Wright, J. Evaluating sub-typing methods for pathogenic Yersinia enterocolitica to support outbreak investigations in New Zealand |
title | Evaluating sub-typing methods for pathogenic Yersinia enterocolitica to support outbreak investigations in New Zealand |
title_full | Evaluating sub-typing methods for pathogenic Yersinia enterocolitica to support outbreak investigations in New Zealand |
title_fullStr | Evaluating sub-typing methods for pathogenic Yersinia enterocolitica to support outbreak investigations in New Zealand |
title_full_unstemmed | Evaluating sub-typing methods for pathogenic Yersinia enterocolitica to support outbreak investigations in New Zealand |
title_short | Evaluating sub-typing methods for pathogenic Yersinia enterocolitica to support outbreak investigations in New Zealand |
title_sort | evaluating sub-typing methods for pathogenic yersinia enterocolitica to support outbreak investigations in new zealand |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518587/ https://www.ncbi.nlm.nih.gov/pubmed/31364520 http://dx.doi.org/10.1017/S0950268819000773 |
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