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Status : Active
Research Topic : VESTIBULAR DISEASE
Field of Research : Microbial genetics
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Microbial genetics (3)
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  • Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE240100388

    Funder
    Australian Research Council
    Funding Amount
    $437,977.00
    Summary
    Ecological and phylogenomic insights into infectious diseases in animals. This project aims to address major knowledge gaps in our understanding of Clostridium difficile, a leading cause of severe gastrointestinal disease in animals. The project is expected to define the epidemiology of C. difficile infection in Australian horses, characterise the genetic and phenotypic traits of C. difficile strains causing equine disease and develop a new tool for enhanced genomic tracking of C. difficile in a .... Ecological and phylogenomic insights into infectious diseases in animals. This project aims to address major knowledge gaps in our understanding of Clostridium difficile, a leading cause of severe gastrointestinal disease in animals. The project is expected to define the epidemiology of C. difficile infection in Australian horses, characterise the genetic and phenotypic traits of C. difficile strains causing equine disease and develop a new tool for enhanced genomic tracking of C. difficile in animals. These outcomes will support strategies by the veterinary sector to improve the detection, prevention and control of C. difficile infections in animals, providing long-term socio-economic benefits arising from reduced incidence and mortality associated with C. difficile infections in Australian horses and livestock.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP220100202

    Funder
    Australian Research Council
    Funding Amount
    $434,107.00
    Summary
    The infectome of NSW dairy calves, a genomic microbial surveillance . Infectious diseases are the main cause of disease and mortality in calves. The knowledge of the diversity of infectious disease-causing agents in NSW dairy cattle is not comprehensive. Thus, the immediate goal of this proposal is to redress this knowledge gap using untargeted microbial genomic sequencing to characterise and identify known and emerging enteric and respiratory pathogens in dairy calves. We will determine the occ .... The infectome of NSW dairy calves, a genomic microbial surveillance . Infectious diseases are the main cause of disease and mortality in calves. The knowledge of the diversity of infectious disease-causing agents in NSW dairy cattle is not comprehensive. Thus, the immediate goal of this proposal is to redress this knowledge gap using untargeted microbial genomic sequencing to characterise and identify known and emerging enteric and respiratory pathogens in dairy calves. We will determine the occurrence and distribution of their microbial species across all NSW dairy regions. This will enable the Australian dairy industry to improve animal health and productivity, and diagnostic capacity, which will allow farmers to make informed management decisions about disease control strategies.
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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT220100629

    Funder
    Australian Research Council
    Funding Amount
    $744,392.00
    Summary
    Data-driven phylodynamics: molecular evolution to epidemiology. This project aims to uncover how different environmental and ecological variables drive the emergence of pathogens with increased transmissibility or virulence, known as variants. This will be achieved through extensive analyses of virus genome data. This project expects to generate new knowledge in the field of pathogen evolution using novel data-driven statistical techniques for genomic analyses. Expected outcomes of this proje .... Data-driven phylodynamics: molecular evolution to epidemiology. This project aims to uncover how different environmental and ecological variables drive the emergence of pathogens with increased transmissibility or virulence, known as variants. This will be achieved through extensive analyses of virus genome data. This project expects to generate new knowledge in the field of pathogen evolution using novel data-driven statistical techniques for genomic analyses. Expected outcomes of this project are a new understanding of the circumstances under which pathogen variants emerge and a suite of statistical tools to exploit the vast genome data available. This should provide significant benefits by generating new knowledge with the potential to improve biosecurity, agriculture, and heath.
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