Next generation high throughput lipidomics using adaptive modelling. This project aims to develop a unique high-throughput method to capture the lipidomic profile of human plasma suitable for large human population screening. Lipids are fundamental to every biological system, but our understanding of their regulation in humans have been largely superficial. By incorporating a new lipidomics approach, with genomic data, this project aims to expand our understanding of human biology by identifying ....Next generation high throughput lipidomics using adaptive modelling. This project aims to develop a unique high-throughput method to capture the lipidomic profile of human plasma suitable for large human population screening. Lipids are fundamental to every biological system, but our understanding of their regulation in humans have been largely superficial. By incorporating a new lipidomics approach, with genomic data, this project aims to expand our understanding of human biology by identifying regulators of lipid metabolism. The large diversity in humans necessitate sufficient sample sizes to identify true genetic regulators, but to date techniques capturing phenotypic data (lipids) have been largely limited. It is anticipated that this study will identify new regulators of lipid metabolism in humans.Read moreRead less
Accelerating pulse breeding using machine learning. Advances in genomics and high throughput phenotyping are generating vast quantities of data that can be applied for crop improvement, however the lack of computational analysis tools and approaches limits the full exploitation of this data. Pulse legumes are currently under utilised in Australian agriculture due to poor adaptation, however they offer significant benefits both for soil improvement and the production of high protein crops. This p ....Accelerating pulse breeding using machine learning. Advances in genomics and high throughput phenotyping are generating vast quantities of data that can be applied for crop improvement, however the lack of computational analysis tools and approaches limits the full exploitation of this data. Pulse legumes are currently under utilised in Australian agriculture due to poor adaptation, however they offer significant benefits both for soil improvement and the production of high protein crops. This project will develop machine learning (ML) tools for the analysis of pulse legume crop traits and their association with genomic variation to accelerate the breeding of high performance pulse legumes for Australian growers.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
IDENTIFYING CONTROL ELEMENTS IN CHLOROPLAST GENE EXPRESSION. Energy from sunlight is captured by photosynthesis in plants, providing the basis for the terrestrial food chain. This process takes place in chloroplasts, subcellular structures that derived from photosynthetic bacteria a billion years ago. Chloroplasts have their own DNA, containing genes encoding the most important photosynthetic proteins. This project aims to provide the world’s best resources for the study of chloroplast genes. In ....IDENTIFYING CONTROL ELEMENTS IN CHLOROPLAST GENE EXPRESSION. Energy from sunlight is captured by photosynthesis in plants, providing the basis for the terrestrial food chain. This process takes place in chloroplasts, subcellular structures that derived from photosynthetic bacteria a billion years ago. Chloroplasts have their own DNA, containing genes encoding the most important photosynthetic proteins. This project aims to provide the world’s best resources for the study of chloroplast genes. In the process, we will discover how these important genes are regulated to provide photosynthetic proteins in the right amounts, in the right cells, at the right time. The knowledge and resources gained will facilitate improvement of photosynthetic function in future agricultural crops.Read moreRead less
The adaptive evolution of key methane-utilising microorganisms. This project aims to characterise the evolutionary adaptations of a group of microorganisms with a key role in mitigating the release of methane into the atmosphere. Innovative molecular and visualisation-based approaches will be applied to uncover their metabolic diversity and evolutionary history. An important outcome of this study will be the comprehensive understanding of the contribution and impact these microorganisms have on ....The adaptive evolution of key methane-utilising microorganisms. This project aims to characterise the evolutionary adaptations of a group of microorganisms with a key role in mitigating the release of methane into the atmosphere. Innovative molecular and visualisation-based approaches will be applied to uncover their metabolic diversity and evolutionary history. An important outcome of this study will be the comprehensive understanding of the contribution and impact these microorganisms have on the global carbon cycle, which will importantly inform accurate climate change models. This has clear benefits for society, given the precision of such models is essential in our ability to minimise the impact and associated cost of global warming.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100040
Funder
Australian Research Council
Funding Amount
$447,127.00
Summary
Unravelling the genetics of Kangaroo paws for climate-resilient gardens. The project will produce the first DNA-anchored plant lineage map of Kangaroo paws and gain novel insights into their resilient growth characteristics. Using novel genome and data-driven strategies, this project addresses the knowledge gap around the genetic heirloom of more than 200 iconic Kangaroo paw varieties to speed up the breeding of new varieties with enticing leaf patterns and flower colour combinations. While unra ....Unravelling the genetics of Kangaroo paws for climate-resilient gardens. The project will produce the first DNA-anchored plant lineage map of Kangaroo paws and gain novel insights into their resilient growth characteristics. Using novel genome and data-driven strategies, this project addresses the knowledge gap around the genetic heirloom of more than 200 iconic Kangaroo paw varieties to speed up the breeding of new varieties with enticing leaf patterns and flower colour combinations. While unravelling the inheritability and breeding barriers, immediate industry adoption will boost horticultural breeding programs long-term. This project uses cutting-edge science to enhance industry capacity for providing new Kangaroo paws for climate-resilient urban green spaces on the national and international market.Read moreRead less