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