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Subtyping Options for Microsporum canis Using Microsatellites and MLST: A Case Study from Southern Italy
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 betw...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780581/ https://www.ncbi.nlm.nih.gov/pubmed/35055952 http://dx.doi.org/10.3390/pathogens11010004 |
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author | Aneke, Chioma Inyang Čmoková, Adéla Hubka, Vít Rhimi, Wafa Otranto, Domenico Cafarchia, Claudia |
author_facet | Aneke, Chioma Inyang Čmoková, Adéla Hubka, Vít Rhimi, Wafa Otranto, Domenico Cafarchia, Claudia |
author_sort | Aneke, Chioma Inyang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8780581 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87805812022-01-22 Subtyping Options for Microsporum canis Using Microsatellites and MLST: A Case Study from Southern Italy Aneke, Chioma Inyang Čmoková, Adéla Hubka, Vít Rhimi, Wafa Otranto, Domenico Cafarchia, Claudia Pathogens Article 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. MDPI 2021-12-22 /pmc/articles/PMC8780581/ /pubmed/35055952 http://dx.doi.org/10.3390/pathogens11010004 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Aneke, Chioma Inyang Čmoková, Adéla Hubka, Vít Rhimi, Wafa Otranto, Domenico Cafarchia, Claudia Subtyping Options for Microsporum canis Using Microsatellites and MLST: A Case Study from Southern Italy |
title | Subtyping Options for Microsporum canis Using Microsatellites and MLST: A Case Study from Southern Italy |
title_full | Subtyping Options for Microsporum canis Using Microsatellites and MLST: A Case Study from Southern Italy |
title_fullStr | Subtyping Options for Microsporum canis Using Microsatellites and MLST: A Case Study from Southern Italy |
title_full_unstemmed | Subtyping Options for Microsporum canis Using Microsatellites and MLST: A Case Study from Southern Italy |
title_short | Subtyping Options for Microsporum canis Using Microsatellites and MLST: A Case Study from Southern Italy |
title_sort | subtyping options for microsporum canis using microsatellites and mlst: a case study from southern italy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780581/ https://www.ncbi.nlm.nih.gov/pubmed/35055952 http://dx.doi.org/10.3390/pathogens11010004 |
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