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Comparative systematic analysis of transcriptomes in the elucidation of potential antifungal targets

Grant number: 21/10359-2
Support Opportunities:Scholarships in Brazil - Post-Doctoral
Effective date (Start): November 01, 2021
Effective date (End): October 31, 2024
Field of knowledge:Biological Sciences - Genetics - Molecular Genetics and Genetics of Microorganisms
Principal Investigator:Nilce Maria Martinez-Rossi
Grantee:Monise Fazolin Petrucelli
Host Institution: Faculdade de Medicina de Ribeirão Preto (FMRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil
Associated research grant:19/22596-9 - Molecular mechanisms associated with pathogenicity and resistance in fungi: strategies for treating dermatophytosis, AP.TEM


Computational models that aim to identify potential antifungal targets have been successfully used for fungi such as Aspergillus fumigatus and yeasts and show the possible use of large-scale sequencing for this purpose. The genome of several pathogenic fungi, including dermatophytes, is known and strongly contributes to comparative analyses and the identification of gene classes enriched in the genome of specific species or groups of fungi associated with adaptation to a particular niche and style of life of these fungi. In addition, to comparative genome analysis, the approaches currently employed to identify putative molecular targets assess metabolic flux, compile data on gene expression under specific conditions, and establish a "ranking" for promising targets, which also takes into account the analyses of domains, the three-dimensional structure of proteins, and comparison with orthologous proteins from humans. Additionally, the systematic study of metabolic networks may require a comparative study of strains, employing the analysis of mutant collections. In this proposal, we intend to identify in the data generated in the transcriptomes of the wild and mutant strains of N. crassa and T. rubrum crucial enzymes for the metabolism and adaptation of fungi under different cultivation conditions, revealing in a refined way molecular targets for the development of antifungals. (AU)

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