ARC Centre in Bioinformatics. The Australian Centre for Genome-Phenome Bioinformatics will examine how the genome comes to life in the mammalian cell during differentiation and development. We will model, visualise and experimentally validate the complex cellular systems and regulatory networks that control the transformation of genomic information into biological structure and function. We will develop novel approaches and tools to improve health, optimise agricultural production and exploit ne ....ARC Centre in Bioinformatics. The Australian Centre for Genome-Phenome Bioinformatics will examine how the genome comes to life in the mammalian cell during differentiation and development. We will model, visualise and experimentally validate the complex cellular systems and regulatory networks that control the transformation of genomic information into biological structure and function. We will develop novel approaches and tools to improve health, optimise agricultural production and exploit new cell technologies. The Centre will build critical mass and national focus in bioinformatics to generate the human capital and intellectual property that Australia needs to compete in advanced bioscience and biotechnology.Read moreRead less
How does an essential histone variant effect changes in gene expression? The mechanisms that determine how genes are switched on and off in different tissues and at different times are not clearly known. It is well established that gene expression patterns are determined in part by the molecular signals transmitted by variation in the proteins that package eukaryotic DNA. Our aim is to understand new aspects of these mechanisms that revolve around how our DNA is packaged. This foundational knowl ....How does an essential histone variant effect changes in gene expression? The mechanisms that determine how genes are switched on and off in different tissues and at different times are not clearly known. It is well established that gene expression patterns are determined in part by the molecular signals transmitted by variation in the proteins that package eukaryotic DNA. Our aim is to understand new aspects of these mechanisms that revolve around how our DNA is packaged. This foundational knowledge will deepen our understanding of gene regulation in all complex organisms and will inform future efforts to rationally modulate gene expression patterns in agriculture, research and other important areas.Read moreRead less
Transcription factors find their targets by reading the epigenetic code. This project aims to elucidate how transcription factors, proteins that regulate gene expression, find their target genes. The hypothesis is that non-DNA binding domains play an essential role in this process. This project expects to transform our understanding of transcription factor families, and how factors in families with the same DNA-binding domain manage to regulate different genes. Expected outcomes of this project ....Transcription factors find their targets by reading the epigenetic code. This project aims to elucidate how transcription factors, proteins that regulate gene expression, find their target genes. The hypothesis is that non-DNA binding domains play an essential role in this process. This project expects to transform our understanding of transcription factor families, and how factors in families with the same DNA-binding domain manage to regulate different genes. Expected outcomes of this project include revealing how accessory proteins help transcription factors identify their targets in the genome by reading epigenetic marks. This should provide significant benefits including improved design of artificial transcription factors to up- or down-regulate specific genes in research and agriculture.Read moreRead less
Uniting histone and transcription factor codes. This project aims to establish the general features of the “histone code”. It is well established that gene expression patterns are determined in part by the deposition, recognition and removal of post-translational modifications on the histone proteins that package eukaryotic DNA. This project proposes that this "histone code" is in fact a specific example of a transcription factor code. The project aims to enhance our understanding of the mechani ....Uniting histone and transcription factor codes. This project aims to establish the general features of the “histone code”. It is well established that gene expression patterns are determined in part by the deposition, recognition and removal of post-translational modifications on the histone proteins that package eukaryotic DNA. This project proposes that this "histone code" is in fact a specific example of a transcription factor code. The project aims to enhance our understanding of the mechanisms underlying gene regulation in plants and animals, and help to create improved strategies to optimise crop and farm animal properties and new-generation therapeutics.Read moreRead less
Methods to infer dense genomic information from sparsely genotyped populations. Prediction of phenotype based on DNA polymorphisms or sequence has important applications such as prediction of disease risk in human medicine and prediction of genetic value in plant or animal breeding. This project will enhance precision and lower the cost of association studies leading to substantial increase in accuracy of such predictions. This will allow more effective genetic improvement, particularly of diff ....Methods to infer dense genomic information from sparsely genotyped populations. Prediction of phenotype based on DNA polymorphisms or sequence has important applications such as prediction of disease risk in human medicine and prediction of genetic value in plant or animal breeding. This project will enhance precision and lower the cost of association studies leading to substantial increase in accuracy of such predictions. This will allow more effective genetic improvement, particularly of difficult but important traits such as disease resistance, reduced green-house gas emissions and product quality. The same methods can be extended to improve genetic improvement in plants and better prediction of human disease risk. Read moreRead less
Characterising inheritance patterns of whole genome DNA methylation. This project aims to characterise epigenetic diversity and inheritance patterns in whole genome sequencing data from a unique human population. The project will employ the well-characterised Norfolk Island genetic isolate, cost-effective whole genome bisulphite sequencing technologies and advanced bioinformatics pipelines and statistical models. It will involve cross-discipline collaboration between human geneticists, epigeneti ....Characterising inheritance patterns of whole genome DNA methylation. This project aims to characterise epigenetic diversity and inheritance patterns in whole genome sequencing data from a unique human population. The project will employ the well-characterised Norfolk Island genetic isolate, cost-effective whole genome bisulphite sequencing technologies and advanced bioinformatics pipelines and statistical models. It will involve cross-discipline collaboration between human geneticists, epigeneticists, statistical geneticists and bioinformaticians. This project will advance our understanding of the interaction of genetics and epigenetics and their relationship to diversity and inheritance in humans.Read moreRead less
Sexual antagonism and the consequences of sex-specific selection. Males and females arise from essentially the same genome yet are selected in vastly different ways. This exposes gene pools to alternate episodes of feminising- and masculinising-selection, thereby promoting Sexually Antagonistic (SA) evolution. Sex chromosomes are predicted to play an important role in SA evolution because sex-linkage allows for gender-specific gene expression, but data on the role of sex-linked genes are limited ....Sexual antagonism and the consequences of sex-specific selection. Males and females arise from essentially the same genome yet are selected in vastly different ways. This exposes gene pools to alternate episodes of feminising- and masculinising-selection, thereby promoting Sexually Antagonistic (SA) evolution. Sex chromosomes are predicted to play an important role in SA evolution because sex-linkage allows for gender-specific gene expression, but data on the role of sex-linked genes are limited to Drosophila, a male heterogametic (XY) model. This project will determine the consequences of SA selection in the butterfly Eurema hecabe (a female ZW heterogamete) using experimental evolution and the feminising endosymbiont Wolbachia to force male genomes through bouts of feminising selection.Read moreRead less
Evolution, selection and estimation of polygenic epistatic networks in quantitative traits. Traits observed in organisms, such as height, are the result of an individual's genes and how they relate to the environment. But genes do not act alone; they work together in complex interactions. This project aims to understand these interactions and their role in animal production and human disease.
The behaviour-genetics of NAPLAN data: Increasing power for complex analyses. This longitudinal behaviour-genetic study of the National Assessment Program – Literacy and Numeracy (NAPLAN) results at Grades 3, 5, 7 and 9 will continue to document the influence of genes and environmental factors on individual differences in school achievement. It aims to strengthen the longitudinal aspects of the data, allowing the project to identify sources of stability and change across the seven school years o ....The behaviour-genetics of NAPLAN data: Increasing power for complex analyses. This longitudinal behaviour-genetic study of the National Assessment Program – Literacy and Numeracy (NAPLAN) results at Grades 3, 5, 7 and 9 will continue to document the influence of genes and environmental factors on individual differences in school achievement. It aims to strengthen the longitudinal aspects of the data, allowing the project to identify sources of stability and change across the seven school years of the NAPLAN. It also aims to increase numbers in the low and high tails of the score distributions, creating a clearer picture of deficits like dyslexia and dyscalculia, and allow for firmer identification of gene-by-environment interactions. The project aims to further illuminate any differential effectiveness of schools and teachers on student outcomes, a topic of high public interest.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.