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

    ARC Centres Of Excellence - Grant ID: CE1101007

    Funder
    Australian Research Council
    Funding Amount
    $19,250,000.00
    Summary
    ARC Centre of Excellence in Plant Cell Wall Biology. The ARC Centre for Plant Cell Wall Biology will define the regulatory mechanisms that control molecular, enzymic and cellular processes involved in the synthesis, deposition, re-modelling and depolymerisation of cell wall polysaccharides of cereals and grasses. Plant cell walls represent the world's largest renewable carbon resource, but the regulatory mechanisms responsible for their synthesis and assembly are not understood. Key distinguishi .... ARC Centre of Excellence in Plant Cell Wall Biology. The ARC Centre for Plant Cell Wall Biology will define the regulatory mechanisms that control molecular, enzymic and cellular processes involved in the synthesis, deposition, re-modelling and depolymerisation of cell wall polysaccharides of cereals and grasses. Plant cell walls represent the world's largest renewable carbon resource, but the regulatory mechanisms responsible for their synthesis and assembly are not understood. Key distinguishing features of the Centre will be the international, integrative, and multidisciplinary approach towards addressing major questions in plant biology, its strategy to leverage ARC funding, and its linkages with potential national and international end-users of the fundamental scientific discoveries.
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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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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE240100959

    Funder
    Australian Research Council
    Funding Amount
    $375,000.00
    Summary
    Unlocking The Agricultural Potential Of The Dark Genome. Sustaining competitive agricultural production in the face of climate change demands more resilient, diverse, and adaptable crop varieties. Studies on the genes of crop plants have had huge benefits for agriculture, but genes themselves make up only a tiny fraction of the genome. It has until recently been impossible to assemble the 'dark' space between genes. Using ultra-modern barley genomes, this project aims to harness information from .... Unlocking The Agricultural Potential Of The Dark Genome. Sustaining competitive agricultural production in the face of climate change demands more resilient, diverse, and adaptable crop varieties. Studies on the genes of crop plants have had huge benefits for agriculture, but genes themselves make up only a tiny fraction of the genome. It has until recently been impossible to assemble the 'dark' space between genes. Using ultra-modern barley genomes, this project aims to harness information from the dark genome to (i) discover new genes with agricultural importance, (ii) illuminate invisible genomic features that can slow down plant breeding programs, and (iii) identify opportunities to transfer useful new genes into the cultivated gene pool.
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