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
Macrophage control of mammalian growth and development. The immediate postnatal period in mammals is crucial for survival, long term health and productivity. This project is an international collaboration that aims to investigate how cells of the innate immune system called macrophages control somatic growth and development of mature organ function in the early postnatal period. The project aims to build upon investment in new animals models and a novel discovery to generate significant new know ....Macrophage control of mammalian growth and development. The immediate postnatal period in mammals is crucial for survival, long term health and productivity. This project is an international collaboration that aims to investigate how cells of the innate immune system called macrophages control somatic growth and development of mature organ function in the early postnatal period. The project aims to build upon investment in new animals models and a novel discovery to generate significant new knowledge that will challenge current concepts of mammalian growth control. The outcomes will enhance Australia's international reputation in the fields of physiology, immunology and developmental biology. Read moreRead less
How plants open up: revealing the evolution of stomatal opening mechanisms. This project aims to identify novel and conserved mechanisms that drive the opening of stomata – plant pores that enable CO2 acquisition for photosynthesis. Stomatal movements strongly affect plant productivity and water use efficiency and have profoundly influenced the earth’s climate and terrestrial ecology. This project will address critical gaps in our understanding of how plants open stomata in response to their env ....How plants open up: revealing the evolution of stomatal opening mechanisms. This project aims to identify novel and conserved mechanisms that drive the opening of stomata – plant pores that enable CO2 acquisition for photosynthesis. Stomatal movements strongly affect plant productivity and water use efficiency and have profoundly influenced the earth’s climate and terrestrial ecology. This project will address critical gaps in our understanding of how plants open stomata in response to their environment and the evolutionary history of the genes controlling this fundamental process. A major expected outcome is knowledge of the diversity of stomatal opening pathways, which should ultimately lead to improved predictions of plant responses to environmental change and assist future targeted modification of plant growth.Read moreRead less
Function and evolution of insect odorant receptors. This project aims to shed light on how insect odorant receptors function by using comparative genomic studies between the genetic model insect Drosophila melanogaster and a pest species, the Australian sheep blowfly. This project expects to generate knowledge of how specific chemicals activate specific receptors in order to excite sensory neurons and drive behaviour, which is not well understood. Expected outcomes include increased understandin ....Function and evolution of insect odorant receptors. This project aims to shed light on how insect odorant receptors function by using comparative genomic studies between the genetic model insect Drosophila melanogaster and a pest species, the Australian sheep blowfly. This project expects to generate knowledge of how specific chemicals activate specific receptors in order to excite sensory neurons and drive behaviour, which is not well understood. Expected outcomes include increased understanding of olfaction in insects, increased national and international collaboration, and outstanding graduate student training. This research will be of significant future benefit in deriving methods to modify the behaviour of insects of agricultural or medical importance, for example the sheep blowfly. Read moreRead less
Managing infectious disease through partial wildlife social networks. This project aims to investigate the dynamics of the spread of infectious disease in wildlife, derived from incomplete information about contact networks. Infectious diseases in wildlife are difficult to track and control, because it is not feasible to monitor each individual in a population and know the contact network for a population. The project will create ways to best utilise incomplete observational data of contact netw ....Managing infectious disease through partial wildlife social networks. This project aims to investigate the dynamics of the spread of infectious disease in wildlife, derived from incomplete information about contact networks. Infectious diseases in wildlife are difficult to track and control, because it is not feasible to monitor each individual in a population and know the contact network for a population. The project will create ways to best utilise incomplete observational data of contact networks to develop robust predictions of disease spread and population fate, and to reliably predict the outcomes of management interventions. These robust prediction methods will provide better insights for conservation of Australian wildlife.Read moreRead less
Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire ....Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire risk and spread, trained and validated on a two-decade satellite fire record. The predictive ability of the model will be tested on the 2019/20 fire season to determine if novel drivers of fire can be identified, and the model itself will be operationalised into a novel short-to-mid term fire risk prediction tool. Read moreRead less