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Removal and Replacement of Endogenous Ligands from Lipid-Bound Proteins and Allergens
Published on: February 24, 2021
Species Identification and Orthologous Allergen Prediction and Expression in the Genus Aspergillus
Maria C Zuleta1, Oscar M Gómez1,2, Elizabeth Misas1
1Cellular and Molecular Biology Unit, Corporación para Investigaciones Biológicas (CIB), Medellín 050034, Colombia.
Abstract:
The genus Aspergillus comprises a diverse group of fungi that can cause a range of health issues, including systemic infections and allergic reactions. In this regard, A. fumigatus 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 Aspergillus 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 conducted a prediction of allergenic capacity based on a homology analysis across all the isolated species and confirmed by RT-qPCR the expression of three orthologous allergens (Asp f 1, Asp f 3 and Asp f 22) in fifteen different Aspergillus species. The species-level identification rate with the barcoding and the species tree were calculated at 64.2% and 100%, respectively. The results demonstrated that A. fumigatus, A. flavus and A. niger were the most prevalent species. The species A. hortae, A. uvarum, A. spinulosporus, A. sydowii, A. westerdijkiae, A. amoenus and A. rhizopodus identified in this study represent the inaugural report of their presence in our region. The results of the homology analysis indicated the presence of orthologous allergens in a wide range of non-fumigatus species. This study presents a novel approach based on WGS that enables the classification of new species within the genus Aspergillus and reports the genomic sequences of a great diversity of species isolated in our geographic area that had never been reported before. Additionally, this approach enables the prediction of allergens in species other than A. fumigatus and demonstrates their genetic expression, thereby contributing to the understanding of the allergenic potential of different species within this fungal genus.
Insights
Whole genome sequencing (WGS) accurately identifies Aspergillus species and predicts allergens. This study reveals new species and allergens beyond Aspergillus fumigatus, improving understanding of fungal allergies.
Area of Science:
- Mycology and Fungal Genomics
- Medical Mycology
- Bioinformatics and Computational Biology
Background:
- The genus Aspergillus includes fungi causing infections and allergies, with Aspergillus fumigatus being a primary allergen source.
- Frequent updates in Aspergillus taxonomy challenge traditional identification methods.
- Accurate species identification is crucial for understanding disease pathogenesis and allergenicity.
Purpose of the Study:
- To evaluate a whole genome sequencing (WGS)-based pipeline for precise Aspergillus species identification.
- To predict the allergenic potential of various Aspergillus species.
- To report novel species and genomic sequences of Aspergillus isolates from a specific region.
Main Methods:
- Whole genome sequencing of 81 Aspergillus isolates.
- Species identification using BLASTn with barcode genes and OrthoFinder for species tree inference.
- Allergen prediction via homology analysis and confirmation of allergen gene expression (Asp f 1, Asp f 3, Asp f 22) using RT-qPCR.
Main Results:
- The species tree inference method achieved 100% species-level identification, surpassing the 64.2% rate of barcoding.
- Aspergillus fumigatus, A. flavus, and A. niger were the most prevalent species identified.
- Orthologous allergens were detected in numerous non-fumigatus species, with novel species like A. hortae and A. uvarum reported for the first time in the region.
Conclusions:
- WGS provides a robust approach for accurate Aspergillus species classification, including novel species identification.
- The study identified a broad range of Aspergillus species with allergenic potential beyond A. fumigatus.
- This research enhances the understanding of fungal allergenicity and contributes genomic data for diverse Aspergillus species.
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