bioRxiv · 10.1101/2025.08.29.673034
MAESTRO uncovers tandem paralog dynamics as a core driver of fungal stress adaptation
Abstract
Understanding how fungi adapt to diverse stresses is critical for mitigating emerging drug resistance and harnessing their robustness for biotechnology. Pichia kudriavzevii is a stress-tolerant and intrinsically drug-resistant yeast, with dual industrial and clinical importance. We analyzed 170 strains using MAESTRO, a machine-learning-assisted GWAS pipeline optimized for small cohorts. MAESTRO identified biologically meaningful features and revealed that copy number variation (CNV) of tandem paralogs (TPs) is a core mechanism of multi-stress adaptation. TPs were recurrently linked to tolerance of industrial inhibitors (HMF, phenolics, heat) and antifungal drugs (fluconazole, azoles), and deletion of the TP pair gene4260/gene4261 confirmed pleiotropic effects across stresses. These findings support a TP CNV model where recombination-driven TP CNVs and gene fusions enable rapid stress adaptation. Importantly, our results suggest that antifungal resistance can arise through co-option of mechanisms originally evolved for environmental stressors, raising a One Health concern about the environmental origins of drug-resistant pathogens.
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Hsieh, P.-H., Sasaki, Y., Yang, C.-I., Wu, Z.-Y., Steindorff, A. S., Haridas, S., Ke, J., Fatma, Z., Zhao, Z., Opulente, D. A., Deng, S., Hittinger, C. T., Grigoriev, I. V., Dien, B., Zhao, H., Li, Y.-P., Yoshikuni, Y.. 2025-09-04. MAESTRO uncovers tandem paralog dynamics as a core driver of fungal stress adaptation. https://doi.org/10.1101/2025.08.29.673034
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