Insect age: an ecological genomics approach to understanding host-parasite interactions. The importance of insect age (or the age structure of a population of insects) in understanding relationships between insects and their abiotic and biotic environment has been stressed in many theoretical studies but seldom directly tested. This is because few tools exist that can accurately measure the age of a wild-caught insect with any accuracy. In this proposal we plan to use a genomics approach to deve ....Insect age: an ecological genomics approach to understanding host-parasite interactions. The importance of insect age (or the age structure of a population of insects) in understanding relationships between insects and their abiotic and biotic environment has been stressed in many theoretical studies but seldom directly tested. This is because few tools exist that can accurately measure the age of a wild-caught insect with any accuracy. In this proposal we plan to use a genomics approach to develop tools that can be used to efficiently determine the age of an insect and then apply these tools to better understand the relationship between insect age and the ability of an insect to transmit pathogens to humans, livestock or plants. These tools will also have future applicability in developing new approaches to control insect transmitted disease as well as provide methodology to determine the effectiveness of current control programs that seek to kill pest insect populations of agricultural or public health significance.Read moreRead less
Novel bioinformatics approaches for biological inference from comparative genomics data. Unlocking the potential of the human and other genome sequences depends almost entirely upon comparative genomics techniques. We will develop powerful bioinformatic models, implemented as high-performance computing solutions, for the examination of gene sequences. Improving these models, which represent the initial building block for all comparative genomics techniques, will be beneficial across genomics dep ....Novel bioinformatics approaches for biological inference from comparative genomics data. Unlocking the potential of the human and other genome sequences depends almost entirely upon comparative genomics techniques. We will develop powerful bioinformatic models, implemented as high-performance computing solutions, for the examination of gene sequences. Improving these models, which represent the initial building block for all comparative genomics techniques, will be beneficial across genomics dependent industries. A major outcome from this work will be an integrated software/hardware product optimised for statistical examination of very large-scale genomics data.Read moreRead less