Discovery Early Career Researcher Award - Grant ID: DE210101063
Funder
Australian Research Council
Funding Amount
$462,948.00
Summary
Bacterial cell invasion factors as vaccine targets. This project aims to determine the virulence factors responsible for cellular invasion and systemic spread of Mycoplasma bovis, and use genome editing technologies (CRISPR-Cas9) to create gene knock out mutants that cannot invade host cells and test their potential as vaccine candidates in animals. Mycoplasma bovis is an emerging cause of mastitis, the most important infectious disease in the dairy industry, and causes significant economic loss ....Bacterial cell invasion factors as vaccine targets. This project aims to determine the virulence factors responsible for cellular invasion and systemic spread of Mycoplasma bovis, and use genome editing technologies (CRISPR-Cas9) to create gene knock out mutants that cannot invade host cells and test their potential as vaccine candidates in animals. Mycoplasma bovis is an emerging cause of mastitis, the most important infectious disease in the dairy industry, and causes significant economic losses. The vaccine candidates developed in this project are expected to be used to control outbreaks of mastitis, and to improve biosecurity, production and animal welfare in the Australian and global dairy industries.Read moreRead less
Cracking the code of snails to elucidate parasite disease transmission. In Australia, a disease caused by liver flukes causes major economic losses to livestock production. The role of Australian pond snails as intermediate hosts for this parasite is poorly understood. This project aims to explore the phylogeography, biology and genomics of these snails. It expects to create novel molecular resources for important snail species and verify their roles as key vectors of flatworm parasites. The cur ....Cracking the code of snails to elucidate parasite disease transmission. In Australia, a disease caused by liver flukes causes major economic losses to livestock production. The role of Australian pond snails as intermediate hosts for this parasite is poorly understood. This project aims to explore the phylogeography, biology and genomics of these snails. It expects to create novel molecular resources for important snail species and verify their roles as key vectors of flatworm parasites. The curation of genomic and transcriptomic data sets, and elucidation of snail–parasite interactions will underpin the development of environmental diagnostic tests and deliver a new generation of intervention strategies to reduce the burden of liver fluke disease through the control of their snail intermediate hosts.Read moreRead less
Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statis ....Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statistical methods provide the opportunity to close this gap. The outcome will be identification of many genomic variants causing variation in complex traits. This will benefit scientific understanding of complex traits and the ability to predict traits for individuals from their genome sequence.Read moreRead less
Engineering safer pastures for livestock. This project aims to develop subterranean clover with elevated condensed tannins in leaves. This important pasture legume is currently a bloat risk for cattle and sheep due to low condensed tannins and high soluble proteins. Bloat is a health issue that costs the Australian and New Zealand livestock industries over $200 million per annum. Condensed tannins can reduce bloat, decrease methane production and improve efficiency of production. A novel approac ....Engineering safer pastures for livestock. This project aims to develop subterranean clover with elevated condensed tannins in leaves. This important pasture legume is currently a bloat risk for cattle and sheep due to low condensed tannins and high soluble proteins. Bloat is a health issue that costs the Australian and New Zealand livestock industries over $200 million per annum. Condensed tannins can reduce bloat, decrease methane production and improve efficiency of production. A novel approach using CRISPR and other innovative molecular techniques will generate breeding lines high in condensed tannins and deliver knowledge applicable to other pasture legumes. Expected outcomes for livestock producers include improved animal welfare, reduced carbon emissions and enhanced profits.Read moreRead less
Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is un ....Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is unknown. This is useful for selecting the best parents for breeding in agriculture and for predicting the future phenotype of animals, crops and people. The proposed method uses data on very many traits to identify sequence variants that have a function and to predict the traits affected by each variant.Read moreRead less