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.
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
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
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
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
Diet influences the selective advantage of mitochondrial DNA mutations. This project aims to examine critical mechanisms that affect mitochondrial DNA variation within species. It aims to test the hypothesis that mitochondrial DNA haplotypes have the potential to be under nutritionally induced balancing selection as a consequence of cellular signalling and/or Adenosine triphosphate (ATP) production by mitochondria. Diet can vary both seasonally and geographically and is a key environmental param ....Diet influences the selective advantage of mitochondrial DNA mutations. This project aims to examine critical mechanisms that affect mitochondrial DNA variation within species. It aims to test the hypothesis that mitochondrial DNA haplotypes have the potential to be under nutritionally induced balancing selection as a consequence of cellular signalling and/or Adenosine triphosphate (ATP) production by mitochondria. Diet can vary both seasonally and geographically and is a key environmental parameter that influences the ability of a species to colonise new habitats. The project plans to characterise the functional links between specific mitochondrial DNA haplotypes, mitochondrial functions and organismal traits. The expected outcome is a more precise grasp of the processes influencing genetic variation within and among species, which would inform current issues in ecology and genetics.Read moreRead less
Distributional Consequences of Mass-Market Higher Education in Business. Increased access to tertiary education has not been evaluated for its effects on the full spectrum of individuals served by the tertiary sector. Using longitudinal data on entire student populations at university business faculties, this project will provide the first Australian evidence on the trade-offs amongst the educational success of students with different levels of preparation that occur when those with poorer prep ....Distributional Consequences of Mass-Market Higher Education in Business. Increased access to tertiary education has not been evaluated for its effects on the full spectrum of individuals served by the tertiary sector. Using longitudinal data on entire student populations at university business faculties, this project will provide the first Australian evidence on the trade-offs amongst the educational success of students with different levels of preparation that occur when those with poorer preparation are added to classrooms. Short-term performance and medium-term attrition, a recent educational policy focus, will be evaluated. Theoretically grounded recommendations will result for undergraduate program design to suit a student population with varying levels of university preparation.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