Integrating a physical and functional genetic map of Prunus dulcis. Genome wide physical mapping is the centrepiece of current genomics research in virtually all plant and animal species. The proposal seeks to champion the development of Prunus dulcis (Rosaceae) as a model perennial species towards parity with other plant model systems for gene discovery and validation. The Rosaceae represents a rich repository of genes of relevance to perenniality, adaptation, sustainable agriculture, health a ....Integrating a physical and functional genetic map of Prunus dulcis. Genome wide physical mapping is the centrepiece of current genomics research in virtually all plant and animal species. The proposal seeks to champion the development of Prunus dulcis (Rosaceae) as a model perennial species towards parity with other plant model systems for gene discovery and validation. The Rosaceae represents a rich repository of genes of relevance to perenniality, adaptation, sustainable agriculture, health and nutrition and the bioindustries. Ultimately, comparative genomics across the family will advance molecular eco-genetics via dissection of traits determining adaptive response. Access to user-friendly molecular markers will also bring greater precision to breeding programmes. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0453684
Funder
Australian Research Council
Funding Amount
$301,921.00
Summary
Joint facility for genome analysis. This project will establish a joint facility for genome analysis supported by the Universities of Adelaide and South Australia, the Australian Centre for Plant Functional Genomics and the Australian Wine Research Institute. The facility will purchase novel equipment for high-throughput gene selection and screening, advanced DNA and protein imaging and a dedicated reconfigurable computing platform for advanced bioinformatic analysis. The equipment has been ta ....Joint facility for genome analysis. This project will establish a joint facility for genome analysis supported by the Universities of Adelaide and South Australia, the Australian Centre for Plant Functional Genomics and the Australian Wine Research Institute. The facility will purchase novel equipment for high-throughput gene selection and screening, advanced DNA and protein imaging and a dedicated reconfigurable computing platform for advanced bioinformatic analysis. The equipment has been targeted to overcome technical barriers that limit the rapid adoption of genome discovery projects in South Australia. This facility will result in new plant gene discovery and improved understanding of fundamental plant processes.Read moreRead less
How common and what is the significance of cis-acting regulatory variation and genomic imprinting in plants? Plant based processes provide truly sustainable solutions to many of the challenges facing Australia. The proposed research will help elucidate how plants regulate variation in gene expression rather than changes in the structure of encoded proteins. This is an area of gene expression, that has not been approached before, that explains the plant's ability to respond to external stimuli. ....How common and what is the significance of cis-acting regulatory variation and genomic imprinting in plants? Plant based processes provide truly sustainable solutions to many of the challenges facing Australia. The proposed research will help elucidate how plants regulate variation in gene expression rather than changes in the structure of encoded proteins. This is an area of gene expression, that has not been approached before, that explains the plant's ability to respond to external stimuli. Variation between plant species in the number of genes does not fully explain the differences between them. This information will come not from seqenceing genomes but from investigation of regulatory elements. Read moreRead less
The genetic and molecular organisation of the self incompatibility gene region in the grasses. Self-incompatibility (SI) is a cell-cell recognition process used by plants to prevent self-pollination and force outcrossing. It is widespread, occurring in a third of plant families. Although studies of SI go back to the 1800s, the origin of SI remains a mystery. Recent advances in the molecular characterisation of SI loci in some species has re-ignited debate on its origins but has provided few answ ....The genetic and molecular organisation of the self incompatibility gene region in the grasses. Self-incompatibility (SI) is a cell-cell recognition process used by plants to prevent self-pollination and force outcrossing. It is widespread, occurring in a third of plant families. Although studies of SI go back to the 1800s, the origin of SI remains a mystery. Recent advances in the molecular characterisation of SI loci in some species has re-ignited debate on its origins but has provided few answers. This project uses the grasses to explore the origins of SI. As a model system, the grasses offer detailed genetic and molecular data and aspects of floral architecture associated with SI can be investigatedRead moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100217
Funder
Australian Research Council
Funding Amount
$395,220.00
Summary
Harnessing Mendel’s workhorse: meiotic crossovers for genetic diversity in crop breeding. Introducing genetic diversity from wild species into elite lines of wheat and barley may increase their resistance to the stresses they are exposed to in the field. Modern breeding cultivars could capture up to ten times more genetic variation. This project aims to gain fundamental insights into the genetic and environmental factors that limit the rates at which new genomic combinations can be made. This wi ....Harnessing Mendel’s workhorse: meiotic crossovers for genetic diversity in crop breeding. Introducing genetic diversity from wild species into elite lines of wheat and barley may increase their resistance to the stresses they are exposed to in the field. Modern breeding cultivars could capture up to ten times more genetic variation. This project aims to gain fundamental insights into the genetic and environmental factors that limit the rates at which new genomic combinations can be made. This will transform wheat and barley breeding methods, unlocking available genetic diversity to produce new varieties. Read moreRead less
Control points in nitrogen uptake: enhancing the response of cereals to nitrogen supply and demand. Vast amounts of nitrogen fertiliser are applied to cereal crops to maintain yields. By uncovering what limits nitrogen uptake in cereals, this project will provide the scientific basis for improving nitrogen use efficiency and decreasing fertiliser use, with significant economic and environmental benefits.
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
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