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PubMed · 562285

[Moder classification of dermatophytes].

Abstract

Dermatophytes are classified according to two systems. The first, or parasitic classifications of Sabouraud, rests on the morphology of the dermatophytes on the hair in vivo (Achorion, Trichophyton endothrix or ectothrix microides and megaspores, Microsporum) or on the absence of growth on the hair in vivo (Epidermophyton). In the second type they are classified according to their saprophytic morphology. There are many classification of this type based on the asexual state of the dermatophytes, e.g. the classification of Emmons (Trichophyton, Microsporum, Epidermophyton) or the classification of Vanbreuseghem and De Vroey (Microides, Trichophyton, Microsporum, Epidermophyton, Keratinomyces). As the existence of a sexual state of the dermatophytes has been demonstrated, the dermatophytes are also classified in two perfect genera: Arthroderma and Nannizzia. In this paper it is assumed that both classification have to be used because they are not correlated.

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BibTeXRIS

R Vanbreuseghem. 1977. [Moder classification of dermatophytes].. https://pubmed.ncbi.nlm.nih.gov/562285/

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Analysis of the dermatophyte Trichophyton rubrum expressed sequence tags.

BACKGROUND: Dermatophytes are the primary causative agent of dermatophytoses, a disease that affects billions of individuals worldwide. Trichophyton rubrum is the most common of the superficial fungi. Although T. rubrum is a recognized pathogen for humans, little is known about how its transcriptional pattern is related to development of the fungus and establishment of disease. It is therefore necessary to identify genes whose expression is relevant to growth, metabolism and virulence of T. rubrum. RESULTS: We generated 10 cDNA libraries covering nearly the entire growth phase and used them to isolate 11,085 unique expressed sequence tags (ESTs), including 3,816 contigs and 7,269 singletons. Comparisons with the GenBank non-redundant (NR) protein database revealed putative functions or matched homologs from other organisms for 7,764 (70%) of the ESTs. The remaining 3,321 (30%) of ESTs were only weakly similar or not similar to known sequences, suggesting that these ESTs represent novel genes. CONCLUSION: The present data provide a comprehensive view of fungal physiological processes including metabolism, sexual and asexual growth cycles, signal transduction and pathogenic mechanisms.

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