1. Neisseria gonorrhoeae clustering to reveal major European whole-genome-sequencing-based genogroups in association with antimicrobial resistance
- Author
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Vítor Borges, Miguel Pinto, João Paulo Gomes, Maria José Borrego, Joana Isidro, Luís Vieira, João Carlos Rodrigues, Centre for Toxicogenomics and Human Health (ToxOmics), and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
- Subjects
0301 basic medicine ,Sexually transmitted disease ,Epidemiology ,030106 microbiology ,Microbial evolution and epidemiology: Population Genomics ,Context (language use) ,Computational biology ,Biology ,medicine.disease_cause ,molecular epidemiology ,Microbiology ,03 medical and health sciences ,Antibiotic resistance ,SDG 3 - Good Health and Well-being ,medicine ,Genetics ,Infecções Sexualmente Transmissíveis ,Typing ,antimicrobial resistance ,Molecular Biology ,Whole genome sequencing ,Molecular epidemiology ,General Medicine ,Neisseria gonorrhoeae ,Europe ,030104 developmental biology ,whole-genome sequencing ,Multilocus sequence typing ,Research Article - Abstract
Neisseria gonorrhoeae, the bacterium responsible for the sexually transmitted disease gonorrhoea, has shown an extraordinary ability to develop antimicrobial resistance (AMR) to multiple classes of antimicrobials. With no available vaccine, managingN. gonorrhoeaeinfections demands effective preventive measures, antibiotic treatment and epidemiological surveillance. The latter two are progressively being supported by the generation of whole-genome sequencing (WGS) data on behalf of national and international surveillance programmes. In this context, this study aims to performN. gonorrhoeaeclustering into genogroups based on WGS data, for enhanced prospective laboratory surveillance. Particularly, it aims to identify the major circulating WGS-genogroups in Europe and to establish a relationship between these and AMR. Ultimately, it enriches public databases by contributing with WGS data from Portuguese isolates spanning 15 years of surveillance. A total of 3791 carefully inspectedN. gonorrhoeaegenomes from isolates collected across Europe were analysed using a gene-by-gene approach (i.e. using cgMLST). Analysis of cluster composition and stability allowed the classification of isolates into a two-step hierarchical genogroup level determined by two allelic distance thresholds revealing cluster stability. Genogroup clustering in general agreed with availableN. gonorrhoeaetyping methods [i.e. MLST (multilocus sequence typing), NG-MAST (N. gonorrhoeaemulti-antigen sequence typing) and PubMLST core-genome groups], highlighting the predominant genogroups circulating in Europe, and revealed that the vast majority of the genogroups present a dominant AMR profile. Additionally, a non-static gene-by-gene approach combined with a more discriminatory threshold for potential epidemiological linkage enabled us to match data with previous reports on outbreaks or transmission chains. In conclusion, this genogroup assignment allows a comprehensive analysis ofN. gonorrhoeaegenetic diversity and the identification of the WGS-based genogroups circulating in Europe, while facilitating the assessment (and continuous monitoring) of their frequency, geographical dispersion and potential association with specific AMR signatures. This strategy may benefit public-health actions through the prioritization of genogroups to be controlled, the identification of emerging resistance carriage, and the potential facilitation of data sharing and communication.
- Published
- 2021