Lynch Michael D
Duke University, Department of Biomedical Engineering, Pratt School of Engineering, Room 1427, CIEMAS, 101 Science Drive, Campus Box 90281, Durham, NC 27708-0281, United States.
Curr Opin Biotechnol. 2016 Apr;38:106-11. doi: 10.1016/j.copbio.2016.01.009. Epub 2016 Feb 10.
Advances in synthetic biology and metabolic engineering offer the promise of next generation bioprocesses to produce numerous products including specialty and bulk chemicals and even biofuels sustainably from renewable feedstocks. A primary challenge is the optimization of product flux, within a much larger and complex metabolic network. While simple gene deletion methods can be used in the case of non-essential byproduct pathways, more sophisticated approaches are required when competitive fluxes are essential to host cellular functions. Engineering essential metabolic networks has been traditionally off-limits to metabolic engineers. Newer approaches to be reviewed include the rebalancing or rewiring of the metabolic network by tuning the levels of essential enzymes and the use of dynamic metabolic control strategies to conditionally reduce essential competitive fluxes.
合成生物学和代谢工程学的进展为下一代生物工艺带来了希望,有望从可再生原料中可持续地生产包括特种化学品、大宗化学品甚至生物燃料在内的众多产品。一个主要挑战是在更大、更复杂的代谢网络中优化产物通量。虽然在非必需副产物途径的情况下可以使用简单的基因删除方法,但当竞争性通量对宿主细胞功能至关重要时,则需要更复杂的方法。传统上,代谢工程师无法对必需代谢网络进行工程改造。本文将综述的新方法包括通过调节必需酶的水平来重新平衡或重新连接代谢网络,以及使用动态代谢控制策略来有条件地减少必需的竞争性通量。