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Australian State/Territory : QLD
Research Topic : quantitative bacteriology
Australian State/Territory : ACT
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Quantitative Genetics (incl. Disease and Trait Mapping Genetics) (4)
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP210101317

    Funder
    Australian Research Council
    Funding Amount
    $458,000.00
    Summary
    Eradicating bacterial biofilms with nitroxide-antimicrobial hybrids. This project aims to develop new antimicrobials to address the rise of drug-resistant infections and resilient bacterial communities called biofilms. We aim to break new ground in our fundamental knowledge of antimicrobial mechanisms and exploit this understanding by fusing cellular/molecular microbiology and synthetic chemistry approaches. We seek to gain an in-depth understanding of how nitroxides induce bacterial biofilm dis .... Eradicating bacterial biofilms with nitroxide-antimicrobial hybrids. This project aims to develop new antimicrobials to address the rise of drug-resistant infections and resilient bacterial communities called biofilms. We aim to break new ground in our fundamental knowledge of antimicrobial mechanisms and exploit this understanding by fusing cellular/molecular microbiology and synthetic chemistry approaches. We seek to gain an in-depth understanding of how nitroxides induce bacterial biofilm dispersal, which is critical for the discovery of anti-biofilm molecules that do not fail due to resistance development. These breakthroughs should induce a step-change in our ability to reduce the occurrence of biofilm-related infection in fields ranging from medical and veterinary to biotechnology and agriculture.
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    Funded Activity

    Discovery Projects - Grant ID: DP130100612

    Funder
    Australian Research Council
    Funding Amount
    $341,000.00
    Summary
    Variation in the arginine vasopressin 1a receptor (AVPR1a) gene, the social environment, general health and wellbeing. The project aims to investigate how the arginine vasopressin 1a gene affects gene expression and influences social behaviour and ultimately health and wellbeing. This research will contribute to understanding the importance of individual differences in social policy and interventions aimed at improving health and wellbeing.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP200200927

    Funder
    Australian Research Council
    Funding Amount
    $785,312.00
    Summary
    Digging deeper to improve yield stability. This project aims to provide innovative breeding solutions that harness the ‘hidden’ part of the plant, roots, to support the development of more productive crops in the face of climate variability. The project expects to generate new insights into the biology and genetics of root development in barley, a model cereal crop, by applying cutting-edge genome editing, phenotyping and genomics technologies. Anticipated outcomes include novel methodologies to .... Digging deeper to improve yield stability. This project aims to provide innovative breeding solutions that harness the ‘hidden’ part of the plant, roots, to support the development of more productive crops in the face of climate variability. The project expects to generate new insights into the biology and genetics of root development in barley, a model cereal crop, by applying cutting-edge genome editing, phenotyping and genomics technologies. Anticipated outcomes include novel methodologies to accelerate breeding for diverse production environments, with direct applications in barley, and other major cereals including wheat and oats. This should provide significant economic and social benefits to the Australian grains industry through yield stability amidst climate variability.
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    Funded Activity

    Linkage Projects - Grant ID: LP100100495

    Funder
    Australian Research Council
    Funding Amount
    $710,280.00
    Summary
    Enabling Molecular Plant Breeding for Drought Adaptation Using Genome-to-Phenome Modelling Technologies. Effective molecular plant breeding for improved water productivity of sorghum would generate significant economic and social benefits for rural communities in NE Australia. There is a significant opportunity to expand the sorghum industry in the region. Despite the global financial crisis, global demand for meat continues to increase, generating strong demand from intensive livestock industri .... Enabling Molecular Plant Breeding for Drought Adaptation Using Genome-to-Phenome Modelling Technologies. Effective molecular plant breeding for improved water productivity of sorghum would generate significant economic and social benefits for rural communities in NE Australia. There is a significant opportunity to expand the sorghum industry in the region. Despite the global financial crisis, global demand for meat continues to increase, generating strong demand from intensive livestock industries for feed grain. Price is projected to return to high levels given continuing use of major feed grains for biofuel. A 10% increase in sorghum production would add net value of $48M annually, much via employment. The scientific content of this project positions Australia at the leading edge globally in this emerging research field.
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    Funded Activity

    Linkage Projects - Grant ID: LP140100572

    Funder
    Australian Research Council
    Funding Amount
    $630,000.00
    Summary
    TraitCapture: Genomic modelling for plant phenomics under environmental stress. This project aims to develop software to integrate new hyper-spectral and 3D growth models of plant phenomics with population genomics to identify heritable developmental traits across varied environments. Genome wide association studies aim to then be used to identify causal genes. Functional structural plant models incorporating genetic variation will be used to predict growth under simulated stress environments. .... TraitCapture: Genomic modelling for plant phenomics under environmental stress. This project aims to develop software to integrate new hyper-spectral and 3D growth models of plant phenomics with population genomics to identify heritable developmental traits across varied environments. Genome wide association studies aim to then be used to identify causal genes. Functional structural plant models incorporating genetic variation will be used to predict growth under simulated stress environments. The research team unites international industry, the Australian Plant Phenomics Facility, and university statistical geneticists. TraitCapture software will use open standards applicable to both controlled and field environments enabling plant breeders to pre-select adaptive traits to increase crop productivity under environmental stress.
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