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Correlation of gene expression and protein production rate - a system wide study

BACKGROUND: Growth rate is a major determinant of intracellular function. However its effects can only be properly dissected with technically demanding chemostat cultivations in which it can be controlled. Recent work on Saccharomyces cerevisiae chemostat cultivations provided the first analysis on...

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Autores principales: Arvas, Mikko, Pakula, Tiina, Smit, Bart, Rautio, Jari, Koivistoinen, Heini, Jouhten, Paula, Lindfors, Erno, Wiebe, Marilyn, Penttilä, Merja, Saloheimo, Markku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3266662/
https://www.ncbi.nlm.nih.gov/pubmed/22185473
http://dx.doi.org/10.1186/1471-2164-12-616
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author Arvas, Mikko
Pakula, Tiina
Smit, Bart
Rautio, Jari
Koivistoinen, Heini
Jouhten, Paula
Lindfors, Erno
Wiebe, Marilyn
Penttilä, Merja
Saloheimo, Markku
author_facet Arvas, Mikko
Pakula, Tiina
Smit, Bart
Rautio, Jari
Koivistoinen, Heini
Jouhten, Paula
Lindfors, Erno
Wiebe, Marilyn
Penttilä, Merja
Saloheimo, Markku
author_sort Arvas, Mikko
collection PubMed
description BACKGROUND: Growth rate is a major determinant of intracellular function. However its effects can only be properly dissected with technically demanding chemostat cultivations in which it can be controlled. Recent work on Saccharomyces cerevisiae chemostat cultivations provided the first analysis on genome wide effects of growth rate. In this work we study the filamentous fungus Trichoderma reesei (Hypocrea jecorina) that is an industrial protein production host known for its exceptional protein secretion capability. Interestingly, it exhibits a low growth rate protein production phenotype. RESULTS: We have used transcriptomics and proteomics to study the effect of growth rate and cell density on protein production in chemostat cultivations of T. reesei. Use of chemostat allowed control of growth rate and exact estimation of the extracellular specific protein production rate (SPPR). We find that major biosynthetic activities are all negatively correlated with SPPR. We also find that expression of many genes of secreted proteins and secondary metabolism, as well as various lineage specific, mostly unknown genes are positively correlated with SPPR. Finally, we enumerate possible regulators and regulatory mechanisms, arising from the data, for this response. CONCLUSIONS: Based on these results it appears that in low growth rate protein production energy is very efficiently used primarly for protein production. Also, we propose that flux through early glycolysis or the TCA cycle is a more fundamental determining factor than growth rate for low growth rate protein production and we propose a novel eukaryotic response to this i.e. the lineage specific response (LSR).
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spelling pubmed-32666622012-01-27 Correlation of gene expression and protein production rate - a system wide study Arvas, Mikko Pakula, Tiina Smit, Bart Rautio, Jari Koivistoinen, Heini Jouhten, Paula Lindfors, Erno Wiebe, Marilyn Penttilä, Merja Saloheimo, Markku BMC Genomics Research Article BACKGROUND: Growth rate is a major determinant of intracellular function. However its effects can only be properly dissected with technically demanding chemostat cultivations in which it can be controlled. Recent work on Saccharomyces cerevisiae chemostat cultivations provided the first analysis on genome wide effects of growth rate. In this work we study the filamentous fungus Trichoderma reesei (Hypocrea jecorina) that is an industrial protein production host known for its exceptional protein secretion capability. Interestingly, it exhibits a low growth rate protein production phenotype. RESULTS: We have used transcriptomics and proteomics to study the effect of growth rate and cell density on protein production in chemostat cultivations of T. reesei. Use of chemostat allowed control of growth rate and exact estimation of the extracellular specific protein production rate (SPPR). We find that major biosynthetic activities are all negatively correlated with SPPR. We also find that expression of many genes of secreted proteins and secondary metabolism, as well as various lineage specific, mostly unknown genes are positively correlated with SPPR. Finally, we enumerate possible regulators and regulatory mechanisms, arising from the data, for this response. CONCLUSIONS: Based on these results it appears that in low growth rate protein production energy is very efficiently used primarly for protein production. Also, we propose that flux through early glycolysis or the TCA cycle is a more fundamental determining factor than growth rate for low growth rate protein production and we propose a novel eukaryotic response to this i.e. the lineage specific response (LSR). BioMed Central 2011-12-20 /pmc/articles/PMC3266662/ /pubmed/22185473 http://dx.doi.org/10.1186/1471-2164-12-616 Text en Copyright ©2011 Arvas et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Arvas, Mikko
Pakula, Tiina
Smit, Bart
Rautio, Jari
Koivistoinen, Heini
Jouhten, Paula
Lindfors, Erno
Wiebe, Marilyn
Penttilä, Merja
Saloheimo, Markku
Correlation of gene expression and protein production rate - a system wide study
title Correlation of gene expression and protein production rate - a system wide study
title_full Correlation of gene expression and protein production rate - a system wide study
title_fullStr Correlation of gene expression and protein production rate - a system wide study
title_full_unstemmed Correlation of gene expression and protein production rate - a system wide study
title_short Correlation of gene expression and protein production rate - a system wide study
title_sort correlation of gene expression and protein production rate - a system wide study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3266662/
https://www.ncbi.nlm.nih.gov/pubmed/22185473
http://dx.doi.org/10.1186/1471-2164-12-616
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