Beyond pineal melatonin: sensing the seasons without the eye. The project will identify the causal connection between seasonal breeding in animals and a recently recognised brain biochemical pathway by applying experimental treatments mimicking seasonal environmental changes in a mutant and wild-type nematode worm model. Through experimentation we will identify useful biological targets that might be manipulated to enhance control of seasonal breeding in managed animals. With better control of r ....Beyond pineal melatonin: sensing the seasons without the eye. The project will identify the causal connection between seasonal breeding in animals and a recently recognised brain biochemical pathway by applying experimental treatments mimicking seasonal environmental changes in a mutant and wild-type nematode worm model. Through experimentation we will identify useful biological targets that might be manipulated to enhance control of seasonal breeding in managed animals. With better control of reproductive output in animals, farmers and managers can increase and/or decrease reproductive output as needed in managed species including livestock and vertebrate pests. This will enhance the use of precious land resources and minimize ecological damage from overbreeding.Read moreRead less
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
HEN1 is a regulator of piRNA metabolism, transcriptional regulation and mammalian male fertility. This project is to define the biochemistry of a previously uncharacterized protein in male fertility using a unique mouse model and innovative DNA and protein technologies. This project will define a novel, and essential, pathway for male fertility and may ultimately have relevance to the maintenance of health or improving fertility.
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
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
Mobile DNA activity in the mammalian primordial germline. Early in pregnancy, a handful of cells in the embryo become primordial germ cells (PGCs). These PGCs will eventually give rise to sperm or egg cells, representing a critical inter-generational genetic link. Mobile DNA sequences target PGCs to create new heritable genetic changes. This proposal aims to analyse the activity, regulation, and consequences of mobile DNA activity in PGCs. This project expects to generate significant knowledge a ....Mobile DNA activity in the mammalian primordial germline. Early in pregnancy, a handful of cells in the embryo become primordial germ cells (PGCs). These PGCs will eventually give rise to sperm or egg cells, representing a critical inter-generational genetic link. Mobile DNA sequences target PGCs to create new heritable genetic changes. This proposal aims to analyse the activity, regulation, and consequences of mobile DNA activity in PGCs. This project expects to generate significant knowledge about the origins of mammalian genetic diversity. Expected outcomes include enhanced national and international collaborations across disciplines and new experimental systems. The expected benefit is an enhanced understanding of the mutational processes underlying genetic diversity and disease in mammals.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.
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
Genome-wide determination of Puccinia psidii s.l. rust resistance in eucalypts. Recently, guava rust was detected in Australia, posing significant risks to native flora, plantations, and timber exports. Scientists from The University of Melbourne and Victorian Department of Primary Industries together with tree breeders, forest growers and forest managers aim to use tree genomics rust resistance breeding to enable management and operational responses and inform policy development.
The evolutionary origin, cellular response and genetic impact of insecticide resistance mutations in agricultural pests. Diamondback moth is a global pest of canola and Brassica vegetables, and populations can rapidly evolve resistance to insecticides. The project will use a combination of genome sequencing, fieldwork and gene expression analysis to identify mutations causing resistance to Bt insecticidal toxins and assess the threat of resistance evolving in Australia.