biostudies-literatureZuleta MCMinisterio de Ciencia, Tecnología e Innovación98https://www.ebi.ac.uk/biostudies/studies/S-EPMC11856533biostudies-literatureUnknown11(2)The genus <i>Aspergillus</i> comprises a diverse group of fungi that can cause a range of health issues, including systemic infections and allergic reactions. In this regard, <i>A. fumigatus</i> has been recognized as the most prevalent allergen-producing species. This genus taxonomic classification has been subject to frequent updates, which has generated considerable difficulties for its classification when traditional identification methodologies are employed. To demonstrate the feasibility of this approach, we sequenced the whole genomes of 81 <i>Aspergillus</i> isolates and evaluated a WGS-based pipeline for precise species identification. This pipeline employed two methodologies: (i) BLASTn web using four barcode genes and (ii) species tree inference by OrthoFinder. Furthermore, we cJournal of fungi (Basel, Switzerland)Species Identification and Orthologous Allergen Prediction and Expression in the Genus <i>Aspergillus</i>.PMC11856533221384467683Misas ERua-Giraldo ALMcEwen JGZuleta MCTorres SLopez AMGomez OMHernandez OBorges CLGarcia AMfalseSpecies Identification and Orthologous Allergen Prediction and Expression in the Genus <i>Aspergillus</i>.The genus <i>Aspergillus</i> comprises a diverse group of fungi that can cause a range of health issues, including systemic infections and allergic reactions. In this regard, <i>A. fumigatus</i> has been recognized as the most prevalent allergen-producing species. This genus taxonomic classification has been subject to frequent updates, which has generated considerable difficulties for its classification when traditional identification methodologies are employed. To demonstrate the feasibility of this approach, we sequenced the whole genomes of 81 <i>Aspergillus</i> isolates and evaluated a WGS-based pipeline for precise species identification. This pipeline employed two methodologies: (i) BLASTn web using four barcode genes and (ii) species tree inference by OrthoFinder. Furthermore, we c2025-01-01T00:00:00Z2025 Jan2026-04-19T03:26:55.164Z2025-04-04T02:47:23.289ZS-EPMC118565333999739210.3390/jof11020098