Network structure, connectivity and wildlife disease. Emerging infectious diseases of wildlife pose threats to human health (75% of human emerging diseases are zoonotic). They also threaten biodiversity and livestock. Changes in connectivity between wildlife individuals and populations are occurring because of human activities, including globalisation, climate change and habitat destruction. Understanding how these changes in connectivity affect wildlife disease dynamics is crucial for the deve ....Network structure, connectivity and wildlife disease. Emerging infectious diseases of wildlife pose threats to human health (75% of human emerging diseases are zoonotic). They also threaten biodiversity and livestock. Changes in connectivity between wildlife individuals and populations are occurring because of human activities, including globalisation, climate change and habitat destruction. Understanding how these changes in connectivity affect wildlife disease dynamics is crucial for the development of better strategies to manage their impacts. The project will also build Australia's wider capacity to manage outbreaks of infectious diseases.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
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
Statistical methods and tools for integrative microarray analysis. Tools used for biological and medical research have been evolving and there has been an increase in high-throughput technologies such as genome sequencing and DNA microarray. The growing number of entries and the increasing availability of public microarray repositories and other sequence databases have generated the new challenge of developing tools to efficiently integrate data by different research groups. This research provi ....Statistical methods and tools for integrative microarray analysis. Tools used for biological and medical research have been evolving and there has been an increase in high-throughput technologies such as genome sequencing and DNA microarray. The growing number of entries and the increasing availability of public microarray repositories and other sequence databases have generated the new challenge of developing tools to efficiently integrate data by different research groups. This research provides new statistical methods to integrate different data sets. Its application in the biomedical field will allow researchers to effectively interpret the myriad of data generated within the community.Read moreRead less
On the move: the study of self-organised movement of animal groups with and without leadership. This project will uncover the common principles that control the movement of large groups of organisms. We will focus on swarming honey bees, hopping bands of billions of locusts and millions of crickets marching in unison. The outcomes of our research will be broadly applicable to other collective phenomena, even to traffic and crowd control in humans.
Density regulation as a major determinant of population persistence: advancing empirical and theoretical approaches to conserve biodiversity. Without efficient application of limited conservation resources, more species will go extinct and invasive species will continue to proliferate. With a better understanding of extinction processes, a higher benefit:cost ratio will ensure better outcomes for biodiversity. We will directly address (1) the sustainable use of Australia's biodiversity by provid ....Density regulation as a major determinant of population persistence: advancing empirical and theoretical approaches to conserve biodiversity. Without efficient application of limited conservation resources, more species will go extinct and invasive species will continue to proliferate. With a better understanding of extinction processes, a higher benefit:cost ratio will ensure better outcomes for biodiversity. We will directly address (1) the sustainable use of Australia's biodiversity by providing evidence-based support for minimum viable population size targets to avoid extinction; (2) responding to climate change by determining the species- and environmentally specific contexts leading to elevated risks of extinction; and (3) protecting Australia from invasive diseases and pests by determining density targets that maximise eradication success.Read moreRead less
Optimal management of complex ecological systems. Natural systems are inherently complex and difficult to predict. This complexity means that efficient management strategies are often uncertain, and resource managers have few theories or rules on which to base their decisions. We will integrate the existing theories and principles of conservation biology with decision-making tools and theory used in statistics, economics, control theory, engineering and mathematics. We will use novel methods to ....Optimal management of complex ecological systems. Natural systems are inherently complex and difficult to predict. This complexity means that efficient management strategies are often uncertain, and resource managers have few theories or rules on which to base their decisions. We will integrate the existing theories and principles of conservation biology with decision-making tools and theory used in statistics, economics, control theory, engineering and mathematics. We will use novel methods to investigate the reliability of different management decisions that are made in the face of uncertainty and involve learning. Our aim is to discover a general theory for a new branch of conservation biology: applied theoretical conservation ecology.Read moreRead less