Developing new methods to retrieve and analyse preserved genetic information. This project will position Australia at the leading edge of research into preserved DNA, and will use innovative molecular biology approaches to develop a range of new forensic, archaeological and medical applications. It will build Australian knowledge and scientific capacity by developing core expertise and training personnel in areas important for biosecurity, customs and quarantine, forensics/counter-terrorism, and ....Developing new methods to retrieve and analyse preserved genetic information. This project will position Australia at the leading edge of research into preserved DNA, and will use innovative molecular biology approaches to develop a range of new forensic, archaeological and medical applications. It will build Australian knowledge and scientific capacity by developing core expertise and training personnel in areas important for biosecurity, customs and quarantine, forensics/counter-terrorism, and studies of climate change. It will also create and foster research innovation in molecular biology with spin-offs for evolution, archaeology, medical and conservation biology research, and will also encourage involvement with the rapidly expanding field of genomics and bioinformatics.Read moreRead less
Identifying the diversity and evolution of loci associated with adaptation to aridity/heat and salinity in ancient cereal crops. This project will use ancient grains of wheat, barley and rye to find 'lost' genetic diversity at key genes associated with resistance to aridity, salt and disease. This project will make the proteins of key genes, and study their interaction with the environment over time by measuring ions in the grains to reveal the ancient environmental conditions.
Understanding the molecular mechanisms of intellectual disability. Intellectual disability is frequent in the population, with one in every fifty people in the world directly affected. This project will improve our understanding of the correct development and function of the brain required for cognition by investigating specific roles and regulation of key molecules involved.
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
Exploring genetic diversity to identify new heat tolerance genes in wheat. This project aims to improve the selection and development of heat-tolerant wheat varieties. Heatwaves seriously reduce wheat yields worldwide, and the situation will worsen with climate variation. This project aims to apply a broad genetic scan to identify the main chromosome regions controlling heat tolerance at the sensitive flowering stage in Australian and European wheat varieties. It is expected that this knowledge ....Exploring genetic diversity to identify new heat tolerance genes in wheat. This project aims to improve the selection and development of heat-tolerant wheat varieties. Heatwaves seriously reduce wheat yields worldwide, and the situation will worsen with climate variation. This project aims to apply a broad genetic scan to identify the main chromosome regions controlling heat tolerance at the sensitive flowering stage in Australian and European wheat varieties. It is expected that this knowledge will deliver crucial breeders’ tools to select heat-tolerant varieties. The project also aims to identify genes most likely to control tolerance at these chromosome locations using gene expression profiling data, trait associations and knowledge of heat-tolerance genes from other species. It is expected that these genes will reveal molecular mechanisms of heat tolerance and create new opportunities to engineer superior levels of tolerance in cereals.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
Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, populat ....Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, population samples or from different populations (e.g. multi-ethnicities or multi-breeds). The expected outcome is to better understand the dynamic architecture of complex traits and develop methods with improved power, precision and accuracy in genomic analyses.Read moreRead less