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
Gene regulation by retroelement encoded natural antisense transcripts. Genetic information underpins all life on earth and is processed to make proteins, which determine the characteristics of an organism. However, only about 2% of our whole genome is made up of genes that encode proteins; the other 98% is non-coding and its function remains poorly understood. Aims and Significance: This proposal aims to utilise cutting edge genomic technologies to generate new knowledge about how the non-coding ....Gene regulation by retroelement encoded natural antisense transcripts. Genetic information underpins all life on earth and is processed to make proteins, which determine the characteristics of an organism. However, only about 2% of our whole genome is made up of genes that encode proteins; the other 98% is non-coding and its function remains poorly understood. Aims and Significance: This proposal aims to utilise cutting edge genomic technologies to generate new knowledge about how the non-coding genome regulates the expression of protein coding genes. Expected Outcomes and Benefits: This proposal will provide novel targets and methodology for gene modulation with broad applications from biology to environmental sciences.Read moreRead less
Programmed cell death signalling in innate immunity. This proposal aims to address the under-explored potential for programmed cell death to promote innate immune cell signalling, which is a critical and fundamental biological process. It aims to generate new knowledge in the areas of cell death and innate signalling using innovative interdisciplinary approaches and discover new molecules that impact innate inflammatory responses. The expected outcomes of this project are to enhance our basic un ....Programmed cell death signalling in innate immunity. This proposal aims to address the under-explored potential for programmed cell death to promote innate immune cell signalling, which is a critical and fundamental biological process. It aims to generate new knowledge in the areas of cell death and innate signalling using innovative interdisciplinary approaches and discover new molecules that impact innate inflammatory responses. The expected outcomes of this project are to enhance our basic understanding of cell death, and build interdisciplinary collaborations. This work should provide significant benefit to the economy and health of Australians, as it is expected to identify molecules that will be of interest to the pharmaceutical and biotechnology industries.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