Diet influences the selective advantage of mitochondrial DNA mutations. This project aims to examine critical mechanisms that affect mitochondrial DNA variation within species. It aims to test the hypothesis that mitochondrial DNA haplotypes have the potential to be under nutritionally induced balancing selection as a consequence of cellular signalling and/or Adenosine triphosphate (ATP) production by mitochondria. Diet can vary both seasonally and geographically and is a key environmental param ....Diet influences the selective advantage of mitochondrial DNA mutations. This project aims to examine critical mechanisms that affect mitochondrial DNA variation within species. It aims to test the hypothesis that mitochondrial DNA haplotypes have the potential to be under nutritionally induced balancing selection as a consequence of cellular signalling and/or Adenosine triphosphate (ATP) production by mitochondria. Diet can vary both seasonally and geographically and is a key environmental parameter that influences the ability of a species to colonise new habitats. The project plans to characterise the functional links between specific mitochondrial DNA haplotypes, mitochondrial functions and organismal traits. The expected outcome is a more precise grasp of the processes influencing genetic variation within and among species, which would inform current issues in ecology and genetics.Read moreRead less
Hidden complexity in microRNA function. This project aims to determine the extent to which microRNAs function through “non-canonical” mechanisms within cell nuclei, how their roles are expanded by naturally occurring sequence variation and how their activity is controlled by little known families of genes that sequester and inhibit their availability. The knowledge generated is significant as microRNAs regulate the expression of virtually all genes and biological processes, yet these mechanisms ....Hidden complexity in microRNA function. This project aims to determine the extent to which microRNAs function through “non-canonical” mechanisms within cell nuclei, how their roles are expanded by naturally occurring sequence variation and how their activity is controlled by little known families of genes that sequester and inhibit their availability. The knowledge generated is significant as microRNAs regulate the expression of virtually all genes and biological processes, yet these mechanisms of function remain poorly characterised and seldom considered. The expected outcome of better understanding mechanisms through which microRNAs work should provide significant benefit to safe and effective development of microRNAs for future agricultural or therapeutic application.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100883
Funder
Australian Research Council
Funding Amount
$365,058.00
Summary
Palaeo-population genomics: studying adaptation using ancient human DNA. This project aims to apply state-of-the-art population and quantitative genetic techniques to a powerful new database of ancient human genomes - spanning from hunter gatherers and early farmers through to the Middle Ages. This will be used to build the first detailed portrait of human genetic adaptation through time. This record will capture the major socio-cultural transitions in human history, and reveal the genetic and e ....Palaeo-population genomics: studying adaptation using ancient human DNA. This project aims to apply state-of-the-art population and quantitative genetic techniques to a powerful new database of ancient human genomes - spanning from hunter gatherers and early farmers through to the Middle Ages. This will be used to build the first detailed portrait of human genetic adaptation through time. This record will capture the major socio-cultural transitions in human history, and reveal the genetic and environmental drivers that have shaped modern human genetic diversity and pathology.Read moreRead less
Estimating genotype-environment interaction using genomic information. This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and meth ....Estimating genotype-environment interaction using genomic information. This project aims to develop statistical methods that can explore genotype–environment interaction at the genomic level using genome-wide single nucleotide polymorphisms or sequence data. It plans to estimate how the effects of genetic variants change with changing environmental conditions and how overall genetic variance changes due to changing effects in specific gene regions. It plans to deliver statistical models and methods and an efficient algorithm implemented in software, which would broadly benefit the field of complex trait genetics. Methods to estimate genotype–environment interaction effects at the genomic level would help elucidate complex biological systems, including human genetic response to changing environmental factors and the potential adaptation of animals to changing environmental conditions.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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100234
Funder
Australian Research Council
Funding Amount
$430,000.00
Summary
Enhancement of South Australian high-performance computing facilities. These facilities will enable the efficient use of high-performance computing and will more than double the capability provided by eResearch SA for South Australian researchers. They will support large-scale applications, running over many processors in parallel (high-performance computing) or large numbers of single processors (high-throughput computing).