Détail du document
Identifiant
doi:10.1186/s43008-023-00120-x...
Auteur
Zhou, Xin Ahmed, Sarah A. Tang, Chao Grisolia, Maria Eduarda Warth, José Francisco Ghignatti Webster, Kristen Peano, Andrea Uhrlass, Silke Cafarchia, Claudia Hayette, Marie Pierre Sacheli, Rosalie Matos, Tadeja Kang, Yingqian Hoog, G. Sybren Feng, PeiyingLangue
enEditeur
BioMed Central
Catégorie
Mycology
Année
2023
Date de référencement
26/07/2023
Mots clés
dermatophytes host shift phylogeny mat idiomorph distribution physicochemical features tinea capitis canis zoophilic anthropophilic speciesRésumé
The Microsporum canis complex consists of one zoophilic species, M. canis , and two anthropophilic species, M. audouinii and M. ferrugineum .
These species are the most widespread zoonotic pathogens causing dermatophytosis in cats and humans worldwide.
To clarify the evolutionary relationship between the three species and explore the potential host shift process, this study used phylogenetic analysis, population structure analysis, multispecies coalescent analyses, determination of MAT idiomorph distribution, sexual crosses, and macromorphology and physicochemical features to address the above questions.
The complex of Microsporum canis , M. audouinii and M. ferrugineum comprises 12 genotypes.
MAT1-1 was present only in M. canis , while the anthropophilic entities contained MAT1-2 .
The pseudocleistothecia were yielded by the mating behaviour of M. canis and M. audouinii .
Growth rates and lipase, keratinolysis and urea hydrolytic capacities of zoophilic M. canis isolates were all higher than those of anthropophilic strains; DNase activity of M. ferrugineum exceeded that of M. canis .
The optimum growth temperature was 28 °C, but 22 °C favoured the development of macroconidia.
Molecular data, physicochemical properties and phenotypes suggest the adaptation of zoophilic M. canis to anthropophilic M. ferrugineum, with M. audouinii in an intermediate position.
Zhou, Xin,Ahmed, Sarah A.,Tang, Chao,Grisolia, Maria Eduarda,Warth, José Francisco Ghignatti,Webster, Kristen,Peano, Andrea,Uhrlass, Silke,Cafarchia, Claudia,Hayette, Marie Pierre,Sacheli, Rosalie,Matos, Tadeja,Kang, Yingqian,Hoog, G. Sybren,Feng, Peiying, 2023, Human adaptation and diversification in the Microsporum canis complex, BioMed Central
SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models
methods salience efficiency quantization language slim-llm llms
Prediction Models for Suicide Attempts among Adolescents Using Machine Learning Techniques
using data ml prediction 0 suicide adolescents
