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
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
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
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
Why does the genetic nearly-null subspace exist? This project aims to determine why nearly-null genetic subspaces exist by simultaneously measuring the input of new mutational variance in these nearly-null subspaces and the selection that acts on these new mutations to result in the observed low levels of standing genetic variance. The ability of organisms to evolve in response to human disturbance, translocation to new environments, or climate variation is governed by the availability of geneti ....Why does the genetic nearly-null subspace exist? This project aims to determine why nearly-null genetic subspaces exist by simultaneously measuring the input of new mutational variance in these nearly-null subspaces and the selection that acts on these new mutations to result in the observed low levels of standing genetic variance. The ability of organisms to evolve in response to human disturbance, translocation to new environments, or climate variation is governed by the availability of genetic variation. Recent advances in multivariate genetic analysis have demonstrated that a substantial proportion of a phenotype described by quantitative traits has very little genetic variance associated with it, and will therefore tend to be subjected to evolutionary limitsRead moreRead less
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
Building A Better Built Environment for Older Australian's Ageing-in-place. Most older Australians prefer to age in place after their retirement. This project aims to understand how the built environment as a comprehensive system supports (or hinders) their ageing-in-place given that the existing Australian built environment fails to meet older Australians' requirements for independent living. This project expects to generate new knowledge in the area of ageing-friendly communities using Bayesia ....Building A Better Built Environment for Older Australian's Ageing-in-place. Most older Australians prefer to age in place after their retirement. This project aims to understand how the built environment as a comprehensive system supports (or hinders) their ageing-in-place given that the existing Australian built environment fails to meet older Australians' requirements for independent living. This project expects to generate new knowledge in the area of ageing-friendly communities using Bayesian Network analysis and interactive design charrettes. Expected outcomes include an evidence-based Bayesian network model that determines how the built environment affects independent living in the community and design innovation and guidelines to improve the built environment design for older Australians' ageing-in-place.Read moreRead less
Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is un ....Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is unknown. This is useful for selecting the best parents for breeding in agriculture and for predicting the future phenotype of animals, crops and people. The proposed method uses data on very many traits to identify sequence variants that have a function and to predict the traits affected by each variant.Read moreRead less
Nanoarchitectured multifunctional porous superparamagnetic nanoparticles. This project aims to develop a method for the direct detection of biomarkers based on a new class of highly porous superparamagnetic nanoparticles with peroxidase-like activity. The particles will be used as dispersible capture agents for isolating specific targets in biological samples, and electrocatalytic nanozymes for naked-eye evaluation and electrochemical detection. The project is expected to develop simple, low-cos ....Nanoarchitectured multifunctional porous superparamagnetic nanoparticles. This project aims to develop a method for the direct detection of biomarkers based on a new class of highly porous superparamagnetic nanoparticles with peroxidase-like activity. The particles will be used as dispersible capture agents for isolating specific targets in biological samples, and electrocatalytic nanozymes for naked-eye evaluation and electrochemical detection. The project is expected to develop simple, low-cost, portable devices for the analysis of exosomes and exosomal miRNA in biological samples. The future development of this technology into diagnostic devices will improve patient outcomes by enabling earlier disease diagnosis and improved monitoring of treatment.Read moreRead less
Glycan-based prebiotic approaches to increase food safety in Australia. Since the launch of the first Australian Animal Sector National Antimicrobial Resistance Plan (2018) several approaches have been suggested to reduce the use antibiotics in agriculture, however no alternatives to antibiotics have been suggested or trialled. In this proposal we aim to develop a novel glycan-based prebiotic strategy to reduce Campylobacter jejuni colonisation in chicken and poultry by disrupting important glyc ....Glycan-based prebiotic approaches to increase food safety in Australia. Since the launch of the first Australian Animal Sector National Antimicrobial Resistance Plan (2018) several approaches have been suggested to reduce the use antibiotics in agriculture, however no alternatives to antibiotics have been suggested or trialled. In this proposal we aim to develop a novel glycan-based prebiotic strategy to reduce Campylobacter jejuni colonisation in chicken and poultry by disrupting important glycan-glycan interactions. Outcomes of this proposal is a cost-effective antibiotic- and vaccine-independent animal feed supplement strategy that will decrease the risk of human food-borne illness and therefore promoting food safety and public health in Australia. Read moreRead less