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Analysis of l-glutamic acid fermentation by using a dynamic metabolic simulation model of Escherichia coli
BACKGROUND: Understanding the process of amino acid fermentation as a comprehensive system is a challenging task. Previously, we developed a literature-based dynamic simulation model, which included transcriptional regulation, transcription, translation, and enzymatic reactions related to glycolysis...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3851129/ https://www.ncbi.nlm.nih.gov/pubmed/24053676 http://dx.doi.org/10.1186/1752-0509-7-92 |
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author | Nishio, Yousuke Ogishima, Soichi Ichikawa, Masao Yamada, Yohei Usuda, Yoshihiro Masuda, Tadashi Tanaka, Hiroshi |
author_facet | Nishio, Yousuke Ogishima, Soichi Ichikawa, Masao Yamada, Yohei Usuda, Yoshihiro Masuda, Tadashi Tanaka, Hiroshi |
author_sort | Nishio, Yousuke |
collection | PubMed |
description | BACKGROUND: Understanding the process of amino acid fermentation as a comprehensive system is a challenging task. Previously, we developed a literature-based dynamic simulation model, which included transcriptional regulation, transcription, translation, and enzymatic reactions related to glycolysis, the pentose phosphate pathway, the tricarboxylic acid (TCA) cycle, and the anaplerotic pathway of Escherichia coli. During simulation, cell growth was defined such as to reproduce the experimental cell growth profile of fed-batch cultivation in jar fermenters. However, to confirm the biological appropriateness of our model, sensitivity analysis and experimental validation were required. RESULTS: We constructed an l-glutamic acid fermentation simulation model by removing sucAB, a gene encoding α-ketoglutarate dehydrogenase. We then performed systematic sensitivity analysis for l-glutamic acid production; the results of this process corresponded with previous experimental data regarding l-glutamic acid fermentation. Furthermore, it allowed us to predicted the possibility that accumulation of 3-phosphoglycerate in the cell would regulate the carbon flux into the TCA cycle and lead to an increase in the yield of l-glutamic acid via fermentation. We validated this hypothesis through a fermentation experiment involving a model l-glutamic acid-production strain, E. coli MG1655 ΔsucA in which the phosphoglycerate kinase gene had been amplified to cause accumulation of 3-phosphoglycerate. The observed increase in l-glutamic acid production verified the biologically meaningful predictive power of our dynamic metabolic simulation model. CONCLUSIONS: In this study, dynamic simulation using a literature-based model was shown to be useful for elucidating the precise mechanisms involved in fermentation processes inside the cell. Further exhaustive sensitivity analysis will facilitate identification of novel factors involved in the metabolic regulation of amino acid fermentation. |
format | Online Article Text |
id | pubmed-3851129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38511292013-12-13 Analysis of l-glutamic acid fermentation by using a dynamic metabolic simulation model of Escherichia coli Nishio, Yousuke Ogishima, Soichi Ichikawa, Masao Yamada, Yohei Usuda, Yoshihiro Masuda, Tadashi Tanaka, Hiroshi BMC Syst Biol Research Article BACKGROUND: Understanding the process of amino acid fermentation as a comprehensive system is a challenging task. Previously, we developed a literature-based dynamic simulation model, which included transcriptional regulation, transcription, translation, and enzymatic reactions related to glycolysis, the pentose phosphate pathway, the tricarboxylic acid (TCA) cycle, and the anaplerotic pathway of Escherichia coli. During simulation, cell growth was defined such as to reproduce the experimental cell growth profile of fed-batch cultivation in jar fermenters. However, to confirm the biological appropriateness of our model, sensitivity analysis and experimental validation were required. RESULTS: We constructed an l-glutamic acid fermentation simulation model by removing sucAB, a gene encoding α-ketoglutarate dehydrogenase. We then performed systematic sensitivity analysis for l-glutamic acid production; the results of this process corresponded with previous experimental data regarding l-glutamic acid fermentation. Furthermore, it allowed us to predicted the possibility that accumulation of 3-phosphoglycerate in the cell would regulate the carbon flux into the TCA cycle and lead to an increase in the yield of l-glutamic acid via fermentation. We validated this hypothesis through a fermentation experiment involving a model l-glutamic acid-production strain, E. coli MG1655 ΔsucA in which the phosphoglycerate kinase gene had been amplified to cause accumulation of 3-phosphoglycerate. The observed increase in l-glutamic acid production verified the biologically meaningful predictive power of our dynamic metabolic simulation model. CONCLUSIONS: In this study, dynamic simulation using a literature-based model was shown to be useful for elucidating the precise mechanisms involved in fermentation processes inside the cell. Further exhaustive sensitivity analysis will facilitate identification of novel factors involved in the metabolic regulation of amino acid fermentation. BioMed Central 2013-09-22 /pmc/articles/PMC3851129/ /pubmed/24053676 http://dx.doi.org/10.1186/1752-0509-7-92 Text en Copyright © 2013 Nishio 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 Nishio, Yousuke Ogishima, Soichi Ichikawa, Masao Yamada, Yohei Usuda, Yoshihiro Masuda, Tadashi Tanaka, Hiroshi Analysis of l-glutamic acid fermentation by using a dynamic metabolic simulation model of Escherichia coli |
title | Analysis of l-glutamic acid fermentation by using a dynamic metabolic simulation model of Escherichia coli |
title_full | Analysis of l-glutamic acid fermentation by using a dynamic metabolic simulation model of Escherichia coli |
title_fullStr | Analysis of l-glutamic acid fermentation by using a dynamic metabolic simulation model of Escherichia coli |
title_full_unstemmed | Analysis of l-glutamic acid fermentation by using a dynamic metabolic simulation model of Escherichia coli |
title_short | Analysis of l-glutamic acid fermentation by using a dynamic metabolic simulation model of Escherichia coli |
title_sort | analysis of l-glutamic acid fermentation by using a dynamic metabolic simulation model of escherichia coli |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3851129/ https://www.ncbi.nlm.nih.gov/pubmed/24053676 http://dx.doi.org/10.1186/1752-0509-7-92 |
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