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基于基因组规模的葡萄酒发酵代谢建模。

Metabolic Modeling of Wine Fermentation at Genome Scale.

机构信息

Systems Biology Lab, AIMMS, Vrije Universiteit, Amsterdam, The Netherlands.

Laboratory of Biotechnology, Department of Chemical and Bioprocess Engineering, School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.

出版信息

Methods Mol Biol. 2022;2399:395-454. doi: 10.1007/978-1-0716-1831-8_16.

Abstract

Wine fermentation is an ancient biotechnological process mediated by different microorganisms such as yeast and bacteria. Understanding of the metabolic and physiological phenomena taking place during this process can be now attained at a genome scale with the help of metabolic models. In this chapter, we present a detailed protocol for modeling wine fermentation using genome-scale metabolic models. In particular, we illustrate how metabolic fluxes can be computed, optimized and interpreted, for both yeast and bacteria under winemaking conditions. We also show how nutritional requirements can be determined and simulated using these models in relevant test cases. This chapter introduces fundamental concepts and practical steps for applying flux balance analysis in wine fermentation, and as such, it is intended for a broad microbiology audience as well as for practitioners in the metabolic modeling field.

摘要

葡萄酒发酵是一种由不同微生物(如酵母和细菌)介导的古老生物技术过程。借助代谢模型,现在可以在基因组范围内了解该过程中发生的代谢和生理现象。在本章中,我们将提供一个使用基因组规模代谢模型对葡萄酒发酵进行建模的详细方案。特别是,我们说明了如何在酿酒条件下计算、优化和解释酵母和细菌的代谢通量。我们还展示了如何使用这些模型确定和模拟营养需求,并在相关的测试用例中进行模拟。本章介绍了在葡萄酒发酵中应用通量平衡分析的基本概念和实际步骤,因此,它不仅面向广大微生物学读者,也面向代谢建模领域的从业者。

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