Uncovering vertebrate lifespan biodiversity with whole genome sequencing. This project aims to integrate existing data on the genetic mechanisms of lifespan evolution in model systems with a novel combination of whole genome sequencing and comparative phylogenomics to reveal the common genomic signatures of lifespan evolution in vertebrates. Expected outcomes include a perspective on the evolution of lifespan, a topic of major health interest for Australia and the rest of the developed world. Th ....Uncovering vertebrate lifespan biodiversity with whole genome sequencing. This project aims to integrate existing data on the genetic mechanisms of lifespan evolution in model systems with a novel combination of whole genome sequencing and comparative phylogenomics to reveal the common genomic signatures of lifespan evolution in vertebrates. Expected outcomes include a perspective on the evolution of lifespan, a topic of major health interest for Australia and the rest of the developed world. This will provide significant benefits, such as long-term implications for aging research, with possible business applications. It will also increase Australia’s visibility and competitiveness in the developing field of bioinformatics.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
Directed evolution of ancestral bacterial flagellar motors. This project aims to produce new knowledge concerning the adaptation of bacterial species to wide environmental changes. The bacterial flagellar motor (BFM) is a motor 40 nanometers in diameter that builds itself into bacterial membranes, rotates five times faster than a Formula One engine, and switches directions in milliseconds. . This project will combine ancestral reconstruction of ancient motor components with protein engineering t ....Directed evolution of ancestral bacterial flagellar motors. This project aims to produce new knowledge concerning the adaptation of bacterial species to wide environmental changes. The bacterial flagellar motor (BFM) is a motor 40 nanometers in diameter that builds itself into bacterial membranes, rotates five times faster than a Formula One engine, and switches directions in milliseconds. . This project will combine ancestral reconstruction of ancient motor components with protein engineering to understand how the different ion channels that power the BFM in different species are selective for different positive ions. It will inspire and inform future manufacturing in bionanotechnology.Read moreRead less
Estimating evolutionary time-scales using genomic sequence data: exploiting opportunities and meeting challenges. Genomic data are being produced at a phenomenal rate, enabling detailed investigations of various biological questions. This project will exploit the new opportunities for improving the estimation of evolutionary time-scales, and develop methods and software to address the new challenges that have surfaced.
Discovery Early Career Researcher Award - Grant ID: DE160100755
Funder
Australian Research Council
Funding Amount
$371,000.00
Summary
Evolution of genome architecture. The project aims to understand how changes to genome architecture over evolutionary time are linked to the diversity of animal morphology. Our genome sequence is arranged into higher order structures that enable coordinated gene expression. The appropriate expression of genes in time and space is necessary to produce the multitude of cell types that make up a multicellular organism. Yet, to date, genome topology is poorly explored, especially between species. Th ....Evolution of genome architecture. The project aims to understand how changes to genome architecture over evolutionary time are linked to the diversity of animal morphology. Our genome sequence is arranged into higher order structures that enable coordinated gene expression. The appropriate expression of genes in time and space is necessary to produce the multitude of cell types that make up a multicellular organism. Yet, to date, genome topology is poorly explored, especially between species. The project involves comparisons of the 3D structure of genomes in divergent species. These findings are expected to inform the underlying principles of gene regulation in animals and species evolution.Read moreRead less
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
Improving access to phylogenomic resources for under-resourced species: a new look at existing tools. This project will have an impact on our understanding of how to most effectively use existing genomic resources to benefit a wider range of species and to better design new genomic resources. By doing so, improved access to genomic resources will be provided to species that currently have few options.
Real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply ....Real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply Sequential Monte Carlo to update phylogenetic analyses continuously as new data arrives. Expected outcomes include new knowledge of statistical algorithms for evolutionary analysis, relevant to biological disciplines beyond infectious disease; and enhanced capacity for infectious disease analysis. 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
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