The More the Merrier? Investigating copy number variation in Brassicas. This project intends to develop an understanding of how gene copy number variation affects disease susceptibility to help in the design of novel plant protection strategies. Gene copy number variants (CNVs) are segments of DNA that have been duplicated or lost in the genome of one individual or line with respect to another. CNVs have been shown to contribute significantly to phenotypic differences in humans, including diseas ....The More the Merrier? Investigating copy number variation in Brassicas. This project intends to develop an understanding of how gene copy number variation affects disease susceptibility to help in the design of novel plant protection strategies. Gene copy number variants (CNVs) are segments of DNA that have been duplicated or lost in the genome of one individual or line with respect to another. CNVs have been shown to contribute significantly to phenotypic differences in humans, including disease susceptibility, and the same seems to apply in plants. This project aims to apply the genome sequences for Brassica species to detect CNVs from re-sequencing data. Knowing how this variation affects an individual or line’s disease susceptibility, especially to the devastating fungal pathogen blackleg, could improve plant protection strategies and crop production.Read moreRead less
Characterising structural variation in the canola genome. Characterising structural variation in the canola genome. This project aims to develop and apply genomic tools to identify and characterise structural genome variation in canola, a major Australian export crop, to better understand genome evolution and accelerate canola breeding. Advances in DNA sequencing revolutionise our understanding of crop genomes, their evolution and impact on the inheritance on agronomic traits. Variation of genom ....Characterising structural variation in the canola genome. Characterising structural variation in the canola genome. This project aims to develop and apply genomic tools to identify and characterise structural genome variation in canola, a major Australian export crop, to better understand genome evolution and accelerate canola breeding. Advances in DNA sequencing revolutionise our understanding of crop genomes, their evolution and impact on the inheritance on agronomic traits. Variation of genome structure between individuals could be important in the inheritance of important agronomic traits. Recent advances in technology permit the detailed characterisation of structural variation on a previously unfeasible scale. Anticipated outcomes are enhanced global food security, supporting rural Australian economies, and accelerating the improvement of other major crops.Read moreRead less
From the pouch to the grave: age and sex related changes in immunity in the Tasmanian devil. Tasmanian devils face extinction in the wild due to the emergence of a contagious cancer: Devil Facial Tumour Disease (DFTD). A comprehensive understanding of the devil immune system is necessary to better understand the disease and develop a vaccine against it. This project will characterise immune responses of healthy devils throughout life, from the pouch, to onset of puberty, to old age. This project ....From the pouch to the grave: age and sex related changes in immunity in the Tasmanian devil. Tasmanian devils face extinction in the wild due to the emergence of a contagious cancer: Devil Facial Tumour Disease (DFTD). A comprehensive understanding of the devil immune system is necessary to better understand the disease and develop a vaccine against it. This project will characterise immune responses of healthy devils throughout life, from the pouch, to onset of puberty, to old age. This project will then compare these responses in DFTD-affected devils to determine why DFTD affects older animals first and does not affect sexually-immature devils. Additional outcomes will include the development of novel antibiotics against human and animal diseases and an atlas of devil development using the latest imaging technologies.Read moreRead less
Elucidating the molecular mechanisms underlying migraine and endometriosis via genetic dissection. The research aims to identify genetic variants underlying migraine and endometriosis susceptibility. Advances in the genetics of these common and painful disorders, including identification of genetic biomarkers (genetic variations that can predict disease susceptibility, disease outcome, or treatment response), will offer better rationales for scientific enquiry, helping the discovery of new treat ....Elucidating the molecular mechanisms underlying migraine and endometriosis via genetic dissection. The research aims to identify genetic variants underlying migraine and endometriosis susceptibility. Advances in the genetics of these common and painful disorders, including identification of genetic biomarkers (genetic variations that can predict disease susceptibility, disease outcome, or treatment response), will offer better rationales for scientific enquiry, helping the discovery of new treatment pathways and improve predictions of drug efficacy and safety. Thus providing improved treatment strategies for the individual sufferer and reduce the direct medical and indirect economic costs to individual sufferers as well as to the general community.Read moreRead less
Defining the Brassica pan-genome and establishing methods for gene conversion based crop improvement. Gene content varies between individual varieties. The project aims to apply novel genomic tools to identify and characterise the fixed and variable gene content in the important crop canola and use this to understand genome evolution as well as develop tools to accelerate canola breeding. The project team have developed and used a high-resolution genotyping approach to demonstrate that gene conv ....Defining the Brassica pan-genome and establishing methods for gene conversion based crop improvement. Gene content varies between individual varieties. The project aims to apply novel genomic tools to identify and characterise the fixed and variable gene content in the important crop canola and use this to understand genome evolution as well as develop tools to accelerate canola breeding. The project team have developed and used a high-resolution genotyping approach to demonstrate that gene conversions, short recombination events which lead to the non-reciprocal exchange of genomic regions during meiosis, are abundant in crop genomes. The project aims to develop methods and resources to characterise gene conversion in canola and establish a basis for gene conversion based crop improvement.Read moreRead less
Fine Mapping Of A Significant Linkage Region For Endometriosis
Funder
National Health and Medical Research Council
Funding Amount
$518,250.00
Summary
Endometriosis is a common disorder affecting up to 10% of women. In this condition, a special type of tissue that normally lines the inside of the womb (the 'endometrium') starts to grow outside the womb, mostly in the pelvis (lower abdomen). Common symptoms are severe pelvic pain, menstrual problems and infertility. The disease has a major impact on women's health, relationships, productivity and life choices. The mechanisms that cause endometriosis are not well understood. Genetic factors infl ....Endometriosis is a common disorder affecting up to 10% of women. In this condition, a special type of tissue that normally lines the inside of the womb (the 'endometrium') starts to grow outside the womb, mostly in the pelvis (lower abdomen). Common symptoms are severe pelvic pain, menstrual problems and infertility. The disease has a major impact on women's health, relationships, productivity and life choices. The mechanisms that cause endometriosis are not well understood. Genetic factors influence a woman's risk of developing endometriosis and finding genes and pathways leading to this disease would be a major advance. This will help design better approaches for the diagnosis, prevention and treatment of endometriosis. Since 1996, nearly 4,000 women with endometriosis plus their families have joined our genetic study. This includes around 1,000 families with two or more sisters who both have the disease. We have looked at the DNA from these sisters and found significant evidence for a gene or genes affecting endometriosis on one chromosome. No one else has linked this location with endometriosis. We are now focusing our efforts in the laboratory on this area, which contains approximately 250 genes. The aim of our new project is to study genes in the region in more detail to pinpoint the gene or genes responsible for risk of endometriosis.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120100668
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
New Brassica crop species through evolutionary breeding. This projects aims to investigate natural mechanisms by which plants evolve into new species through hybridisation, using Brassica species (canola, cabbages and mustards) as a model. Understanding these processes will allow us to make new, widely adapted Brassica crop species for agricultural production.
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