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Research Topic : Microbial pathogenesis
Field of Research : Evolutionary Biology
Australian State/Territory : VIC
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  • Funded Activity

    ARC Future Fellowships - Grant ID: FT170100441

    Funder
    Australian Research Council
    Funding Amount
    $706,504.00
    Summary
    Tracking the molecular dynamics of adaptation with horizontal gene transfer. This project aims to track the dynamics of adaptation with gene exchange by building the first experimental evolution model that can directly observe this process. The acquisition of genes from other strains and species (horizontal gene transfer) frequently underlies bacterial adaptation, but it is unknown how this occurs. This project aims to shift understanding of how microbial populations respond to environmental cha .... Tracking the molecular dynamics of adaptation with horizontal gene transfer. This project aims to track the dynamics of adaptation with gene exchange by building the first experimental evolution model that can directly observe this process. The acquisition of genes from other strains and species (horizontal gene transfer) frequently underlies bacterial adaptation, but it is unknown how this occurs. This project aims to shift understanding of how microbial populations respond to environmental challenges. There are significant benefits to be gained from understanding how microbes adapt in response to climate change and the widespread application of antibiotics, given that microbial populations form intimate associations with humans and sustain all of the world’s ecosystems.
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    Funded Activity

    Discovery Projects - Grant ID: DP180102161

    Funder
    Australian Research Council
    Funding Amount
    $398,794.00
    Summary
    Experimental co-evolution of Yeast and E. coli. This project aims to measure the rates and genetic mechanisms of adaptation for individual species within a microbial community. Expected outcomes of this interdisciplinary project include the first genomic and phenotypic dataset of a model microbial community, and novel tools for the analysis of meta-genomic datasets. This project has the potential to transform understanding of microbial adaptation.
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