Article ID Journal Published Year Pages File Type
5668649 Journal of Infection 2016 10 Pages PDF
Abstract

•Gene-by-gene annotation of WGS combined with whole genome MLST (wgMLST) analyses.•Provision of an online catalogue of gonococcal antimicrobial resistance (AMR) genes.•Gene-by-gene analysis found an association of AMR with a T4SS known to enhance HGT.•The T4SS may facilitate the spread of AMR but may also confer fitness advantages.

SummaryObjectivesAntimicrobial resistance (AMR) threatens our ability to treat the sexually transmitted bacterial infection gonorrhoea. The increasing availability of whole genome sequence (WGS) data from Neisseria gonorrhoeae isolates, however, provides us with an opportunity in which WGS can be mined for AMR determinants.MethodsChromosomal and plasmid genes implicated in AMR were catalogued on the PubMLST Neisseria database (http://pubmlst.org/neisseria). AMR genotypes were identified in WGS from 289 gonococci for which MICs against several antimicrobial compounds had been determined. Whole genome comparisons were undertaken using whole genome MLST (wgMLST).ResultsClusters of isolates with distinct AMR genotypes were apparent following wgMLST analysis consistent with the occurrence of genome wide genetic variation. This included the presence of the gonococcal genetic island (GGI), a type 4 secretion system shown to increase recombination and for which possession was significantly associated with AMR to multiple antimicrobials.ConclusionsEvolution of the gonococcal genome occurs in response to antimicrobial selective pressure resulting in the formation of distinct N. gonorrhoeae populations evidenced by the wgMLST clusters seen here. Genomic islands offer selective advantages to host bacteria and possession of the GGI may, not only facilitate the spread of AMR in gonococcal populations, but may also confer fitness advantages.

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Life Sciences Immunology and Microbiology Applied Microbiology and Biotechnology
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