Expanding and resolving the earliest modern human divergence through DNA. This project aims to expand and resolve the earliest modern human divergence. Although it is clear modern humans emerged from Africa, there is no consensus on the timeline of modern human evolution. Archaeological evidence suggests two contenders: east and southern Africa. Genetic data supports the latter; the team’s own data shows that the southern African KhoeSan click-speaking forager peoples have the oldest extant huma ....Expanding and resolving the earliest modern human divergence through DNA. This project aims to expand and resolve the earliest modern human divergence. Although it is clear modern humans emerged from Africa, there is no consensus on the timeline of modern human evolution. Archaeological evidence suggests two contenders: east and southern Africa. Genetic data supports the latter; the team’s own data shows that the southern African KhoeSan click-speaking forager peoples have the oldest extant human lineages. This project will generate large mitochondrial genome and whole genome sequence data for KhoeSan lineages. This is expected to narrow the time of modern human emergence.Read moreRead less
Unlocking the genetic and biochemical potential of kangaroo paws. Using cutting-edge gene technology and an interdisciplinary approach, this project aims to uncover the genes responsible for flower colour in the iconic kangaroo paws of Western Australia, and identify the compounds that produce the colours. The project expects to produce the first entire kangaroo paw genome and identify unique genetic variants and biochemicals underlying colour differences. This new knowledge should help horticul ....Unlocking the genetic and biochemical potential of kangaroo paws. Using cutting-edge gene technology and an interdisciplinary approach, this project aims to uncover the genes responsible for flower colour in the iconic kangaroo paws of Western Australia, and identify the compounds that produce the colours. The project expects to produce the first entire kangaroo paw genome and identify unique genetic variants and biochemicals underlying colour differences. This new knowledge should help horticultural programs to more easily breed varieties with desirable and highly marketable new colours, and could assist in conserving these amazing Australian plants.Read moreRead less
Haplodiploidy: the great evolutionary innovation of the Hymenoptera. This project aims to identify a key gene that causes thelytokous parthenogenesis. Thelytoky is the ability of a female to clone herself (virgin birth), and is wide spread in the Hymenoptera which include bees, wasps and ants. Hymenopteran thelytoky is important because it facilitates some major transitions in life history, particularly social parasitism. The capacity for virgin birth is central to the invasiveness of many ant s ....Haplodiploidy: the great evolutionary innovation of the Hymenoptera. This project aims to identify a key gene that causes thelytokous parthenogenesis. Thelytoky is the ability of a female to clone herself (virgin birth), and is wide spread in the Hymenoptera which include bees, wasps and ants. Hymenopteran thelytoky is important because it facilitates some major transitions in life history, particularly social parasitism. The capacity for virgin birth is central to the invasiveness of many ant species, and enables social cancers (parasitic workers that kill colonies) in bees. The benefit of this project is that the identification of the gene should help identify potentially invasive ant species and help prevent the social cancers that affect commercial beekeeping in South Africa from spreading world-wide.Read moreRead less
Genomic signatures of adaptive diversification in woodland Eucalyptus. This project aims to map the sources of adaptive alleles underlying diversification is to reveal insights into the mechanisms of speciation. The source of the raw material for evolution can have significant impacts on the speed with which populations can adapt. An emerging pattern in speciation research is the importance of ancient alleles and introgressed genes, which differ in the genomic signatures left by selection. Eucal ....Genomic signatures of adaptive diversification in woodland Eucalyptus. This project aims to map the sources of adaptive alleles underlying diversification is to reveal insights into the mechanisms of speciation. The source of the raw material for evolution can have significant impacts on the speed with which populations can adapt. An emerging pattern in speciation research is the importance of ancient alleles and introgressed genes, which differ in the genomic signatures left by selection. Eucalyptus offers a unique opportunity to explore these modes of evolution using the latest genomic tools. Improving our understanding of adaptation and genetic variation in woodland eucalypts is expected to make a significant contribution to their conservation, management and restoration.Read moreRead less
Fisheries genomics of snapper in Australia and New Zealand Waters. This industry-driven project aims to assemble a strategic research alliance to generate and apply knowledge to a highly significant fisheries resource. It involves collaboration between the five major state government fisheries agencies in Australia, the New Zealand’s Crown Research Institute for seafood and two Australian labs with leadership in fish genetics and genomics. It expects to generate and integrate genomic, environmen ....Fisheries genomics of snapper in Australia and New Zealand Waters. This industry-driven project aims to assemble a strategic research alliance to generate and apply knowledge to a highly significant fisheries resource. It involves collaboration between the five major state government fisheries agencies in Australia, the New Zealand’s Crown Research Institute for seafood and two Australian labs with leadership in fish genetics and genomics. It expects to generate and integrate genomic, environmental and phenotypic datasets for snapper populations from across vast coastal regions of the two countries. The outcomes should substantially enhance intra- and inter-jurisdictional fisheries management and aquaculture initiatives, providing commercial, social and environmental benefits for many stakeholders.Read moreRead less
Optimising plant populations for ecological restoration and resilience. When choosing individual plants for restoration populations, there is potentially a trade-off between maximising genetic diversity (‘adaptability’) and selection for desirable properties (‘adaptation’). This project aims to develop pioneering methods to quantify this trade-off, and facilitate the design of optimised populations, with a focus on two Australian rainforest trees that are being impacted by myrtle rust infection: ....Optimising plant populations for ecological restoration and resilience. When choosing individual plants for restoration populations, there is potentially a trade-off between maximising genetic diversity (‘adaptability’) and selection for desirable properties (‘adaptation’). This project aims to develop pioneering methods to quantify this trade-off, and facilitate the design of optimised populations, with a focus on two Australian rainforest trees that are being impacted by myrtle rust infection: Rhodamnia argentea and Rhodamnia rubescens. By studying the genetic variation in each species, and how this relates to myrtle rust resistance and climate, this project aims to design populations that are genetically diverse, maximally resistant to myrtle rust, and adapted to future climate.Read moreRead less
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
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.
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