Metabolic Modeling of Saccharomyces cerevisiae Using the Optimal Control of Homeostasis: A Cybernetic Model Definition

被引:16
作者
Giuseppin, Marco L. F. [1 ]
van Riel, Natal A. W. [2 ]
机构
[1] Unilever Res Labs Vlaardingen, Biotechnol Grp, NL-3133 AT Vlaardingen, Netherlands
[2] Univ Utrecht, Dept Mol Cell Biol, Biomembrane Inst, NL-3584 CH Utrecht, Netherlands
关键词
D O I
10.1006/mben.1999.0134
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
A model is presented to describe the observed behavior of microorganisms that aim at metabolic homeostasis while growing and adapting to their environment in an optimal way. The cellular metabolism is seen as a network with a multiple controller system with both feedback and feedforward control, i.e., a model based on a dynamic optimal metabolic control. The dynamic network consists of aggregated pathways, each having a control setpoint for the metabolic states at a given growth rate. This set of strategies of the cell forms a true cybernetic model with a minimal number of assumptions. The cellular strategies and constraints were derived from metabolic flux analysis using an identified, biochemically relevant, stoichiometry matrix derived from experimental data on the cellular composition of continuous cultures of Saccharomyces cerevisiae. Based on these data a cybernetic model was developed to study its dynamic behavior. The growth rate of the cell is determined by the structural compounds and fluxes of compounds related to central metabolism. In contrast to many other cybernetic models, the minimal model does not consist of any assumed internal kinetic parameters or interactions. This necessitates the use of a stepwise integration with an optimization of the fluxes at every time interval. Some examples of the behavior of this model are given with respect to steady states and pulse responses. This model is very suitable for describing semiquantitatively dynamics of global cellular metabolism and may form a useful framework for including structured and more detailed kinetic models. (C) 2000 Academic Press
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页码:14 / 33
页数:20
相关论文
共 46 条
[21]   CYBERNETIC MODELING OF MICROBIAL-GROWTH ON MULTIPLE SUBSTRATES [J].
KOMPALA, DS ;
RAMKRISHNA, D ;
TSAO, GT .
BIOTECHNOLOGY AND BIOENGINEERING, 1984, 26 (11) :1272-1281
[22]   Flux calculation using metabolic control constraints [J].
Liao, JC ;
Delgado, J .
BIOTECHNOLOGY PROGRESS, 1998, 14 (04) :554-560
[23]   RECENT DEVELOPMENTS IN MEASUREMENT OF NUCLEIC ACIDS IN BIOLOGICAL MATERIALS [J].
MUNRO, HN ;
FLECK, A .
ANALYST, 1966, 91 (1079) :78-&
[24]   Chaos in glycolysis [J].
Nielsen, K ;
Sorensen, PG ;
Hynne, F .
JOURNAL OF THEORETICAL BIOLOGY, 1997, 186 (03) :303-306
[25]  
Rizzi M, 1997, BIOTECHNOL BIOENG, V55, P592
[26]  
Roels J.A., 1983, ENERGETICS KINETICS
[27]   CONSTRAINTS AMONG MOLECULAR AND SYSTEMIC PROPERTIES - IMPLICATIONS FOR PHYSIOLOGICAL GENETICS [J].
SAVAGEAU, MA ;
SORRIBAS, A .
JOURNAL OF THEORETICAL BIOLOGY, 1989, 141 (01) :93-115
[28]   NETWORK ANALYSIS OF INTERMEDIARY METABOLISM USING LINEAR OPTIMIZATION .1. DEVELOPMENT OF MATHEMATICAL FORMALISM [J].
SAVINELL, JM ;
PALSSON, BO .
JOURNAL OF THEORETICAL BIOLOGY, 1992, 154 (04) :421-454
[29]   NETWORK ANALYSIS OF INTERMEDIARY METABOLISM USING LINEAR OPTIMIZATION .2. INTERPRETATION OF HYBRIDOMA CELL-METABOLISM [J].
SAVINELL, JM ;
PALSSON, BO .
JOURNAL OF THEORETICAL BIOLOGY, 1992, 154 (04) :455-473
[30]  
SCHULZE U, 1995, THESIS TU DENMARK