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
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
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
Industrial Transformation Research Hubs - Grant ID: IH130200027
Funder
Australian Research Council
Funding Amount
$4,308,668.00
Summary
ARC Research Hub for genetic diversity and molecular breeding for wheat in a hot and dry climate. ARC Research Hub for genetic diversity and molecular breeding for wheat in a hot and dry climate. This Research Hub, in partnership with wheat breeding companies, aims to deliver advanced technologies, germplasm and information to produce new stress tolerant varieties. Genetic diversity and novel traits will be introduced from exotic germplasm and high-throughput field-phenotyping tools will be deve ....ARC Research Hub for genetic diversity and molecular breeding for wheat in a hot and dry climate. ARC Research Hub for genetic diversity and molecular breeding for wheat in a hot and dry climate. This Research Hub, in partnership with wheat breeding companies, aims to deliver advanced technologies, germplasm and information to produce new stress tolerant varieties. Genetic diversity and novel traits will be introduced from exotic germplasm and high-throughput field-phenotyping tools will be developed to assist in selection of superior lines. Strategic research will be targeted towards the development of wheat with combined heat and drought tolerance and maintenance of high grain protein.Read moreRead less
The biology and epidemiology of the grapevine canker fungi, Botryosphaeria sp. Decline and dieback of grapevines is becoming an increasing problem for the viticulture industry in NSW. Recently, species of the fungus Botryosphaeria, were isolated from grapevines exhibiting these symptoms. In order to understand the biology and epidemiology of the causal organisms, we aim to; (i) determine species of Botryosphaeria present in NSW vineyards; (ii) determine which species are pathogenic on grapevines ....The biology and epidemiology of the grapevine canker fungi, Botryosphaeria sp. Decline and dieback of grapevines is becoming an increasing problem for the viticulture industry in NSW. Recently, species of the fungus Botryosphaeria, were isolated from grapevines exhibiting these symptoms. In order to understand the biology and epidemiology of the causal organisms, we aim to; (i) determine species of Botryosphaeria present in NSW vineyards; (ii) determine which species are pathogenic on grapevines; (iii) characterise the genetic diversity of strains and; (iv) screen fungicides for the control of these fungi. Information on the species, their biology and pathogenicity on grapevines, will enable the development of appropriate management strategies for its control and may lead to the development of molecular tools to identify species of Botryosphaeria.Read moreRead less
Refining the timescale of human evolution and dispersal using ancient DNA. Understanding the timescale of human evolution and migration is a key goal of genetic analysis. It provides the foundation for studying our evolutionary and demographic history, our relationships to other hominids and our impact on the natural world. This project aims to use ancient DNA data to improve estimates of our evolutionary timescale.
Using genetics to recover Australia's lost history. This project aims to use historic hair samples collected by anthropological expeditions in the early 20th Century to generate the first genetic map of Aboriginal Australia – in order to reconstruct Australia’s pre-European genetic and cultural past. The map and the detailed contextual and genealogical information from museum archives will assist Aboriginal communities and individuals to reconstruct their personal and family history and trace an ....Using genetics to recover Australia's lost history. This project aims to use historic hair samples collected by anthropological expeditions in the early 20th Century to generate the first genetic map of Aboriginal Australia – in order to reconstruct Australia’s pre-European genetic and cultural past. The map and the detailed contextual and genealogical information from museum archives will assist Aboriginal communities and individuals to reconstruct their personal and family history and trace ancestry and augment oral or written records. The combination of cutting-edge science, detailed archival research, and a comprehensive family outreach and reporting program will be a step change in assisting Australia’s reconciliation process, the Stolen Generation, and repatriation of Indigenous remains.Read moreRead less
Special Research Initiatives - Grant ID: SR0354716
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Energetically Open Systems Research Network Study. Conceptual frameworks arising in the physical sciences, such as non-equilibrium statistical mechanics and thermodynamics, synergetics, chaos and dynamical systems theory, are seminal in the emerging science of complexity. This study will lay the groundwork for a network to link Australian and overseas research on these fundamental concepts, and their application within the context of entropy-producing systems vital to the long-term sustainabilit ....Energetically Open Systems Research Network Study. Conceptual frameworks arising in the physical sciences, such as non-equilibrium statistical mechanics and thermodynamics, synergetics, chaos and dynamical systems theory, are seminal in the emerging science of complexity. This study will lay the groundwork for a network to link Australian and overseas research on these fundamental concepts, and their application within the context of entropy-producing systems vital to the long-term sustainability of the earth - oceans, atmosphere, biosphere, CO2-free energy production, space and solar environment. The network would facilitate the development of young investigators and be linked into wider complex systems networks such as the CSIRO Centre for Complex Systems Science.Read moreRead less
ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights. In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this ....ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights. In today's world, massive amounts of data in a variety of forms are collected daily from a multitude of sources. Many of the resulting data sets have the potential to make vital contributions to society, business and government, as well as impact on international developments, but are so large or complex that they are difficult to process and analyse using traditional tools. The aim of this Centre is to create innovative mathematical and statistical models that can uncover the knowledge concealed within the size and complexity of these big data sets, with a focus on using the models to deliver insight into problems vital to the Centre's Collaborative Domains: Healthy People, Sustainable Environments and Prosperous Societies.Read moreRead less