Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
FEMS Yeast Res. 2012 Mar;12(2):228-48. doi: 10.1111/j.1567-1364.2011.00779.x. Epub 2012 Jan 10.
The generation of novel yeast cell factories for production of high-value industrial biotechnological products relies on three metabolic engineering principles: design, construction, and analysis. In the last two decades, strong efforts have been put on developing faster and more efficient strategies and/or technologies for each one of these principles. For design and construction, three major strategies are described in this review: (1) rational metabolic engineering; (2) inverse metabolic engineering; and (3) evolutionary strategies. Independent of the selected strategy, the process of designing yeast strains involves five decision points: (1) choice of product, (2) choice of chassis, (3) identification of target genes, (4) regulating the expression level of target genes, and (5) network balancing of the target genes. At the construction level, several molecular biology tools have been developed through the concept of synthetic biology and applied for the generation of novel, engineered yeast strains. For comprehensive and quantitative analysis of constructed strains, systems biology tools are commonly used and using a multi-omics approach. Key information about the biological system can be revealed, for example, identification of genetic regulatory mechanisms and competitive pathways, thereby assisting the in silico design of metabolic engineering strategies for improving strain performance. Examples on how systems and synthetic biology brought yeast metabolic engineering closer to industrial biotechnology are described in this review, and these examples should demonstrate the potential of a systems-level approach for fast and efficient generation of yeast cell factories.
设计、构建和分析。在过去的二十年中,人们在这三个原则中的每一个方面都投入了巨大的努力,以开发更快、更有效的策略和/或技术。对于设计和构建,本文综述了三种主要策略:(1)理性代谢工程;(2)反向代谢工程;(3)进化策略。无论选择哪种策略,酵母菌株的设计过程都涉及五个决策点:(1)选择产品;(2)选择底盘;(3)鉴定目标基因;(4)调控目标基因的表达水平;(5)目标基因网络的平衡。在构建水平上,通过合成生物学的概念,已经开发了几种分子生物学工具,并应用于新型工程酵母菌株的构建。为了对构建菌株进行全面和定量的分析,通常使用系统生物学工具,并采用多组学方法。可以揭示有关生物系统的关键信息,例如遗传调控机制和竞争途径的鉴定,从而有助于通过计算设计来改进代谢工程策略,以提高菌株的性能。本文综述了系统和合成生物学如何使酵母代谢工程更接近工业生物技术的实例,这些实例应该展示了系统级方法在快速有效地构建酵母细胞工厂方面的潜力。