biostudies-literatureDu MNational Natural Science Foundation of China1369349https://www.ebi.ac.uk/biostudies/studies/S-EPMC11076716biostudies-literatureUnknown15<h4>Introduction</h4>Systemic dimorphic fungi pose a significant public health challenge, causing over one million new infections annually. The dimorphic transition between saprophytic mycelia and pathogenic yeasts is strongly associated with the pathogenesis of dimorphic fungi. However, despite the dynamic nature of dimorphic transition, the current omics studies focused on dimorphic transition primarily employ static strategies, partly due to the lack of suitable dynamic analytical methods.<h4>Methods</h4>We conducted time-course transcriptional profiling during the dimorphic transition of <i>Talaromyces marneffei</i>, a model organism for thermally dimorphic fungi. To capture non-uniform and nonlinear transcriptional changes, we developed DyGAM-NS (dynamic optimized generalized additiveFrontiers in microbiologyUnraveling the dynamic transcriptomic changes during the dimorphic transition of <i>Talaromyces marneffei</i> through time-course analysis.PMC110767163217009131970008Zhang YHu XTao CKan JWang JDu MYang EfalseUnraveling the dynamic transcriptomic changes during the dimorphic transition of <i>Talaromyces marneffei</i> through time-course analysis.<h4>Introduction</h4>Systemic dimorphic fungi pose a significant public health challenge, causing over one million new infections annually. The dimorphic transition between saprophytic mycelia and pathogenic yeasts is strongly associated with the pathogenesis of dimorphic fungi. However, despite the dynamic nature of dimorphic transition, the current omics studies focused on dimorphic transition primarily employ static strategies, partly due to the lack of suitable dynamic analytical methods.<h4>Methods</h4>We conducted time-course transcriptional profiling during the dimorphic transition of <i>Talaromyces marneffei</i>, a model organism for thermally dimorphic fungi. To capture non-uniform and nonlinear transcriptional changes, we developed DyGAM-NS (dynamic optimized generalized additive2024-01-01T00:00:00Z20242026-06-02T01:37:13.266Z2026-04-13T03:12:19.93ZS-EPMC110767163872160010.3389/fmicb.2024.1369349