3d International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems

Research Article

Metabolic flux balance analysis of an industrially useful microorganism Corynebacerium glutamicum by a genome-scale reconstructed model

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  • @INPROCEEDINGS{10.4108/ICST.BIONETICS2008.4704,
        author={Hiroshi Shimizu and Yohei Shinfuku and Masahiro Sono and Chikara Furusawa and Takashi Hirasawa},
        title={Metabolic flux balance analysis of an industrially useful microorganism Corynebacerium glutamicum by a genome-scale reconstructed model},
        proceedings={3d International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems},
        publisher={ICST},
        proceedings_a={BIONETICS},
        year={2010},
        month={5},
        keywords={Genome Scale Model Flux Balance Analysis Metabolic Network},
        doi={10.4108/ICST.BIONETICS2008.4704}
    }
    
  • Hiroshi Shimizu
    Yohei Shinfuku
    Masahiro Sono
    Chikara Furusawa
    Takashi Hirasawa
    Year: 2010
    Metabolic flux balance analysis of an industrially useful microorganism Corynebacerium glutamicum by a genome-scale reconstructed model
    BIONETICS
    ICST
    DOI: 10.4108/ICST.BIONETICS2008.4704
Hiroshi Shimizu1,*, Yohei Shinfuku2,*, Masahiro Sono2,*, Chikara Furusawa2,*, Takashi Hirasawa3,*
  • 1: Department of Bioinformatic Engineering, Osaka University 2-1 Yamadaoka Suita, Osaka 565-0871 Japan +81-6-6879-7446
  • 2: Department of Bioinformatic Engineering, Osaka University 2-1 Yamadaoka Suita, Osaka 565-0871 Japan +81-6-6879-7432
  • 3: Department of Bioinformatic Engineering, Osaka University 2-1 Yamadaoka Suita, Osaka 565-0871 Japan +81-6-6879-7431
*Contact email: shimizu@ist.osaka-u.ac.jp, yohei_shinfuku@bio.eng.osaka-u.ac.jp, masahiro_sono@bio.eng.osaka-u.ac.jp, furusawa@ist.osaka-u.ac.jp, hirasawa@ist.osaka-u.ac.jp

Abstract

Microorganisms have multi-hierarchical networks such as gene, protein and metabolites in the cells. When cells encounter changes in environmental conditions, they try to adapt themselves to new environmental conditions by changing the activities of the intracellular networks. We observed experimentally different patterns of metabolic fluxes (flows) under different conditions. In silico genome-scale metabolic models allow us to analyze characteristics of metabolic systems of organisms. In this study, we newly reconstructed a genome-scale metabolic model of an industrially useful microorganism, Corynebacterium glutamicum, based on genome sequence annotation and physiological data. The metabolic characteristics were analyzed using flux balance analysis (FBA). We simulated the metabolic fluxes both under aerobic and oxygen deprivation conditions. The predicted growth rates and production rates of organic acids as lactate and succinate exhibited good agreement with experimental data reported in the literatures. The genome-scale metabolic model provides a better understanding for evaluating metabolic capabilities and predicting metabolic characteristics of C. glutamicum. This can be a basis for in silico analyses of metabolic network.