Novel genomic technologies to improve fertility in northern beef cattle. This project aims to develop new genomic technologies to enable accelerated improvement of cow fertility. Increased global demand for beef is driving northern Australian beef enterprises to develop innovative ways to increase productivity. A substantial industry challenge is poor fertility of cows, with weaning rates frequently less than 40%. The expected outcomes of this project are an improvement in weaning rates to enabl ....Novel genomic technologies to improve fertility in northern beef cattle. This project aims to develop new genomic technologies to enable accelerated improvement of cow fertility. Increased global demand for beef is driving northern Australian beef enterprises to develop innovative ways to increase productivity. A substantial industry challenge is poor fertility of cows, with weaning rates frequently less than 40%. The expected outcomes of this project are an improvement in weaning rates to enable accelerated genetic gain for fertility in these enterprises by delivering a low cost array, which assays thousands of DNA variants affecting fertility simultaneously. This should provide significant benefits such as a new genomic prediction method informed by gene expression data from a unique resource of Brahman cattle with exceptionally high fertility, generating significant industry benefits.Read moreRead less
Cellular genomic approach to the pathogenesis of multiple sclerosis. This project compares the levels of gene usage in two important immune cell types between patients with multiple sclerosis and people who do not have the disease. It aims to identify the molecular basis for the disease, in order to identify new diagnostic, preventative and treatment options.
Methods to infer dense genomic information from sparsely genotyped populations. Prediction of phenotype based on DNA polymorphisms or sequence has important applications such as prediction of disease risk in human medicine and prediction of genetic value in plant or animal breeding. This project will enhance precision and lower the cost of association studies leading to substantial increase in accuracy of such predictions. This will allow more effective genetic improvement, particularly of diff ....Methods to infer dense genomic information from sparsely genotyped populations. Prediction of phenotype based on DNA polymorphisms or sequence has important applications such as prediction of disease risk in human medicine and prediction of genetic value in plant or animal breeding. This project will enhance precision and lower the cost of association studies leading to substantial increase in accuracy of such predictions. This will allow more effective genetic improvement, particularly of difficult but important traits such as disease resistance, reduced green-house gas emissions and product quality. The same methods can be extended to improve genetic improvement in plants and better prediction of human disease risk. Read moreRead less
Generating a targeted mutation resource in zebrafish. How do genes function to build organisms and how are they regulated to produce organs and tissues? Using a new technique to target specific genes in the genome of zebrafish, this project will determine how genes control formation of different tissues. The new gene "knockout" technology will fundamentally change our understanding of how genes work during development.
Mapping recombination blocks in Brassica. DNA technology provides new ways to study genomes. Understanding how the genome behaves during plant breeding will help design strategies for the breeding and selection of improved crop plants.
Identifying the diversity and evolution of loci associated with adaptation to aridity/heat and salinity in ancient cereal crops. This project will use ancient grains of wheat, barley and rye to find 'lost' genetic diversity at key genes associated with resistance to aridity, salt and disease. This project will make the proteins of key genes, and study their interaction with the environment over time by measuring ions in the grains to reveal the ancient environmental conditions.
Unlocking the genetic and biochemical potential of kangaroo paws. Using cutting-edge gene technology and an interdisciplinary approach, this project aims to uncover the genes responsible for flower colour in the iconic kangaroo paws of Western Australia, and identify the compounds that produce the colours. The project expects to produce the first entire kangaroo paw genome and identify unique genetic variants and biochemicals underlying colour differences. This new knowledge should help horticul ....Unlocking the genetic and biochemical potential of kangaroo paws. Using cutting-edge gene technology and an interdisciplinary approach, this project aims to uncover the genes responsible for flower colour in the iconic kangaroo paws of Western Australia, and identify the compounds that produce the colours. The project expects to produce the first entire kangaroo paw genome and identify unique genetic variants and biochemicals underlying colour differences. This new knowledge should help horticultural programs to more easily breed varieties with desirable and highly marketable new colours, and could assist in conserving these amazing Australian plants.Read moreRead less
Evaluation of Bacillus amyloliquefaciens H57 as a probiotic in livestock using animal nutrition studies and metagenomics. To improve animal production, gene sequencing will unravel how microbial communities in the rumen of sheep and cattle and the gastro intestinal tract of poultry respond to feed quality and probiotic bacteria. The animal nutrition trials will also measure weight gain and feed utilisation efficiency, particularly for nitrogen, protein and energy.
Real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply ....Real-time phylogenetics for food-borne outbreak surveillance. The project aims to introduce, for the first time, real-time evolutionary analysis of agricultural pathogens so that outbreaks affecting crops and the food supply can be managed precisely and rapidly. An expert team will implement a large-scale data analytics framework in user-friendly software that integrates Australian infectious disease genomics data with global data. Underpinning this work are new theory and algorithms that apply Sequential Monte Carlo to update phylogenetic analyses continuously as new data arrives. Expected outcomes include new knowledge of statistical algorithms for evolutionary analysis, relevant to biological disciplines beyond infectious disease; and enhanced capacity for infectious disease analysis. 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