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
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