GeneticsGeneticsPeer-reviewed journal article
Whole genome analysis illustrates global clonal population structure of the ubiquitous dermatophyte pathogen Trichophyton rubrum
Gabriela Félix PersinotiiD, Diego A. MartineziD, Wenjun Li, Aylin DöğeniD, R. Blake BillmyreiD, Anna Floyd AveretteiD, Jonathan M. GoldbergiD, Terrance Shea, Sarah YoungiD, Qiandong ZengiD, Brian Gregory George OliveriD, Richard BartoniD, Banu MetiniD, Süleyha Hilmioğlu PolatiD, Macit İlkitiD, Yvonne GräseriD, Nilce Maria Martinez-RossiiD, Theodore C. WhiteiD, Joseph HeitmaniD, Christina A. CuomoiD
Abstract
Dermatophytes include fungal species that infect humans, as well as those which also infect other animals or only grow in the environment. The dermatophyte species Trichophyton rubrum is a frequent cause of skin infection in immunocompetent individuals. While members of the T. rubrum species complex have been further categorized based on various morphologies, the population structure and ability to undergo sexual reproduction are not well understood. In this study, we analyze a large set of T. rubrum and Trichophyton interdigitale isolates to examine mating types, evidence of mating, and genetic variation. We find that nearly all isolates of T. rubrum are of a single mating type, and that incubation with T. rubrum morphotype megninii isolates of the other mating type failed to induce sexual development. While the region around the mating type locus is characterized by a higher frequency of SNPs compared to other genomic regions, we find that the population is remarkably clonal, with highly conserved gene content, low levels of variation, and little evidence of recombination These results support a model of recent transition to asexual growth when this species specialized to growth on human hosts.\n\nData access: Genome sequence data is available in NCBI under the Umbrella BioProject PRJNA186851.
- organism: fungi (other)
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: gene regulatory network inference
- research focus: clustering
- approach: statistical model
- Citations
- 63
- FWCI
- 6.83
- Field percentile
- top 2%
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