Neisseria gonorrhoeae population genomics: use of the gonococcal core genome to improve surveillance of antimicrobial resistance

Background Gonorrhea, caused by the bacterium Neisseria gonorrhoeae, is a globally prevalent sexually transmitted infection. The dynamics of gonococcal population biology have been poorly defined due to a lack of resolution in strain typing methods. <br><br> Methods In this study, we ass...

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Главные авторы: Harrison, O, Cehovin, A, Skett, J, Jolley, K, Massari, P, Genco, C, Tang, C, Maiden, M
Формат: Journal article
Язык:English
Опубликовано: Oxford University Press 2020
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author Harrison, O
Cehovin, A
Skett, J
Jolley, K
Massari, P
Genco, C
Tang, C
Maiden, M
author_facet Harrison, O
Cehovin, A
Skett, J
Jolley, K
Massari, P
Genco, C
Tang, C
Maiden, M
author_sort Harrison, O
collection OXFORD
description Background Gonorrhea, caused by the bacterium Neisseria gonorrhoeae, is a globally prevalent sexually transmitted infection. The dynamics of gonococcal population biology have been poorly defined due to a lack of resolution in strain typing methods. <br><br> Methods In this study, we assess how the core genome can be used to improve our understanding of gonococcal population structure compared with current typing schemes. <br><br> Results A total of 1668 loci were identified as core to the gonococcal genome. These were organized into a core genome multilocus sequence typing scheme (N gonorrhoeae cgMLST v1.0). A clustering algorithm using a threshold of 400 allelic differences between isolates resolved gonococci into discrete and stable core genome groups, some of which persisted for multiple decades. These groups were associated with antimicrobial genotypes and non-overlapping NG-STAR and NG-MAST sequence types. The MLST-STs were more widely distributed among core genome groups. <br><br> Conclusions Clustering with cgMLST identified globally distributed, persistent, gonococcal lineages improving understanding of the population biology of gonococci and revealing its population structure. These findings have implications for the emergence of antimicrobial resistance in gonococci and how this is associated with lineages, some of which are more predisposed to developing antimicrobial resistance than others.
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spelling oxford-uuid:7254ac2e-143b-4c36-a1fc-bb623f39db2c2022-03-26T19:49:26ZNeisseria gonorrhoeae population genomics: use of the gonococcal core genome to improve surveillance of antimicrobial resistanceJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7254ac2e-143b-4c36-a1fc-bb623f39db2cEnglishSymplectic ElementsOxford University Press2020Harrison, OCehovin, ASkett, JJolley, KMassari, PGenco, CTang, CMaiden, M Background Gonorrhea, caused by the bacterium Neisseria gonorrhoeae, is a globally prevalent sexually transmitted infection. The dynamics of gonococcal population biology have been poorly defined due to a lack of resolution in strain typing methods. <br><br> Methods In this study, we assess how the core genome can be used to improve our understanding of gonococcal population structure compared with current typing schemes. <br><br> Results A total of 1668 loci were identified as core to the gonococcal genome. These were organized into a core genome multilocus sequence typing scheme (N gonorrhoeae cgMLST v1.0). A clustering algorithm using a threshold of 400 allelic differences between isolates resolved gonococci into discrete and stable core genome groups, some of which persisted for multiple decades. These groups were associated with antimicrobial genotypes and non-overlapping NG-STAR and NG-MAST sequence types. The MLST-STs were more widely distributed among core genome groups. <br><br> Conclusions Clustering with cgMLST identified globally distributed, persistent, gonococcal lineages improving understanding of the population biology of gonococci and revealing its population structure. These findings have implications for the emergence of antimicrobial resistance in gonococci and how this is associated with lineages, some of which are more predisposed to developing antimicrobial resistance than others.
spellingShingle Harrison, O
Cehovin, A
Skett, J
Jolley, K
Massari, P
Genco, C
Tang, C
Maiden, M
Neisseria gonorrhoeae population genomics: use of the gonococcal core genome to improve surveillance of antimicrobial resistance
title Neisseria gonorrhoeae population genomics: use of the gonococcal core genome to improve surveillance of antimicrobial resistance
title_full Neisseria gonorrhoeae population genomics: use of the gonococcal core genome to improve surveillance of antimicrobial resistance
title_fullStr Neisseria gonorrhoeae population genomics: use of the gonococcal core genome to improve surveillance of antimicrobial resistance
title_full_unstemmed Neisseria gonorrhoeae population genomics: use of the gonococcal core genome to improve surveillance of antimicrobial resistance
title_short Neisseria gonorrhoeae population genomics: use of the gonococcal core genome to improve surveillance of antimicrobial resistance
title_sort neisseria gonorrhoeae population genomics use of the gonococcal core genome to improve surveillance of antimicrobial resistance
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