Increasing amphibian immunity to combat disease causing mass extinction. This project aims to increase amphibian survival to combat the devastating chytrid fungus by identifying resistance genes and increasing their frequency in the host population. The project is interdisciplinary and uses targeted genetic manipulation techniques developed for agriculture to improve disease resistance in wildlife for the first time. Expected outcomes include 1) enhanced international collaborations in comparati ....Increasing amphibian immunity to combat disease causing mass extinction. This project aims to increase amphibian survival to combat the devastating chytrid fungus by identifying resistance genes and increasing their frequency in the host population. The project is interdisciplinary and uses targeted genetic manipulation techniques developed for agriculture to improve disease resistance in wildlife for the first time. Expected outcomes include 1) enhanced international collaborations in comparative immunology, 2) a comprehensive understanding of immunity to chytridiomycosis, and 3) disease resistant amphibians. The anticipated benefit is ability to apply the optimal method to improve conservation of wildlife threatened by emerging disease, such as marker assisted selective breeding or genetic engineering.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
Targeting TGF-beta proteins to control animal reproduction. This project aims to develop a suite of novel biologics to control fertility in female mammals. This project expects to demonstrate that targeting a single class of ovarian proteins will enhance or inhibit egg production. The expected outcomes of this project are to (1) transform the breeding of livestock animals, which should provide significant benefits to the agricultural industry, through increased herd/flock sizes, and (2) provide ....Targeting TGF-beta proteins to control animal reproduction. This project aims to develop a suite of novel biologics to control fertility in female mammals. This project expects to demonstrate that targeting a single class of ovarian proteins will enhance or inhibit egg production. The expected outcomes of this project are to (1) transform the breeding of livestock animals, which should provide significant benefits to the agricultural industry, through increased herd/flock sizes, and (2) provide a non-surgical method of contraception in companion/feral species, which should address the large unmet need for fertility control in these animals.
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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
Proteomic and genetic analysis of subfertile bull spermatozoa. This project aims to identify protein changes on spermatozoa that are highly correlated with the fertility status of bulls. Bull fertility has approached an all-time low as breeding practice has focused predominately on milk production and beef tenderness. This project aims to understand the genetic causes that underpin bull and cattle infertility, and investigate better methods to predict the fertility status of bulls. This project ....Proteomic and genetic analysis of subfertile bull spermatozoa. This project aims to identify protein changes on spermatozoa that are highly correlated with the fertility status of bulls. Bull fertility has approached an all-time low as breeding practice has focused predominately on milk production and beef tenderness. This project aims to understand the genetic causes that underpin bull and cattle infertility, and investigate better methods to predict the fertility status of bulls. This project expects to contribute to better clinical management of cattle. This information can then be used for the development of a better diagnostic assay for both the dairy and beef industry.Read moreRead less
Breeding super black soldier flies at scale for sustainable food production. This project aims to address the current challenges impeding the industrial scale-up of Australian Black Soldier Fly (BSF) farming across diverse feed waste substrates by generating critical on-farm knowledge. This project expects to generate fundamental knowledge in commercial BSF breeding designs whilst also developing and testing new animal evaluation technologies (ie, genetic & spectroscopy) through interdisciplinar ....Breeding super black soldier flies at scale for sustainable food production. This project aims to address the current challenges impeding the industrial scale-up of Australian Black Soldier Fly (BSF) farming across diverse feed waste substrates by generating critical on-farm knowledge. This project expects to generate fundamental knowledge in commercial BSF breeding designs whilst also developing and testing new animal evaluation technologies (ie, genetic & spectroscopy) through interdisciplinary approaches that will accelerate industry productivity. Expected outcomes of this project include the long-term growth and competitive advantage of the Australian insect farming industry, as well as promoting the benefits of a circular economy through bioconversion of organic waste into commercially viable products.Read moreRead less
Maximizing male fertility: the role of CRISP proteins. This project aims to investigate the function of cysteine rich secretory protein (CRISP) family members in fertility. It is expected to generate new knowledge on the role CRISP1 and 4 play in sperm competition in vivo, and thus, evolutionary processes; to define the role seminal plasma CRISPs play in fertility; and identify the mechanism underpinning their biological activities. This will be achieved using a range of innovative, state-of-the ....Maximizing male fertility: the role of CRISP proteins. This project aims to investigate the function of cysteine rich secretory protein (CRISP) family members in fertility. It is expected to generate new knowledge on the role CRISP1 and 4 play in sperm competition in vivo, and thus, evolutionary processes; to define the role seminal plasma CRISPs play in fertility; and identify the mechanism underpinning their biological activities. This will be achieved using a range of innovative, state-of-the-art approaches. Expected outcomes and benefits include an enhanced knowledge of the mechanisms underpinning fertility and infertility, enhanced collaboration and research knowhow, and an evidence base for future applied projects aimed enhancing fertility in agricultural species.Read moreRead less