Multilevel selection and the integrity of mitochondrial DNA. This project aims to investigate the evolutionary conundrum of how and why organelles remain asexual. The widespread occurrence of sexual reproduction suggests that sex is beneficial to organisms. Yet we all carry an ancient genome that never had sex, the mitochondrial genome (mtDNA). Theory predicts that mtDNA should no longer exist, because without sex it accumulates deleterious mutations and cannot accumulate beneficial ones. Yet mt ....Multilevel selection and the integrity of mitochondrial DNA. This project aims to investigate the evolutionary conundrum of how and why organelles remain asexual. The widespread occurrence of sexual reproduction suggests that sex is beneficial to organisms. Yet we all carry an ancient genome that never had sex, the mitochondrial genome (mtDNA). Theory predicts that mtDNA should no longer exist, because without sex it accumulates deleterious mutations and cannot accumulate beneficial ones. Yet mtDNA does not suffer mutational meltdown and is shown to adapt. This project will explain how, proposing that the combination of two traits, uniparental inheritance and multiple genomes per cell, make up for the lack of sex. This project expects to provide an explanation for the evolutionary question of what keeps mitochondria healthy, important as mitochondria affect ageing and health.Read moreRead less
Improving the efficiency of CRISPR gene editing in cells. Human red blood cells are well-characterised and the globin gene locus is a model system for the study of gene regulation. Gene editing technologies and delivery tools are evolving rapidly and the globin gene locus is the perfect model for gene editing optimisation. This collaboration between UNSW Sydney and CSL aims to bring together our combined expertise and new technologies to develop an optimal platform for genetic modification in a ....Improving the efficiency of CRISPR gene editing in cells. Human red blood cells are well-characterised and the globin gene locus is a model system for the study of gene regulation. Gene editing technologies and delivery tools are evolving rapidly and the globin gene locus is the perfect model for gene editing optimisation. This collaboration between UNSW Sydney and CSL aims to bring together our combined expertise and new technologies to develop an optimal platform for genetic modification in a red blood cell line. Simultaneously, this project aims to generate fundamental insights into mechanisms of human gene regulation. The technological and biological outcomes of this project will be of benefit for future gene editing applications.Read moreRead less
Investigating differences in decision-making ability in older adults. This project aims to investigate how healthy ageing impacts decision making and its associated neural circuits using computation modelling and neurogenetic methods. Decision-making is a fundamental cognitive ability, allowing us to choose the best course of action. This project will investigate the relationship between genes and decision-making performance across the adult lifespan. Expected outcomes include a deeper understan ....Investigating differences in decision-making ability in older adults. This project aims to investigate how healthy ageing impacts decision making and its associated neural circuits using computation modelling and neurogenetic methods. Decision-making is a fundamental cognitive ability, allowing us to choose the best course of action. This project will investigate the relationship between genes and decision-making performance across the adult lifespan. Expected outcomes include a deeper understanding of how decision-making evolves in healthy ageing, and a tool based on genetic scores and computational modelling to predict an individual's trajectory of cognitive function. This could help identify individuals who are at risk for cognitive decline, which could then inform better interventions.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