Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China; Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China; Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China.
Metab Eng. 2019 Dec;56:142-153. doi: 10.1016/j.ymben.2019.09.001. Epub 2019 Sep 3.
The utilization of one-carbon (C) assimilation pathways to produce chemicals and fuels from low-cost C compounds could greatly reduce the substrate-related production costs, and would also alleviate the pressure of the resource supply for bio-manufacturing. However, the natural C assimilation pathways normally involve ATP consumption or the loss of carbon resources as CO, resulting in low product yields, making the design of novel pathways highly pertinent. Here we present several new ATP-independent and carbon-conserving C assimilation cycles with 100% theoretical carbon yield, which were discovered by computational analysis of metabolic reaction set with 6578 natural reactions from MetaCyc database and 73 computationally predicted aldolase reactions from ATLAS database. Then, kinetic evaluation of these cycles was conducted and the cycles without kinetic traps were chosen for further experimental verification. Finally, we used the two engineered enzymes Gals and TalB for the artificial reactions to construct a novel C assimilation pathway in vitro and optimized the pathway to achieve 88% carbon yield. These results demonstrate the usefulness of computational design in finding novel metabolic pathways for the efficient utilization of C compounds and shedding light on other promising pathways.
利用一碳(C)同化途径将低成本 C 化合物转化为化学品和燃料,可以大大降低底物相关的生产成本,也可以缓解生物制造的资源供应压力。然而,天然的 C 同化途径通常需要消耗 ATP 或损失碳资源作为 CO,导致产物产率低,因此设计新的途径非常重要。在这里,我们通过对 MetaCyc 数据库中 6578 个天然反应和 ATLAS 数据库中 73 个计算预测的醛缩酶反应的代谢反应集进行计算分析,发现了几个新的、无 ATP 依赖和碳守恒的 C 同化循环,其理论碳产率为 100%。然后,对这些循环进行了动力学评估,并选择没有动力学陷阱的循环进行进一步的实验验证。最后,我们使用两个工程酶 Gals 和 TalB 进行人工反应,在体外构建了一种新的 C 同化途径,并对该途径进行了优化,以实现 88%的碳产率。这些结果表明,计算设计在寻找高效利用 C 化合物的新型代谢途径方面非常有用,并为其他有前途的途径提供了启示。