Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statis ....Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statistical methods provide the opportunity to close this gap. The outcome will be identification of many genomic variants causing variation in complex traits. This will benefit scientific understanding of complex traits and the ability to predict traits for individuals from their genome sequence.Read moreRead less
Estimation of non-additive genetic variance for complex traits using genome-wide single nucleotide polymorphyisms and sequence data. Finding genes for traits of importance in agriculture, ecology and human health depends on understanding the genetic basis of these traits. This project will investigate whether variation in traits in humans, cattle and wild sheep are influenced by gene-gene interactions.
The genetic architecture and evolution of quantitative traits. Most important traits are controlled by many genes and by the environment, however there is little knowledge of how many genes are involved in these complex traits and what their effects are. This project will describe the number of genes and their effects for complex traits in humans and livestock and explain how these genes evolve.
Rapid mapping of genes for complex traits. This project will develop a new resource that will allow rapid identification of genes controlling complex traits. This world-leading resource will improve knowledge of diseases like diabetes and neurological diseases.
Mutational genetic variance and the fitness optimum. Mutation and selection are ubiquitous forces in nature, but we do not understand how genetic variation produced by mutation is maintained in the presence of selection that depletes it. The recent discovery of apparent stabilising selection on traits with high levels of genetic variation provides a new approach to understanding this paradox.
A genomic approach to understanding the maintenance of genetic variation under sexual selection. Using a model Australian species, this project will dissect the linkages between DNA sequence variation, gene expression, phenotypic traits and fitness in a natural population. Data will facilitate powerful tests of evolutionary processes thought to maintain genetic variation in complex traits.
The contribution of pleiotropic mutation to genetic variation and evolution. This project aims to provide an in-depth characterization of pleiotropic effects across many traits, including fitness, in an outbred population of the fly, Drosophila serrata. The potential for one gene to affect many traits, pleiotropy, has been recognised for over 100 years. Pleiotropy is expected to underlie diverse biological phenomena, including evolution and age-related human diseases. Despite this, the contribut ....The contribution of pleiotropic mutation to genetic variation and evolution. This project aims to provide an in-depth characterization of pleiotropic effects across many traits, including fitness, in an outbred population of the fly, Drosophila serrata. The potential for one gene to affect many traits, pleiotropy, has been recognised for over 100 years. Pleiotropy is expected to underlie diverse biological phenomena, including evolution and age-related human diseases. Despite this, the contribution of pleiotropy to variation among individuals in appearance and in fitness remains poorly understood. By measuring the extent of pleiotropy and its fitness consequences, this project aims to advance understanding of how mutation and selection shape genetic variation and evolutionary potential in natural populations.Read moreRead less
Dissecting natural variation in sexually dimorphic gene expression. This project aims to understand the origins of sex differences by dissecting heritable variation in sexually dimorphic gene expression. Sexual dimorphism constitutes a large fraction of phenotypic diversity and arises mainly from sex differences in gene expression that permit males and females of a species to escape sexual conflict caused by a shared genome. The project uses multi-population quantitative genetics and allele-spec ....Dissecting natural variation in sexually dimorphic gene expression. This project aims to understand the origins of sex differences by dissecting heritable variation in sexually dimorphic gene expression. Sexual dimorphism constitutes a large fraction of phenotypic diversity and arises mainly from sex differences in gene expression that permit males and females of a species to escape sexual conflict caused by a shared genome. The project uses multi-population quantitative genetics and allele-specific expression assays to merge the studies of sex-specific local adaptation and sexually dimorphic regulatory variation. The project will help to understand how cis- and trans- regulatory factors can affect natural variation differently in males and females, shaping their phenotypic similarities and differences.Read moreRead less
Resolving genomic sexual conflicts via sexually dimorphic gene expression. Using powerful genomic technology this project aims to assess the strength of regulatory constraints between males and females and determine whether cis-regulatory mutations help to resolve them. Sex-differences in traits like morphology, behaviour and disease susceptibility often involve sex-differences in the regulation of gene expression. To achieve optimal performance, males and females must express their genes at dif ....Resolving genomic sexual conflicts via sexually dimorphic gene expression. Using powerful genomic technology this project aims to assess the strength of regulatory constraints between males and females and determine whether cis-regulatory mutations help to resolve them. Sex-differences in traits like morphology, behaviour and disease susceptibility often involve sex-differences in the regulation of gene expression. To achieve optimal performance, males and females must express their genes at different levels. Theory and data suggest that for some genes this is not possible, and that males and females could each achieve higher performance if gene regulation became genetically uncoupled between them. It has been suggested that cis-regulatory mutations may be important for resolving regulatory incompatibilities within the genome.Read moreRead less
Reconceptualising industry sector development within the contemporary Australian city: The case of the information technology sector. This project will aim to uncover the reasons why Australia's Information Technology industry is ranked low among OECD countries by evaluating the impact of global and urban geography of the sector on the sector's performance. It will show how policies to achieve more advanced IT sector development need to consider Australia's distinctive position in the global eco ....Reconceptualising industry sector development within the contemporary Australian city: The case of the information technology sector. This project will aim to uncover the reasons why Australia's Information Technology industry is ranked low among OECD countries by evaluating the impact of global and urban geography of the sector on the sector's performance. It will show how policies to achieve more advanced IT sector development need to consider Australia's distinctive position in the global economy and particular factors in the Sydney and Melbourne IT clusters that both help, and hinder, development in ways not considered in present policy models.Read moreRead less