A newly developed MLVA seven-loci scheme for Streptococcus pyogenes is described. The method can be successfully applied by using both agarose gel with visual inspections of bands and Lab on Chip technology. The potential of the present MLVA has been tested on a collection of 100 clinical GAS strains representing the most common emm types found in high-income countries plus 18 published gap-free genomes, in comparison to PFGE and MLST. The MLVA analysis defined 30 MLVA typeswith ten out of the considered 15 emm types exhibiting multiple and specific MLVA types. In only one occasion the same MLVA profilewas shared between isolates belonging to two different emmtypes. A robust congruency between themethods was observed,with MLVA discriminating within clonal complexes as defined by PFGE orMLST. This newMLVA scheme can be adopted as a quick, low-cost and reliable typing method to track the short-term diffusion of GAS clones in inter-laboratory-based surveillance.

A new genotyping scheme based on MLVA for inter-laboratory surveillance of Streptococcus pyogenes

Gherardi G;
2016-01-01

Abstract

A newly developed MLVA seven-loci scheme for Streptococcus pyogenes is described. The method can be successfully applied by using both agarose gel with visual inspections of bands and Lab on Chip technology. The potential of the present MLVA has been tested on a collection of 100 clinical GAS strains representing the most common emm types found in high-income countries plus 18 published gap-free genomes, in comparison to PFGE and MLST. The MLVA analysis defined 30 MLVA typeswith ten out of the considered 15 emm types exhibiting multiple and specific MLVA types. In only one occasion the same MLVA profilewas shared between isolates belonging to two different emmtypes. A robust congruency between themethods was observed,with MLVA discriminating within clonal complexes as defined by PFGE orMLST. This newMLVA scheme can be adopted as a quick, low-cost and reliable typing method to track the short-term diffusion of GAS clones in inter-laboratory-based surveillance.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12610/1582
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