Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, 14853, Ithaca, NY, USA.
Angew Chem Int Ed Engl. 2023 Sep 18;62(38):e202307995. doi: 10.1002/anie.202307995. Epub 2023 Aug 15.
Discovering natural product biosynthetic pathways of medicinal plants is challenging and laborious. Capturing the coregulation patterns of pathway enzymes, particularly transcriptomic regulation, has proven an effective method to accelerate pathway identification. In this study, we developed a yeast-based screening method to capture the protein-protein interactions (PPI) between plant enzymes, which is another useful pattern to complement the prevalent approach. Combining this method with plant multiomics analysis, we discovered four enzyme complexes and their organized pathways from kratom, an alkaloid-producing plant. The four pathway branches involved six enzymes, including a strictosidine synthase, a strictosidine β-D-glucosidase (MsSGD), and four medium-chain dehydrogenase/reductases (MsMDRs). PPI screening selected six MsMDRs interacting with MsSGD from 20 candidates predicted by multiomics analysis. Four of the six MsMDRs were then characterized as functional, indicating the high selectivity of the PPI screening method. This study highlights the opportunity of leveraging post-translational regulation features to discover novel plant natural product biosynthetic pathways.
发现药用植物天然产物生物合成途径具有挑战性和艰巨性。捕获途径酶的核心调控模式,特别是转录组调控,已被证明是加速途径鉴定的有效方法。在这项研究中,我们开发了一种基于酵母的筛选方法来捕获植物酶之间的蛋白质-蛋白质相互作用(PPI),这是另一种有用的模式,可以补充流行的方法。将这种方法与植物多组学分析相结合,我们从生物碱产生植物 Kratom 中发现了四个酶复合物及其组织化途径。四个途径分支涉及六种酶,包括裂环马钱子苷合酶、裂环马钱子苷 β-D-葡萄糖苷酶(MsSGD)和四个中链脱氢酶/还原酶(MsMDRs)。PPI 筛选从多组学分析预测的 20 个候选物中选择了与 MsSGD 相互作用的六个 MsMDRs 中的六个。然后对其中的四个 MsMDRs 进行了功能表征,表明 PPI 筛选方法具有高选择性。本研究强调了利用翻译后调控特征来发现新型植物天然产物生物合成途径的机会。