The role of genome reorganisation in adaptation and speciation. Local adaptation and speciation are fundamental evolutionary processes that rely on changes to the genome. However, the role of genome architecture (e.g. chromosomal rearrangements, gene duplications) in driving these processes is poorly understood. This project will use advanced comparative genomics and bioinformatics to examine the role of chromosome rearrangements in driving adaptation and speciation, and evaluate rates of molec ....The role of genome reorganisation in adaptation and speciation. Local adaptation and speciation are fundamental evolutionary processes that rely on changes to the genome. However, the role of genome architecture (e.g. chromosomal rearrangements, gene duplications) in driving these processes is poorly understood. This project will use advanced comparative genomics and bioinformatics to examine the role of chromosome rearrangements in driving adaptation and speciation, and evaluate rates of molecular evolution between the X-chromosome and autosomes. Utilising Australia’s endemic mammalian fauna as a tractable model system, I will link population processes with macro-evolutionary outcomes to show how genome architecture underpins biodiversity.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150101904
Funder
Australian Research Council
Funding Amount
$385,481.00
Summary
Interactions of sexual selection & ecological divergence during speciation. Understanding the processes driving speciation is fundamental to understanding how biodiversity is generated. The two main forces underlying speciation, ecological divergence and sexual selection, are well characterised, yet how they interact during the speciation process is remarkably poorly understood. This project aims to test hypotheses regarding how ecological divergence and sexual selection interact during speciati ....Interactions of sexual selection & ecological divergence during speciation. Understanding the processes driving speciation is fundamental to understanding how biodiversity is generated. The two main forces underlying speciation, ecological divergence and sexual selection, are well characterised, yet how they interact during the speciation process is remarkably poorly understood. This project aims to test hypotheses regarding how ecological divergence and sexual selection interact during speciation, from its inception to its completion. In doing so, this research aims to identify genomic regions underlying divergence in colour patterns, which are important for ecological and sexual interactions. Consequently, this project will significantly enhance our understanding of ecological and genetic mechanisms underlying speciation.Read moreRead less
The role of leaf veins in vascular plant evolution. Leaves are continuously irrigated by a system of internal plumbing that defines their maximum photosynthetic output, and angiosperms are the most productive plants on earth largely by virtue of a uniquely efficient system of leaf plumbing. This project will identify how such an important modification of leaf water transport came to evolve.
Discovery Early Career Researcher Award - Grant ID: DE150101773
Funder
Australian Research Council
Funding Amount
$369,536.00
Summary
Bayesian Hierarchical Model for Biogeography. Species Distribution Models (SDMs) are crucial tools for conservation and planning, but they assume that environmental variables (e.g. temperature) are the only controls on distributions, when historical factors, like dispersal limitation and phylogenetic niche conservatism, are also important. A Bayesian Hierarchical Model (BHM) will be constructed to jointly estimate dispersal history, niche evolution, and present-day SDMs for each species in a cla ....Bayesian Hierarchical Model for Biogeography. Species Distribution Models (SDMs) are crucial tools for conservation and planning, but they assume that environmental variables (e.g. temperature) are the only controls on distributions, when historical factors, like dispersal limitation and phylogenetic niche conservatism, are also important. A Bayesian Hierarchical Model (BHM) will be constructed to jointly estimate dispersal history, niche evolution, and present-day SDMs for each species in a clade. BHMs will be tested against traditional SDMs using Australian clades (e.g. frogs) and simulations. BHMs will advance scientific understanding of how species and biogeography coevolve and provide practical improvements in predictions for species that are rare, data-poor, or in changed climates.Read moreRead less
Predicting invertebrate life cycles under variable climates. This project seeks to characterise and predict the responses of invertebrates to climate variability and climate change. Alterations to the developmental trajectory are a major way that organisms adapt their life cycles to climatic variability. Many invertebrates avoid extremes of heat, cold and dry by entering a quiescent or diapause state, often at the egg stage. This project plans to apply novel high-throughput methods for character ....Predicting invertebrate life cycles under variable climates. This project seeks to characterise and predict the responses of invertebrates to climate variability and climate change. Alterations to the developmental trajectory are a major way that organisms adapt their life cycles to climatic variability. Many invertebrates avoid extremes of heat, cold and dry by entering a quiescent or diapause state, often at the egg stage. This project plans to apply novel high-throughput methods for characterising developmental patterns in the eggs of invertebrates in conjunction with microclimate models and modern phylogenetic methods to understand and predict responses to climatic variability. The methods are expected to be transferable to other invertebrates and may lead to breakthroughs in pest management and conservation.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101344
Funder
Australian Research Council
Funding Amount
$364,981.00
Summary
Advancing genomic-driven infectious diseases modelling. Emerging infectious diseases and antimicrobial resistance are among the greatest threats to Australian health and agriculture, and current surveillance tools may fail to detect and mitigate infectious disease outbreaks in real time. This project will develop advanced phylodynamic methods (i.e., mathematical models of infectious disease transmission and pathogen evolution) to enable real-time surveillance of infectious disease outbreaks as t ....Advancing genomic-driven infectious diseases modelling. Emerging infectious diseases and antimicrobial resistance are among the greatest threats to Australian health and agriculture, and current surveillance tools may fail to detect and mitigate infectious disease outbreaks in real time. This project will develop advanced phylodynamic methods (i.e., mathematical models of infectious disease transmission and pathogen evolution) to enable real-time surveillance of infectious disease outbreaks as they emerge and monitor levels of drug resistance.Read moreRead less
Fitting non-Gaussian diffusion models to evolutionary data: towards a generalized framework for phylogenetic comparative analyses. This project aims to develop cutting-edge statistical methods for evolutionary biology in order to answer big questions using data derived from multiple species. Such methods are needed because of the variety of multi-species data that are becoming available, which cannot be dealt with correctly using current methods. The research is significant because it will provi ....Fitting non-Gaussian diffusion models to evolutionary data: towards a generalized framework for phylogenetic comparative analyses. This project aims to develop cutting-edge statistical methods for evolutionary biology in order to answer big questions using data derived from multiple species. Such methods are needed because of the variety of multi-species data that are becoming available, which cannot be dealt with correctly using current methods. The research is significant because it will provide a new way of fitting a wide class of statistical models to evolutionary data, in a very general setting. Further, this project will unite current methodology in a broader framework so that the proposed new methods are a generalisation of currently accepted theory. The outcomes will include a freely-available software package that implements the methods in a user-friendly form.Read moreRead less
Efficient phylogenetic methods that manage the curse of genomic complexity. This project aims to develop new methods and software to infer the evolutionary history of organisms using genomic data. These new phylogenomic methods need to take account of the complexity of evolutionary processes and/or patterns in time (along the evolutionary tree) and space (along the genome). This project is significant because these methods must merge mathematics and statistics with High-Performance Computing to ....Efficient phylogenetic methods that manage the curse of genomic complexity. This project aims to develop new methods and software to infer the evolutionary history of organisms using genomic data. These new phylogenomic methods need to take account of the complexity of evolutionary processes and/or patterns in time (along the evolutionary tree) and space (along the genome). This project is significant because these methods must merge mathematics and statistics with High-Performance Computing to handle the huge quantities of genetic data and the complexity of evolution itself. An important expected outcome of this project will be the development and release of freely-available software that incorporates these new methods. This project expects to benefit scientists who need to infer phylogenies from genomic data. Read moreRead less
New phylogenetic approaches for understanding evolution at the genome scale. This project aims to use genome data to improve our understanding of the evolutionary process, including the forces that shape evolution on a whole-genome scale. The project plans to create a curated database of genome sequences and a comprehensive framework for evolutionary analyses of genomes. The new approach is designed to be used to analyse patterns of evolutionary rate variation to identify the key features of gen ....New phylogenetic approaches for understanding evolution at the genome scale. This project aims to use genome data to improve our understanding of the evolutionary process, including the forces that shape evolution on a whole-genome scale. The project plans to create a curated database of genome sequences and a comprehensive framework for evolutionary analyses of genomes. The new approach is designed to be used to analyse patterns of evolutionary rate variation to identify the key features of genome evolution. In addition, the development of a genome-scale approach to molecular dating will improve estimates of the timescale of the Tree of Life. This project is expected to yield useful insights into molecular evolution and to provide a valuable guide for future evolutionary analyses of genomes.Read moreRead less
Predictability in evolution: From behaviour to genome. This project aims to determine whether evolution is primarily unpredictable and stochastic, or predictable and constrained along certain pathways. By using a natural experiment that caused wood-feeding cockroaches to evolve into soil-burrowing cockroaches in response to climate change millions of years ago, this project will determine how the genomes of these organisms responded. This will show whether the same molecular changes are repeated ....Predictability in evolution: From behaviour to genome. This project aims to determine whether evolution is primarily unpredictable and stochastic, or predictable and constrained along certain pathways. By using a natural experiment that caused wood-feeding cockroaches to evolve into soil-burrowing cockroaches in response to climate change millions of years ago, this project will determine how the genomes of these organisms responded. This will show whether the same molecular changes are repeatedly used in the evolution of complex traits, including burrow construction. This will contribute to the understanding of how predictable evolution is at the molecular level, and provide insights into how genomes change in response to prolonged climate change.Read moreRead less