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Research Topic : phylogeny
Australian State/Territory : VIC
Field of Research : Genomics
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  • Funded Activity

    Discovery Projects - Grant ID: DP150100705

    Funder
    Australian Research Council
    Funding Amount
    $443,900.00
    Summary
    Genome dynamics following plastid endosymbiosis. Plastid endosymbiosis events (enslavement of an algal cell inside of a host cell to form a plastid) are difficult to pinpoint because the genomic data required for a broad array of species are rarely available. Furthermore, the classical method used to infer endosymbiotic gene transfers is being criticised. This project will elucidate the origin of chlorarachniophyte and dinoflagellate plastids and characterise the genome dynamics following endosy .... Genome dynamics following plastid endosymbiosis. Plastid endosymbiosis events (enslavement of an algal cell inside of a host cell to form a plastid) are difficult to pinpoint because the genomic data required for a broad array of species are rarely available. Furthermore, the classical method used to infer endosymbiotic gene transfers is being criticised. This project will elucidate the origin of chlorarachniophyte and dinoflagellate plastids and characterise the genome dynamics following endosymbiosis. It uses densely sampled genome data obtained with high-throughput sequencing technologies. Simulation studies will be used to evaluate methods for inferring endosymbiotic gene transfer and alignment-free methods will be used to improve phylogenomic pipelines.
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    Funded Activity

    Discovery Projects - Grant ID: DP180104195

    Funder
    Australian Research Council
    Funding Amount
    $397,872.00
    Summary
    Uncovering vertebrate lifespan biodiversity with whole genome sequencing. This project aims to integrate existing data on the genetic mechanisms of lifespan evolution in model systems with a novel combination of whole genome sequencing and comparative phylogenomics to reveal the common genomic signatures of lifespan evolution in vertebrates. Expected outcomes include a perspective on the evolution of lifespan, a topic of major health interest for Australia and the rest of the developed world. Th .... Uncovering vertebrate lifespan biodiversity with whole genome sequencing. This project aims to integrate existing data on the genetic mechanisms of lifespan evolution in model systems with a novel combination of whole genome sequencing and comparative phylogenomics to reveal the common genomic signatures of lifespan evolution in vertebrates. Expected outcomes include a perspective on the evolution of lifespan, a topic of major health interest for Australia and the rest of the developed world. This will provide significant benefits, such as long-term implications for aging research, with possible business applications. It will also increase Australia’s visibility and competitiveness in the developing field of bioinformatics.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP180100593

    Funder
    Australian Research Council
    Funding Amount
    $496,349.00
    Summary
    Real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply .... Real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply Sequential Monte Carlo to update phylogenetic analyses continuously as new data arrives. Expected outcomes include new knowledge of statistical algorithms for evolutionary analysis, relevant to biological disciplines beyond infectious disease; and enhanced capacity for infectious disease analysis.
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