Comparative biosecurity informatics to anticipate invasive species threats. Invasive species cause billions in economic damages to Australia, but we do not have effective means to identify dangerous species before they arrive and cause harm. This project aims to overcome this challenge using the latest techniques in machine learning combined with genetic, ecological, and functional datasets for thousands of species. This project expects to generate a novel framework that allows us to identify an ....Comparative biosecurity informatics to anticipate invasive species threats. Invasive species cause billions in economic damages to Australia, but we do not have effective means to identify dangerous species before they arrive and cause harm. This project aims to overcome this challenge using the latest techniques in machine learning combined with genetic, ecological, and functional datasets for thousands of species. This project expects to generate a novel framework that allows us to identify and rank dangerous invasive species in an unbiased way, helping to safeguard Australia's unique biological community. Expected outcomes include improved methods for detecting ecologically and functionally similar species, providing substantial economic efficiency benefits to Australian biosecurity.Read moreRead less
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: DE150101897
Funder
Australian Research Council
Funding Amount
$341,000.00
Summary
The Evolution of stripe rust virulence. Fungal crop pathogen epidemics lead to severe yield losses worldwide, impact national economies and individual human lives. Wheat stripe rust fungal epidemics caused by new virulent races can lead to 80 per cent reduction in yield. This project aims to investigate the molecular mechanisms leading to newly virulent races by whole genome, epigenome and transcriptome comparison of several wheat stripe rust races. This project aims to fundamentally advance our ....The Evolution of stripe rust virulence. Fungal crop pathogen epidemics lead to severe yield losses worldwide, impact national economies and individual human lives. Wheat stripe rust fungal epidemics caused by new virulent races can lead to 80 per cent reduction in yield. This project aims to investigate the molecular mechanisms leading to newly virulent races by whole genome, epigenome and transcriptome comparison of several wheat stripe rust races. This project aims to fundamentally advance our understanding of evolutionary forces driving virulence and specification at the whole (epi-)genome level in important fungal crop pathogens. This will promote new crop protection strategies important for local and global food security in an ever-changing environment.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
Testing links between genomic and morphological evolutionary rates. This project aims to identify, understand, and characterise patterns of evolutionary rates across different levels of biological variation. The project expects to generate knowledge about the tempo and mode of evolution by using a phylogenetic approach to test fundamental models of evolutionary rates, including the link between rates of genomic and morphological evolution. Expected outcomes of this project include detailed insig ....Testing links between genomic and morphological evolutionary rates. This project aims to identify, understand, and characterise patterns of evolutionary rates across different levels of biological variation. The project expects to generate knowledge about the tempo and mode of evolution by using a phylogenetic approach to test fundamental models of evolutionary rates, including the link between rates of genomic and morphological evolution. Expected outcomes of this project include detailed insights into the tempo and mode of macroevolution, better modelling of genomic and phenotypic evolution, and improved design of studies in evolutionary genomics. Benefits of the project include greater understanding of the evolutionary processes that have generated the diversity of the Australian biota.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