Algebraically informed models of biological sequence evolution. To make sense of the patterns they see in the natural world, biologists across fields as diverse as genetics, epidemiology and biogeography need an accurate picture of evolutionary history. DNA sequences provide an exciting means to establish this picture of the past, but to decode it successfully requires mathematical models of how DNA evolves. Mathematical inconsistencies have been identified with current approaches. In particular ....Algebraically informed models of biological sequence evolution. To make sense of the patterns they see in the natural world, biologists across fields as diverse as genetics, epidemiology and biogeography need an accurate picture of evolutionary history. DNA sequences provide an exciting means to establish this picture of the past, but to decode it successfully requires mathematical models of how DNA evolves. Mathematical inconsistencies have been identified with current approaches. In particular, understanding the effect of natural selection in different parts of the tree of life requires models that behave robustly in the face of shifting evolutionary processes. This project aims to use insights from algebraic methods to construct mathematically consistent models of wide biological utility.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100423
Funder
Australian Research Council
Funding Amount
$369,061.00
Summary
Group theory and phylogenetics: exploiting symmetry to uncover evolutionary history. Using advanced algebra, structural symmetries inherent in phylogenetic methods will be studied and improved approaches will be derived. DNA sequences contain a wealth of information about evolutionary events that occurred millions of years ago, but extracting this information requires the application of robust methods.
Micro-electrofluidic platforms for monitoring 3D human biological models. The ability to study living cells and human biological models (cell cultures) delivers greater understanding of basic biological function and response to applied (bio)chemical stimuli. Creating the physical environments to sustain biological models, and mimic natural conditions and fluidic pathways, is immensely challenging, yet essential to deliver meaningful observational data. This project will deliver this capability t ....Micro-electrofluidic platforms for monitoring 3D human biological models. The ability to study living cells and human biological models (cell cultures) delivers greater understanding of basic biological function and response to applied (bio)chemical stimuli. Creating the physical environments to sustain biological models, and mimic natural conditions and fluidic pathways, is immensely challenging, yet essential to deliver meaningful observational data. This project will deliver this capability through the convergence of expertise and innovation in analytical chemistry, materials science and cellular biology, ultilising the latest technology and understanding of 3D micro/electrofluidics, to enable the study and stimulation of advanced biological models, sustained within precisely controlled 3D micro-environments.Read moreRead less
Creating new stochastic models to understand the evolution of gene families. This project aims to extend stochastic modelling techniques in order to develop mathematically rigorous and biologically relevant models for the evolution of gene families. The project expects to model evolutionary processes such as gene retention, duplication and loss, and the generation of new gene functions. The duplication and subsequent re-purposing of genes is thought to be a key mechanism for generating evolution ....Creating new stochastic models to understand the evolution of gene families. This project aims to extend stochastic modelling techniques in order to develop mathematically rigorous and biologically relevant models for the evolution of gene families. The project expects to model evolutionary processes such as gene retention, duplication and loss, and the generation of new gene functions. The duplication and subsequent re-purposing of genes is thought to be a key mechanism for generating evolutionary novelty. By applying these models to genome data, the project expects to be able to quantify the importance of these different evolutionary mechanisms. The project will strengthen collaborative links between researchers in stochastic modelling and molecular evolutionary biology.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100201
Funder
Australian Research Council
Funding Amount
$460,806.00
Summary
Learning how we learn: linking inhibitory brain circuits to motor learning. Understanding the relationship between brain activity and human behaviour is a fundamental question in neuroscience. This project aims to contribute to this question by using cutting-edge brain stimulation techniques to demonstrate causal relationships between inhibitory brain circuit activity and motor learning. This project expects to generate fundamental knowledge about the relationship between the brain and behaviour ....Learning how we learn: linking inhibitory brain circuits to motor learning. Understanding the relationship between brain activity and human behaviour is a fundamental question in neuroscience. This project aims to contribute to this question by using cutting-edge brain stimulation techniques to demonstrate causal relationships between inhibitory brain circuit activity and motor learning. This project expects to generate fundamental knowledge about the relationship between the brain and behaviours. Eventually, this may contribute to the development of optimised training protocols in healthy populations such as school children, recreational and elite athletes, medical and military personnel, and ageing adults, as well as the development of brain stimulation interventions to improve motor learning.Read moreRead less
How do myelinating cells alter brain circuits to facilitate learning? This project aims to identify the brain circuits that receive new insulation and characterise the molecular mediators of this process. This project will apply innovative technologies to understand how the nervous system remains adaptable throughout life. This new knowledge, of the cellular mechanisms that allow brain circuits to remain adaptable throughout life, may have application in the development of interventions aimed at ....How do myelinating cells alter brain circuits to facilitate learning? This project aims to identify the brain circuits that receive new insulation and characterise the molecular mediators of this process. This project will apply innovative technologies to understand how the nervous system remains adaptable throughout life. This new knowledge, of the cellular mechanisms that allow brain circuits to remain adaptable throughout life, may have application in the development of interventions aimed at improving educational outcomes or counteracting age-related memory decline. Potential future benefits include facilitating the development of drugs to circumvent memory loss resulting from brain diseases, and improving the design of neuromorphic hardware for computing.Read moreRead less
An efficient approach to the computation of bacterial evolutionary distance. This project aims to apply advanced mathematical tools to improve our understanding of bacterial evolution. Bacteria account for as much total Earth biomass as all plant species put together, and have an unparalleled ability to evolve quickly and adapt to changing environments. Unfortunately, the existing mathematical models used to model bacterial evolution are generally computationally intractable. This project will r ....An efficient approach to the computation of bacterial evolutionary distance. This project aims to apply advanced mathematical tools to improve our understanding of bacterial evolution. Bacteria account for as much total Earth biomass as all plant species put together, and have an unparalleled ability to evolve quickly and adapt to changing environments. Unfortunately, the existing mathematical models used to model bacterial evolution are generally computationally intractable. This project will rectify this situation by using representation theory to transform combinatorial group theory into linear algebra, allowing for the application of advanced methods of numeric approximation. This will provide a better understanding of how bacteria evolve and improve our ability to manage their impact.Read moreRead less
Understanding the mechanisms underpinning complex sociality. This project aims to investigate the mechanisms underlying the formation of complex social systems in vertebrates. Our understanding of these mechanisms is strongly biased towards a few model systems. We have identified a novel Australian model system with a wide range of sociality for this purpose. This project expects to generate new knowledge on how the social environment interacts with the brain during social organisation. Expected ....Understanding the mechanisms underpinning complex sociality. This project aims to investigate the mechanisms underlying the formation of complex social systems in vertebrates. Our understanding of these mechanisms is strongly biased towards a few model systems. We have identified a novel Australian model system with a wide range of sociality for this purpose. This project expects to generate new knowledge on how the social environment interacts with the brain during social organisation. Expected outcomes include the refinement of social theory and capacity building via international collaboration and postgraduate training. This work will provide significant benefits by increasing our understanding of how the brain and social environment interact to moderate aggression and enhance social associations.Read moreRead less
ARC Centre of Excellence for Electromaterials Science. The ARC Centre of Excellence for Electromaterials Science (ACES) will create next generation electrochemical devices via the precision assembly of nano/micro dimensional components into macroscopic structures. Through the discovery of new materials and structures, and understanding how spatial arrangement in 3D influences chemical, physical and biological properties, ACES will define the cutting edge of Electromaterials Science. The resultin ....ARC Centre of Excellence for Electromaterials Science. The ARC Centre of Excellence for Electromaterials Science (ACES) will create next generation electrochemical devices via the precision assembly of nano/micro dimensional components into macroscopic structures. Through the discovery of new materials and structures, and understanding how spatial arrangement in 3D influences chemical, physical and biological properties, ACES will define the cutting edge of Electromaterials Science. The resulting technology breakthroughs will have a direct impact on some of today's most challenging global problems in clean energy, synthetic biosystems, diagnostics and soft robotics. National benefit to Australia will be realised through the creation of new manufacturing industries.Read moreRead less
Does mother know best? Unifying proximate causation and ultimate explanation in mammalian sex allocation. The study of parental effects is a fundamental area in evolutionary ecology, but is characterised by poor integration of theory (ultimate causation) and physiology (proximate causation). This is true in sex allocation research that focuses almost exclusively on ultimate causation without integrating the physiological mechanisms for sex ratio adjustment. Using a combination of experiments and ....Does mother know best? Unifying proximate causation and ultimate explanation in mammalian sex allocation. The study of parental effects is a fundamental area in evolutionary ecology, but is characterised by poor integration of theory (ultimate causation) and physiology (proximate causation). This is true in sex allocation research that focuses almost exclusively on ultimate causation without integrating the physiological mechanisms for sex ratio adjustment. Using a combination of experiments and modelling, the project addresses this gap in understanding mammalian sex allocation, specifically: the lack of known mechanism; the connection between proximate mechanistic explanation and adaptive fitness explanations; and, knowledge on constraints. This project argues that one mechanism, pre-implantation glucose levels, links adaptive hypotheses with proximate causation. Read moreRead less