Improving the accuracy of phylogenetic reconstruction by improving models of sequence divergence. Phylogenies describe the relationships among species and provide the essential framework for understanding evolutionary processes. They are an essential tool in the identification of functionally important regions in DNA sequences. An important aspect of identifying phylogenies is measuring how DNA sequences change in time. The proposed research will develop sophisticated, practical models of sequen ....Improving the accuracy of phylogenetic reconstruction by improving models of sequence divergence. Phylogenies describe the relationships among species and provide the essential framework for understanding evolutionary processes. They are an essential tool in the identification of functionally important regions in DNA sequences. An important aspect of identifying phylogenies is measuring how DNA sequences change in time. The proposed research will develop sophisticated, practical models of sequence divergence and make them freely available in open source software. The software and models will positively impact on studies seeking to understand Australian biological diversity. The proposed resolution of the eutherian mammal orders will further significantly impact on utilisation of rodents as a model organism for human biology.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
Evolution and functional impact of gene silencing by hairpin derived RNAs. This project aims to study RNA-mediated gene silencing in genome evolution. RNA interference (RNAi) has been widely used as an experimental tool since its Nobel Prize-winning discovery in 1998, but little is known about endogenous RNAi or its evolution. This project uses bioinformatics, high-throughput sequencing and molecular approaches to study hpRNAs, a class of small interfering RNAs, their adaptive evolution across f ....Evolution and functional impact of gene silencing by hairpin derived RNAs. This project aims to study RNA-mediated gene silencing in genome evolution. RNA interference (RNAi) has been widely used as an experimental tool since its Nobel Prize-winning discovery in 1998, but little is known about endogenous RNAi or its evolution. This project uses bioinformatics, high-throughput sequencing and molecular approaches to study hpRNAs, a class of small interfering RNAs, their adaptive evolution across fly species and vertebrates, and their functional effect on testis morphogenesis and distortion of female/male sex-ratio. The project also studies splicing-dependent small RNAs and miRNA-target interaction. This research could have applications from animal development to human pathology.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130101450
Funder
Australian Research Council
Funding Amount
$374,300.00
Summary
The molecular basis of division of labour in the beehive. This study will dissect the genes and gene networks underpinning behaviour using cutting edge molecular and computational techniques. As a model, this project will study the division of labour in a social insect, the honeybee.
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.Read moreRead less