Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Nishio, Yousuke, Ogishima, Soichi, Ichikawa, Masao, Yamada, Yohei, Usuda, Yoshihiro, Masuda, Tadashi, Tanaka, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
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
_version_ 1782294230894379008
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
work_keys_str_mv AT nishioyousuke analysisoflglutamicacidfermentationbyusingadynamicmetabolicsimulationmodelofescherichiacoli
AT ogishimasoichi analysisoflglutamicacidfermentationbyusingadynamicmetabolicsimulationmodelofescherichiacoli
AT ichikawamasao analysisoflglutamicacidfermentationbyusingadynamicmetabolicsimulationmodelofescherichiacoli
AT yamadayohei analysisoflglutamicacidfermentationbyusingadynamicmetabolicsimulationmodelofescherichiacoli
AT usudayoshihiro analysisoflglutamicacidfermentationbyusingadynamicmetabolicsimulationmodelofescherichiacoli
AT masudatadashi analysisoflglutamicacidfermentationbyusingadynamicmetabolicsimulationmodelofescherichiacoli
AT tanakahiroshi analysisoflglutamicacidfermentationbyusingadynamicmetabolicsimulationmodelofescherichiacoli