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Genomic epidemiology and population structure of Neisseria gonorrhoeae from remote highly endemic Western Australian populations

BACKGROUND: Neisseria gonorrhoeae causes gonorrhoea, the second most commonly notified sexually transmitted infection in Australia. One of the highest notification rates of gonorrhoea is found in the remote regions of Western Australia (WA). Unlike isolates from the major Australian population centr...

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Autores principales: Al Suwayyid, Barakat A., Coombs, Geoffrey W., Speers, David J., Pearson, Julie, Wise, Michael J., Kahler, Charlene M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6889462/
https://www.ncbi.nlm.nih.gov/pubmed/29482499
http://dx.doi.org/10.1186/s12864-018-4557-5
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author Al Suwayyid, Barakat A.
Coombs, Geoffrey W.
Speers, David J.
Pearson, Julie
Wise, Michael J.
Kahler, Charlene M.
author_facet Al Suwayyid, Barakat A.
Coombs, Geoffrey W.
Speers, David J.
Pearson, Julie
Wise, Michael J.
Kahler, Charlene M.
author_sort Al Suwayyid, Barakat A.
collection PubMed
description BACKGROUND: Neisseria gonorrhoeae causes gonorrhoea, the second most commonly notified sexually transmitted infection in Australia. One of the highest notification rates of gonorrhoea is found in the remote regions of Western Australia (WA). Unlike isolates from the major Australian population centres, the remote community isolates have low rates of antimicrobial resistance (AMR). Population structure and whole-genome comparison of 59 isolates from the Western Australian N. gonorrhoeae collection were used to investigate relatedness of isolates cultured in the metropolitan and remote areas. Core genome phylogeny, multilocus sequencing typing (MLST), N. gonorrhoeae multi-antigen sequence typing (NG-MAST) and N. gonorrhoeae sequence typing for antimicrobial resistance (NG-STAR) in addition to hierarchical clustering of sequences were used to characterize the isolates. RESULTS: Population structure analysis of the 59 isolates together with 72 isolates from an international collection, revealed six population groups suggesting that N. gonorrhoeae is a weakly clonal species. Two distinct population groups, Aus1 and Aus2, represented 63% of WA isolates and were mostly composed of the remote community isolates that carried no chromosomal AMR genotypes. In contrast, the Western Australian metropolitan isolates were frequently multi-drug resistant and belonged to population groups found in the international database, suggesting international transmission of the isolates. CONCLUSIONS: Our study suggests that the population structure of N. gonorrhoeae is distinct between the communities in remote and metropolitan WA. Given the high rate of AMR in metropolitan regions, ongoing surveillance is essential to ensure the enduring efficacy of the empiric gonorrhoea treatment in remote WA. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4557-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-68894622019-12-11 Genomic epidemiology and population structure of Neisseria gonorrhoeae from remote highly endemic Western Australian populations Al Suwayyid, Barakat A. Coombs, Geoffrey W. Speers, David J. Pearson, Julie Wise, Michael J. Kahler, Charlene M. BMC Genomics Research Article BACKGROUND: Neisseria gonorrhoeae causes gonorrhoea, the second most commonly notified sexually transmitted infection in Australia. One of the highest notification rates of gonorrhoea is found in the remote regions of Western Australia (WA). Unlike isolates from the major Australian population centres, the remote community isolates have low rates of antimicrobial resistance (AMR). Population structure and whole-genome comparison of 59 isolates from the Western Australian N. gonorrhoeae collection were used to investigate relatedness of isolates cultured in the metropolitan and remote areas. Core genome phylogeny, multilocus sequencing typing (MLST), N. gonorrhoeae multi-antigen sequence typing (NG-MAST) and N. gonorrhoeae sequence typing for antimicrobial resistance (NG-STAR) in addition to hierarchical clustering of sequences were used to characterize the isolates. RESULTS: Population structure analysis of the 59 isolates together with 72 isolates from an international collection, revealed six population groups suggesting that N. gonorrhoeae is a weakly clonal species. Two distinct population groups, Aus1 and Aus2, represented 63% of WA isolates and were mostly composed of the remote community isolates that carried no chromosomal AMR genotypes. In contrast, the Western Australian metropolitan isolates were frequently multi-drug resistant and belonged to population groups found in the international database, suggesting international transmission of the isolates. CONCLUSIONS: Our study suggests that the population structure of N. gonorrhoeae is distinct between the communities in remote and metropolitan WA. Given the high rate of AMR in metropolitan regions, ongoing surveillance is essential to ensure the enduring efficacy of the empiric gonorrhoea treatment in remote WA. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4557-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-27 /pmc/articles/PMC6889462/ /pubmed/29482499 http://dx.doi.org/10.1186/s12864-018-4557-5 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Al Suwayyid, Barakat A.
Coombs, Geoffrey W.
Speers, David J.
Pearson, Julie
Wise, Michael J.
Kahler, Charlene M.
Genomic epidemiology and population structure of Neisseria gonorrhoeae from remote highly endemic Western Australian populations
title Genomic epidemiology and population structure of Neisseria gonorrhoeae from remote highly endemic Western Australian populations
title_full Genomic epidemiology and population structure of Neisseria gonorrhoeae from remote highly endemic Western Australian populations
title_fullStr Genomic epidemiology and population structure of Neisseria gonorrhoeae from remote highly endemic Western Australian populations
title_full_unstemmed Genomic epidemiology and population structure of Neisseria gonorrhoeae from remote highly endemic Western Australian populations
title_short Genomic epidemiology and population structure of Neisseria gonorrhoeae from remote highly endemic Western Australian populations
title_sort genomic epidemiology and population structure of neisseria gonorrhoeae from remote highly endemic western australian populations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6889462/
https://www.ncbi.nlm.nih.gov/pubmed/29482499
http://dx.doi.org/10.1186/s12864-018-4557-5
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