Comparative genomic and phenotypic analyses of pathogenic fungi Neoscytalidium dimidiatum and Bipolaris papendorfii isolated from human skin scraping.
Chee Sian KuanKee Peng NgSu Mei YewHadiza Umar MelehHeng Fong SeowKang Nien HowSiok Koon YeoJap Meng JeeYung-Chie TanWai-Yan YeeChee-Choong HohRukumani Devi VelayuthanShiang Ling NaSiti Norbaya MasriShu Yih ChewLeslie Thian-Lung ThanPublished in: Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] (2023)
Neoscytalidium dimidiatum and Bipolaris species are fungal plant pathogens that have been reported to cause human diseases. Recently, we have isolated numerous N. dimidiatum and Bipolaris species from the skin scrapings and nails of different patients. In this work, we have sequenced the genome of one strain of N. dimidiatum. The sequenced genome was compared to that of a previously reported Bipolaris papendorfii genome for a better understanding of their complex lifestyle and broad host-range pathogenicity. Both N. dimidiatum UM 880 (~ 43 Mb) and B. papendorfii UM 226 (~ 33 Mb) genomes include 11,015-12,320 putative coding DNA sequences, of which 0.51-2.49% are predicted transposable elements. Analysis of secondary metabolism gene clusters revealed several genes involved in melanin biosynthesis and iron uptake. The arsenal of CAZymes related to plants pathogenicity is comparable between the species, including genes involved in hemicellulose and pectin decomposition. Several important gene encoding keratinolytic peptidases were identified in N. dimidiatum and B. papendorfii, reflecting their potential pathogenic role in causing skin and nail infections. In this study, additional information on the metabolic features of these two species, such as nutritional profiling, pH tolerance, and osmotolerant, are revealed. The genomic characterization of N. dimidiatum and B. papendorfii provides the basis for the future functional studies to gain further insights as to what makes these fungi persist in plants and why they are pathogenic to humans.
Keyphrases
- genome wide
- copy number
- single cell
- cell wall
- ejection fraction
- endothelial cells
- physical activity
- metabolic syndrome
- cardiovascular disease
- wound healing
- soft tissue
- dna methylation
- prognostic factors
- pseudomonas aeruginosa
- patient reported outcomes
- health information
- transcription factor
- human health
- gram negative
- genome wide analysis