Genetic architecture and evolution of complex traits across populations. Most human traits have a genetic component and display substantial diversity within and among populations. How natural selection changes and maintains genetic variation in human traits is a long-standing question in evolution that the proposed project aims to answer. Using innovative statistical methods and largest genomic “big” datasets ever across populations of different ancestral backgrounds, this project expects to gen ....Genetic architecture and evolution of complex traits across populations. Most human traits have a genetic component and display substantial diversity within and among populations. How natural selection changes and maintains genetic variation in human traits is a long-standing question in evolution that the proposed project aims to answer. Using innovative statistical methods and largest genomic “big” datasets ever across populations of different ancestral backgrounds, this project expects to generate new knowledge on the roles of natural selection in shaping the genetic variation in traits and identify key factors that drive the differentiation of human populations. These outcomes will significantly improve our understanding on the evolution of human traits and adaptation of populations to changing environments.Read moreRead less
The nature of standing genetic variation. This project aims to expand understanding of the genetic variation underlying phenotypic differences among individuals. The nature of genetic variation has broad consequences across biology, from the detection of causal genetic variants to the adaptation of natural populations. This project will take a novel experimental approach to test several long-standing assumptions about the effects of new mutations on individual traits and their joint pleiotropic ....The nature of standing genetic variation. This project aims to expand understanding of the genetic variation underlying phenotypic differences among individuals. The nature of genetic variation has broad consequences across biology, from the detection of causal genetic variants to the adaptation of natural populations. This project will take a novel experimental approach to test several long-standing assumptions about the effects of new mutations on individual traits and their joint pleiotropic effect on fitness. By expanding our understanding of how mutation, selection and drift interact, this project could provide significant improvements in our understanding of the genetic basis of phenotypes, and our ability to predict phenotypic evolution.Read moreRead less
Understanding rapid adaptation to new environments. This project aims to improve understanding of the process of rapid adaptation. Through both in situ changes and movement of individuals, populations are increasingly encountering new environments, where they risk extinction or become invasive. The fate of populations is determined by how rapidly they adapt to their new environmental conditions. Recent theory predicts adaptation to novel environments is fastest when selection acts on environment ....Understanding rapid adaptation to new environments. This project aims to improve understanding of the process of rapid adaptation. Through both in situ changes and movement of individuals, populations are increasingly encountering new environments, where they risk extinction or become invasive. The fate of populations is determined by how rapidly they adapt to their new environmental conditions. Recent theory predicts adaptation to novel environments is fastest when selection acts on environment-specific genetic variation. This project will test this prediction using novel manipulations. Better understanding of adaptation will allow better prediction of the risks of both extinction and invasiveness of natural populations.Read moreRead less
Exposing the complex and flexible genetic basis to polygenic adaptation: integrating population and quantitative genomic approaches. Using leading-edge genomic approaches, the project will dissect the genetic basis to adaptation across an entire species range. The results will highlight the complex nature of adaptation to environmental change and will deliver new approaches to study it in natural populations.
DNA methylation in insect social evolution. This project will investigate the evolutionary relationship between DNA methylation and the advanced sociality displayed by bees, ants and wasps. The project will map DNA methylation across the social insects and test whether it has coevolved with sociality. It will also determine how a vital social cue, the queen pheromone, influences the worker methylome. Finally, it will apply quantitative genetic and methylomic methods to wild insects, revealing pa ....DNA methylation in insect social evolution. This project will investigate the evolutionary relationship between DNA methylation and the advanced sociality displayed by bees, ants and wasps. The project will map DNA methylation across the social insects and test whether it has coevolved with sociality. It will also determine how a vital social cue, the queen pheromone, influences the worker methylome. Finally, it will apply quantitative genetic and methylomic methods to wild insects, revealing patterns of selection and inheritance in epigenetic and phenotypic traits. By combining genomic and evolutionary methods, the project will advance the ongoing debate about the importance of methylation to sociality and extreme phenotypic plasticity. It will contribute to a quantum leap in our understanding of DNA methylation and sociobiology and mark the first application of quantitative genetics to wild insects.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100483
Funder
Australian Research Council
Funding Amount
$410,176.00
Summary
The effect of apparent stabilising selection on genetic architecture. This project aims to improve our understanding of the cause of evolutionary limits. It will test the prediction that trait combinations with high genetic variation are highly correlated with other traits, and therefore are more evolutionary limited than they appear. This project will develop and implement novel evolutionary and statistical manipulations and methods to test this prediction, and is expected to provide new method ....The effect of apparent stabilising selection on genetic architecture. This project aims to improve our understanding of the cause of evolutionary limits. It will test the prediction that trait combinations with high genetic variation are highly correlated with other traits, and therefore are more evolutionary limited than they appear. This project will develop and implement novel evolutionary and statistical manipulations and methods to test this prediction, and is expected to provide new methods for the study of selection. A better understanding of evolutionary limits will provide a significant benefit, enabling better predictions of how natural populations will evolve over short and long time-scales, and their risks of extinction.Read moreRead less
The role of X-chromosome inactivation in quantitative trait variation. This project aims to develop methods and software that can be applied to genetic and genomic studies in animal breeding, wildlife protection, and humans. X-chromosome inactivation (XCI) is an important biological phenomenon but its effect on quantitative trait variation remains largely unknown. This project aims to develop novel statistical methods to estimate the X-linked genetic variance and the proportion that escapes XCI, ....The role of X-chromosome inactivation in quantitative trait variation. This project aims to develop methods and software that can be applied to genetic and genomic studies in animal breeding, wildlife protection, and humans. X-chromosome inactivation (XCI) is an important biological phenomenon but its effect on quantitative trait variation remains largely unknown. This project aims to develop novel statistical methods to estimate the X-linked genetic variance and the proportion that escapes XCI, and identify trait-associated genetic variants affected and not affected by XCI. The methods would then be applied to large datasets from genome-wide association studies for a large number of traits. Project outcomes may enable us to better understand the role of XCI in quantitative trait variation and gene expression in humans and animals.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100883
Funder
Australian Research Council
Funding Amount
$365,058.00
Summary
Palaeo-population genomics: studying adaptation using ancient human DNA. This project aims to apply state-of-the-art population and quantitative genetic techniques to a powerful new database of ancient human genomes - spanning from hunter gatherers and early farmers through to the Middle Ages. This will be used to build the first detailed portrait of human genetic adaptation through time. This record will capture the major socio-cultural transitions in human history, and reveal the genetic and e ....Palaeo-population genomics: studying adaptation using ancient human DNA. This project aims to apply state-of-the-art population and quantitative genetic techniques to a powerful new database of ancient human genomes - spanning from hunter gatherers and early farmers through to the Middle Ages. This will be used to build the first detailed portrait of human genetic adaptation through time. This record will capture the major socio-cultural transitions in human history, and reveal the genetic and environmental drivers that have shaped modern human genetic diversity and pathology.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL180100072
Funder
Australian Research Council
Funding Amount
$3,460,832.00
Summary
Causes and consequence of human trait variation. This project aims to exploit the availability of Big Data from the genomics revolution to understand the relationship between the genome, the environment and complex human traits. New statistical methods and user-friendly software tools will be developed and applied to datasets on millions of individuals to generate new knowledge on human life history variation and healthy ageing. This project will position Australia to benefit from rapid advances ....Causes and consequence of human trait variation. This project aims to exploit the availability of Big Data from the genomics revolution to understand the relationship between the genome, the environment and complex human traits. New statistical methods and user-friendly software tools will be developed and applied to datasets on millions of individuals to generate new knowledge on human life history variation and healthy ageing. This project will position Australia to benefit from rapid advances in genomic technologies, to build and sustain critical capacity in statistical genetics, and better understand the causes and consequence of individual differences in human traits from genetic and environmental factors across the entire human lifespan.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL200100068
Funder
Australian Research Council
Funding Amount
$3,328,974.00
Summary
Australian wild animals: environmental change and quantitative genomics. This project aims to determine the effects of changing environments on wild animal populations across Australia. By combining recent advances in genomic technology with a consortium of fourteen long-term studies of mammals, birds and reptiles, it aims to quantify the genetic basis of life-history variation and the potential for evolutionary adaptation in the wild. The project will generate a comprehensive understanding of t ....Australian wild animals: environmental change and quantitative genomics. This project aims to determine the effects of changing environments on wild animal populations across Australia. By combining recent advances in genomic technology with a consortium of fourteen long-term studies of mammals, birds and reptiles, it aims to quantify the genetic basis of life-history variation and the potential for evolutionary adaptation in the wild. The project will generate a comprehensive understanding of the genetic consequences of environmental change, population decline, inbreeding and disease in natural environments. The expected benefits include a coordinated network for long-term wild animal studies in Australia, advanced quantitative skills training, and knowledge transfer for wildlife management and conservation.Read moreRead less