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Australian State/Territory : QLD
Field of Research : Quantitative Genetics
Research Topic : Population Isolate
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  • Funded Activity

    Discovery Projects - Grant ID: DP0664869

    Funder
    Australian Research Council
    Funding Amount
    $680,000.00
    Summary
    A Genomic Dissection of Natural Adaptation in Mate Recognition. Adaptation is a fundamental area of evolutionary biology but we know surprisingly little about its underlying genetic basis. As a process, adaptation poses several challenges for Australian society including bacterial evolution of resistance to antibiotics, HIV resistance to antiviral medications and the evolution of pesticide resistance in agricultural pests. This study will use a model system and genomic tools to test theoretical .... A Genomic Dissection of Natural Adaptation in Mate Recognition. Adaptation is a fundamental area of evolutionary biology but we know surprisingly little about its underlying genetic basis. As a process, adaptation poses several challenges for Australian society including bacterial evolution of resistance to antibiotics, HIV resistance to antiviral medications and the evolution of pesticide resistance in agricultural pests. This study will use a model system and genomic tools to test theoretical models of the genetic basis of adaptation. This integrative approach will enhance Australia's research profile in genomics and evolutionary biology. The project will provide emerging scientists with skills in areas including genomics, molecular biology, evolutionary biology and agricultural genetics.
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    Funded Activity

    Discovery Projects - Grant ID: DP0770096

    Funder
    Australian Research Council
    Funding Amount
    $309,000.00
    Summary
    Maximising knowledge from dense SNP (single nucleotide polymorphisms) data using multi-locus analysis. The genomics revolution has made it possible to measure thousands of DNA variants in individuals. This information can be used in many ways, including to find genes that cause variation between individuals in a population and to estimate the size of the population in the past. Our study will lead an analysis method that will extract more information out of such data. This will improve the effi .... Maximising knowledge from dense SNP (single nucleotide polymorphisms) data using multi-locus analysis. The genomics revolution has made it possible to measure thousands of DNA variants in individuals. This information can be used in many ways, including to find genes that cause variation between individuals in a population and to estimate the size of the population in the past. Our study will lead an analysis method that will extract more information out of such data. This will improve the efficiency of gene mapping methods, including applications in humans for traits related to productive ageing and a healthy start to life, will allow the estimation of genetic relatedness and genetic variation in natural populations, and will lead to more efficient selection programs in agricultural populations.
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    Funded Activity

    Discovery Projects - Grant ID: DP0880204

    Funder
    Australian Research Council
    Funding Amount
    $1,015,754.00
    Summary
    Drosophila Quantitative Genomics. This research proposal will be a key element in the emerging program in evolutionary and ecological functional genomics at the University of Queensland. Our studies utilize modern genomics approaches to address diverse national priorities from conservation of biological resources in the face of climate change, to understanding how genetic history contributes to drug susceptibility. The research will contribute to the intellectual foundation upon which rigorous .... Drosophila Quantitative Genomics. This research proposal will be a key element in the emerging program in evolutionary and ecological functional genomics at the University of Queensland. Our studies utilize modern genomics approaches to address diverse national priorities from conservation of biological resources in the face of climate change, to understanding how genetic history contributes to drug susceptibility. The research will contribute to the intellectual foundation upon which rigorous environmental and biomedical research is built. Social impact will be seen in the training of a new generation of integrative genome biologists, and the shaping of attitudes toward the role of genetics in human biology.
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    Funded Activity

    Linkage - International - Grant ID: LX0990032

    Funder
    Australian Research Council
    Funding Amount
    $81,000.00
    Summary
    Adaptive evolution of mutual mate preferences in nature. Working at the interface of evolution, genetics and the environment, our research combines top scientists from Australia and abroad to seek a comprehensive understanding of the origins of biodiversity, and the evolution of new species. Such knowledge is essential if we wish to predict, and hopefully minimise, the loss of biodiversity through human-mediated environmental change. Using a native Australian insect, we are investigating the evo .... Adaptive evolution of mutual mate preferences in nature. Working at the interface of evolution, genetics and the environment, our research combines top scientists from Australia and abroad to seek a comprehensive understanding of the origins of biodiversity, and the evolution of new species. Such knowledge is essential if we wish to predict, and hopefully minimise, the loss of biodiversity through human-mediated environmental change. Using a native Australian insect, we are investigating the evolutionary consequences of the choice individuals make when selecting a mate. In addition to its role in the origin and maintenance of biodiversity, these choices can have fundamental effects on adaptation to changing environments and the long-term persistence of endangered populations.
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    Funded Activity

    Discovery Projects - Grant ID: DP0209259

    Funder
    Australian Research Council
    Funding Amount
    $561,000.00
    Summary
    Mapping Speciation Genes. Although Darwin's seminal work was entitled "On the Origin of Species", how new species arise is still poorly understood. Modern genetic techniques and quantitative trait loci analysis (QTLs) potentially allow the characterization of the genetic basis of traits directly involved in the speciation process. I intend to conduct two complementary QTL analyses of reproductive isolation in the Drosophila serrata complex. The first will determine the genetic basis of reproduc .... Mapping Speciation Genes. Although Darwin's seminal work was entitled "On the Origin of Species", how new species arise is still poorly understood. Modern genetic techniques and quantitative trait loci analysis (QTLs) potentially allow the characterization of the genetic basis of traits directly involved in the speciation process. I intend to conduct two complementary QTL analyses of reproductive isolation in the Drosophila serrata complex. The first will determine the genetic basis of reproductive isolation between D. serrata and D. birchii, while the second will determine if the same loci are currently under natural selection in D. serrata populations that are sympatric with D. birchii.
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    Funded Activity

    Discovery Projects - Grant ID: DP0344806

    Funder
    Australian Research Council
    Funding Amount
    $225,000.00
    Summary
    Natural Selection on Mate Recognition in Field Populations of Drosophila serrata. Natural selection on mate recognition is thought to play an important role in the process of speciation. Stronger mating discrimination between closely related species in areas where their distributions overlap, referred to as reproductive character displacement, suggests that mate recognition has been reinforced by natural selection. Drosophila serrata displays reproductive character displacement in areas where .... Natural Selection on Mate Recognition in Field Populations of Drosophila serrata. Natural selection on mate recognition is thought to play an important role in the process of speciation. Stronger mating discrimination between closely related species in areas where their distributions overlap, referred to as reproductive character displacement, suggests that mate recognition has been reinforced by natural selection. Drosophila serrata displays reproductive character displacement in areas where it occurs alongside the congener D. birchii. Using a combination of molecular and quantitative genetic techniques I will investigate how reproductive character displacement has evolved in natural populations of D. serrata. Specifically, the role that natural selection has played in generating this pattern will be evaluated.
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