Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA.
Department of Mathematics, Imperial College London, London, SW7 2AZ, UK.
J Ind Microbiol Biotechnol. 2018 Jul;45(7):535-543. doi: 10.1007/s10295-018-2013-9. Epub 2018 Jan 29.
Advances in metabolic engineering have led to the synthesis of a wide variety of valuable chemicals in microorganisms. The key to commercializing these processes is the improvement of titer, productivity, yield, and robustness. Traditional approaches to enhancing production use the "push-pull-block" strategy that modulates enzyme expression under static control. However, strains are often optimized for specific laboratory set-up and are sensitive to environmental fluctuations. Exposure to sub-optimal growth conditions during large-scale fermentation often reduces their production capacity. Moreover, static control of engineered pathways may imbalance cofactors or cause the accumulation of toxic intermediates, which imposes burden on the host and results in decreased production. To overcome these problems, the last decade has witnessed the emergence of a new technology that uses synthetic regulation to control heterologous pathways dynamically, in ways akin to regulatory networks found in nature. Here, we review natural metabolic control strategies and recent developments in how they inspire the engineering of dynamically regulated pathways. We further discuss the challenges of designing and engineering dynamic control and highlight how model-based design can provide a powerful formalism to engineer dynamic control circuits, which together with the tools of synthetic biology, can work to enhance microbial production.
代谢工程的进步使得在微生物中合成各种有价值的化学品成为可能。将这些工艺商业化的关键在于提高产量、生产率、产率和稳定性。传统的提高产量的方法是使用“推-拉-阻断”策略,在静态控制下调节酶的表达。然而,菌株通常是针对特定的实验室设置进行优化的,并且对环境波动敏感。在大规模发酵过程中暴露于亚最佳生长条件下往往会降低其生产能力。此外,工程途径的静态控制可能会使辅助因子失衡或导致有毒中间产物的积累,这会给宿主带来负担,导致产量下降。为了克服这些问题,过去十年见证了一种新技术的出现,该技术使用合成调控来动态控制异源途径,类似于自然界中发现的调控网络。在这里,我们回顾了自然代谢控制策略以及它们如何启发动态调控途径的工程设计的最新进展。我们进一步讨论了设计和工程动态控制的挑战,并强调了基于模型的设计如何为工程动态控制电路提供强大的形式主义,以及与合成生物学的工具一起,如何共同提高微生物的生产能力。