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Article Dans Une Revue Biotechnology and Bioengineering Année : 2020

A predictive dynamic yeast model based on component, energy, and electron carrier balances

Résumé

The present study describes a novel yeast model for the prediction of yeast fermentation. The proposed model considers the possible metabolic pathways of yeast. For each pathway, the time evolution of components, energy (ATP/ADP), and electron carriers (NAD+/NADH) are expressed with limitation factors for all quantities consumed by each respective pathway. In this manner, the model can predict partition of these pathways based on the growth conditions and their evolution over time. Several biological pathways and their stoichiometric coefficients are well-known from literature. It is important to note that most of kinetics parameters have no effect since actual kinetics are controlled by balance of limiting factors. The few remaining parameters were adjusted and compared with the literature when the dataset was available. The model fits our experimental data from yeast fermentation on glucose in non-aerated batch system. The predictive ability of the model and its capacity to represent the intensity of each pathway over time facilitate an improved understanding of interactions between the pathways. The key role of energy (ATP) and electron carrier (NAD+) to trigger the different metabolic pathways during yeast growth is highlighted, while involvement of mitochondrial respiration not being associated with the TCA cycle is also shown.

Domaines

Biotechnologies
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Dates et versions

hal-03140205 , version 1 (12-02-2021)

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Angéla La, Huan Du, Behnam Taidi, Patrick Perre. A predictive dynamic yeast model based on component, energy, and electron carrier balances. Biotechnology and Bioengineering, 2020, 117 (9), pp.2728-2740. ⟨10.1002/bit.27442⟩. ⟨hal-03140205⟩
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