Investigating differences in decision-making ability in older adults. This project aims to investigate how healthy ageing impacts decision making and its associated neural circuits using computation modelling and neurogenetic methods. Decision-making is a fundamental cognitive ability, allowing us to choose the best course of action. This project will investigate the relationship between genes and decision-making performance across the adult lifespan. Expected outcomes include a deeper understan ....Investigating differences in decision-making ability in older adults. This project aims to investigate how healthy ageing impacts decision making and its associated neural circuits using computation modelling and neurogenetic methods. Decision-making is a fundamental cognitive ability, allowing us to choose the best course of action. This project will investigate the relationship between genes and decision-making performance across the adult lifespan. Expected outcomes include a deeper understanding of how decision-making evolves in healthy ageing, and a tool based on genetic scores and computational modelling to predict an individual's trajectory of cognitive function. This could help identify individuals who are at risk for cognitive decline, which could then inform better interventions.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
Rediscovering Aboriginal dispersal pathways. This project aims to use cutting-edge and transdisciplinary tools in partnership with Aboriginal people to rediscover deliberate prehistoric plant dispersal pathways along the Australian east coast. By working on three unrelated species with similar disjunct distributions, expected outcomes include detecting significant ‘cultural’ vegetation patterns that will challenge current assumptions about 'natural' plant distributions. New associations between ....Rediscovering Aboriginal dispersal pathways. This project aims to use cutting-edge and transdisciplinary tools in partnership with Aboriginal people to rediscover deliberate prehistoric plant dispersal pathways along the Australian east coast. By working on three unrelated species with similar disjunct distributions, expected outcomes include detecting significant ‘cultural’ vegetation patterns that will challenge current assumptions about 'natural' plant distributions. New associations between plant biogeography and deliberate Aboriginal manipulation of Australian environments will benefit cultural heritage, land management and restoration initiatives.Read moreRead less
Genomes on islands: Improving management of Australia's threatened mammals. This project aims to improve the management of endangered mammals by combining data on genomic and morphological variation with results from conservation translocations. Using new genomics methods, the project will measure the effects of small population size on genetic diversity and mutation load, in extinct as well as remnant and translocated populations. The project will monitor seven intensively managed marsupial spe ....Genomes on islands: Improving management of Australia's threatened mammals. This project aims to improve the management of endangered mammals by combining data on genomic and morphological variation with results from conservation translocations. Using new genomics methods, the project will measure the effects of small population size on genetic diversity and mutation load, in extinct as well as remnant and translocated populations. The project will monitor seven intensively managed marsupial species to better understand how to mix populations for fauna restoration projects. This project should improve methods to promote species recovery in Australia and globally.Read moreRead less
Designing successful genetic-rescue approaches for threatened species. This project aims to determine how threatened populations of inbred native species can be 'genetically rescued' by introducing genetically healthy individuals. This is significant because Australia is a global hotspot of extinctions and threatened species, so tools that can be used to offset extinction risk will benefit entire ecosystems at risk. We will focus on two inbred populations of koalas in South Australia to (1) meas ....Designing successful genetic-rescue approaches for threatened species. This project aims to determine how threatened populations of inbred native species can be 'genetically rescued' by introducing genetically healthy individuals. This is significant because Australia is a global hotspot of extinctions and threatened species, so tools that can be used to offset extinction risk will benefit entire ecosystems at risk. We will focus on two inbred populations of koalas in South Australia to (1) measure and map patterns of genetic diversity, (2) map densities and track individuals to measure demography, (3) develop advanced spatial models that combine population demography and genetic processes to predict the effectiveness of genetic rescue, and (4) source and rear healthy individuals to test our predictions.Read moreRead less
Silicon: a novel solution to reduce water use and pest damage in wheat. The project aims to improve Australian wheat production by increasing drought resilience and reducing reliance on pesticides. This is achieved by incorporating amorphous silicon (Si), an abundant national resource. Si uptake by wheat has been proven to alleviate stress from drought and pests, but mechanisms and agronomic feasibility remain to be fully assessed. The project will deliver a mechanistic understanding of how Si a ....Silicon: a novel solution to reduce water use and pest damage in wheat. The project aims to improve Australian wheat production by increasing drought resilience and reducing reliance on pesticides. This is achieved by incorporating amorphous silicon (Si), an abundant national resource. Si uptake by wheat has been proven to alleviate stress from drought and pests, but mechanisms and agronomic feasibility remain to be fully assessed. The project will deliver a mechanistic understanding of how Si alleviates stress in wheat, from gene to farm scale, providing cost-benefit analysis and a best–practice toolbox for implementation by farmers. Outcomes are anticipated to provide a cheaper and more environmentally sustainable solution to issues of water scarcity and yield losses to pests in Australia’s leading crop.Read moreRead less
Integrating climate adaptation into rainforest restoration plantings. This project aims to investigate the impact of within species adaptation to climate on restoratoin success in the Australian Wet Tropics. For a suite of six species of tropical tree frequently employed in rainforest restoration plantings in northeast Queensland, this project aims to test the hypothesis that collecting seed from populations in similar ecoclimatic settings to the planting site will result in superior seedling gr ....Integrating climate adaptation into rainforest restoration plantings. This project aims to investigate the impact of within species adaptation to climate on restoratoin success in the Australian Wet Tropics. For a suite of six species of tropical tree frequently employed in rainforest restoration plantings in northeast Queensland, this project aims to test the hypothesis that collecting seed from populations in similar ecoclimatic settings to the planting site will result in superior seedling growth and survival. The expected outcome is to provide practical advice to restoration practitioners about the importance of matching the provenance of seed source to planting sites, and opportunities for selecting provenances pre-adapted to predicted future climatic conditions at planting sites.Read moreRead less
China’s changing internal migration: patterns, causes, policy implications. China’s massive internal migration is no longer simply rural–urban and circular but highly diversified. The project aims to unravel that transition: its patterns, causes, and effects. Using 2020 census data and major longitudinal datasets, a China variant of Zelinsky’s classic mobility transition theory will be developed and deployed to identify underlying mechanisms. Among expected outcomes are powerful methods for asse ....China’s changing internal migration: patterns, causes, policy implications. China’s massive internal migration is no longer simply rural–urban and circular but highly diversified. The project aims to unravel that transition: its patterns, causes, and effects. Using 2020 census data and major longitudinal datasets, a China variant of Zelinsky’s classic mobility transition theory will be developed and deployed to identify underlying mechanisms. Among expected outcomes are powerful methods for assessing spatio-temporal migration patterns and causes, applicable to many economies especially in the Asia–Pacific. Benefits should include a new evidence base for migration and related urban–rural policy in China; and for Australia, policy inputs to improve prosperity through better relations with our biggest trading partner.Read moreRead less
Do root microbiomes control seagrass response to environmental stress? The project aims to determine the role root microbes play in controlling seagrass responses to environmental stress. By integrating marine and microbial ecology, environmental genomics and ecosystem function (e.g., biogeochemical cycling), this project is significant as it will create new knowledge of the processes that confer seagrass resilience to global environmental issues. An expected outcome is an increased understandin ....Do root microbiomes control seagrass response to environmental stress? The project aims to determine the role root microbes play in controlling seagrass responses to environmental stress. By integrating marine and microbial ecology, environmental genomics and ecosystem function (e.g., biogeochemical cycling), this project is significant as it will create new knowledge of the processes that confer seagrass resilience to global environmental issues. An expected outcome is an increased understanding of how microbes control seagrass health and an enhanced capacity to develop effective restoration strategies for Australia's valuable seagrass ecosystems. Benefits include improving the extensive environmental, economic, social/cultural services Australian communities derive from seagrass ecosystems.Read moreRead less
Whole-genome multivariate reaction norm model for complex traits. This project aims to develop a multivariate whole-genome genotype-covariate correlation and interaction model that can be applied to a wide range of existing genome-wide association study (GWAS) datasets. Genotype-covariate correlation and interaction (GCCI) are fundamental in biology but there is no standard approach to disentangle interaction from correlation in the whole-genome analyses. This project will address the key featur ....Whole-genome multivariate reaction norm model for complex traits. This project aims to develop a multivariate whole-genome genotype-covariate correlation and interaction model that can be applied to a wide range of existing genome-wide association study (GWAS) datasets. Genotype-covariate correlation and interaction (GCCI) are fundamental in biology but there is no standard approach to disentangle interaction from correlation in the whole-genome analyses. This project will address the key feature in biology, which relates to dissecting the complex mechanism of association and interaction. The proposed statistical model implemented in a context of a novel design based on multiple GWAS data sets is a paradigm shifting-tool with applications to multiple industries.Read moreRead less