Subtyping Options for Microsporum canis Using Microsatellites and MLST: A Case Study from Southern Italy

0555094 - MBÚ 2023 RIV CH eng J - Článek v odborném periodiku
Aneke, C. - Čmoková, Adéla - Hubka, Vít - Rhimi, W. - Otranto, D. - Cafarchia, C.
Subtyping Options for Microsporum canis Using Microsatellites and MLST: A Case Study from Southern Italy.
Pathogens. Roč. 11, č. 1 (2022), č. článku 4. E-ISSN 2076-0817
Institucionální podpora: RVO:61388971
Klíčová slova: primer sets * differentiation * marker * pcr * identification * software * genotype * genes * cats * dogs * microsatellite typing * multilocus sequence typing * population structure * genetic diversity * zoonotic infections * zoophilic dermatophytes
Obor OECD: Microbiology
Impakt faktor: 3.7, rok: 2022
Způsob publikování: Open access
https://www.mdpi.com/2076-0817/11/1/4

Microsporum canis is considered one of the most common zoophilic dermatophyte species causing infections in animals and humans worldwide. However, molecular epidemiological studies on this dermatophyte are still rare. In this study, we aimed to analyse the population structure and relationships between M. canis strains (n = 66) collected in southern Italy and those isolated from symptomatic and asymptomatic animals (cats, dogs and rabbits) and humans. For subtyping purposes, using multilocus sequence typing (MLST) and multilocus microsatellite typing (MLMT), we first used a limited set of strains to screen for variability. No intraspecies variability was detected in six out of the eight reference genes tested and only the ITS and IGS regions showed two and three sequence genotypes, respectively, resulting in five MLST genotypes. All of eight genes were, however, useful for discrimination among M. canis, M. audouinii and M. ferrugineum. In total, eighteen microsatellite genotypes (A-R) were recognized using MLMT based on six loci, allowing a subdivision of strains into two clusters based on the Bayesian iterative algorithm. Six MLMT genotypes were from multiple host species, while 12 genotypes were found only in one host. There were no statistically significant differences between clusters in terms of host spectrum and the presence or absence of lesions. Our results confirmed that the MLST approach is not useful for detailed subtyping and examining the population structure of M. canis, while microsatellite analysis is a powerful tool for conducting surveillance studies and gaining insight into the epidemiology of infections due to this pathogen.
Trvalý link: http://hdl.handle.net/11104/0331599