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Australian State/Territory : TAS
Research Topic : host range
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  • Funded Activity

    Discovery Projects - Grant ID: DP150101253

    Funder
    Australian Research Council
    Funding Amount
    $469,800.00
    Summary
    Evolutionary history and impact of adeno-associated viruses in Australia. Recently accrued evidence identifies Australia as an ideal closed-model system in which to elucidate the evolutionary history of a group of non-pathogenic viruses, known as adeno-associated viruses (AAVs). This project aims to trace back the evolutionary history of AAVs for tens of millions of years via molecular fossil imprints left behind by ancient viral invasions of Australian marsupial genomes. Concurrently, the poten .... Evolutionary history and impact of adeno-associated viruses in Australia. Recently accrued evidence identifies Australia as an ideal closed-model system in which to elucidate the evolutionary history of a group of non-pathogenic viruses, known as adeno-associated viruses (AAVs). This project aims to trace back the evolutionary history of AAVs for tens of millions of years via molecular fossil imprints left behind by ancient viral invasions of Australian marsupial genomes. Concurrently, the potential impact that these viral invasions had on the evolutionary development of their ancestral hosts will be investigated. This could facilitate previously unattainable insights into both AAV and marsupial evolution, with broader implications relevant to the advancement of the fields of virology and mammalian evolution.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230100162

    Funder
    Australian Research Council
    Funding Amount
    $387,788.00
    Summary
    Contact Networks, Immunity, and Evolution in Competing Cancer Epidemics. The project aims to evaluate evolutionary interactions between two transmissible cancer epidemics affecting Tasmanian devils and quantify their feedback on infection risk and epidemic behaviour. Using contact tracing and a phylogenetic framework we aim to quantify how tumour lineages evolve with each generation of infection and their effects on susceptibility to infection and disease progression. We expect to reveal the hos .... Contact Networks, Immunity, and Evolution in Competing Cancer Epidemics. The project aims to evaluate evolutionary interactions between two transmissible cancer epidemics affecting Tasmanian devils and quantify their feedback on infection risk and epidemic behaviour. Using contact tracing and a phylogenetic framework we aim to quantify how tumour lineages evolve with each generation of infection and their effects on susceptibility to infection and disease progression. We expect to reveal the host immuno-genetic basis underpinning cancer suppression and the adaptive capacity of populations in response to infectious diseases. This should significantly improve our ability to understand and manage this and other epidemic outbreaks in wildlife, as well as advancing our knowledge in cancer ecology and evolution.
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    Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE170101116

    Funder
    Australian Research Council
    Funding Amount
    $370,159.00
    Summary
    Adaptations in Tasmanian devil facial tumour disease. This project aims to understand how defence mechanisms against infectious diseases arise and evolve in nature. Infectious diseases exert strong evolutionary pressures on populations, forcing the development of adaptive strategies to fight the costs of infection. The project aims to determine individual differences in response to infection and how these affect population-scale transmission and evolutionary dynamics under natural and managed sc .... Adaptations in Tasmanian devil facial tumour disease. This project aims to understand how defence mechanisms against infectious diseases arise and evolve in nature. Infectious diseases exert strong evolutionary pressures on populations, forcing the development of adaptive strategies to fight the costs of infection. The project aims to determine individual differences in response to infection and how these affect population-scale transmission and evolutionary dynamics under natural and managed scenarios. This is expected to reveal populations’ adaptive capability and resilience against diseases and the effects of management interventions in controlling disease outbreaks and preventing population declines or extinctions.
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