Autotransporter assembly: new insights and biotechnological potential. The objective of this project is to improve our understanding of a fundamental biological problem: how autotransporters are assembled into cellular membranes. Autotransporters are a large family of bacterial proteins that play key roles in the pathogenesis of several infectious diseases. Currently, the precise mechanism by which disease-causing molecules are assembled into the outer membranes of bacteria and mitochondria is p ....Autotransporter assembly: new insights and biotechnological potential. The objective of this project is to improve our understanding of a fundamental biological problem: how autotransporters are assembled into cellular membranes. Autotransporters are a large family of bacterial proteins that play key roles in the pathogenesis of several infectious diseases. Currently, the precise mechanism by which disease-causing molecules are assembled into the outer membranes of bacteria and mitochondria is poorly understood. The knowledge that the project develops may inform future strategies aimed at the rational treatment of bacterial and mitochondrial diseases.Read moreRead less
Microbial community stability dynamics to environmental triggers. This project aims to advance our knowledge of the structural/functional dynamics of complex microbial communities by defining stability in response to environmental influences such as nutrient stress, pathogen invasion and antibiotics/chemicals. Using innovative microbial consortia modelling, to identify communities at risk of homeostatic disruption, we will develop and test pre-emptive microbial manipulation strategies for restor ....Microbial community stability dynamics to environmental triggers. This project aims to advance our knowledge of the structural/functional dynamics of complex microbial communities by defining stability in response to environmental influences such as nutrient stress, pathogen invasion and antibiotics/chemicals. Using innovative microbial consortia modelling, to identify communities at risk of homeostatic disruption, we will develop and test pre-emptive microbial manipulation strategies for restoring community stability. This project will yield significant global impact and economic/health benefit for humans and animals.Read moreRead less
The cellular basis of sex-specific responses to virus infection. This project aims to explore how the sex of cells impacts virus infections in culture. To date, the sex of cells in culture has been overlooked as an important source of biological variability, but may be found to affect basic science through to anti-viral drug discovery. Using a model in which a virus can be adapted to grow better in cells of a single sex, this project expects to generate new knowledge about how sex differences im ....The cellular basis of sex-specific responses to virus infection. This project aims to explore how the sex of cells impacts virus infections in culture. To date, the sex of cells in culture has been overlooked as an important source of biological variability, but may be found to affect basic science through to anti-viral drug discovery. Using a model in which a virus can be adapted to grow better in cells of a single sex, this project expects to generate new knowledge about how sex differences impact virus-host interactions. This project expects to provide new insights into sex-based differences in how cells detect and respond to virus infection, and the extent to which the sex of cells impacts viruses in general.Read moreRead less
Signalling pathways for sexual differentiation of apicomplexan parasites. This project aims to study the sexual development of apicomplexan parasites, which cause major diseases in humans, livestock and wildlife, including malaria. Only sexually differentiated cells can survive in the mosquito vector and hence this development is essential for the parasite's life-cycle. This project will employ a new approach that separates female from male parasites, thus enabling new information to be gleaned ....Signalling pathways for sexual differentiation of apicomplexan parasites. This project aims to study the sexual development of apicomplexan parasites, which cause major diseases in humans, livestock and wildlife, including malaria. Only sexually differentiated cells can survive in the mosquito vector and hence this development is essential for the parasite's life-cycle. This project will employ a new approach that separates female from male parasites, thus enabling new information to be gleaned about the development of these parasites. The expected outcomes are an understanding of the mechanisms of sexual differentiation and a functional characterisation of novel sex-specific molecules. This will provide significant benefits, such as pivotal prerequisites for new approaches to parasite intervention.Read moreRead less
Global integration of microbial community and climate data. Microbial communities in the environment control the cycling of carbon and nutrients on Earth, but climate models do not directly incorporate microbial inputs. This interdisciplinary project will link planetary-scale climate modelling data with novel large-scale microbial community analysis, using climate information to provide insight into the fantastic diversity of microbial processes on our planet. The interdisciplinary approach will ....Global integration of microbial community and climate data. Microbial communities in the environment control the cycling of carbon and nutrients on Earth, but climate models do not directly incorporate microbial inputs. This interdisciplinary project will link planetary-scale climate modelling data with novel large-scale microbial community analysis, using climate information to provide insight into the fantastic diversity of microbial processes on our planet. The interdisciplinary approach will inform the next generation of climate models and better predict our future climate’s feedbacks. Conversely, it will make progress on the grand challenge of understanding microbial community function by enabling microbial ecology to be treated as a data-intensive machine learning problem.Read moreRead less