Journal of FungiGenomicsPeer-reviewed journal article
Conservation and Expansion of Transcriptional Factor Repertoire in the Fusarium oxysporum Species Complex
Houlin YuiD, Yang HeiD, Sajeet HaridasiD, Richard D. HayesiD, Hunter Lynch, Sawyer AnderseniD, Madison R. Newman, Gengtan LiiD, Domingo Martínez‐SotoiD, Shira MiloiD, Dilay Hazal AyhaniD, Yong ZhangiD, Igor V. GrigorieviD, Li‐Jun MaiD
Abstract
The Fusarium oxysporum species complex (FOSC) includes both plant and human pathogens that cause devastating plant vascular wilt diseases and threaten public health. Each F. oxysporum genome comprises core chromosomes (CCs) for housekeeping functions and accessory chromosomes (ACs) that contribute to host-specific adaptation. This study inspected global transcription factor profiles (TFomes) and their potential roles in coordinating CCs and ACs functions to accomplish host-specific pathogenicity. Remarkably, we found a clear positive correlation between the sizes of TFome and proteome of an organism, and FOSC TFomes are larger due to the acquisition of ACs. Among a total of 48 classified TF families, 14 families involved in transcription/translation regulations and cell cycle controls are highly conserved. Among 30 FOSC expanded families, Zn2-C6 and Znf_C2H2 are most significantly expanded to 671 and 167 genes per family, including well-characterized homologs of Ftf1 (Zn2-C6) and PacC (Znf_C2H2) involved in host-specific interactions. Manual curation of characterized TFs increased the TFome repertoires by 3%, including a disordered protein Ren1. Expression profiles revealed a steady expression of conserved TF families and specific activation of AC TFs. Functional characterization of these TFs could enhance our understanding of transcriptional regulation involved in FOSC cross-kingdom interactions, disentangle species-specific adaptation, and identify targets to combat diverse diseases caused by this group of fungal pathogens.
- organism: fungi (other)
- assay: DNA methylation
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 7
- FWCI
- 0.62
- Field percentile
- top 41%
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