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Neisseria gonorrhoeae Population Genomics: Use of the Gonococcal Core Genome to Improve Surveillance of Antimicrobial Resistance.
Harrison, Odile B; Cehovin, Ana; Skett, Jessica; Jolley, Keith A; Massari, Paola; Genco, Caroline Attardo; Tang, Christoph M; Maiden, Martin C J.
Afiliación
  • Harrison OB; Department of Zoology, The Peter Medawar Building for Pathogen Research, South Parks Road, University of Oxford, Oxford, United Kingdom.
  • Cehovin A; The Sir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford, United Kingdom.
  • Skett J; Department of Zoology, The Peter Medawar Building for Pathogen Research, South Parks Road, University of Oxford, Oxford, United Kingdom.
  • Jolley KA; Department of Zoology, The Peter Medawar Building for Pathogen Research, South Parks Road, University of Oxford, Oxford, United Kingdom.
  • Massari P; Department of Immunology, Tufts University School of Medicine, Boston, Massachusetts, USA.
  • Genco CA; Department of Immunology, Tufts University School of Medicine, Boston, Massachusetts, USA.
  • Tang CM; The Sir William Dunn School of Pathology, University of Oxford, South Parks Road, Oxford, United Kingdom.
  • Maiden MCJ; Department of Zoology, The Peter Medawar Building for Pathogen Research, South Parks Road, University of Oxford, Oxford, United Kingdom.
J Infect Dis ; 222(11): 1816-1825, 2020 11 09.
Article en En | MEDLINE | ID: mdl-32163580
ABSTRACT

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.

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.

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.

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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Gonorrea / Genoma Bacteriano / Farmacorresistencia Bacteriana / Metagenómica / Neisseria gonorrhoeae Tipo de estudio: Prognostic_studies / Screening_studies Límite: Humans Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Gonorrea / Genoma Bacteriano / Farmacorresistencia Bacteriana / Metagenómica / Neisseria gonorrhoeae Tipo de estudio: Prognostic_studies / Screening_studies Límite: Humans Idioma: En Año: 2020 Tipo del documento: Article