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Synthetic and systems biology for microbial production of commodity chemicals

合成生物学 生化工程 系统生物学 代谢工程 生产(经济) 计算机科学 商品化学品 可预测性 生物技术 计算生物学 风险分析(工程) 生物 工程类 数学 经济 催化作用 宏观经济学 统计 医学 生物化学
作者
Victor Chubukov,Aindrila Mukhopadhyay,Christopher J. Petzold,Jay D. Keasling,Hector Garcia Martin
出处
期刊:npj systems biology and applications [Springer Nature]
卷期号:2 (1) 被引量:173
标识
DOI:10.1038/npjsba.2016.9
摘要

The combination of synthetic and systems biology is a powerful framework to study fundamental questions in biology and produce chemicals of immediate practical application such as biofuels, polymers, or therapeutics. However, we cannot yet engineer biological systems as easily and precisely as we engineer physical systems. In this review, we describe the path from the choice of target molecule to scaling production up to commercial volumes. We present and explain some of the current challenges and gaps in our knowledge that must be overcome in order to bring our bioengineering capabilities to the level of other engineering disciplines. Challenges start at molecule selection, where a difficult balance between economic potential and biological feasibility must be struck. Pathway design and construction have recently been revolutionized by next-generation sequencing and exponentially improving DNA synthesis capabilities. Although pathway optimization can be significantly aided by enzyme expression characterization through proteomics, choosing optimal relative protein expression levels for maximum production is still the subject of heuristic, non-systematic approaches. Toxic metabolic intermediates and proteins can significantly affect production, and dynamic pathway regulation emerges as a powerful but yet immature tool to prevent it. Host engineering arises as a much needed complement to pathway engineering for high bioproduct yields; and systems biology approaches such as stoichiometric modeling or growth coupling strategies are required. A final, and often underestimated, challenge is the successful scale up of processes to commercial volumes. Sustained efforts in improving reproducibility and predictability are needed for further development of bioengineering.

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