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
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
MICROFABRICATED DEVICES: A SIGNIFICANT ADVANCE FOR THE DETECTION AND MOLECULAR ANALYSES OF CIRCULATING CANCER CELLS?
Funder
National Health and Medical Research Council
Funding Amount
$422,107.00
Summary
Using advanced microfabrication concepts, this project aims to develop a platform technology able to capture tumour cells circulating in the blood of cancer patients. Although present only in extremely small numbers, these cells provide invaluable insights into the pathophysiology of the disease and consequently provide vital diagnostic and prognostic information. Molecular analyses of these cancer cells could ultimately enable the design of improved and personalized cancer treatment.
Pushing AR Toward Better Outcomes In Breast And Prostate Cancers
Funder
National Health and Medical Research Council
Funding Amount
$998,754.00
Summary
Breast and prostate cancers kill >6000 Australians each year. These cancers are strikingly similar, both driven by hormone receptors that have ‘gone bad’. Current therapies aim to eradicate the receptors. While often effective, therapeutic resistance is common and results in fatal disease. We aim to develop new, less toxic treatments that switch receptor behaviour from good to bad, without destroying them. This should improve quality of life, while preventing drug resistance and loss of lives ....Breast and prostate cancers kill >6000 Australians each year. These cancers are strikingly similar, both driven by hormone receptors that have ‘gone bad’. Current therapies aim to eradicate the receptors. While often effective, therapeutic resistance is common and results in fatal disease. We aim to develop new, less toxic treatments that switch receptor behaviour from good to bad, without destroying them. This should improve quality of life, while preventing drug resistance and loss of lives.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