Microbial production can be advantageous over the extraction of phytoterpenoids from natural plant sources, but it remains challenging to rationally and rapidly access efficient pathway variants. Previous engineering attempts mainly focused on the mevalonic acid (MVA) or methyl-d-erythritol phosphate (MEP) pathways responsible for the generation of precursors for terpenoids biosynthesis, and potential interactions between diterpenoids synthases were unexplored. Miltiradiene, the product of the stepwise conversion of (E,E,E)-geranylgeranyl diphosphate (GGPP) catalyzed by diterpene synthases SmCPS and SmKSL, has recently been identified as the precursor to tanshionones, a group of abietane-type norditerpenoids rich in the Chinese medicinal herb Salvia miltiorrhiza . Here, we present the modular pathway engineering (MOPE) strategy and its application for rapid assembling synthetic miltiradiene pathways in the yeast Saccharomyces cerevisiae . We predicted and analyzed the molecular interactions between SmCPS and SmKSL, and engineered their active sites into close proximity for enhanced metabolic flux channeling to miltiradiene biosynthesis by constructing protein fusions. We show that the fusion of SmCPS and SmKSL, as well as the fusion of BTS1 (GGPP synthase) and ERG20 (farnesyl diphosphate synthase), led to significantly improved miltiradiene production and reduced byproduct accumulation. The MOPE strategy facilitated a comprehensive evaluation of pathway variants involving multiple genes, and, as a result, our best pathway with the diploid strain YJ2X reached miltiradiene titer of 365 mg/L in a 15-L bioreactor culture. These results suggest that terpenoids synthases and the precursor supplying enzymes should be engineered systematically to enable an efficient microbial production of phytoterpenoids.
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Evidence ID | Analyze ID | Gene/Complex | Systematic Name/Complex Accession | Qualifier | Gene Ontology Term ID | Gene Ontology Term | Aspect | Annotation Extension | Evidence | Method | Source | Assigned On | Reference |
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Evidence ID | Analyze ID | Gene | Gene Systematic Name | Phenotype | Experiment Type | Experiment Type Category | Mutant Information | Strain Background | Chemical | Details | Reference |
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Evidence ID | Analyze ID | Gene | Gene Systematic Name | Disease Ontology Term | Disease Ontology Term ID | Qualifier | Evidence | Method | Source | Assigned On | Reference |
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Evidence ID | Analyze ID | Regulator | Regulator Systematic Name | Target | Target Systematic Name | Direction | Regulation of | Happens During | Regulator Type | Direction | Regulation Of | Happens During | Method | Evidence | Strain Background | Reference |
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Site | Modification | Modifier | Source | Reference |
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Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Allele | Assay | Annotation | Action | Phenotype | SGA score | P-value | Source | Reference | Note |
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Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Assay | Annotation | Action | Modification | Source | Reference | Note |
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Complement ID | Locus ID | Gene | Species | Gene ID | Strain background | Direction | Details | Source | Reference |
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Evidence ID | Analyze ID | Dataset | Description | Keywords | Number of Conditions | Reference |
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Evidence ID | Analyze ID | File | Description |
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