Discovery Early Career Researcher Award - Grant ID: DE160101570
Funder
Australian Research Council
Funding Amount
$352,000.00
Summary
Inducible hyper-expression as a tool for metabolic engineering. This project aims to develop methods to improve plant natural products yields and diversify the products manufactured from a wide array of plant species. Valuable plant metabolites, including chemotherapeutics and opiates, are usually synthesised in minute amounts and can be so complex they can’t be chemically manufactured, limiting their use and affordability. This project aims to develop an inducible system that confers hyper-elev ....Inducible hyper-expression as a tool for metabolic engineering. This project aims to develop methods to improve plant natural products yields and diversify the products manufactured from a wide array of plant species. Valuable plant metabolites, including chemotherapeutics and opiates, are usually synthesised in minute amounts and can be so complex they can’t be chemically manufactured, limiting their use and affordability. This project aims to develop an inducible system that confers hyper-elevated levels of gene expression and independent control of multiple genes involved in metabolite synthesis in the same host. This technology is expected to enable flexible multi-trait bio-factories to be developed.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100854
Funder
Australian Research Council
Funding Amount
$461,249.00
Summary
Model-directed bioengineering strategy for accelerating crop improvement. The aim is to use an advanced mechanistic crop model to investigate the interacting plant physiological processes that define yield consequences, using a sorghum model. This will involve unravelling the complex relationship between leaf gas exchange properties and crop field performance. Through a unique combination of model prediction and gene editing to target the photosynthetic pathway and stomata, the research is expec ....Model-directed bioengineering strategy for accelerating crop improvement. The aim is to use an advanced mechanistic crop model to investigate the interacting plant physiological processes that define yield consequences, using a sorghum model. This will involve unravelling the complex relationship between leaf gas exchange properties and crop field performance. Through a unique combination of model prediction and gene editing to target the photosynthetic pathway and stomata, the research is expected to gain a deep mechanistic understanding of the underpinning processes and drive the transfer of promising bioengineering targets into crops. The research is expected to discover new avenues for crop improvement, and significantly benefit crop breeding and food production capacity.Read moreRead less