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
The role of gene isoforms in human brain development. This project aims to investigate how genes vary their products to control human brain development, by creating new methods to study gene activity in individual brain cells. Using these innovative methods, this project expects to generate fundamental new knowledge of how the human brain forms. Expected outcomes of this project include widely applicable techniques, strengthened international (UK) research collaborations and highly trained perso ....The role of gene isoforms in human brain development. This project aims to investigate how genes vary their products to control human brain development, by creating new methods to study gene activity in individual brain cells. Using these innovative methods, this project expects to generate fundamental new knowledge of how the human brain forms. Expected outcomes of this project include widely applicable techniques, strengthened international (UK) research collaborations and highly trained personnel in genomics and neuroscience. This should deliver many benefits, including a better understanding of how the brain forms, training of higher degree by research students, as well as tools and methods of benefit to the academic research and biotechnology sectors.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
Whole-genome multivariate reaction norm model for complex traits. This project aims to develop a multivariate whole-genome genotype-covariate correlation and interaction model that can be applied to a wide range of existing genome-wide association study (GWAS) datasets. Genotype-covariate correlation and interaction (GCCI) are fundamental in biology but there is no standard approach to disentangle interaction from correlation in the whole-genome analyses. This project will address the key featur ....Whole-genome multivariate reaction norm model for complex traits. This project aims to develop a multivariate whole-genome genotype-covariate correlation and interaction model that can be applied to a wide range of existing genome-wide association study (GWAS) datasets. Genotype-covariate correlation and interaction (GCCI) are fundamental in biology but there is no standard approach to disentangle interaction from correlation in the whole-genome analyses. This project will address the key feature in biology, which relates to dissecting the complex mechanism of association and interaction. The proposed statistical model implemented in a context of a novel design based on multiple GWAS data sets is a paradigm shifting-tool with applications to multiple industries.Read moreRead less
How novel ribosomal RNA gene repeat variants drive cellular function. The hundreds of ribosomal RNA gene repeat copies are a remarkable part of our genomes, as they encode the machinery responsible for all cellular protein synthesis and shape the structure of the nucleus. However, due to their high degree of sequence similarity, they still have not been assembled into the human genome reference. This project will resolve this impasse and furthermore uncover the functional impacts of a newly iden ....How novel ribosomal RNA gene repeat variants drive cellular function. The hundreds of ribosomal RNA gene repeat copies are a remarkable part of our genomes, as they encode the machinery responsible for all cellular protein synthesis and shape the structure of the nucleus. However, due to their high degree of sequence similarity, they still have not been assembled into the human genome reference. This project will resolve this impasse and furthermore uncover the functional impacts of a newly identified molecular diversity in the ribosomal RNA gene repeats. Outcomes include new paradigms for how the ribosomal RNA gene repeats drive protein synthesis and genome structure, and a blueprint to develop novel genomics applications for human health, biotechnology, and agriculture.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
Discovery Early Career Researcher Award - Grant ID: DE220101210
Funder
Australian Research Council
Funding Amount
$451,634.00
Summary
Deciphering molecular genetic mechanisms underlying chromatin interactions. This project aims to generate the high confidence map of enhancer-promoter links in 61 tissues and cells through robust integration of novel machine learning tools with genomic and epigenomic datasets. Understanding which key elements in the genome may be important to fine-tune gene expression is essential for understanding biological pathways. The expected outcomes include i) New tools to robustly identify true chromati ....Deciphering molecular genetic mechanisms underlying chromatin interactions. This project aims to generate the high confidence map of enhancer-promoter links in 61 tissues and cells through robust integration of novel machine learning tools with genomic and epigenomic datasets. Understanding which key elements in the genome may be important to fine-tune gene expression is essential for understanding biological pathways. The expected outcomes include i) New tools to robustly identify true chromatin pairs; ii) Comperehensive maps of regulatory interactomes in 61 tissues & cells, which will provide a roadmap for interpreting & prioritising noncoding variants.
This should provide significant benefit to Australia's capacity for cutting-edge genomics research through fundamental understanding of gene regulation mechanism.Read moreRead less