Combining new synthetic biology tools to boost crop CO2 capture and growth. A solution for improving crop yield is to enhance the carbon dioxide fixation properties of the enzyme Rubisco whose inefficient activity often limits plant growth. This project makes use of new synthetic biology capabilities to artificially evolve Rubisco in the laboratory and select for new versions with improved performance. These beneficial changes will be introduced into crop Rubisco using targeted gene editing appr ....Combining new synthetic biology tools to boost crop CO2 capture and growth. A solution for improving crop yield is to enhance the carbon dioxide fixation properties of the enzyme Rubisco whose inefficient activity often limits plant growth. This project makes use of new synthetic biology capabilities to artificially evolve Rubisco in the laboratory and select for new versions with improved performance. These beneficial changes will be introduced into crop Rubisco using targeted gene editing approaches and the improvements in photosynthesis, growth and yield evaluated. This information will aid complimentary biotechnological efforts seeking to supercharge photosynthesis and help deliver the second Green Revolution needed to meet the improvement required in future agriculture productivity and resource use.Read moreRead less
Who’s who in the plant gene world? As many more plant genomes are sequenced, the bottleneck is being able to interrogate and translate this data into applications for crop improvement. This project will develop and apply a population graph database, hosting genome data for the world’s major crops and their wild relatives, allowing the characterisation of gene diversity on an unparalleled scale. Analysis of this data will reveal the presence/absence and sequence diversity for classes of genes for ....Who’s who in the plant gene world? As many more plant genomes are sequenced, the bottleneck is being able to interrogate and translate this data into applications for crop improvement. This project will develop and apply a population graph database, hosting genome data for the world’s major crops and their wild relatives, allowing the characterisation of gene diversity on an unparalleled scale. Analysis of this data will reveal the presence/absence and sequence diversity for classes of genes for important agronomic traits including disease resistance, flowering time and legume nitrogen fixation which will enable plant breeders to identify and apply novel genes and allelic variants for use in breeding programmes, accelerating the production of improved crop varieties.Read moreRead less
Understanding disease resistance gene evolution across the Brassicaceae. Pan genomes represent the diversity of a species, including structural and sequence variation, which cannot be provided by a reference genome alone. In this project we will characterise resistance gene diversity across the Brassicaceae pan genomes. Through comparison with resistance gene diversity in cultivated Brassica species we will understand selection underlying resistance gene evolution in wild species and subsequent ....Understanding disease resistance gene evolution across the Brassicaceae. Pan genomes represent the diversity of a species, including structural and sequence variation, which cannot be provided by a reference genome alone. In this project we will characterise resistance gene diversity across the Brassicaceae pan genomes. Through comparison with resistance gene diversity in cultivated Brassica species we will understand selection underlying resistance gene evolution in wild species and subsequent domestication and breeding. Knowledge on how variation affects disease susceptibility, especially to the devastating fungal pathogen blackleg, and contributes to phenotypic variation, will lead to improved plant protection strategies and increased crop resilience.Read moreRead less