Cellular genomic approach to the pathogenesis of multiple sclerosis. This project compares the levels of gene usage in two important immune cell types between patients with multiple sclerosis and people who do not have the disease. It aims to identify the molecular basis for the disease, in order to identify new diagnostic, preventative and treatment options.
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.
Generating a targeted mutation resource in zebrafish. How do genes function to build organisms and how are they regulated to produce organs and tissues? Using a new technique to target specific genes in the genome of zebrafish, this project will determine how genes control formation of different tissues. The new gene "knockout" technology will fundamentally change our understanding of how genes work during development.
Mapping recombination blocks in Brassica. DNA technology provides new ways to study genomes. Understanding how the genome behaves during plant breeding will help design strategies for the breeding and selection of improved crop plants.
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
How novel ribosomal RNA gene repeat variants drive cellular function. The hundreds of ribosomal RNA gene repeat copies are a remarkable part of our genomes, as they encode the machinery responsible for all cellular protein synthesis and shape the structure of the nucleus. However, due to their high degree of sequence similarity, they still have not been assembled into the human genome reference. This project will resolve this impasse and furthermore uncover the functional impacts of a newly iden ....How novel ribosomal RNA gene repeat variants drive cellular function. The hundreds of ribosomal RNA gene repeat copies are a remarkable part of our genomes, as they encode the machinery responsible for all cellular protein synthesis and shape the structure of the nucleus. However, due to their high degree of sequence similarity, they still have not been assembled into the human genome reference. This project will resolve this impasse and furthermore uncover the functional impacts of a newly identified molecular diversity in the ribosomal RNA gene repeats. Outcomes include new paradigms for how the ribosomal RNA gene repeats drive protein synthesis and genome structure, and a blueprint to develop novel genomics applications for human health, biotechnology, and agriculture.Read moreRead less
Genome-wide discovery of translation control mechanisms. This project aims to reveal currently unknown molecular details of protein synthesis, a step of gene expression that is central to all of life. To achieve this, innovative methods based on next-generation sequencing will be deployed in the yeast model organism. Yeasts are of importance as pathogens as well as in the food and biotechnology industry sector. Thus, new knowledge generated in this project will help solve problems of invasive pa ....Genome-wide discovery of translation control mechanisms. This project aims to reveal currently unknown molecular details of protein synthesis, a step of gene expression that is central to all of life. To achieve this, innovative methods based on next-generation sequencing will be deployed in the yeast model organism. Yeasts are of importance as pathogens as well as in the food and biotechnology industry sector. Thus, new knowledge generated in this project will help solve problems of invasive pathogenic behaviour and biomass production.Read moreRead less
The characterization of tiny Ribonucleic acids in animal epigenetics. Epigenetics, the inheritance of traits not encoded in deoxyribonucleic acid (DNA), is not well understood in animals. This project will investigate two classes of Ribonucleic acid (RNA) that may form part of an animal-specific epigenetic regulatory system. This study could revolutionize our understanding of animal genetics.