Australian Laureate Fellowships - Grant ID: FL170100022
Funder
Australian Research Council
Funding Amount
$3,402,903.00
Summary
Redefining virus ecology and evolution. This project aims to employ novel genomic analyses of viruses from Australian fauna to resolve major questions in RNA virus ecology and evolution, and is expected to reveal the basic processes that shape the virosphere, determine how viruses jump species to emerge and cause disease in new hosts, and how viruses evolve new levels of virulence. The research will provide a new understanding of how viruses evolve and contribute to global ecosystems and develop ....Redefining virus ecology and evolution. This project aims to employ novel genomic analyses of viruses from Australian fauna to resolve major questions in RNA virus ecology and evolution, and is expected to reveal the basic processes that shape the virosphere, determine how viruses jump species to emerge and cause disease in new hosts, and how viruses evolve new levels of virulence. The research will provide a new understanding of how viruses evolve and contribute to global ecosystems and develop new bioinformatics tools to identify and analyse highly divergent genome sequences through studying meta-transcriptomic data from diverse animal phyla, from prokaryotes and basal eukaryotes, from iconic native mammalian species and their major invasive pests. The benefits provided will include determining the viromes of native and invasive species and enhancing the efforts to protect iconic Australian species from infectious disease.Read moreRead less
Whole-genome multivariate reaction norm model for complex traits. This project aims to develop a multivariate whole-genome genotype-covariate correlation and interaction model that can be applied to a wide range of existing genome-wide association study (GWAS) datasets. Genotype-covariate correlation and interaction (GCCI) are fundamental in biology but there is no standard approach to disentangle interaction from correlation in the whole-genome analyses. This project will address the key featur ....Whole-genome multivariate reaction norm model for complex traits. This project aims to develop a multivariate whole-genome genotype-covariate correlation and interaction model that can be applied to a wide range of existing genome-wide association study (GWAS) datasets. Genotype-covariate correlation and interaction (GCCI) are fundamental in biology but there is no standard approach to disentangle interaction from correlation in the whole-genome analyses. This project will address the key feature in biology, which relates to dissecting the complex mechanism of association and interaction. The proposed statistical model implemented in a context of a novel design based on multiple GWAS data sets is a paradigm shifting-tool with applications to multiple industries.Read moreRead less
Evolution and function of mammalian sex chromosomes. Research on iconic Australian mammals has profoundly reshaped our understanding of reproductive biology and sex chromosome evolution. In this project we combine unique expertise, international collaboration and novel genetic information about Australia's unique egg-laying mammals (echidna and platypus) to investigate major aspects of reproduction. This work will address fundamental aspects of sex chromosome biology and advance our understandin ....Evolution and function of mammalian sex chromosomes. Research on iconic Australian mammals has profoundly reshaped our understanding of reproductive biology and sex chromosome evolution. In this project we combine unique expertise, international collaboration and novel genetic information about Australia's unique egg-laying mammals (echidna and platypus) to investigate major aspects of reproduction. This work will address fundamental aspects of sex chromosome biology and advance our understanding of mammalian reproduction. The knowledge gained will have application in captive breeding and conservation of these extraordinary Australian mammals. The project also provides opportunity to train research students in cutting edge molecular biology and informatics.Read moreRead less
Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, populat ....Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, population samples or from different populations (e.g. multi-ethnicities or multi-breeds). The expected outcome is to better understand the dynamic architecture of complex traits and develop methods with improved power, precision and accuracy in genomic analyses.Read moreRead less