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Protein production in Escherichia coli is guided by the trade-off between intracellular substrate availability and energy cost

BACKGROUND: In vivo protein formation is a crucial part of cellular life. The process needs to adapt to growth conditions and is exploited for the production of technical and pharmaceutical proteins in microbes such as Escherichia coli. Accordingly, the elucidation of basic regulatory mechanisms con...

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Autores principales: Nieß, Alexander, Siemann-Herzberg, Martin, Takors, Ralf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337870/
https://www.ncbi.nlm.nih.gov/pubmed/30654806
http://dx.doi.org/10.1186/s12934-019-1057-5
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author Nieß, Alexander
Siemann-Herzberg, Martin
Takors, Ralf
author_facet Nieß, Alexander
Siemann-Herzberg, Martin
Takors, Ralf
author_sort Nieß, Alexander
collection PubMed
description BACKGROUND: In vivo protein formation is a crucial part of cellular life. The process needs to adapt to growth conditions and is exploited for the production of technical and pharmaceutical proteins in microbes such as Escherichia coli. Accordingly, the elucidation of basic regulatory mechanisms controlling the in vivo translation machinery is of primary interest, not only to improve heterologous protein production but also to elucidate fundamental regulation regimens of cellular growth. RESULTS: The current modeling analysis elucidates the impact of diffusion for the stochastic supply of crucial substrates such as the elongation factor EFTu, and tRNA species, all regarded as key elements for ensuring optimum transcriptional elongation. Together with the consideration of cellular ribosome numbers, their impact on the proper functioning of the translation machinery was investigated under different in vivo and in vitro conditions and utilizing the formation of non-native GFP and native EFTu as target proteins. The results show that translational elongation was diffusion limited. However, this effect was much more pronounced for the translation of non-native proteins than for the formation of codon-optimized native proteins. CONCLUSIONS: Cellular ATP requirements constrain the options of improving protein production. In the case of non-native protein sequences, an optimized tRNA supply may be the most economical solution, as cells necessarily have to invest in ATP-costly ribosome synthesis to boost translation and increase growth rates.
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spelling pubmed-63378702019-01-23 Protein production in Escherichia coli is guided by the trade-off between intracellular substrate availability and energy cost Nieß, Alexander Siemann-Herzberg, Martin Takors, Ralf Microb Cell Fact Research BACKGROUND: In vivo protein formation is a crucial part of cellular life. The process needs to adapt to growth conditions and is exploited for the production of technical and pharmaceutical proteins in microbes such as Escherichia coli. Accordingly, the elucidation of basic regulatory mechanisms controlling the in vivo translation machinery is of primary interest, not only to improve heterologous protein production but also to elucidate fundamental regulation regimens of cellular growth. RESULTS: The current modeling analysis elucidates the impact of diffusion for the stochastic supply of crucial substrates such as the elongation factor EFTu, and tRNA species, all regarded as key elements for ensuring optimum transcriptional elongation. Together with the consideration of cellular ribosome numbers, their impact on the proper functioning of the translation machinery was investigated under different in vivo and in vitro conditions and utilizing the formation of non-native GFP and native EFTu as target proteins. The results show that translational elongation was diffusion limited. However, this effect was much more pronounced for the translation of non-native proteins than for the formation of codon-optimized native proteins. CONCLUSIONS: Cellular ATP requirements constrain the options of improving protein production. In the case of non-native protein sequences, an optimized tRNA supply may be the most economical solution, as cells necessarily have to invest in ATP-costly ribosome synthesis to boost translation and increase growth rates. BioMed Central 2019-01-17 /pmc/articles/PMC6337870/ /pubmed/30654806 http://dx.doi.org/10.1186/s12934-019-1057-5 Text en © The Author(s) 2019 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
Nieß, Alexander
Siemann-Herzberg, Martin
Takors, Ralf
Protein production in Escherichia coli is guided by the trade-off between intracellular substrate availability and energy cost
title Protein production in Escherichia coli is guided by the trade-off between intracellular substrate availability and energy cost
title_full Protein production in Escherichia coli is guided by the trade-off between intracellular substrate availability and energy cost
title_fullStr Protein production in Escherichia coli is guided by the trade-off between intracellular substrate availability and energy cost
title_full_unstemmed Protein production in Escherichia coli is guided by the trade-off between intracellular substrate availability and energy cost
title_short Protein production in Escherichia coli is guided by the trade-off between intracellular substrate availability and energy cost
title_sort protein production in escherichia coli is guided by the trade-off between intracellular substrate availability and energy cost
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6337870/
https://www.ncbi.nlm.nih.gov/pubmed/30654806
http://dx.doi.org/10.1186/s12934-019-1057-5
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