Discovery Early Career Researcher Award - Grant ID: DE140100958
Funder
Australian Research Council
Funding Amount
$394,112.00
Summary
Understanding how shared between-sex genetic variance constrains the evolution of sexual dimorphism. Differences between males and females in the expression of shared traits have been of lasting interest to biologists. One fundamental question, which is as yet poorly understood, regards the extent to which a common genome restricts the independent evolution of the sexes. This project proposes a novel way of examining the degree to which the shared genetic architecture restricts the evolution of ....Understanding how shared between-sex genetic variance constrains the evolution of sexual dimorphism. Differences between males and females in the expression of shared traits have been of lasting interest to biologists. One fundamental question, which is as yet poorly understood, regards the extent to which a common genome restricts the independent evolution of the sexes. This project proposes a novel way of examining the degree to which the shared genetic architecture restricts the evolution of the sexes and the costs this imposes on population fitness. The results from the proposed experiments will give a clearer picture of how current measures reflect the true genetic constraint imposed on the sexes from a shared genetic architecture.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100635
Funder
Australian Research Council
Funding Amount
$365,058.00
Summary
Demographic distribution models for ecology, conservation & public health. This project aims to advance distribution modelling by developing a new demographic species distribution modelling (DSDM) framework that unites correlative and process-based approaches. This project will develop ecologically realistic models of the distributions of species and diseases, leading to better decision-making in conservation and public health. This will provide significant benefits, such as a better understandi ....Demographic distribution models for ecology, conservation & public health. This project aims to advance distribution modelling by developing a new demographic species distribution modelling (DSDM) framework that unites correlative and process-based approaches. This project will develop ecologically realistic models of the distributions of species and diseases, leading to better decision-making in conservation and public health. This will provide significant benefits, such as a better understanding of where and how to control mosquitoes to reduce malaria transmission in Africa, how best to conserve the vulnerable greater glider in Eastern Australia, and to forecast where and when outbreaks of Ross River virus are likely occur in Victoria.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100238
Funder
Australian Research Council
Funding Amount
$379,574.00
Summary
Chlamydial infections of birds, domesticated animals and humans. This project aims to investigate the epidemiology of an avian Chlamydia pathogen that is known to infect humans and animals, causing serious disease. Utilising molecular epidemiology approaches, this project will generate new knowledge about dynamics of where, when and how this infection spill-over occurs between different hosts. This project also aims to extend early development work on an innovative diagnostic system for detectio ....Chlamydial infections of birds, domesticated animals and humans. This project aims to investigate the epidemiology of an avian Chlamydia pathogen that is known to infect humans and animals, causing serious disease. Utilising molecular epidemiology approaches, this project will generate new knowledge about dynamics of where, when and how this infection spill-over occurs between different hosts. This project also aims to extend early development work on an innovative diagnostic system for detection of chlamydia in laboratory and point-of-care scenarios. The expected outcomes are a greatly enhanced understanding of infections in humans and animals caused by this understudied pathogen, which will allow for more effective control and management of these infections.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.
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
Discovery Early Career Researcher Award - Grant ID: DE130100660
Funder
Australian Research Council
Funding Amount
$358,731.00
Summary
Simulating social networks to understand how neighbourhood factors influence health. Where you live and who you know has implications for your health. This study will use social network models to understand how social characteristics of neighbourhoods influence health. The new insights gained will help policy makers to develop better strategies for reducing health inequalities and improving health outcomes.
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
Discovery Early Career Researcher Award - Grant ID: DE210101407
Funder
Australian Research Council
Funding Amount
$447,524.00
Summary
Revealing and navigating a path to climate-ready crops. This project aims to investigate how well multi-dimensional biological and environmental data can be integrated to improve the prediction of plant performance under climatic fluctuations. This project expects to generate new knowledge in the area of quantitative genetics using an approach that combines trans-disciplinary research fields. Expected outcomes of this project include an example for how to advance conventional prediction methods ....Revealing and navigating a path to climate-ready crops. This project aims to investigate how well multi-dimensional biological and environmental data can be integrated to improve the prediction of plant performance under climatic fluctuations. This project expects to generate new knowledge in the area of quantitative genetics using an approach that combines trans-disciplinary research fields. Expected outcomes of this project include an example for how to advance conventional prediction methods using fundamental biological models that underlie plant growth. This will provide significant benefits, such as an enhancement of collaborative research across areas with the potential to significantly advance the general understanding of how plants interact with the environment.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120101127
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
An integrated statistical genetics framework for breeding superior wheat varieties. Genetic studies in agriculture are rapidly increasing in size and complexity in pursuit of genes behind desirable traits such as yield and water use efficiency. This project will address the need for efficient statistical methods to analyse genetic data and thus enable production of wheat varieties that will contribute to Australian food security.
Discovery Early Career Researcher Award - Grant ID: DE120101529
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Transmission dynamics modelling of zoonotic neglected tropical diseases. This project will develop mathematical models to simulate zoonotic disease transmission and control. Results will provide novel insight for policy makers into effective interventions for schistosomiasis, echinococcosis and clonorchiasis, as well as provide a methodological platform for adaptation to other zoonotic emerging and re-emerging diseases.