The evolution of cooperative communication. This interdisciplinary project will provide a broad understanding of communication in a model ecological system involving ants, lycaenid butterflies, and host-plants. The project will reveal the nature of the chemical signals used to communicate, and their role in the origin, maintenance, and loss of mutualistic and parasitic associations.
Female multiple mating and the evolutionary origins of complex societies. This project plans to connect micro-evolutionary processes with macro-evolutionary change to provide a unified understanding of why animals live together. Evolutionary transitions to and from complex social behaviour appear linked to female multiple mating (polyandry). However, the causal pathway by which variation in polyandry results in the emergence and diversification of sociality is yet to be established. Using a vert ....Female multiple mating and the evolutionary origins of complex societies. This project plans to connect micro-evolutionary processes with macro-evolutionary change to provide a unified understanding of why animals live together. Evolutionary transitions to and from complex social behaviour appear linked to female multiple mating (polyandry). However, the causal pathway by which variation in polyandry results in the emergence and diversification of sociality is yet to be established. Using a vertebrate system we aim to integrate empirical, theoretical and comparative approaches to show: the ecological causes of individual variation in female polyandry; its effect on social behaviours that promote social complexity at the population level; and how this corresponds to divergence in social complexity across species.Read moreRead less
Random network models with applications in biology. Complex biological systems consist of a large number of interacting agents or components, and so can be studied using mathematical random network models. We aim to gain deeper insights into the laws emerging as the random networks evolve in time. This can help us to deal with dangerous disease epidemics and better understand the human brain.
Discovery Early Career Researcher Award - Grant ID: DE190100831
Funder
Australian Research Council
Funding Amount
$416,670.00
Summary
The effects of mitochondrial genetic variation on physiology and behaviour. This project aims to test how mitochondrial DNA variation drives molecular, physiological, and behavioural differences between genders and among populations. This project, through the testing of a new hypothesis, expects to generate new knowledge to understand why males and females differ consistently in key health-related traits like longevity. The expected outcomes of this project will provide new discoveries that deli ....The effects of mitochondrial genetic variation on physiology and behaviour. This project aims to test how mitochondrial DNA variation drives molecular, physiological, and behavioural differences between genders and among populations. This project, through the testing of a new hypothesis, expects to generate new knowledge to understand why males and females differ consistently in key health-related traits like longevity. The expected outcomes of this project will provide new discoveries that deliver fundamental insights into the genetics of gender differences, with benefits that extend into the biomedical sciences. The project is also expected to enhance the international profile of Australian science through cutting-edge research in evolutionary genetics.Read moreRead less
The role of mothers in the evolution of immunity. This project will take a fresh approach to studying disease by addressing the role that mothers play in immune system evolution. This project will make a significant contribution to our nation's research capacity and international scientific reputation, by delivering cutting-edge scientific results that resolve outstanding questions in evolutionary biology.
Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to u ....Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to understand the underlying mechanisms of pattern discrimination. The project will also test how robust this ability is during changes in water quality (elevated carbon dioxide levels and increased turbidity). The outcomes will further our knowledge base in lower vertebrate vision and evolution, and also have implications for human vision, image analysis, and artificial vision.Read moreRead less
Defining winning strategies in a changing Southern Ocean . The ecosystem of the Southern Ocean is extremely complex, and understanding its response to rapid climate change is challenging. The aim of the project is to use changes in the behaviour of marine predators to provide new measures of integrated changes in eastern Antarctic ecosystems throughout the winter. With novel combinations of electronic tagging, natural biogeochemical markers, and simulation modelling, the project expects to recon ....Defining winning strategies in a changing Southern Ocean . The ecosystem of the Southern Ocean is extremely complex, and understanding its response to rapid climate change is challenging. The aim of the project is to use changes in the behaviour of marine predators to provide new measures of integrated changes in eastern Antarctic ecosystems throughout the winter. With novel combinations of electronic tagging, natural biogeochemical markers, and simulation modelling, the project expects to reconstruct changes in animal behaviour in response to changes in the environment. The data is anticipated to explain ongoing large-scale shifts in Southern Ocean ecosystems, providing information needed to underpin future management and adaptation strategies.Read moreRead less
Testing evolutionary predictions about multiple unrelated traits under changed environmental conditions using visual ecology. An understanding of evolution is vital in managing the effects of environmental change. Senses determine success in survival/reproduction and environmental change affects what is sensed. This project will make and test explicit predictions about evolution under changed conditions using visual physiology, environmental parameters and evolution experiments.
The danger within: assessing the threats to an endangered finch from genetic incompatibility, limited dispersal and effective population size. The Gouldian finch has declined dramatically over the past half century and remains one of Australia's most threatened birds. This project will use some cutting edge genetic techniques to understand some of the processes that undermine the species' recovery and our ability to monitor current populations.
Random Discrete Structures: Approximations and Applications. The behaviour of many real world systems can be modelled by random discrete structures evolving over time. For example, the sizes of populations of frogs in some close patches of forests can be modelled as interacting random processes. The aim of the project is to investigate large discrete random structures that arise from real world application in areas such as biology, complex networks and insurance. The proposed project is at the i ....Random Discrete Structures: Approximations and Applications. The behaviour of many real world systems can be modelled by random discrete structures evolving over time. For example, the sizes of populations of frogs in some close patches of forests can be modelled as interacting random processes. The aim of the project is to investigate large discrete random structures that arise from real world application in areas such as biology, complex networks and insurance. The proposed project is at the interface of mathematics and 'big data' applications and so the work of the project aims to provide theoretical and heuristic underpinnings useful in the algorithms and techniques of practitioners. Understanding the applications in the project requires new, broadly applicable methods and developing such is a complementary aim.Read moreRead less