Multi-omics analysis reveals Protein Kinase A-associated regulatory remodeling during adaptation of Trichoderma reesei to lignocellulosic substrate
Abstract
The filamentous fungus Trichoderma reesei is a major industrial source of holocellulolytic enzymes, and its response to complex carbon sources is regulated by nutrient-sensing mechanisms, including the cyclic adenosine monophosphate (cAMP)-protein kinase A (PKA) signaling pathway. Here, we integrated transcriptomics, quantitative proteomics, and phosphoproteomics to analyze PKAc1-associated responses in the parental strain QM9414 and a Δpkac1 strain cultivated under glucose or sugarcane bagasse conditions. Deletion of pkac1 was associated with altered growth-related phenotypes and reduced extracellular activities of selected biomass-depolymerizing enzymes. Multi-omics profiling revealed condition-dependent changes affecting subsets of carbohydrate-active enzymes (CAZymes) genes and proteins, nutrient transporters, stress-associated proteins, and regulatory factors. Phosphoproteomics identified phosphorylation-state changes associated with pkac1 deletion, including reduced phosphorylation at sites enriched for the PKA consensus motif. In silico peptide docking was used to prioritize candidate PKAc1-associated substrates for future validation, including a Sec 7-derived peptide with favorable docking behavior relative to the control peptide. Together, these data support a working model in which PKAc1 contributes to regulatory and phosphorylation-state remodeling during adaptation to sugarcane bagasse, with effects on the magnitude and/or timing of selected CAZyme-related outputs in T. reesei.
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Authors: Hermano Zenaide-Neto, Wellington Ramos Pedersoli, David Batista Maués, Lucas Matheus Soares Pereira, Iasmin Cartaxo Taveira, Thiago de Andrade Simon, Andrei Stecca Steindorff, Vítor M. Faça, Renato Graciano de Paula, Roberto Nascimento Silva
Institutions: Universidade de São Paulo, Universidade Federal do Espírito Santo, National Institute of Science and Technology, Universidade de Ribeirão Preto, Lawrence Berkeley National Laboratory, Clinics Hospital of Ribeirão Preto, Joint Genome Institute, Instituto de Neurociências e Comportamento