Wu Yinan, Liu Chang, Gong Franklin L, Li Sijin
Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, 14853, USA.
bioRxiv. 2023 Jan 17:2023.01.16.524293. doi: 10.1101/2023.01.16.524293.
Discovering natural product biosynthetic pathways from medicinal plants is challenging and laborious, largely due to the complexity of the transcriptomics-driven pathway prediction process. Here we developed a novel approach that captures the protein-level connections between enzymes for pathway discovery with improved accuracy. We proved that heterologous protein-protein interaction screening in yeast enabled the efficient discovery of both dynamic plant enzyme complexes and the pathways they organize. This approach discovered complexes and pathways in the monoterpene indole alkaloid metabolism of a medicinal plant, kratom with high success rate. Screening using a strictosidine β-D-glucosidase (MsSGD1) against 19 medium-chain dehydrogenase/reductases (MsMDRs) identified five MsSGD1-MsMDR complexes. Three out of the five interacting MsMDRs were then proven functional, while the remaining 14 non-interacting candidates did not show obvious activities. The work discovered three branched pathways by combining transcriptomics, metabolomics, and heterologous PPI screening and demonstrated a new plant pathway discovery strategy.
从药用植物中发现天然产物生物合成途径具有挑战性且费力,这主要是由于转录组学驱动的途径预测过程很复杂。在此,我们开发了一种新方法,该方法通过捕捉酶之间的蛋白质水平连接来发现途径,从而提高准确性。我们证明,在酵母中进行异源蛋白质 - 蛋白质相互作用筛选能够高效发现动态植物酶复合物及其组织的途径。这种方法在药用植物 kratom 的单萜吲哚生物碱代谢中成功发现了复合物和途径。使用一种严格糖苷 β - D - 葡萄糖苷酶(MsSGD1)针对 19 种中链脱氢酶/还原酶(MsMDRs)进行筛选,鉴定出五个 MsSGD1 - MsMDR 复合物。然后证明五个相互作用的 MsMDRs 中有三个具有功能,而其余 14 个非相互作用的候选物未表现出明显活性。这项工作通过结合转录组学、代谢组学和异源蛋白质 - 蛋白质相互作用筛选发现了三条分支途径,并展示了一种新的植物途径发现策略。