Argonne National Laboratory, Mathematics and Computer Science Division, Argonne, IL, United States.
Argonne National Laboratory, Mathematics and Computer Science Division, Argonne, IL, United States.
Plant Sci. 2018 Aug;273:61-70. doi: 10.1016/j.plantsci.2018.03.025. Epub 2018 Mar 30.
The vast diversity of plant natural products is a powerful indication of the biosynthetic capacity of plant metabolism. Synthetic biology seeks to capitalize on this ability by understanding and reconfiguring the biosynthetic pathways that generate this diversity to produce novel products with improved efficiency. Here we review the algorithms and databases that presently support the design and manipulation of metabolic pathways in plants, starting from metabolic models of native biosynthetic pathways, progressing to novel combinations of known reactions, and finally proposing new reactions that may be carried out by existing enzymes. We show how these tools are useful for proposing new pathways as well as identifying side reactions that may affect engineering goals.
植物天然产物的巨大多样性有力地表明了植物代谢的生物合成能力。合成生物学试图通过了解和重新配置产生这种多样性的生物合成途径，利用这种能力来生产具有更高效率的新型产品。在这里，我们回顾了目前支持植物代谢途径设计和操作的算法和数据库，从天然生物合成途径的代谢模型开始，到已知反应的新组合，最后提出可能由现有酶进行的新反应。我们展示了这些工具如何有助于提出新的途径以及识别可能影响工程目标的副反应。
