Rapid Identification of Pseudomonas aeruginosa International High-Risk Clones Based on High-Resolution Melting Analysis

Dufková, Kristýna; Bezdíček, Matěj; Nykrýnová, Markéta; Kocmanová, Iva; Kubáčková, Petra; Hanslikova, Jana; Fejkova, Karolina; Mayer, Jiřı́; Lengerová, Martina

doi:10.1128/spectrum.03571-22

Cited by 2 publications

(1 citation statement)

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“…This scheme has been used to analyze several bacteria including P. aeruginosa , K. pneumoniae , S. aureus , E. faecium , E. coli , etc. [ 25 , 31 , 32 ]. The mini-MLST scheme for N. gonorrhoeae requires further development as it has not been tested on a global population or large sample.…”

Section: Discussionmentioning

confidence: 99%

Mini-Multilocus Sequence Typing Scheme for the Global Population of Neisseria gonorrhoeae

Kandinov,

Shaskolskiy,

Kravtsov

et al. 2024

IJMS

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The increasing problem of antimicrobial resistance in N. gonorrhoeae necessitates the development of molecular typing schemes that are suitable for rapid and mass screening. The objective of this study was to design and validate a mini-MLST scheme for N. gonorrhoeae based on global pathogen population data. Using sequences of seven housekeeping genes of 21,402 isolates with known MLSTs from the PubMLST database, we identified eighteen informative polymorphisms and obtained mini-MLST nucleotide profiles to predict MLSTs of isolates. We proposed a new MLST grouping system for N. gonorrhoeae based on mini-MLST profiles. Phylogenetic analysis revealed that MLST genogroups are a stable characteristic of the N. gonorrhoeae global population. The proposed grouping system has been shown to bring together isolates with similar antimicrobial susceptibility, as demonstrated by the characteristics of major genogroups. Established MLST prediction algorithms based on nucleotide profiles are now publicly available. The mini-MLST scheme was evaluated using a MLST detection/prediction method based on the original hydrogel DNA microarray. The results confirmed a high predictive ability up to the MLST genogroup. The proposed holistic approach to gonococcal population analysis can be used for the continuous surveillance of known and emerging resistant N. gonorrhoeae isolates.

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Section: Discussionmentioning

confidence: 99%