Search bioRxiv⌕ Search

bioRxiv · 10.64898/2026.05.05.722857

Protease suppression by native I9 inhibitor improves recombinant protein production in Trichoderma reesei

Abstract

Microbes are powerful cell factories for making molecules that are difficult or impossible to produce by other means. Filamentous fungi such as Trichoderma reesei are superior hosts for recombinant protein production, yet secreted proteases often degrade target proteins, reducing yields and limiting process robustness. Preventing proteolysis without relying on expensive commercial inhibitors or compromising strain fitness has been a longstanding challenge in fungal biotechnology, particularly for scaling up production to industrially relevant levels. Here, we report the identification of a native inhibitory protein from T. reesei, TrI9, and show that directing its secretion into the culture medium markedly reduces extracellular protease activity and enables production of the highly protease-sensitive spider silk-like protein CBM-AQ12-CBM, which could be used in high-performance biomaterials. Computational and in vitro analyses provide mechanistic insight, showing that TrI9 functions as a multi-target inhibitor of subtilisin-like proteases (SLPs), including SLP2, a protease that cannot be eliminated by gene deletion due to its crucial role in normal growth and development. This TrI9-based strategy for protease mitigation presents a novel approach for strain improvement, protecting a wide range of protease-labile products beyond silk proteins during large-scale fermentation. Protecting sensitive proteins without added inhibitors offers a cost-effective alternative for scaling up protein production across multiple applications, from protein-based materials manufacturing to pharmaceuticals, as well as enzyme and food applications. SignificanceThe discovery and characterization of an independently encoded I9 inhibitor (TrI9) in the filamentous fungus Trichoderma reesei reveals a new layer of biological regulation of subtilisin-like protease activity in fungi. We show that overexpressing and secreting TrI9 into the culture supernatant can suppress extracellular proteolysis, including activity from the essential SLP2 protease thereby overcoming a major barrier to production of protease-sensitive recombinant proteins without compromising strain fitness. For industrial biomanufacturing, this translates into higher effective titers, more consistent product integrity and reduced reliance on costly commercial protease inhibitors, hence, improving process robustness and economics. As a broadly applicable strain-and-process strategy, TrI9-enabled protease control strengthens T. reesei as a scalable platform for precision fermentation of diverse, otherwise hard-to-produce proteins.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Valkonen, M., Girych, M., Havukainen, S., Sveholm, E., Luoto, J. C., Schmidt, G., Adlung, N., Aalto, A., Ollila, O. H. S., Mattila, H., Paasela, T.. 2026-05-08. Protease suppression by native I9 inhibitor improves recombinant protein production in Trichoderma reesei. https://doi.org/10.64898/2026.05.05.722857

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Selected for the surface: adaptive laboratory evolution for accelerated cathodic biofilm development in Cupriavidus necator

Cupriavidus necator is a metabolically versatile facultative chemolithoautotroph and a promising chassis for sustainable bioproduction from CO2. Efficient coupling of its metabolism to renewable electricity through microbial electrosynthesis (MES) requires the organism to form stable, electroactive biofilms on cathodes. This step is hindered under oxic conditions (oxic MES, oMES) by electrochemically generated reactive oxygen species (ROS), mass-transfer limitations and poor biofilm stability. Systematic strategies to improve C. necator biofilm formation on cathodes have been lacking. Here we used adaptive laboratory evolution (ALE) to address this gap. The progenitor strain colonised graphite cathodes only after an initial heterotrophic phase and formed spatially uneven biofilms whose distribution mirrored the local flow field, as resolved by micro-particle tracking velocimetry. Populations were then selected over five passages under controlled, oxygen-limited cathodic conditions. Resequencing revealed that the recovered population was genetically heterogeneous, and its dominant isolate, strain 890, was characterised in a microfluidic oMES platform. Strain 890 reached the target electrode coverage in about one day instead of six and maintained a robust biofilm at the progenitor's steady-state biovolume, whereas the multi-strain pool peaked higher but proved unstable. Relative to the progenitor, the accelerated biofilm phenotype of strain 890 is driven by a single novel mutation in a bifunctional diguanylate cyclase/phosphodiesterase locus, which likely encodes a central regulator of the planktonic-to-biofilm transition. The steady-state biovolume itself remained bounded, most probably due to a mass-transfer ceiling set by the counter-directional supply of H2 and O2. This work shows that ALE renders the initial-attachment barrier of cathodic biofilm formation genetically tractable, providing strain 890 as a robust chassis and a well-defined starting point for oMES-based CO2 valorisation.

bioengineering↗

Engineering a High-Fidelity CRISPR-Cas13d System for Targeted RNA Depletion in Plasmodium falciparum

Functional genomics in Plasmodium falciparum is severely constrained by the evolutionary absence of an endogenous RNA interference pathway and the requirement for time-consuming direct target locus modification by conventional conditional genetic engineering systems. To overcome these limitations, we established a programmable post-transcriptional gene silencing system in P. falciparum using High-Fidelity RfxCas13d (HF-RfxCas13d), an RNA-guided RNA nuclease that has been previously tested in several eukaryotic hosts. Using CRISPR-SpyCas9 we integrated a HF-RfxCas13d expression cassette at the dispensable pfs47 locus and generated a stable marker-free transgenic line capable of constitutive HF-RfxCas13d cytosolic expression without impairing intraerythrocytic asexual growth. Episomal delivery of single or dual guide RNAs (gRNAs) achieved significant target mRNA depletion (41%-76%) across three endogenous loci atp4, ap2-exp, ap2-g genes. Applying this system to the master transcriptional regulator of gametocytogenesis (ap2-g) resulted in transcript depletion that functionally impaired sexual differentiation in committed parasites, reducing significantly the Sexual Conversion Rate a 70%. Overall, our novel HF-Cas13d line provides a flexible, scalable, and non-locus-modifying addition to the P. falciparum genetic toolbox to accelerate functional genomics and malaria drug target identification.

bioengineering↗

DECODE: DEcomposition of COupled and DEcoupled Brain States: Separating Structure-Coupled and Structure-Decoupled Functional Organization in Alzheimers Disease

Brain functional activity emerges within an underlying structural scaffold. While structural network connectivity provides a relatively stable anatomical backbone for large-scale communication, functional interactions are high-dimensional and temporally dynamic, forming recurrent patterns that can be represented in a latent space of transient functional states. Yet, how these transient functional states are organized and the extent to which they remain constrained by structural network connectivity or become relatively decoupled from structural organization over time remain poorly understood. To address this gap, we introduce DECODE (DEcomposition of COupled and DEcoupled Brain States), a data-driven latent-space framework that uses independent component analysis (ICA) and multimodal data to decompose resting-state dynamic functional network connectivity into a lower-dimensional representation of transient functional states. These states capture temporally varying structure-coupled and structure-decoupled patterns using diffusion MRI-derived structural network connectivity priors. Structure-coupled states reflect functional configurations more strongly anchored to major structural motifs, whereas structure-decoupled states represent configurations less constrained by the identified structural organization, while potentially remaining within structurally defined dynamical bounds. DECODE identifies reproducible structure-coupled and structure-decoupled states, with mean squared error reconstruction of dynamic information < 0.1 and adjusted R-squared = 0.4. Applied to Alzheimers disease (AD), DECODE revealed stronger group differences (FDR-corrected p-value 0.05) in both connectivity organization and temporal dynamics for decoupled states. These findings suggest that functional states less constrained by identified structural organization may be more vulnerable to AD-related disruption, whereas structure-coupled states may be relatively preserved. More broadly, DECODE provides a reproducible and generalizable framework for quantifying how functional dynamics are shaped by, or diverge from, structural organization by incorporating a latent representation of the structural connectome as an informative prior. Our findings established structural and functional alignment variation by distinguishing dynamic functional patterns closely coupled with structure from those that deviate from it.

bioengineering↗