Changing the classification status quo with a global genome-based taxonomy. A grand challenge in biology is the reconstruction of the complete evolutionary history of life on our planet. A major hurdle to this goal has been the inability to culture most microbial species which comprise the bulk of evolutionary diversity. However, new molecular techniques have removed this hurdle and >1,000 new microbial species are being revealed each month through sequencing of environmental samples. This proje ....Changing the classification status quo with a global genome-based taxonomy. A grand challenge in biology is the reconstruction of the complete evolutionary history of life on our planet. A major hurdle to this goal has been the inability to culture most microbial species which comprise the bulk of evolutionary diversity. However, new molecular techniques have removed this hurdle and >1,000 new microbial species are being revealed each month through sequencing of environmental samples. This project aims to organise both cultured and uncultured microbial diversity into a systematic evolutionary framework to replace the current highly flawed and incomplete classification of microorganisms. The systematic classification of the microbial world is timely and will enable fundamental insights into ecology and evolution.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100614
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Novel statistical algorithms and methods to quantify and partition pleiotropy between complex traits in populations. A fundamental question in biology is how common genetic effects are shared between traits or groups. For example, is cognition or human behaviour genetically identical across genders or across human population groups? This project will address these questions using multiple independent genome-wide association studies.
Australian Laureate Fellowships - Grant ID: FL150100038
Funder
Australian Research Council
Funding Amount
$2,982,714.00
Summary
Reconstructing the universal tree and network of life. Reconstructing the universal tree and network of life: This fellowship project aims to obtain 100 000 genome sequences and systematically organise these into natural phylogenetic relationships comprising both vertical inheritance and lateral transfers. One of the challenges in biology today is to reconstruct the complete evolutionary history of life on Earth. A major hurdle to this goal is our inability to culture most microbial species whic ....Reconstructing the universal tree and network of life. Reconstructing the universal tree and network of life: This fellowship project aims to obtain 100 000 genome sequences and systematically organise these into natural phylogenetic relationships comprising both vertical inheritance and lateral transfers. One of the challenges in biology today is to reconstruct the complete evolutionary history of life on Earth. A major hurdle to this goal is our inability to culture most microbial species which comprise the bulk of evolutionary diversity. The framework developed in this project seeks to replace the current incomplete classification of microorganisms to provide fundamental insights into ecology and evolution. It is hoped that the outcomes of the project can be applied to manage risk and capture opportunities in important Australian industries including agriculture, mining and biotechnology.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.
Estimating genotype-environment interaction using genomic information. This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and meth ....Estimating genotype-environment interaction using genomic information. This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and methods and an efficient algorithm implemented in software, which would broadly benefit the field of complex trait genetics. Methods to estimate genotype–environment interaction effects at the genomic level would help elucidate complex biological systems, including human genetic response to changing environmental factors and the potential adaptation of animals to changing environmental conditions.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