- Dr. Antonio Vasquez Hidalgo, Phd*
- *Professor of Microbiology, School of Medicine, University of El Salvador
- DOI: 10.5281/zenodo.17399462
Objective. To determine by the Next-Generation Sequencing Illumina method to identify the genes related to the pigmentation of the fungus in the DNA sequencing of enzymes and secondary metabolites. As well as in determining the phenotypic and genotypic characteristics in general of the species A. salvadorensis. Methodology. For the identification of cluster genes in enzymes, proteins, and secondary metabolites, MACROGEN For the identification of cluster genes in enzymes, proteins, and secondary metabolites, MACROGEN used the following systems: the EggNOG system summary: Orthology Frequency within COG (Clusters of Orthologous Groups) Categories in sequencing reading., MetaCyc is a comprehensive database that provides in-depth information on metabolic pathways, biochemical reactions, enzymes, and associated compounds. UniRef (UniProt Reference Clusters) organizes groups of protein sequences from the UniProt Knowledgebase including isoforms and selected UniParc entries into clustered sets to enhance sequence analysis and annotation efficiency. EggNOG: Relative Abundance in Hierarchical Categories of COG (Clusters of Orthologous Groups) using CPM, KEGG Orthology (KO) and KEGG summary: Orthology Frequency within Main and Sub-Categories. DNA-seq. Conclusions. 14 enzymes and secondary metabolites were found in the production of black pigments produced by the fungus by oxidative stress.

