Methods to infer dense genomic information from sparsely genotyped populations. Prediction of phenotype based on DNA polymorphisms or sequence has important applications such as prediction of disease risk in human medicine and prediction of genetic value in plant or animal breeding. This project will enhance precision and lower the cost of association studies leading to substantial increase in accuracy of such predictions. This will allow more effective genetic improvement, particularly of diff ....Methods to infer dense genomic information from sparsely genotyped populations. Prediction of phenotype based on DNA polymorphisms or sequence has important applications such as prediction of disease risk in human medicine and prediction of genetic value in plant or animal breeding. This project will enhance precision and lower the cost of association studies leading to substantial increase in accuracy of such predictions. This will allow more effective genetic improvement, particularly of difficult but important traits such as disease resistance, reduced green-house gas emissions and product quality. The same methods can be extended to improve genetic improvement in plants and better prediction of human disease risk. Read moreRead less
Using cutting edge genomic tools to dissect the molecular control of hybrid vigour in cereals. Hybrid cereals grow in a wide range of environments, require less water and produce more grain from less land. This project will generate an enhanced capacity to rapidly develop new hybrid cereal varieties. The Australian community will benefit by having enhanced food security using less water and less land. The Australian community will also benefit because land and water will be released to the envir ....Using cutting edge genomic tools to dissect the molecular control of hybrid vigour in cereals. Hybrid cereals grow in a wide range of environments, require less water and produce more grain from less land. This project will generate an enhanced capacity to rapidly develop new hybrid cereal varieties. The Australian community will benefit by having enhanced food security using less water and less land. The Australian community will also benefit because land and water will be released to the environment, or to support other industries and their communities, or to grow other crops. The wide environmental adaptation of these hybrid cereals will allow the Australian community to respond flexibly to adverse climatic changes. Read moreRead less
Integrating a physical and functional genetic map of Prunus dulcis. Genome wide physical mapping is the centrepiece of current genomics research in virtually all plant and animal species. The proposal seeks to champion the development of Prunus dulcis (Rosaceae) as a model perennial species towards parity with other plant model systems for gene discovery and validation. The Rosaceae represents a rich repository of genes of relevance to perenniality, adaptation, sustainable agriculture, health a ....Integrating a physical and functional genetic map of Prunus dulcis. Genome wide physical mapping is the centrepiece of current genomics research in virtually all plant and animal species. The proposal seeks to champion the development of Prunus dulcis (Rosaceae) as a model perennial species towards parity with other plant model systems for gene discovery and validation. The Rosaceae represents a rich repository of genes of relevance to perenniality, adaptation, sustainable agriculture, health and nutrition and the bioindustries. Ultimately, comparative genomics across the family will advance molecular eco-genetics via dissection of traits determining adaptive response. Access to user-friendly molecular markers will also bring greater precision to breeding programmes. Read moreRead less
Regulation of Plant Development by Small RNAs. Understanding the roles of small RNAs and their pathways is a new field of research that is giving, and will continue to give profound insights into how multicellular organisms regulate gene expression at a genomic level. Research in this area has already led to RNA interference technology, by which almost any gene can be switched off, and there is considerable potential for other gene silencing and trait modification technologies to emerge. The pro ....Regulation of Plant Development by Small RNAs. Understanding the roles of small RNAs and their pathways is a new field of research that is giving, and will continue to give profound insights into how multicellular organisms regulate gene expression at a genomic level. Research in this area has already led to RNA interference technology, by which almost any gene can be switched off, and there is considerable potential for other gene silencing and trait modification technologies to emerge. The project will yield insights into fundamental biological processes which are expected to engender applications in agriculture and biotechnology. It will maintain and enhance Australia's position in this area.Read moreRead less
Small RNAs: what makes a plant, a plant. Understanding the roles of small RNAs and their pathways is a young field of research that is giving, and will continue to give, profound insights into how multicellular organisms regulate gene expression at a genomic level. Research in this area has already led to RNA interference technology, by which almost any gene can be switched off, and there is considerable potential for other gene silencing and trait modification technologies to emerge. The projec ....Small RNAs: what makes a plant, a plant. Understanding the roles of small RNAs and their pathways is a young field of research that is giving, and will continue to give, profound insights into how multicellular organisms regulate gene expression at a genomic level. Research in this area has already led to RNA interference technology, by which almost any gene can be switched off, and there is considerable potential for other gene silencing and trait modification technologies to emerge. The project will yield insights into fundamental biological processes which are expected to engender applications in agriculture and biotechnology. It will maintain and enhance Australia's position in this area.Read moreRead less
Evolution, selection and estimation of polygenic epistatic networks in quantitative traits. Traits observed in organisms, such as height, are the result of an individual's genes and how they relate to the environment. But genes do not act alone; they work together in complex interactions. This project aims to understand these interactions and their role in animal production and human disease.
Accelerated Domestication of Australian Grass Species Using Molecular Tools. The development of new food crops from the Australian flora will provide opportunities for new sustainable agricultural and food industries in Australia. The project targets the accelerated domestication of native species with lower tillage and fertiliser requirements, better water use efficiencies and increased salt, shade, frost and/or drought tolerances than the current introduced cereal and fodder crops. This will ....Accelerated Domestication of Australian Grass Species Using Molecular Tools. The development of new food crops from the Australian flora will provide opportunities for new sustainable agricultural and food industries in Australia. The project targets the accelerated domestication of native species with lower tillage and fertiliser requirements, better water use efficiencies and increased salt, shade, frost and/or drought tolerances than the current introduced cereal and fodder crops. This will directly benefit regional Australia. The technologies developed in the project will have wide application to accelerated domestication of other Australian plants (for agriculture and food production in Australia and internationally) and to plants found in other parts of the world.Read moreRead less
Estimating genotype-environment interaction using genomic information. This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and meth ....Estimating genotype-environment interaction using genomic information. This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and methods and an efficient algorithm implemented in software, which would broadly benefit the field of complex trait genetics. Methods to estimate genotype–environment interaction effects at the genomic level would help elucidate complex biological systems, including human genetic response to changing environmental factors and the potential adaptation of animals to changing environmental conditions.Read moreRead less
Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, populat ....Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, population samples or from different populations (e.g. multi-ethnicities or multi-breeds). The expected outcome is to better understand the dynamic architecture of complex traits and develop methods with improved power, precision and accuracy in genomic analyses.Read moreRead less