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
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
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
Who’s who in the plant gene world? As many more plant genomes are sequenced, the bottleneck is being able to interrogate and translate this data into applications for crop improvement. This project will develop and apply a population graph database, hosting genome data for the world’s major crops and their wild relatives, allowing the characterisation of gene diversity on an unparalleled scale. Analysis of this data will reveal the presence/absence and sequence diversity for classes of genes for ....Who’s who in the plant gene world? As many more plant genomes are sequenced, the bottleneck is being able to interrogate and translate this data into applications for crop improvement. This project will develop and apply a population graph database, hosting genome data for the world’s major crops and their wild relatives, allowing the characterisation of gene diversity on an unparalleled scale. Analysis of this data will reveal the presence/absence and sequence diversity for classes of genes for important agronomic traits including disease resistance, flowering time and legume nitrogen fixation which will enable plant breeders to identify and apply novel genes and allelic variants for use in breeding programmes, accelerating the production of improved crop varieties.Read moreRead less
Supporting dynamic multidimensional entrepreneurial resilience in Australia. This project aims to model entrepreneurial resilience, its formation and its influence on how creative transformation occurs, and whether ex ante adaptive capacity is in turn enhanced by having mastered crises. The project proposes a theoretical model to holistically measure resilience across the life course. Using longitudinal data for self-employed individuals in Australia the project analyses the impact of crisis and ....Supporting dynamic multidimensional entrepreneurial resilience in Australia. This project aims to model entrepreneurial resilience, its formation and its influence on how creative transformation occurs, and whether ex ante adaptive capacity is in turn enhanced by having mastered crises. The project proposes a theoretical model to holistically measure resilience across the life course. Using longitudinal data for self-employed individuals in Australia the project analyses the impact of crisis and economic policy on entrepreneur’s behaviour and SMEs entry exit decisions. The project informs policy making through employing discrete choice experiments to elicit entrepreneur’s preferences for government policy and support post crisis. Read moreRead less
Carboxylate exudation and phosphorus acquisition in eucalypts. Eucalypts are thought to rely on mycorrhizas to acquire phosphorus (P). Using leaf manganese concentrations in the field to proxy rhizosphere carboxylates, followed by plant growth in low P-solutions, it was shown that some, but not all eucalypts that grow on P-impoverished soils release carboxylates from their roots. This trait is a strategy of Proteaceae to access soil P, but assumed not to be used by eucalypts. This game-changing ....Carboxylate exudation and phosphorus acquisition in eucalypts. Eucalypts are thought to rely on mycorrhizas to acquire phosphorus (P). Using leaf manganese concentrations in the field to proxy rhizosphere carboxylates, followed by plant growth in low P-solutions, it was shown that some, but not all eucalypts that grow on P-impoverished soils release carboxylates from their roots. This trait is a strategy of Proteaceae to access soil P, but assumed not to be used by eucalypts. This game-changing discovery challenges the current dogma that eucalypts invariably rely on mycorrhizas to acquire P. This project will explore the significance of this newly-described trait for functioning of eucalypts more broadly and produce results that are important for conservation, restoration and forestry activities. Read moreRead less
Glucocorticoid receptor-αD1 modulates stress and inflammation . Environmental stressors in mammalian pregnancy often cause inflammation in the mother which has an adverse effect on the fetus and its survival. The current grant aims to examine the mechanism by which stress and inflammation coexist in pregnancy because stress hormones normally exert anti-inflammatory actions. Contrary to convention, a new glucocorticoid receptor (GR), GRalpha D1, is linked to increasing inflammation. Using innova ....Glucocorticoid receptor-αD1 modulates stress and inflammation . Environmental stressors in mammalian pregnancy often cause inflammation in the mother which has an adverse effect on the fetus and its survival. The current grant aims to examine the mechanism by which stress and inflammation coexist in pregnancy because stress hormones normally exert anti-inflammatory actions. Contrary to convention, a new glucocorticoid receptor (GR), GRalpha D1, is linked to increasing inflammation. Using innovative molecular biology approaches, GRalphaD1's function will be examined to provide a deeper understanding of how stress regulates inflammation in animal reproduction. The project aims to enhance interdisciplinary collaborations with expected benefits including a paradigm shift in our knowledge in this field.Read moreRead less
The genomics of climate adaptation in eucalypts. This project aims to investigate validated, rapid and pragmatic solutions to managing plant and animal maladaptation caused by global environmental change. Using Australia’s iconic blue gum (Eucalyptus globulus), this project will test strategies for identifying the major climatic predictors of, and key genomic regions that underlie, adaptation to climate change. By integrating climate variables and genome sequences with field trial-derived trait ....The genomics of climate adaptation in eucalypts. This project aims to investigate validated, rapid and pragmatic solutions to managing plant and animal maladaptation caused by global environmental change. Using Australia’s iconic blue gum (Eucalyptus globulus), this project will test strategies for identifying the major climatic predictors of, and key genomic regions that underlie, adaptation to climate change. By integrating climate variables and genome sequences with field trial-derived trait and performance data from decades of research and thousands of trees, we will develop validated DNA-based tools for monitoring the rate of adaptation in our native forests and identifying climate-ready seed sources for environmental and industrial plantings.Read moreRead less
Harnessing genetic diversity for complex traits. Genetic diversity underpins crop improvement but has become increasingly narrow in our major crops. Strategies exist for mobilising simple traits (e.g. disease resistance) from wild accessions or landraces into cultivars, but there are no effective approaches for introducing complex traits, including stress tolerance or components of yield. Using barley as an important crop and a genetic model, the project aims to address this problem by applying ....Harnessing genetic diversity for complex traits. Genetic diversity underpins crop improvement but has become increasingly narrow in our major crops. Strategies exist for mobilising simple traits (e.g. disease resistance) from wild accessions or landraces into cultivars, but there are no effective approaches for introducing complex traits, including stress tolerance or components of yield. Using barley as an important crop and a genetic model, the project aims to address this problem by applying a novel approach; partial redomestication of wild accessions by introgressing genes required for modern farming, then evaluating the resulting partially adapted germplasm in hybrids with elite cultivars. The project expects to generate new and diverse germplasm pools for breeding.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