Developing Zn-dense, high-yielding wheat by molecular marker technology. The objective of this project is to identify pathways leading to the accumulation of zinc — an important element for human nutrition — in wheat. The project aims to provide biochemical and molecular markers for breeding programs that will facilitate the selection of superior breeding lines for improved human nutrition and seed health. This project builds on studies using a wheat diversity panel with 90 000 gene-based single ....Developing Zn-dense, high-yielding wheat by molecular marker technology. The objective of this project is to identify pathways leading to the accumulation of zinc — an important element for human nutrition — in wheat. The project aims to provide biochemical and molecular markers for breeding programs that will facilitate the selection of superior breeding lines for improved human nutrition and seed health. This project builds on studies using a wheat diversity panel with 90 000 gene-based single nucleotide polymorphism (SNP) markers, where zinc–SNP associations were identified. The project also builds on recent studies that show particular metabolites and macronutrients around anthesis are linked to improved grain zinc concentration at maturity.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
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
Nanotribology and Nanorheometry: A Fundamental Study of the Dynamic Interactions of Particles and Surfaces at the Molecular Level. Friction and deformation occur from the mutual motion and interaction of microscopic particles and surfaces. This research aims to develop new theories and measurement techniques for these non-equilibrium phenomena by combining mathematical analysis and numerical computations with dynamic force measurement, surface modification, and surface characterisation on nanom ....Nanotribology and Nanorheometry: A Fundamental Study of the Dynamic Interactions of Particles and Surfaces at the Molecular Level. Friction and deformation occur from the mutual motion and interaction of microscopic particles and surfaces. This research aims to develop new theories and measurement techniques for these non-equilibrium phenomena by combining mathematical analysis and numerical computations with dynamic force measurement, surface modification, and surface characterisation on nanometre and molecular length scales. These insights and data will be critically important in designing low-friction surfaces that save energy and wear, in developing nanoscopic probes for the mechanical and structural properties of soft polymeric and bio-materials, and in making high performance coatings that control adhesion and particle aggregation in technologically advanced applications.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0346515
Funder
Australian Research Council
Funding Amount
$507,000.00
Summary
Fluorescence Detector for the Australian National Beamline Facility. X-ray absorption spectroscopy (XAS) is an extremely important synchrotron radiation tool for determining the local structure around an X-ray absorbing atom. This has many applications in the study of materials, minerals, metal complexes, and metalloproteins and can often be used to obtain information that is not available by other techniques, because structural information can be obtained in the solid or solution state and in ....Fluorescence Detector for the Australian National Beamline Facility. X-ray absorption spectroscopy (XAS) is an extremely important synchrotron radiation tool for determining the local structure around an X-ray absorbing atom. This has many applications in the study of materials, minerals, metal complexes, and metalloproteins and can often be used to obtain information that is not available by other techniques, because structural information can be obtained in the solid or solution state and in mixtures. The current proposal is aimed at introducing new technology into the Australian National Beamline Facility that will greatly improve the quality and quantity of experiments that can be performed and extend studies into dilute solutions and protein samples.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100093
Funder
Australian Research Council
Funding Amount
$600,000.00
Summary
Shared laser facility. This shared laser facility will provide a pool of lasers to support the research of about 20 research groups and 30 PhD students.