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Field of Research : Molecular Evolution
Australian State/Territory : NSW
Australian State/Territory : SA
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  • Funded Activity

    Discovery Projects - Grant ID: DP0556545

    Funder
    Australian Research Council
    Funding Amount
    $180,000.00
    Summary
    Structural reorganization of the hymenopteran mitochondrial genome. This study will be the first detailed investigation of the evolution of mt genome reorganization, and as such it will identify the processes that shape the evolution of a molecule widely used to interpret phylogeny. A description of the processes that lead to mt genome reorganization will have a substantial impact on our understanding in two areas of mt biology; (1) the discovery of new molecular phenomena that impact on the or .... Structural reorganization of the hymenopteran mitochondrial genome. This study will be the first detailed investigation of the evolution of mt genome reorganization, and as such it will identify the processes that shape the evolution of a molecule widely used to interpret phylogeny. A description of the processes that lead to mt genome reorganization will have a substantial impact on our understanding in two areas of mt biology; (1) the discovery of new molecular phenomena that impact on the organization and evolution of this genome, and (2) the interpretation of its phylogenetic content. It will establish our research group as a leader in the field of evolutionary genetics. Training of high quality students, with exposure to international researchers, will be a significant component of this program.
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    Funded Activity

    Discovery Projects - Grant ID: DP130102158

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    Refining the timescale of human evolution and dispersal using ancient DNA. Understanding the timescale of human evolution and migration is a key goal of genetic analysis. It provides the foundation for studying our evolutionary and demographic history, our relationships to other hominids and our impact on the natural world. This project aims to use ancient DNA data to improve estimates of our evolutionary timescale.
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