Artificial intelligence to explore and combat eukaryotic pathogens. The revolution in artificial intelligence (AI) provides unprecedented opportunities for integrative analyses of complex multi-omics data sets and for creating radically new strategies to control some of the world’s most serious animal diseases. In a strong partnership with international experts, we will use AI-based methods to make major conceptual advances in our understanding of eukaryotic pathogens and host-pathogen interacti ....Artificial intelligence to explore and combat eukaryotic pathogens. The revolution in artificial intelligence (AI) provides unprecedented opportunities for integrative analyses of complex multi-omics data sets and for creating radically new strategies to control some of the world’s most serious animal diseases. In a strong partnership with international experts, we will use AI-based methods to make major conceptual advances in our understanding of eukaryotic pathogens and host-pathogen interactions, discover the "choke-points" in biological pathways, and develop novel treatments, vaccines and diagnostics. This leap forward will substantially enhance the global profile of pathogen research in Australia, build major capacity in a priority area, and enable access to international research funding and networks.Read moreRead less
Data-led bioengineering to uncover hidden chemical wealth in bacteria. The soil bacteria Nocardia are an untapped source of industrially prized chemical compounds called natural products. This project aims to develop innovative bioprospecting genomics technologies built from the disciplines of microbiology, biochemistry and computational statistics to discover hundreds of new natural products in Nocardia. This project will unlock the diversity of potent new enzymes and molecules with high econom ....Data-led bioengineering to uncover hidden chemical wealth in bacteria. The soil bacteria Nocardia are an untapped source of industrially prized chemical compounds called natural products. This project aims to develop innovative bioprospecting genomics technologies built from the disciplines of microbiology, biochemistry and computational statistics to discover hundreds of new natural products in Nocardia. This project will unlock the diversity of potent new enzymes and molecules with high economic value that could include insecticides to protect crops, bioactives to fight diseases, or new enzymes for food and biofuel production. This research unlocks enormous hidden chemical potential in soil bacteria, to build sustainable national economic growth through innovative, high-value industrial chemical development.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100316
Funder
Australian Research Council
Funding Amount
$435,431.00
Summary
Population genomic methods for modelling bacterial pathogen evolution. This project aims to develop novel techniques to model bacterial genome evolution and improve our understanding of how major agricultural and human pathogens, including Enterococcus, Salmonella and E. coli, evolve. The project expects to generate new knowledge about how horizontal gene transfer shapes the evolution of bacteria and how these dynamics vary over different temporal scales. Expected outcomes include methodological ....Population genomic methods for modelling bacterial pathogen evolution. This project aims to develop novel techniques to model bacterial genome evolution and improve our understanding of how major agricultural and human pathogens, including Enterococcus, Salmonella and E. coli, evolve. The project expects to generate new knowledge about how horizontal gene transfer shapes the evolution of bacteria and how these dynamics vary over different temporal scales. Expected outcomes include methodological advances that will enable the analysis of massive contemporary datasets. These methods and resulting analyses will provide significant benefits including informing the design of superior long-term interventions to reduce bacterial disease in both agriculture and health that are robust to the evolution of bacteria.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100959
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Unlocking The Agricultural Potential Of The Dark Genome. Sustaining competitive agricultural production in the face of climate change demands more resilient, diverse, and adaptable crop varieties. Studies on the genes of crop plants have had huge benefits for agriculture, but genes themselves make up only a tiny fraction of the genome. It has until recently been impossible to assemble the 'dark' space between genes. Using ultra-modern barley genomes, this project aims to harness information from ....Unlocking The Agricultural Potential Of The Dark Genome. Sustaining competitive agricultural production in the face of climate change demands more resilient, diverse, and adaptable crop varieties. Studies on the genes of crop plants have had huge benefits for agriculture, but genes themselves make up only a tiny fraction of the genome. It has until recently been impossible to assemble the 'dark' space between genes. Using ultra-modern barley genomes, this project aims to harness information from the dark genome to (i) discover new genes with agricultural importance, (ii) illuminate invisible genomic features that can slow down plant breeding programs, and (iii) identify opportunities to transfer useful new genes into the cultivated gene pool.Read moreRead less
Nanoelectromechanical Mass Spectrometry with Molecular Imaging. This project aims to develop new technology to enable simultaneous measurement of the mass and conformation of single molecules. Mass spectrometry and high-resolution microscopy are independent analytical tools used widely to characterise the chemical and physical properties of molecules. This project aims to develop new technology based on advanced nanoelectromechanical systems that combines the capabilities of these complementary ....Nanoelectromechanical Mass Spectrometry with Molecular Imaging. This project aims to develop new technology to enable simultaneous measurement of the mass and conformation of single molecules. Mass spectrometry and high-resolution microscopy are independent analytical tools used widely to characterise the chemical and physical properties of molecules. This project aims to develop new technology based on advanced nanoelectromechanical systems that combines the capabilities of these complementary instruments. This would enable synchronous measurement of molecular mass and conformation with nanometre resolution. In contrast to current mass spectrometry, this technology could be operated in fluid and detect neutral species. This significant change in capability could be applied to advance biological and medical research.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC220100035
Funder
Australian Research Council
Funding Amount
$4,958,927.00
Summary
ARC Training Centre for Hyphenated Analytical Separation Technologies . The toughest analytical science challenges typically require advanced analytical technologies to acquire the desired solutions. In the field of separation science this inevitably involves hyphenated separation technologies, specifically the combination of chromatography and mass spectrometry. Advancing this technology to its full capability requires the collaborative strength of academic, industry and end-user partnerships, ....ARC Training Centre for Hyphenated Analytical Separation Technologies . The toughest analytical science challenges typically require advanced analytical technologies to acquire the desired solutions. In the field of separation science this inevitably involves hyphenated separation technologies, specifically the combination of chromatography and mass spectrometry. Advancing this technology to its full capability requires the collaborative strength of academic, industry and end-user partnerships, providing the materials and inspiration for young researchers to apply novel hyphenated methods to complex environmental and industrial systems. This Centre will deliver fundamental developments in hyphenated technologies, new analytical capability, and applied outcomes across multiple end-user groups and interests. Read moreRead less
Photodissociation mass spectrometry for lipidome analysis. This project aims to develop and apply novel bioanalytical mass spectrometry-based methods and workflows to illuminate the otherwise hidden structural diversity and molecular complexity of the lipidome. The structure of individual lipids define their specific biological functions. A major requirement of analytical methods employed for lipid analysis on a lipidome-wide scale, therefore, is to enable the detailed structural characterisatio ....Photodissociation mass spectrometry for lipidome analysis. This project aims to develop and apply novel bioanalytical mass spectrometry-based methods and workflows to illuminate the otherwise hidden structural diversity and molecular complexity of the lipidome. The structure of individual lipids define their specific biological functions. A major requirement of analytical methods employed for lipid analysis on a lipidome-wide scale, therefore, is to enable the detailed structural characterisation of the, potentially, tens of thousands of individual molecular lipid species that may be present within a sample of interest. This project will develop and optimise novel, ultraviolet photodissociation-tandem mass spectrometry methods which will be integrated within an automated lipidome analysis workflow, to enable comprehensive global lipidome profiling and to reveal the structural diversity of lipids involved in fundamental cellular signalling processes.Read moreRead less
Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect t ....Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect the results. The expected outcomes will enable researchers to undertake a routine assessment of the sensitivity of the results to prior inputs.Read moreRead less
Re-conceptualising services from the perspectives of young people. This project aims to contribute the perspectives and voices of vulnerable young people to debates on the need for service reform. It will actively engage children and teens who have complex support needs in service re-design and decision making, and will trial child-led service initiatives. It will also explore organisational barriers to including young people in policy debate and service decision-making. Expected outcomes includ ....Re-conceptualising services from the perspectives of young people. This project aims to contribute the perspectives and voices of vulnerable young people to debates on the need for service reform. It will actively engage children and teens who have complex support needs in service re-design and decision making, and will trial child-led service initiatives. It will also explore organisational barriers to including young people in policy debate and service decision-making. Expected outcomes include increased knowledge of how to effectively engage young people, and understanding of the impact of their participation both for young people and for services. Read moreRead less
The RGG/RG motif as an RNA chaperone: advancing CRISPR-Cas RNA technology. This project investigates the way in which protein molecules interact effectively with RNA molecules and also aims to enhance the CRISPR-Cas13a system for RNA detection. Innovative approaches will be used to test the role of a particular protein motif, called the RGG/RG motif, in remodelling RNA structure and enhancing the Cas13a protein. This knowledge is expected to shift our understanding of protein-RNA interactions th ....The RGG/RG motif as an RNA chaperone: advancing CRISPR-Cas RNA technology. This project investigates the way in which protein molecules interact effectively with RNA molecules and also aims to enhance the CRISPR-Cas13a system for RNA detection. Innovative approaches will be used to test the role of a particular protein motif, called the RGG/RG motif, in remodelling RNA structure and enhancing the Cas13a protein. This knowledge is expected to shift our understanding of protein-RNA interactions that are fundamental to almost every aspect of cell biology. The project is intended to benefit Australia through contributing to fundamental knowledge in the field, facilitating the development of new CRISPR-Cas biotechnologies for RNA detection and through the training of young researchers in frontier technologies. Read moreRead less