Discovery Early Career Researcher Award - Grant ID: DE170100506
Funder
Australian Research Council
Funding Amount
$372,000.00
Summary
Specialised ribosomes: An unexplored regulatory layer to tune the proteome. This project aims to decipher human ribosome composition across tissues and conditions, and regulate its composition and activity (selective translation of subsets of transcripts) in a tissue-dependent, spatial and temporal manner – a major challenge in biology. Although ribosomes have been historically thought of as uniform entities, recent evidence suggests that their composition might be regulated. Elevating the expre ....Specialised ribosomes: An unexplored regulatory layer to tune the proteome. This project aims to decipher human ribosome composition across tissues and conditions, and regulate its composition and activity (selective translation of subsets of transcripts) in a tissue-dependent, spatial and temporal manner – a major challenge in biology. Although ribosomes have been historically thought of as uniform entities, recent evidence suggests that their composition might be regulated. Elevating the expression of a target protein without affecting mRNA levels is expected to benefit other disciplines, including biotechnology (e.g. recombinant protein expression), biomedicine (e.g. treatment of a human disease by suppression or enhancement of the levels of key disease-related proteins) and synthetic biology.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220101210
Funder
Australian Research Council
Funding Amount
$451,634.00
Summary
Deciphering molecular genetic mechanisms underlying chromatin interactions. This project aims to generate the high confidence map of enhancer-promoter links in 61 tissues and cells through robust integration of novel machine learning tools with genomic and epigenomic datasets. Understanding which key elements in the genome may be important to fine-tune gene expression is essential for understanding biological pathways. The expected outcomes include i) New tools to robustly identify true chromati ....Deciphering molecular genetic mechanisms underlying chromatin interactions. This project aims to generate the high confidence map of enhancer-promoter links in 61 tissues and cells through robust integration of novel machine learning tools with genomic and epigenomic datasets. Understanding which key elements in the genome may be important to fine-tune gene expression is essential for understanding biological pathways. The expected outcomes include i) New tools to robustly identify true chromatin pairs; ii) Comperehensive maps of regulatory interactomes in 61 tissues & cells, which will provide a roadmap for interpreting & prioritising noncoding variants.
This should provide significant benefit to Australia's capacity for cutting-edge genomics research through fundamental understanding of gene regulation mechanism.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
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
Australian Laureate Fellowships - Grant ID: FL230100030
Funder
Australian Research Council
Funding Amount
$3,320,000.00
Summary
A walk on the wild side: understanding disease resistance across plants. Plants are in constant battle with pests and pathogens. Wild species host genetic diversity, providing sources of disease resistance, while the narrow genetic base of crop varieties leads to an increasing reliance on the unsustainable application of chemical fungicides. Here I will apply the latest genomics approaches to characterise disease resistance gene diversity across the plant kingdom. Comparison of gene diversity wi ....A walk on the wild side: understanding disease resistance across plants. Plants are in constant battle with pests and pathogens. Wild species host genetic diversity, providing sources of disease resistance, while the narrow genetic base of crop varieties leads to an increasing reliance on the unsustainable application of chemical fungicides. Here I will apply the latest genomics approaches to characterise disease resistance gene diversity across the plant kingdom. Comparison of gene diversity within and between plant families will improve our understanding of resistance gene evolution in wild species and the impact of domestication and breeding on resistance gene diversity. Translation of this knowledge will support breeding for crop resilience, leading to durable resistance and more sustainable crop productionRead 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
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.
Evolution and function of mammalian sex chromosomes. Research on iconic Australian mammals has profoundly reshaped our understanding of reproductive biology and sex chromosome evolution. In this project we combine unique expertise, international collaboration and novel genetic information about Australia's unique egg-laying mammals (echidna and platypus) to investigate major aspects of reproduction. This work will address fundamental aspects of sex chromosome biology and advance our understandin ....Evolution and function of mammalian sex chromosomes. Research on iconic Australian mammals has profoundly reshaped our understanding of reproductive biology and sex chromosome evolution. In this project we combine unique expertise, international collaboration and novel genetic information about Australia's unique egg-laying mammals (echidna and platypus) to investigate major aspects of reproduction. This work will address fundamental aspects of sex chromosome biology and advance our understanding of mammalian reproduction. The knowledge gained will have application in captive breeding and conservation of these extraordinary Australian mammals. The project also provides opportunity to train research students in cutting edge molecular biology and informatics.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
Understanding disease resistance gene evolution across the Brassicaceae. Pan genomes represent the diversity of a species, including structural and sequence variation, which cannot be provided by a reference genome alone. In this project we will characterise resistance gene diversity across the Brassicaceae pan genomes. Through comparison with resistance gene diversity in cultivated Brassica species we will understand selection underlying resistance gene evolution in wild species and subsequent ....Understanding disease resistance gene evolution across the Brassicaceae. Pan genomes represent the diversity of a species, including structural and sequence variation, which cannot be provided by a reference genome alone. In this project we will characterise resistance gene diversity across the Brassicaceae pan genomes. Through comparison with resistance gene diversity in cultivated Brassica species we will understand selection underlying resistance gene evolution in wild species and subsequent domestication and breeding. Knowledge on how variation affects disease susceptibility, especially to the devastating fungal pathogen blackleg, and contributes to phenotypic variation, will lead to improved plant protection strategies and increased crop resilience.Read moreRead less