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.
Identification of Biological pathways regulated by circular RNAs. Circular RNAs (circRNAs) are a, recently discovered molecule. circRNAs are highly abundant and expressed in a tissue and disease specific manner. Yet, currently the understanding of how circRNAs regulate biological processes is very poor. This project aims to use pooled shRNA libraries to screen a large panel of cell lines and systematically identify cellular activities that are regulated by circRNAs. The expected outcome of this ....Identification of Biological pathways regulated by circular RNAs. Circular RNAs (circRNAs) are a, recently discovered molecule. circRNAs are highly abundant and expressed in a tissue and disease specific manner. Yet, currently the understanding of how circRNAs regulate biological processes is very poor. This project aims to use pooled shRNA libraries to screen a large panel of cell lines and systematically identify cellular activities that are regulated by circRNAs. The expected outcome of this study will be a catalogue of functionally active circRNAs. Over the past decades, the wealth of knowledge on the function of linear mRNAs has had a significant impact on medicine and agriculture. Similarly understanding how circRNAs regulate cellular activities may have an analogous impact on humans.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
HEN1 is a regulator of piRNA metabolism, transcriptional regulation and mammalian male fertility. This project is to define the biochemistry of a previously uncharacterized protein in male fertility using a unique mouse model and innovative DNA and protein technologies. This project will define a novel, and essential, pathway for male fertility and may ultimately have relevance to the maintenance of health or improving fertility.
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
The evolutionary origin, cellular response and genetic impact of insecticide resistance mutations in agricultural pests. Diamondback moth is a global pest of canola and Brassica vegetables, and populations can rapidly evolve resistance to insecticides. The project will use a combination of genome sequencing, fieldwork and gene expression analysis to identify mutations causing resistance to Bt insecticidal toxins and assess the threat of resistance evolving in Australia.
Evolution and function of mammalian sex chromosomes. Research on iconic Australian mammals has profoundly reshaped our understanding of reproductive biology and sex chromosome evolution. In this project we combine unique expertise, international collaboration and novel genetic information about Australia's unique egg-laying mammals (echidna and platypus) to investigate major aspects of reproduction. This work will address fundamental aspects of sex chromosome biology and advance our understandin ....Evolution and function of mammalian sex chromosomes. Research on iconic Australian mammals has profoundly reshaped our understanding of reproductive biology and sex chromosome evolution. In this project we combine unique expertise, international collaboration and novel genetic information about Australia's unique egg-laying mammals (echidna and platypus) to investigate major aspects of reproduction. This work will address fundamental aspects of sex chromosome biology and advance our understanding of mammalian reproduction. The knowledge gained will have application in captive breeding and conservation of these extraordinary Australian mammals. The project also provides opportunity to train research students in cutting edge molecular biology and informatics.Read moreRead less
Discovering the pathways and mechanisms underlying bio-insecticide control of the global migratory pest, diamondback moth, Plutella xylostella. Sustaining crop yield and maintaining food security is a significant worldwide concern. This project aims to strengthen insect pest control strategies and improve bio-insecticide use in agriculture through better understanding of the mode of action of Bacillus thuringiensis (Bt) insecticides. It aims to improve their efficacy and evaluate opportunities t ....Discovering the pathways and mechanisms underlying bio-insecticide control of the global migratory pest, diamondback moth, Plutella xylostella. Sustaining crop yield and maintaining food security is a significant worldwide concern. This project aims to strengthen insect pest control strategies and improve bio-insecticide use in agriculture through better understanding of the mode of action of Bacillus thuringiensis (Bt) insecticides. It aims to improve their efficacy and evaluate opportunities to develop bio-insecticides based on plant saponins. This will assist in determining the risk of insecticide resistant moths migrating to Australia, and within our borders. This project aims to provide opportunities to improve transgenic Bt-crops and Bt-sprays, provide commercial development of new bio-insecticides, and develop optimal control strategies for major Australian migratory pests.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).