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Genome wide analysis of protein production load in Trichoderma reesei

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 i...

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Autores principales: Pakula, Tiina M., Nygren, Heli, Barth, Dorothee, Heinonen, Markus, Castillo, Sandra, Penttilä, Merja, Arvas, Mikko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924338/
https://www.ncbi.nlm.nih.gov/pubmed/27354857
http://dx.doi.org/10.1186/s13068-016-0547-5
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author Pakula, Tiina M.
Nygren, Heli
Barth, Dorothee
Heinonen, Markus
Castillo, Sandra
Penttilä, Merja
Arvas, Mikko
author_facet Pakula, Tiina M.
Nygren, Heli
Barth, Dorothee
Heinonen, Markus
Castillo, Sandra
Penttilä, Merja
Arvas, Mikko
author_sort Pakula, Tiina M.
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13068-016-0547-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-49243382016-06-29 Genome wide analysis of protein production load in Trichoderma reesei Pakula, Tiina M. Nygren, Heli Barth, Dorothee Heinonen, Markus Castillo, Sandra Penttilä, Merja Arvas, Mikko Biotechnol Biofuels Research 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13068-016-0547-5) contains supplementary material, which is available to authorized users. BioMed Central 2016-06-28 /pmc/articles/PMC4924338/ /pubmed/27354857 http://dx.doi.org/10.1186/s13068-016-0547-5 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Pakula, Tiina M.
Nygren, Heli
Barth, Dorothee
Heinonen, Markus
Castillo, Sandra
Penttilä, Merja
Arvas, Mikko
Genome wide analysis of protein production load in Trichoderma reesei
title Genome wide analysis of protein production load in Trichoderma reesei
title_full Genome wide analysis of protein production load in Trichoderma reesei
title_fullStr Genome wide analysis of protein production load in Trichoderma reesei
title_full_unstemmed Genome wide analysis of protein production load in Trichoderma reesei
title_short Genome wide analysis of protein production load in Trichoderma reesei
title_sort genome wide analysis of protein production load in trichoderma reesei
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4924338/
https://www.ncbi.nlm.nih.gov/pubmed/27354857
http://dx.doi.org/10.1186/s13068-016-0547-5
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