Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is un ....Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is unknown. This is useful for selecting the best parents for breeding in agriculture and for predicting the future phenotype of animals, crops and people. The proposed method uses data on very many traits to identify sequence variants that have a function and to predict the traits affected by each variant.Read moreRead less
Decoding regulatory RNA function in bacteria. All complex biological processes in bacterial cells appear to utilise regulatory small RNAs to control gene expression, but we lack a systems-level understanding of their functions and mechanisms of control. This proposal aims to address this fundamental knowledge gap using machine learning and cutting-edge, systems-level techniques to determine how small RNA sequence and structure determines function. Small RNAs have been found to control a broad ra ....Decoding regulatory RNA function in bacteria. All complex biological processes in bacterial cells appear to utilise regulatory small RNAs to control gene expression, but we lack a systems-level understanding of their functions and mechanisms of control. This proposal aims to address this fundamental knowledge gap using machine learning and cutting-edge, systems-level techniques to determine how small RNA sequence and structure determines function. Small RNAs have been found to control a broad range of traits including metabolism, biofilm formation, antibiotic tolerance, and virulence. The work proposed here will enhance our ability to predict and control bacterial gene expression with potential future impacts on bioproduction, synthetic biology, and veterinary and medical microbiology.Read moreRead less
Investigating the biogenesis and function of circular RNAs in the brain. Circular RNAs (circRNAs) are e a novel class of RNA molecules produced in a wide spectrum of eukaryotic organisms, from yeast to humans. Their expression is particularly high in the nervous system in the fruit fly, mouse and humans. What mechanisms are responsible for the tissue-specific enrichment of circular RNA expression? What are the consequences of circular RNA production on gene expression? The overall goal of the pr ....Investigating the biogenesis and function of circular RNAs in the brain. Circular RNAs (circRNAs) are e a novel class of RNA molecules produced in a wide spectrum of eukaryotic organisms, from yeast to humans. Their expression is particularly high in the nervous system in the fruit fly, mouse and humans. What mechanisms are responsible for the tissue-specific enrichment of circular RNA expression? What are the consequences of circular RNA production on gene expression? The overall goal of the proposed project is to elucidate these important aspects of circRNA biogenesis. Specifically, the project aims to (a) discover proteins that regulate circRNA expression, (b) elucidate how circRNA expression interacts with alternative splicing, and (c) identify circular RNAs that play regulatory roles in gene expression. Read moreRead less
Optimising disease surveillance to support decision-making. COVID-19 has demonstrated the critical role of epidemic data and analytics in guiding government response to pandemic threats, reducing disease and saving lives. The demand for epidemic analytics for response to threats of national significance will only grow. The goals of this project are to 1) determine the combination(s) of surveillance methods that provide the most useful data for epidemic analysis and 2) translate these findings in ....Optimising disease surveillance to support decision-making. COVID-19 has demonstrated the critical role of epidemic data and analytics in guiding government response to pandemic threats, reducing disease and saving lives. The demand for epidemic analytics for response to threats of national significance will only grow. The goals of this project are to 1) determine the combination(s) of surveillance methods that provide the most useful data for epidemic analysis and 2) translate these findings into the blueprint for a next-generation infectious disease surveillance system for Australia. We will use a simulation-evaluation approach, coupling methods from infectious disease modelling with those from information theory optimal design. Outcomes will enable more tailored and effective pandemic response.Read moreRead less
Investigating non-canonical RNA processing in developing spermatids. RNA combines the information content of DNA and the physical properties of proteins. These features mean it's emerging as a major player for new knowledge; for answers to fundamental questions in biology, and for applications in biotechnology. This project aims to understand how non-canonical RNA processing events control gene expression. How mRNA is processed post-transcriptionally for selective storage, translation, stabilisa ....Investigating non-canonical RNA processing in developing spermatids. RNA combines the information content of DNA and the physical properties of proteins. These features mean it's emerging as a major player for new knowledge; for answers to fundamental questions in biology, and for applications in biotechnology. This project aims to understand how non-canonical RNA processing events control gene expression. How mRNA is processed post-transcriptionally for selective storage, translation, stabilisation or decay to control development. RNA-driven processes program morphogenesis and differentiation of spermatids, but via mechanisms only poorly understood. Uncovering the function of extensive cytoplasmic polyadenylation, which is essential for murine fertility, may fuel the next wave of RNA biotech applications. Read moreRead less
How does timing affect mammalian brain development and evolution? This project aims to generate fundamental knowledge on the origin of diversity in mammalian brain circuits by studying development of marsupials and rodents. The expected outcome is to elucidate how differences in the timing, rate and sequence of development of gene expression, cell differentiation and circuit formation can relate to the origin of key evolutionary innovations in the mammalian brain. The significance of understandi ....How does timing affect mammalian brain development and evolution? This project aims to generate fundamental knowledge on the origin of diversity in mammalian brain circuits by studying development of marsupials and rodents. The expected outcome is to elucidate how differences in the timing, rate and sequence of development of gene expression, cell differentiation and circuit formation can relate to the origin of key evolutionary innovations in the mammalian brain. The significance of understanding the dynamics of developmental systems that shape complex brain traits includes establishing new developmental paradigms in evolutionary theory, generating new tools to investigate and manipulate brain gene expression in vivo, and the potential discovery of the causes of neurodevelopmental dysfunction.Read moreRead less
Understanding co-activator function in transcriptional regulation. A change in gene expression underpins all cell fate decisions yet there is scant knowledge about how transcription factors (TF), the master regulators of transcription, specifically interact with some, but not all, transcription cofactors to nuance gene expression. Aims: Using innovative molecular technologies we will identify and characterise the shared and unique relationships between TF and cofactors. Significance: This study ....Understanding co-activator function in transcriptional regulation. A change in gene expression underpins all cell fate decisions yet there is scant knowledge about how transcription factors (TF), the master regulators of transcription, specifically interact with some, but not all, transcription cofactors to nuance gene expression. Aims: Using innovative molecular technologies we will identify and characterise the shared and unique relationships between TF and cofactors. Significance: This study is important to every biological process in plants and animals driven by a change in gene expression. Expected Outcomes: This study will increase our biological knowledge in transcription control. Benefit: The knowledge gained has future applications in genomics and broad implications for biotechnology and industry.Read moreRead less
Can we exploit mRNA modifications to control protein expression? Genes are encoded by DNA but are transcribed into a message called RNA before they can be translated into protein. RNA can be chemically modified at a gene-specific level, and this modification has been central to the success of RNA vaccines against COVID-19. Despite the importance of these modifications in cellular life and in biotechnology, the role of the most abundant RNA modifications is unclear. This project will investigate ....Can we exploit mRNA modifications to control protein expression? Genes are encoded by DNA but are transcribed into a message called RNA before they can be translated into protein. RNA can be chemically modified at a gene-specific level, and this modification has been central to the success of RNA vaccines against COVID-19. Despite the importance of these modifications in cellular life and in biotechnology, the role of the most abundant RNA modifications is unclear. This project will investigate how we can exploit RNA modifications to modulate protein expression in a tractable single-celled organism with a small genome, Plasmodium. This information is important because understanding gene regulation is fundamental to all life, and the role of RNA modifications is emerging as integral to biotechnology.Read moreRead less
Dynamic DNA structure states and memory formation. Activity-induced gene expression is central to neural plasticity, learning, and memory; however, the underlying mechanisms of these processes in the brain have yet to be fully resolved. The aim of this proposal is to obtain a deeper understanding of the functional relationship between genes and brain function. By elucidating the full repertoire of epigenetic mechanisms in the brain during learning and the formation of memory, it is hoped that t .... Dynamic DNA structure states and memory formation. Activity-induced gene expression is central to neural plasticity, learning, and memory; however, the underlying mechanisms of these processes in the brain have yet to be fully resolved. The aim of this proposal is to obtain a deeper understanding of the functional relationship between genes and brain function. By elucidating the full repertoire of epigenetic mechanisms in the brain during learning and the formation of memory, it is hoped that the true nature of brain adaptation across the lifespan will be revealed. Findings which may then provide new opportunities to strengthen, maintain and optimise cognitive function.Read moreRead less
Investigating Hippo-regulated transcription at single molecule resolution. Signalling pathways operate throughout life to relay signals from the extracellular world to the cellular nucleus, to control transcription and elicit a response. This project aims to understand how the Hippo growth control pathway regulates transcription. Using a combination of biology, biophysics and computational biology, this project aims to quantify behaviour of the Hippo pathway transcription factors at sub-micron r ....Investigating Hippo-regulated transcription at single molecule resolution. Signalling pathways operate throughout life to relay signals from the extracellular world to the cellular nucleus, to control transcription and elicit a response. This project aims to understand how the Hippo growth control pathway regulates transcription. Using a combination of biology, biophysics and computational biology, this project aims to quantify behaviour of the Hippo pathway transcription factors at sub-micron resolution, and how Hippo signalling modulates their behaviour, interaction with the genome and function. We anticipate our discoveries will stimulate new research, e.g. testing of how other signaling pathways regulate transcription. Intended benefits are creation of jobs and new knowledge on fundamental principles of life.Read moreRead less