Developing feasible in situ control of mange disease in wombats. Our goal is the development of feasible in situ control of sarcoptic mange in wombat populations. Globally important, the Sarcoptes scabiei mite infects >100 mammal species and is among the 50 most common human diseases, causing health, welfare and population impacts. This infection is treatable, and we will test a new treatment (fluralaner), develop new models to guide management, and conduct replicated field trials. This will ena ....Developing feasible in situ control of mange disease in wombats. Our goal is the development of feasible in situ control of sarcoptic mange in wombat populations. Globally important, the Sarcoptes scabiei mite infects >100 mammal species and is among the 50 most common human diseases, causing health, welfare and population impacts. This infection is treatable, and we will test a new treatment (fluralaner), develop new models to guide management, and conduct replicated field trials. This will enable science-based guidelines, advancing disease control, local eradication, and regulatory approval for wombats. Our research framework is adaptable to other mange-impacted species, and advance methods and theory for control of treatable disease in wildlife.Read moreRead less
Artificial intelligence algorithms to predict risk of injury in racehorses. This project will address the urgent need for predicting and preventing catastrophic and career limiting limb injuries and cardiac arrhythmias in racehorses due to over (or under) training. Using data from GPS and movement sensors integrated into saddlecloths, artificial intelligence algorithms will convert cumulative data on speed, gait, and stride characteristics during training, along with injury data, into a risk mat ....Artificial intelligence algorithms to predict risk of injury in racehorses. This project will address the urgent need for predicting and preventing catastrophic and career limiting limb injuries and cardiac arrhythmias in racehorses due to over (or under) training. Using data from GPS and movement sensors integrated into saddlecloths, artificial intelligence algorithms will convert cumulative data on speed, gait, and stride characteristics during training, along with injury data, into a risk matrix. Recorded heart rate and ECG data will also be analysed using artificial intelligence to detect early evidence of the development of cardiac arrhythmias. The system will improve racehorse welfare, providing a simple interface to warn trainers when risk of injury becomes high, in order to prevent catastrophic breakdown.Read moreRead less
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.
ARC Centre of Excellence for Plant Success in Nature and Agriculture. The ARC CoE for Plant Success in Nature and Agriculture will discover the adaptive strategies underpinning productivity and resilience in diverse plants and deepen knowledge of the genetic and physiological networks driving key traits. Using novel quantitative and computational approaches, the Centre will link gene networks with traits across biological levels, giving breeders an unparalleled predictive capacity. The Centre wi ....ARC Centre of Excellence for Plant Success in Nature and Agriculture. The ARC CoE for Plant Success in Nature and Agriculture will discover the adaptive strategies underpinning productivity and resilience in diverse plants and deepen knowledge of the genetic and physiological networks driving key traits. Using novel quantitative and computational approaches, the Centre will link gene networks with traits across biological levels, giving breeders an unparalleled predictive capacity. The Centre will accelerate technologies to transfer successful networks into crops and build legal frameworks to secure this knowledge. With a uniquely multidisciplinary team, the Centre will deliver new strategies to address the problems of food security and climate change, establishing Australia as a global leader in these areas.Read moreRead less
Alternative Splicing in the Mouse Transcriptome. Although the human genome completion is cause for excitement we do not have any firm indication of precisely how many protein-coding genes exist in a mammalian genome. We have even less indication of the extent to which these genes generate alternative gene products, through a process termed alternative splicing. The detection and sequencing of these full-length alternative gene products is the focus of this application. This application details t ....Alternative Splicing in the Mouse Transcriptome. Although the human genome completion is cause for excitement we do not have any firm indication of precisely how many protein-coding genes exist in a mammalian genome. We have even less indication of the extent to which these genes generate alternative gene products, through a process termed alternative splicing. The detection and sequencing of these full-length alternative gene products is the focus of this application. This application details the opportunity to participate in the identification of the full transcriptome of the mouse and is part of a collaborative effort with The RIKEN Genome Sciences Center in Japan.Read moreRead less
How calcium makes the heart grow. This project aims to develop a mathematical model of calcium signalling in heart cells to understand how calcium makes the heart grow. Our hearts grow to adapt to long-term changes, such as during development and in pregnancy or heart disease. Biochemical reactions involving calcium control the growth of heart cells and heart cells also use calcium signalling to trigger contraction with each beat. How calcium controls the heartbeat and regulates cell growth is u ....How calcium makes the heart grow. This project aims to develop a mathematical model of calcium signalling in heart cells to understand how calcium makes the heart grow. Our hearts grow to adapt to long-term changes, such as during development and in pregnancy or heart disease. Biochemical reactions involving calcium control the growth of heart cells and heart cells also use calcium signalling to trigger contraction with each beat. How calcium controls the heartbeat and regulates cell growth is unknown. This project will develop a new mathematical model of calcium signalling in heart cells to understand important cellular adaption processes. This knowledge will lead to the ability to independently control cellular pathways mediated by calcium, opening new avenues in biotechnology and biomedicine.Read moreRead less
Mathematical models and bioinformatic analyses of bacterial genome evolution. Bacteria are vital agents in earth's biosphere, breaking down and synthesising a wide variety of compounds. Some bacteria cause disease; others are exploited for a range of biotechnological applications. Bacteria have a remarkable ability to survive and thrive in changing conditions. For example, pathogenic bacteria confronted by antibiotics easily evolve resistance to them. With the reality of climate change, we expec ....Mathematical models and bioinformatic analyses of bacterial genome evolution. Bacteria are vital agents in earth's biosphere, breaking down and synthesising a wide variety of compounds. Some bacteria cause disease; others are exploited for a range of biotechnological applications. Bacteria have a remarkable ability to survive and thrive in changing conditions. For example, pathogenic bacteria confronted by antibiotics easily evolve resistance to them. With the reality of climate change, we expect more rapid shifts in the structure of bacterial communities, possibly leading to the emergence of new pathogens. The benefits of this project are to discover how the genetic structure of bacteria confer this flexibility, and to help keep Australia at the forefront of research in bioinformatics and mathematical biology.
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Social insect behaviour: the importance of individual-decision making and information transfer. Insect societies are complex systems. Understanding complex systems is often hampered by our inability to study the individual units that comprise the system without also disturbing the system. Insect societies are unique in that the individual insects can be studied within their natural setting. This project will study foraging behaviour of honey bees with respect to individual decision-making and in ....Social insect behaviour: the importance of individual-decision making and information transfer. Insect societies are complex systems. Understanding complex systems is often hampered by our inability to study the individual units that comprise the system without also disturbing the system. Insect societies are unique in that the individual insects can be studied within their natural setting. This project will study foraging behaviour of honey bees with respect to individual decision-making and information transfer. In doing so we will obtain insights in the working of other, less accessible, complex systems such as the mammalian brain or the Australian economy.Read moreRead less
Understanding animals through their movement. This project aims to develop a suite of analytical methods to understand animals' behaviour through their movement patterns. Animal movement patterns encode detailed information about their behavioural state. Collecting and analysing animal movement trajectories can provide us with completely new insights to behaviour. Recent developments in bio-logging technologies have provided an incredible amount of rich data on free-ranging animals. This project ....Understanding animals through their movement. This project aims to develop a suite of analytical methods to understand animals' behaviour through their movement patterns. Animal movement patterns encode detailed information about their behavioural state. Collecting and analysing animal movement trajectories can provide us with completely new insights to behaviour. Recent developments in bio-logging technologies have provided an incredible amount of rich data on free-ranging animals. This project will develop a suite of analytical techniques to interrogate this data through a combination of approaches, from fine scale experiments in the laboratory to tracking animal trajectories from the International Space Station. The findings will deliver major benefits to the broader community by transforming our ability to manage and conserve animal stocks.Read moreRead less
Statistical methods for detection of non-coding RNAs in eukaryote genomes. Understanding how eukaryotic cells work is a major goal of 21st century biology. A crucial step will be to catalogue the functional components of eukaryotic genomes. Australian researchers must be involved in this process at an early stage, in order to maximise commercial opportunities, attract quality researchers and position ourselves for further advances. This project will make major contributions to international effo ....Statistical methods for detection of non-coding RNAs in eukaryote genomes. Understanding how eukaryotic cells work is a major goal of 21st century biology. A crucial step will be to catalogue the functional components of eukaryotic genomes. Australian researchers must be involved in this process at an early stage, in order to maximise commercial opportunities, attract quality researchers and position ourselves for further advances. This project will make major contributions to international efforts in this area, via the development of statistical methods for segmenting genomes, classification of those segments, and study of the resulting classes. In the long term, enhanced understanding of eukaryotic cells will lead to breakthroughs in biology, and to medical, pharmaceutical, agricultural and scientific advances.Read moreRead less