Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, USA.
Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, USA.
Curr Opin Biotechnol. 2020 Oct;65:156-162. doi: 10.1016/j.copbio.2020.02.015. Epub 2020 Apr 12.
Metabolic engineering seeks to reprogram cells to efficiently produce value-added chemicals. Traditionally, this is achieved by overexpressing the production pathway and/or knocking out competing endogenous pathways. However, limitations in some pathways are more effectively addressed through dynamic metabolic flux control to favor different cellular objectives over the course of the fermentation. Dynamic control circuits can autonomously actuate changes in metabolic fluxes in response to changing fermentation conditions, cell density, or metabolite concentrations. In this review, we discuss recent studies focused on multiplexed autonomous strategies which (1) combine regulatory circuits to control metabolic flux at multiple nodes or (2) respond to more than one input signal. These strategies have the potential to address challenging pathway scenarios, actuate more complex response profiles, and improve the specificity of the criteria that actuate the dynamic response.
代谢工程旨在重新编程细胞以高效生产增值化学品。传统上,这是通过过表达生产途径和/或敲除竞争的内源性途径来实现的。然而,通过动态代谢通量控制来解决某些途径的局限性更有效,以在发酵过程中有利于不同的细胞目标。动态控制回路可以自主地响应发酵条件、细胞密度或代谢物浓度的变化,在代谢通量中引起变化。在这篇综述中,我们讨论了最近的研究集中在多重自主策略上,这些策略(1)结合调节回路来控制多个节点的代谢通量,或(2)响应一个以上的输入信号。这些策略有可能解决具有挑战性的途径方案,引起更复杂的响应谱,并提高触发动态响应的标准的特异性。