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Modeling and simulation of the redox regulation of the metabolism in Escherichia coli at different oxygen concentrations

BACKGROUND: Microbial production of biofuels and biochemicals from renewable feedstocks has received considerable recent attention from environmental protection and energy production perspectives. Many biofuels and biochemicals are produced by fermentation under oxygen-limited conditions following i...

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Autores principales: Matsuoka, Yu, Kurata, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5512849/
https://www.ncbi.nlm.nih.gov/pubmed/28725263
http://dx.doi.org/10.1186/s13068-017-0867-0
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author Matsuoka, Yu
Kurata, Hiroyuki
author_facet Matsuoka, Yu
Kurata, Hiroyuki
author_sort Matsuoka, Yu
collection PubMed
description BACKGROUND: Microbial production of biofuels and biochemicals from renewable feedstocks has received considerable recent attention from environmental protection and energy production perspectives. Many biofuels and biochemicals are produced by fermentation under oxygen-limited conditions following initiation of aerobic cultivation to enhance the cell growth rate. Thus, it is of significant interest to investigate the effect of dissolved oxygen concentration on redox regulation in Escherichia coli, a particularly popular cellular factory due to its high growth rate and well-characterized physiology. For this, the systems biology approach such as modeling is powerful for the analysis of the metabolism and for the design of microbial cellular factories. RESULTS: Here, we developed a kinetic model that describes the dynamics of fermentation by taking into account transcription factors such as ArcA/B and Fnr, respiratory chain reactions and fermentative pathways, and catabolite regulation. The hallmark of the kinetic model is its ability to predict the dynamics of metabolism at different dissolved oxygen levels and facilitate the rational design of cultivation methods. The kinetic model was verified based on the experimental data for a wild-type E. coli strain. The model reasonably predicted the metabolic characteristics and molecular mechanisms of fnr and arcA gene-knockout mutants. Moreover, an aerobic–microaerobic dual-phase cultivation method for lactate production in a pfl-knockout mutant exhibited promising yield and productivity. CONCLUSIONS: It is quite important to understand metabolic regulation mechanisms from both scientific and engineering points of view. In particular, redox regulation in response to oxygen limitation is critically important in the practical production of biofuel and biochemical compounds. The developed model can thus be used as a platform for designing microbial factories to produce a variety of biofuels and biochemicals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13068-017-0867-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-55128492017-07-19 Modeling and simulation of the redox regulation of the metabolism in Escherichia coli at different oxygen concentrations Matsuoka, Yu Kurata, Hiroyuki Biotechnol Biofuels Research BACKGROUND: Microbial production of biofuels and biochemicals from renewable feedstocks has received considerable recent attention from environmental protection and energy production perspectives. Many biofuels and biochemicals are produced by fermentation under oxygen-limited conditions following initiation of aerobic cultivation to enhance the cell growth rate. Thus, it is of significant interest to investigate the effect of dissolved oxygen concentration on redox regulation in Escherichia coli, a particularly popular cellular factory due to its high growth rate and well-characterized physiology. For this, the systems biology approach such as modeling is powerful for the analysis of the metabolism and for the design of microbial cellular factories. RESULTS: Here, we developed a kinetic model that describes the dynamics of fermentation by taking into account transcription factors such as ArcA/B and Fnr, respiratory chain reactions and fermentative pathways, and catabolite regulation. The hallmark of the kinetic model is its ability to predict the dynamics of metabolism at different dissolved oxygen levels and facilitate the rational design of cultivation methods. The kinetic model was verified based on the experimental data for a wild-type E. coli strain. The model reasonably predicted the metabolic characteristics and molecular mechanisms of fnr and arcA gene-knockout mutants. Moreover, an aerobic–microaerobic dual-phase cultivation method for lactate production in a pfl-knockout mutant exhibited promising yield and productivity. CONCLUSIONS: It is quite important to understand metabolic regulation mechanisms from both scientific and engineering points of view. In particular, redox regulation in response to oxygen limitation is critically important in the practical production of biofuel and biochemical compounds. The developed model can thus be used as a platform for designing microbial factories to produce a variety of biofuels and biochemicals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13068-017-0867-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-14 /pmc/articles/PMC5512849/ /pubmed/28725263 http://dx.doi.org/10.1186/s13068-017-0867-0 Text en © The Author(s) 2017 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
Matsuoka, Yu
Kurata, Hiroyuki
Modeling and simulation of the redox regulation of the metabolism in Escherichia coli at different oxygen concentrations
title Modeling and simulation of the redox regulation of the metabolism in Escherichia coli at different oxygen concentrations
title_full Modeling and simulation of the redox regulation of the metabolism in Escherichia coli at different oxygen concentrations
title_fullStr Modeling and simulation of the redox regulation of the metabolism in Escherichia coli at different oxygen concentrations
title_full_unstemmed Modeling and simulation of the redox regulation of the metabolism in Escherichia coli at different oxygen concentrations
title_short Modeling and simulation of the redox regulation of the metabolism in Escherichia coli at different oxygen concentrations
title_sort modeling and simulation of the redox regulation of the metabolism in escherichia coli at different oxygen concentrations
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5512849/
https://www.ncbi.nlm.nih.gov/pubmed/28725263
http://dx.doi.org/10.1186/s13068-017-0867-0
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