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
Sexual antagonism and the consequences of sex-specific selection. Males and females arise from essentially the same genome yet are selected in vastly different ways. This exposes gene pools to alternate episodes of feminising- and masculinising-selection, thereby promoting Sexually Antagonistic (SA) evolution. Sex chromosomes are predicted to play an important role in SA evolution because sex-linkage allows for gender-specific gene expression, but data on the role of sex-linked genes are limited ....Sexual antagonism and the consequences of sex-specific selection. Males and females arise from essentially the same genome yet are selected in vastly different ways. This exposes gene pools to alternate episodes of feminising- and masculinising-selection, thereby promoting Sexually Antagonistic (SA) evolution. Sex chromosomes are predicted to play an important role in SA evolution because sex-linkage allows for gender-specific gene expression, but data on the role of sex-linked genes are limited to Drosophila, a male heterogametic (XY) model. This project will determine the consequences of SA selection in the butterfly Eurema hecabe (a female ZW heterogamete) using experimental evolution and the feminising endosymbiont Wolbachia to force male genomes through bouts of feminising selection.Read moreRead less
Genomic selection: a new frontier for higher rates of genetic gain in wheat. The historical rates of genetic gain in wheat production are insufficient to meet the world's future needs for wheat-based food. Genomic selection (GS) is the most likely candidate tool that is capable of delivering the required level of genetic gain. This project will develop data-sets and statistical methods to implement GS in wheat.
Discovery Indigenous Researchers Development - Grant ID: DI100100158
Funder
Australian Research Council
Funding Amount
$199,988.00
Summary
Climate change research: Can Sydney rock oysters adapt to chronic multigenerational exposure to ocean acidification and temperature?
. Our goal is to understand how long term exposure to climate change will affect oysters in an effort to climate-proof the Australian oyster industry. Oyster farming is worth more than $1 billion a year in retail sales and employs thousands of Australians. The future of this industry is threatened by climate change, particularly its impact on the reproduction an ....Climate change research: Can Sydney rock oysters adapt to chronic multigenerational exposure to ocean acidification and temperature?
. Our goal is to understand how long term exposure to climate change will affect oysters in an effort to climate-proof the Australian oyster industry. Oyster farming is worth more than $1 billion a year in retail sales and employs thousands of Australians. The future of this industry is threatened by climate change, particularly its impact on the reproduction and development of oysters. Our study will identify how oysters respond to chronic multigenerational exposure to ocean acidification and temperature, & identify physiological mechanisms and genes associated with climate change adaptation. This work will maintain Australia's position at the forefront of climate change research on marine ecosystems.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.
Developing Zn-dense, high-yielding wheat by molecular marker technology. The objective of this project is to identify pathways leading to the accumulation of zinc — an important element for human nutrition — in wheat. The project aims to provide biochemical and molecular markers for breeding programs that will facilitate the selection of superior breeding lines for improved human nutrition and seed health. This project builds on studies using a wheat diversity panel with 90 000 gene-based single ....Developing Zn-dense, high-yielding wheat by molecular marker technology. The objective of this project is to identify pathways leading to the accumulation of zinc — an important element for human nutrition — in wheat. The project aims to provide biochemical and molecular markers for breeding programs that will facilitate the selection of superior breeding lines for improved human nutrition and seed health. This project builds on studies using a wheat diversity panel with 90 000 gene-based single nucleotide polymorphism (SNP) markers, where zinc–SNP associations were identified. The project also builds on recent studies that show particular metabolites and macronutrients around anthesis are linked to improved grain zinc concentration at maturity.Read moreRead less
The behaviour-genetics of NAPLAN data: Increasing power for complex analyses. This longitudinal behaviour-genetic study of the National Assessment Program – Literacy and Numeracy (NAPLAN) results at Grades 3, 5, 7 and 9 will continue to document the influence of genes and environmental factors on individual differences in school achievement. It aims to strengthen the longitudinal aspects of the data, allowing the project to identify sources of stability and change across the seven school years o ....The behaviour-genetics of NAPLAN data: Increasing power for complex analyses. This longitudinal behaviour-genetic study of the National Assessment Program – Literacy and Numeracy (NAPLAN) results at Grades 3, 5, 7 and 9 will continue to document the influence of genes and environmental factors on individual differences in school achievement. It aims to strengthen the longitudinal aspects of the data, allowing the project to identify sources of stability and change across the seven school years of the NAPLAN. It also aims to increase numbers in the low and high tails of the score distributions, creating a clearer picture of deficits like dyslexia and dyscalculia, and allow for firmer identification of gene-by-environment interactions. The project aims to further illuminate any differential effectiveness of schools and teachers on student outcomes, a topic of high public interest.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100614
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Novel statistical algorithms and methods to quantify and partition pleiotropy between complex traits in populations. A fundamental question in biology is how common genetic effects are shared between traits or groups. For example, is cognition or human behaviour genetically identical across genders or across human population groups? This project will address these questions using multiple independent genome-wide association studies.
Expanding gene-environment causality in evolutionary genetics. This project aims to investigate how environmental experiences shape phenotypes, engender variance in populations and ultimately contribute to evolution. It targets new discoveries for how environmental effects can multiply throughout ontogeny and/or propagate across generations. Although widely speculated to support new evolutionary paradigms, such knowledge lacks scrutiny according to the formal metric of quantitative genetics. Thi ....Expanding gene-environment causality in evolutionary genetics. This project aims to investigate how environmental experiences shape phenotypes, engender variance in populations and ultimately contribute to evolution. It targets new discoveries for how environmental effects can multiply throughout ontogeny and/or propagate across generations. Although widely speculated to support new evolutionary paradigms, such knowledge lacks scrutiny according to the formal metric of quantitative genetics. This project seeks to expose guppy pedigrees to unique manipulations and reconcile adaptive evolution across captive and wild populations. The outcome is expected to address knowledge gaps in the life and human sciences and potentially inform goals in primary production and conservation.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