Plant natural product biosynthesis through metabolon engineering
Caibin Zhang1,2, Jingcheng Shi1,3, Rui Deng1,2
1State Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, The Chinese Academy of Sciences, Beijing, 100101, China.
Plant metabolons, which are multienzyme complexes, control metabolic pathways. New engineering strategies enable precise control of these complexes for improved natural product synthesis and safer intermediate handling.
Area of Science:
- Plant biochemistry and molecular biology.
- Metabolic engineering and synthetic biology.
Background:
- Metabolons, or multienzyme complexes, are increasingly recognized for their role in regulating plant metabolic pathways.
- These complexes facilitate substrate channeling, protect reactive intermediates, and enable efficient metabolic flux control.
Purpose of the Study:
- To define criteria for identifying true metabolons and synthesize evidence for their role across various plant pathways.
- To present an integrated workflow for studying metabolon composition, dynamics, and function in vivo.
- To outline engineering strategies for creating programmable metabolons for biotechnological applications.
Main Methods:
- Affinity purification mass spectrometry (AP-MS)/Co-immunoprecipitation (Co-IP) and proximity labeling to determine complex composition.
- Bimolecular fluorescence complementation (BiFC)/Förster resonance energy transfer (FRET)/Split-luciferase assays to study protein-protein interactions and dynamics.
- Isotope-dilution metabolomics to analyze in vivo substrate channeling.
- AI-assisted generative models for designing enzyme binders and interfaces.
Main Results:
- Evidence for metabolon involvement in cyanogenic glucoside, phenylpropanoid/flavonoid, alkaloid, terpenoid, polyamine, sporopollenin, and auxin pathways was synthesized.
- An integrated workflow combining multiple techniques was presented for comprehensive metabolon analysis.
- Design rules for engineering metabolons, including membrane anchoring and compartment targeting, were distilled.
- AI was proposed for optimizing enzyme arrangement within metabolons.
Conclusions:
- Metabolons represent a powerful, deployable technology for programmable metabolic flux in plants.
- Engineering metabolons can lead to safer handling of reactive intermediates and increased production of valuable natural products.
- This work provides a framework for advancing metabolon research and application in plant biotechnology.
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