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Dynamic modeling of lactic acid fermentation metabolism with Lactococcus lactis

메타 데이터

바이오화학분류
    • 바이오플라스틱
      1. 플라스틱
    • 바이오정밀화학
      1. 기타
    • 화장품용 기능성소재
      1. 계면활성제⁄증점제
    • 의료용 화학소재
      1. 치료제
      2. 식품첨가제
논문

Dynamic modeling of lactic acid fermentation metabolism with Lactococcus lactis

학술지

Journal of microbiology and biotechnology

저자명

Oh, Euh-Lim; Lu, Mingshou; Choi, Woo-Joo; Park, Chang-Hun; Oh, Han-Bin; Lee, Sang-Yup; Lee, Jin-Won

초록

A dynamic model of lactic acid fermentation using Lactococcus lactis was constructed, and a metabolic flux analysis (MFA) and metabolic control analysis (MCA) were performed to reveal an intensive metabolic understanding of lactic acid bacteria (LAB). The parameter estimation was conducted with COPASI software to construct a more accurate metabolic model. The experimental data used in the parameter estimation were obtained from an LC-MS/MS analysis and time-course simulation study. The MFA results were a reasonable explanation of the experimental data. Through the parameter estimation, the metabolic system of lactic acid bacteria can be thoroughly understood through comparisons with the original parameters. The coefficients derived from the MCA indicated that the reaction rate of L-lactate dehydrogenase was activated by fructose 1,6-bisphosphate and pyruvate, and pyruvate appeared to be a stronger activator of L-lactate dehydrogenase than fructose 1,6-bisphosphate. Additionally, pyruvate acted as an inhibitor to pyruvate kinase and the phosphotransferase system. Glucose 6-phosphate and phosphoenolpyruvate showed activation effects on pyruvate kinase. Hexose transporter was the strongest effector on the flux through L-lactate dehydrogenase. The concentration control coefficient (CCC) showed similar results to the flux control coefficient (FCC).

발행연도

2011

발행기관

The Korean Society for Microbiology and Biotechnology

ISSN

1017-7825

ISSN

1738-8872

21

2

페이지

pp.162-169

주제어

Lactic acid; chemostat; intracellular metabolite flux analysis; parameter estimation; metabolic control analysis; LC-MS

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논문; 2011-02-01

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