The Epigenetics of Sex in the Dragon. Genetic codes do not directly translate to phenotypes -- environment acts through epigenetics to modify development. We use advanced molecular techniques to examine how epigenetics responds to temperature to reverse sex in our novel animal model, the dragon lizard. How does the cell sense temperature? Once the extrinsic signal is captured, how does it influence chromatin modification to release or suppress key genes in the sex differentiation pathway? Which ....The Epigenetics of Sex in the Dragon. Genetic codes do not directly translate to phenotypes -- environment acts through epigenetics to modify development. We use advanced molecular techniques to examine how epigenetics responds to temperature to reverse sex in our novel animal model, the dragon lizard. How does the cell sense temperature? Once the extrinsic signal is captured, how does it influence chromatin modification to release or suppress key genes in the sex differentiation pathway? Which sex genes are targets? Epigenetic enzymes are astonishingly conserved, providing exciting opportunities to draw from human systems to unravel novel signatures of temperature-induced sex switching in reptiles. This project will advance knowledge of developmental programming generally.Read moreRead less
The impact of Hyaluronic Acid on growth factor signalling and angiogenesis. Blood vessel development is controlled by growth factor signalling. Vessels are attracted by and migrate along growth factor gradients, and this is controlled by the extracellular matrix (ECM). From the zebrafish model, we have identified a novel gene that modulates the ECM, impacting growth factor signalling and vessel development. The project will explore by what mechanism this gene impacts signalling. It will comprehe ....The impact of Hyaluronic Acid on growth factor signalling and angiogenesis. Blood vessel development is controlled by growth factor signalling. Vessels are attracted by and migrate along growth factor gradients, and this is controlled by the extracellular matrix (ECM). From the zebrafish model, we have identified a novel gene that modulates the ECM, impacting growth factor signalling and vessel development. The project will explore by what mechanism this gene impacts signalling. It will comprehensively define where in the embryo it is required and investigate what cofactors it interacts with to perform its function. Using genetic zebrafish and mouse models as well as cell culture models we will investigate the fundamental biology of this gene.Read moreRead less
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
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