Abstract
Background: The filamentous fungus Trichoderma reesei
(teleomorph Hypocrea jecorina) is a widely used
industrial host organism for protein production. In
industrial cultivations, it can produce over 100 g/l of
extracellular protein, mostly constituting of cellulases
and hemicellulases. In order to improve protein
production of T. reesei the transcriptional regulation of
cellulases and secretory pathway factors have been
extensively studied. However, the metabolism of T. reesei
under protein production conditions has not received much
attention. Results: To understand the physiology and
metabolism of T. reesei under protein production
conditions we carried out a well-controlled bioreactor
experiment with extensive analysis. We used minimal media
to make the data amenable for modelling and three strain
pairs to cover different protein production levels. With
RNA-sequencing transcriptomics we detected the
concentration of the carbon source as the most important
determinant of the transcriptome. As the major
transcriptional response concomitant to protein
production we detected the induction of selected genes
that were putatively regulated by xyr1 and were related
to protein transport, amino acid metabolism and
transcriptional regulation. We found novel metabolic
responses such as production of glycerol and a
cellotriose-like compound. We then used this cultivation
data for flux balance analysis of T. reesei metabolism
and demonstrate for the first time the use of genome wide
stoichiometric metabolic modelling for T. reesei. We show
that our model can predict protein production rate and
provides novel insight into the metabolism of protein
production. We also provide this unprecedented
cultivation and transcriptomics data set for future
modelling efforts. Conclusions: The use of stoichiometric
modelling can open a novel path for the improvement of
protein production in T. reesei. Based on this we propose
sulphur assimilation as a major limiting factor of
protein production. As an organism with exceptional
protein production capabilities modelling of T. reesei
can provide novel insight also to other less productive
organisms.
Original language | English |
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Number of pages | 26 |
Journal | Biotechnology for Biofuels |
Volume | 9 |
DOIs | |
Publication status | Published - 2016 |
MoE publication type | A1 Journal article-refereed |
Keywords
- flux balance analysis
- hypocrea jecorina
- metabolic modelling
- protein production
- RNA sequencing
- stoichiometric model
- transcriptomics
- trichoderma reesei