Prediction of Lignocellulose Degradation Potential of Wood Decay Fungi using Comparative Genomic Analysis

Tantry, S. V.; Ahrendt, S.; He, G.; LaButti, K.; Lipzen, A.; Barry, K.; Culley, D.; Magnuson, J.; Spatafora, J. W.; Grigoriev, I. V.

doi:10.64898/2026.06.15.732456

bioRxiv · 10.64898/2026.06.15.732456

Prediction of Lignocellulose Degradation Potential of Wood Decay Fungi using Comparative Genomic Analysis

Tantry, S. V.·Ahrendt, S.·He, G.·LaButti, K.·Lipzen, A.·Barry, K.·Culley, D.·Magnuson, J.·Spatafora, J. W.·Grigoriev, I. V.

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Abstract

The Agaricomycotina accounts for roughly a third of all described fungi. They are important due to their wide range of lifestyles and economic and environmental relevance. Certain agaricomycetes act as lignocellulose degraders, playing a significant role in forest ecosystems and bioremediation processes. These wood-decaying fungi have historically been classified as mostly white- or brown-rot based on their ability to degrade lignin, with white-rot fungi possessing a collection of lignocellulose-degrading enzymes, which are reduced or absent in brown-rot fungi. Here, we sequenced and annotated the genome of the agaricomycete Crepidotus cesatii CBS 511.95 and explored its genome and predicted enzymatic content in a comparative context. The 36.04 Mbp genome is in 235 scaffolds, with 3.34% repeat content and 12,891 predicted genes. We found that the PFAM distributions of identified orthogroups suggested that C. cesatii shows patterns more similar to white-rot fungi compared to brown-rot fungi. Additionally, C. cesatii contained multiple copies of CAZymes CBM1 and AA9 involved in hydrolysis of lignocellulose, similar to white-rot fungi. On the other hand, according to the Conserved Unique Peptide Patterns (CUPP) data for AA2 peroxidases, the key enzymes in lignin degradation, C. cesatii is more similar to brown-rot fungi. Based on our analyses we predict that C. cesatii is another representation of the continuum of wood decaying modes between white and brown rot fungi combining genetic features of both types of fungi.

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Tantry, S. V., Ahrendt, S., He, G., LaButti, K., Lipzen, A., Barry, K., Culley, D., Magnuson, J., Spatafora, J. W., Grigoriev, I. V.. 2026-06-19. Prediction of Lignocellulose Degradation Potential of Wood Decay Fungi using Comparative Genomic Analysis. https://doi.org/10.64898/2026.06.15.732456

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