Advancing programmable genetic computation to control plant gene activity

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Plants can sense diverse internal and external conditions and integrate them to appropriately tune their response and maximize fitness. Plant biotechnology relies heavily on manipulating gene activity to change cell functions and confer advantageous agronomic traits. However, our ability to control plant gene activity remains rudimentary, limiting our biotechnology capabilities. This project aims to develop synthetic gene logic gates in plants, to enable the construction of programmable genetically-encoded computational functions that can sense and process customizable inputs to drive desired changes in plant function. This advance will underpin useful applications in plant biotechnology such as improved crop stress tolerance and yield.