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Abstract
Melanized fungi and black yeasts in the family Herpotrichiellaceae (order Chaetothyriales) are important agents of human and animal infectious diseases such as chromoblastomycosis and phaeohyphomycosis. The oligotrophic nature of these fungi enables them to survive in adverse environments where common saprobes are absent. Due to their slow growth, they lose competition with common saprobes, and therefore isolation studies yielded low frequencies of clinically relevant species in environmental habitats from which humans are thought to be infected. This problem can be solved with metagenomic techniques which allow recognition of microorganisms independent from culture. The present study aimed to identify species of the family Herpotrichiellaceae that are known to occur in Brazil by the use of molecular markers to screen public environmental metagenomic datasets from Brazil available in the Sequence Read Archive (SRA). Species characterization was performed with the BLAST comparison of previously described barcodes and padlock probe sequences. A total of 18,329 sequences was collected comprising the genera Cladophialophora, Exophiala, Fonsecaea, Rhinocladiella and Veronaea, with a focus on species related to the chromoblastomycosis. The data obtained in this study demonstrated presence of these opportunists in the investigated datasets. The used techniques contribute to our understanding of environmental occurrence and epidemiology of black fungi.
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1 Federal University of Paraná, Engineering Bioprocess and Biotechnology Post-Graduation Program, Department of Bioprocess Engineering and Biotechnology, Curitiba, Brazil (GRID:grid.20736.30) (ISNI:0000 0001 1941 472X)
2 Federal University of Paraná, Microbiology, Parasitology and Pathology Post-Graduation Program, Department of Pathology, Curitiba, Brazil (GRID:grid.20736.30) (ISNI:0000 0001 1941 472X)
3 Mashhad University of Medical Sciences, Department of Parasitology and Mycology, School of Medicine, Mashhad, Iran (GRID:grid.411583.a) (ISNI:0000 0001 2198 6209)
4 Guangdong Provincial Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China (GRID:grid.198530.6) (ISNI:0000 0000 8803 2373)
5 Federal University of Paraná, Laboratory of Bioinformatics, Professional and Technological Education Sector, Curitiba, Brazil (GRID:grid.20736.30) (ISNI:0000 0001 1941 472X)
6 Federal University of Paraná, Central Laboratory in Nanotechnology, Curitiba, Brazil (GRID:grid.20736.30) (ISNI:0000 0001 1941 472X)
7 Federal University of Paraná, Microbiology, Parasitology and Pathology Post-Graduation Program, Department of Pathology, Curitiba, Brazil (GRID:grid.20736.30) (ISNI:0000 0001 1941 472X); Center of Expertise in Mycology of Radboud University Medical Center/Canisius Wilhelmina Hospital, Nijmegen, The Netherlands (GRID:grid.20736.30)
8 Federal University of Paraná, Engineering Bioprocess and Biotechnology Post-Graduation Program, Department of Bioprocess Engineering and Biotechnology, Curitiba, Brazil (GRID:grid.20736.30) (ISNI:0000 0001 1941 472X); Federal University of Paraná, Microbiology, Parasitology and Pathology Post-Graduation Program, Department of Pathology, Curitiba, Brazil (GRID:grid.20736.30) (ISNI:0000 0001 1941 472X)