Industrial Transformation Research Hubs - Grant ID: IH130200013
Funder
Australian Research Council
Funding Amount
$4,979,922.00
Summary
ARC Research Hub for advanced breeding to transform prawn aquaculture. ARC Research Hub for advanced breeding to transform prawn aquaculture. This Research Hub aims to bring together world-leading animal geneticists, research and service providers, and Australia's largest prawn farm to gather the genomic resources, commercial phenotypic data, and apply cutting-edge genetic and genomic selection methodologies, leading to the transformative improvement program for a black tiger prawn aquaculture s ....ARC Research Hub for advanced breeding to transform prawn aquaculture. ARC Research Hub for advanced breeding to transform prawn aquaculture. This Research Hub aims to bring together world-leading animal geneticists, research and service providers, and Australia's largest prawn farm to gather the genomic resources, commercial phenotypic data, and apply cutting-edge genetic and genomic selection methodologies, leading to the transformative improvement program for a black tiger prawn aquaculture species globally.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120100390
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Characterisation of collagenous lectins and their roles in ovine infectious diseases. Specific proteins involved in immunity against infections will be studied in sheep to enhance their immune response against specific infections, such as ovine Johne's disease and footrot. This may lead to selective breeding of sheep that are more resistant to disease, minimising production losses and use of medications.
Genetic Basis of Variable Expression of Glycan Xeno-Autoantigens by Cattle. Meat and dairy products from cattle contain sugar structures (glycans) that are not made by humans. These structures can be recognised by the immune system and lead to allergic reactions, inflammation and potentially cancer. These non-human structures are called xeno-autoantigens or XAs. We have discovered individual cattle that do not produce one of these XAs. We will study the gene required to make XA in the XA-free ca ....Genetic Basis of Variable Expression of Glycan Xeno-Autoantigens by Cattle. Meat and dairy products from cattle contain sugar structures (glycans) that are not made by humans. These structures can be recognised by the immune system and lead to allergic reactions, inflammation and potentially cancer. These non-human structures are called xeno-autoantigens or XAs. We have discovered individual cattle that do not produce one of these XAs. We will study the gene required to make XA in the XA-free cattle to find the underlying mutation. The same approach will be used to look for natural XA-free individuals in other food species. This knowledge may enable us to create a test to facilitate the natural breeding of non-GMO, XA-free livestock to benefit Australian primary producers and provide safer food for consumers.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.
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
Creation of a non-venomous honey bee. On average, two Australians die from bee stings each year. Our goal is produce honey bees that do not have a dangerous sting.
Enhancing the efficiency of equine reproduction: relevant to the Thoroughbred and Standardbred breeding industries. The purpose of this project is to link the equine breeding industry with a major centre of reproductive research at the University of Newcastle. By creating this unique nexus, major efficiency gains will be achieved for this industry that will not only secure its international competitiveness but also significantly enhance its profitability.
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
Marker assisted selection of honey bees. The project will develop new molecular markers for commercially relevant trait of honey bees and ways of using these to implement marker-assisted selection for honey bee genetic improvement. Beekeepers need to use genetically improved stock to remain competitive. Honey production needs to be improved, and new ways of identifying disease resistant bees are needed. Unfortunately, breeding bees is very difficult. This project will use modern molecular gen ....Marker assisted selection of honey bees. The project will develop new molecular markers for commercially relevant trait of honey bees and ways of using these to implement marker-assisted selection for honey bee genetic improvement. Beekeepers need to use genetically improved stock to remain competitive. Honey production needs to be improved, and new ways of identifying disease resistant bees are needed. Unfortunately, breeding bees is very difficult. This project will use modern molecular genetic techniques to help find new efficient ways to breed better bees. The benefits will be a more viable beekeeping sector, a keystone industry that provides pollination services essential to many horticultural industriesRead moreRead less