Knowledge-driven approaches for engineering complex metabolic pathways in plants

- Large-scale data mining provides valuable information about unknown metabolic steps.
- Combinatorial transformation allows different metabolic interventions to be tested.
- Models can be built to predict the most suitable targeted intervention points.
- Multigene transformation allows more complex pathways to be engineered.
- Genome editing allows the plant genome to be modified in a more predictable manner.