PubMed · 2026-05-14
Scientists are working to make plant genetic circuits—engineered gene networks that control how plants grow and respond—more predictable and reliable, moving from trial-and-error toward principled design guided by mathematical models and AI.
Most plant genetic circuits are still built through trial-and-error rather than predictive design, limiting how well they can be scaled or reused across different plant species.
Factors like a plant's developmental stage, its surrounding environment, and even where in the plant a gene sits dramatically affect how engineered circuits behave—making prediction hard.
Automation, high-throughput phenotyping, and AI-assisted modeling are identified as key tools needed to extract transferable design rules that work across species and field conditions.