Genetic architecture and evolution of complex traits across populations. Most human traits have a genetic component and display substantial diversity within and among populations. How natural selection changes and maintains genetic variation in human traits is a long-standing question in evolution that the proposed project aims to answer. Using innovative statistical methods and largest genomic “big” datasets ever across populations of different ancestral backgrounds, this project expects to gen ....Genetic architecture and evolution of complex traits across populations. Most human traits have a genetic component and display substantial diversity within and among populations. How natural selection changes and maintains genetic variation in human traits is a long-standing question in evolution that the proposed project aims to answer. Using innovative statistical methods and largest genomic “big” datasets ever across populations of different ancestral backgrounds, this project expects to generate new knowledge on the roles of natural selection in shaping the genetic variation in traits and identify key factors that drive the differentiation of human populations. These outcomes will significantly improve our understanding on the evolution of human traits and adaptation of populations to changing environments.Read moreRead less
Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statis ....Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statistical methods provide the opportunity to close this gap. The outcome will be identification of many genomic variants causing variation in complex traits. This will benefit scientific understanding of complex traits and the ability to predict traits for individuals from their genome sequence.Read moreRead less
The transgenerational effect of thermosensing in plants. This project aims to understand how thermosensing mechanisms in plants result in transgenerational change, and potentially adaptation to climate. Exploiting the recent discovery of the thermosensor phytochrome B, this project will decipher the molecular cascade which, either through long-distance communication or through persistence of an epigenetic state in the cell lineage, could lead to a trans generational memory in plants helping with ....The transgenerational effect of thermosensing in plants. This project aims to understand how thermosensing mechanisms in plants result in transgenerational change, and potentially adaptation to climate. Exploiting the recent discovery of the thermosensor phytochrome B, this project will decipher the molecular cascade which, either through long-distance communication or through persistence of an epigenetic state in the cell lineage, could lead to a trans generational memory in plants helping with climate adaptation. This project will unravel novel molecular mechanisms, which have the potential to pave the way for designing new climate-proofing solutions to cope with temperature uncertainty.Read moreRead less
Discovering genes for singing ability in Australian families. Music abilities are core to what makes us human, with singing ubiquitous in all cultures. Anecdotal evidence suggests that singing ability runs in families, supporting its genetic basis, however no research has systematically traced it across generations. Using an innovative web-based singing program and the latest molecular genetic techniques, this project aims to discover singing ability genes through the first Australian study of l ....Discovering genes for singing ability in Australian families. Music abilities are core to what makes us human, with singing ubiquitous in all cultures. Anecdotal evidence suggests that singing ability runs in families, supporting its genetic basis, however no research has systematically traced it across generations. Using an innovative web-based singing program and the latest molecular genetic techniques, this project aims to discover singing ability genes through the first Australian study of large families with many talented singers. This will generate new knowledge on the origins of human musicality and help Australia develop a sustainable source of cultural capital. It will build interdisciplinary research capacity and inform bespoke music learning programs that account for individual differences.Read moreRead less
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
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
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
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
Transcription factors find their targets by reading the epigenetic code. This project aims to elucidate how transcription factors, proteins that regulate gene expression, find their target genes. The hypothesis is that non-DNA binding domains play an essential role in this process. This project expects to transform our understanding of transcription factor families, and how factors in families with the same DNA-binding domain manage to regulate different genes. Expected outcomes of this project ....Transcription factors find their targets by reading the epigenetic code. This project aims to elucidate how transcription factors, proteins that regulate gene expression, find their target genes. The hypothesis is that non-DNA binding domains play an essential role in this process. This project expects to transform our understanding of transcription factor families, and how factors in families with the same DNA-binding domain manage to regulate different genes. Expected outcomes of this project include revealing how accessory proteins help transcription factors identify their targets in the genome by reading epigenetic marks. This should provide significant benefits including improved design of artificial transcription factors to up- or down-regulate specific genes in research and agriculture.Read moreRead less