Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0989589
Funder
Australian Research Council
Funding Amount
$550,000.00
Summary
A massively parallel genome analysis facility for the ACT region. Maintaining a healthy environment, supporting a sustainable agriculture industry and providing excellent healthcare are three key requirements for the future of Australia and Australians. Modern biological research has a major role to play in all three areas. The success and application of this research requires a serious investment in the new technologies that enable a systems-wide high throughput approach to biological questions ....A massively parallel genome analysis facility for the ACT region. Maintaining a healthy environment, supporting a sustainable agriculture industry and providing excellent healthcare are three key requirements for the future of Australia and Australians. Modern biological research has a major role to play in all three areas. The success and application of this research requires a serious investment in the new technologies that enable a systems-wide high throughput approach to biological questions. Co-investing in a massively parallel genome analysis facility to underpin cutting edge environmental, agricultural and biomedical research in the ACT region, will facilitate progress in areas of the utmost importance to the community and future of the nation.Read moreRead less
TraitCapture: Genomic modelling for plant phenomics under environmental stress. This project aims to develop software to integrate new hyper-spectral and 3D growth models of plant phenomics with population genomics to identify heritable developmental traits across varied environments. Genome wide association studies aim to then be used to identify causal genes. Functional structural plant models incorporating genetic variation will be used to predict growth under simulated stress environments. ....TraitCapture: Genomic modelling for plant phenomics under environmental stress. This project aims to develop software to integrate new hyper-spectral and 3D growth models of plant phenomics with population genomics to identify heritable developmental traits across varied environments. Genome wide association studies aim to then be used to identify causal genes. Functional structural plant models incorporating genetic variation will be used to predict growth under simulated stress environments. The research team unites international industry, the Australian Plant Phenomics Facility, and university statistical geneticists. TraitCapture software will use open standards applicable to both controlled and field environments enabling plant breeders to pre-select adaptive traits to increase crop productivity under environmental stress.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140101886
Funder
Australian Research Council
Funding Amount
$386,929.00
Summary
Plant microRNA targeting: defining regulatory factors additional to complementarity. Central to our understanding of microRNA biology is the identification of which genes they target. In plants, high complementarity is regarded as the sole determinant, and drives bioinformatic predictions. However, functional evidence is inconsistent with this, arguing that complementarity alone is insufficient to accurately predict targets. This project uses novel applications of next generation sequencing to c ....Plant microRNA targeting: defining regulatory factors additional to complementarity. Central to our understanding of microRNA biology is the identification of which genes they target. In plants, high complementarity is regarded as the sole determinant, and drives bioinformatic predictions. However, functional evidence is inconsistent with this, arguing that complementarity alone is insufficient to accurately predict targets. This project uses novel applications of next generation sequencing to categorise bioinformatically predicted Arabidopsis targets as either strongly or poorly regulated. These categories will be analysed to determine what factors, in addition to complementarity, are required for strong targeting. The outcomes will impact artificial microRNA design and have important implications for biotechnology. Read moreRead less