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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
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
Rapid evolution via genetic novelty in an invasive social insect. This project aims to determine how introduced Asian honey bee populations in Australia and the Pacific managed to overcome severe genetic bottlenecks to become invasive pests. The project will use advanced molecular techniques to understand rapid evolution at a focal gene that determines fitness in these populations, and to see evolution in action across the genome using a twelve-year timeline of samples. The outcome will be an en ....Rapid evolution via genetic novelty in an invasive social insect. This project aims to determine how introduced Asian honey bee populations in Australia and the Pacific managed to overcome severe genetic bottlenecks to become invasive pests. The project will use advanced molecular techniques to understand rapid evolution at a focal gene that determines fitness in these populations, and to see evolution in action across the genome using a twelve-year timeline of samples. The outcome will be an enhanced capacity to manage new outbreaks of invasive social insects of all kinds via a better understanding of how invasions establish and spread. This should provide significant benefits in the form of protecting Australian agriculture and pollination services from social insect pests.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
Evolution, selection and estimation of polygenic epistatic networks in quantitative traits. Traits observed in organisms, such as height, are the result of an individual's genes and how they relate to the environment. But genes do not act alone; they work together in complex interactions. This project aims to understand these interactions and their role in animal production and human disease.
From the pouch to the grave: age and sex related changes in immunity in the Tasmanian devil. Tasmanian devils face extinction in the wild due to the emergence of a contagious cancer: Devil Facial Tumour Disease (DFTD). A comprehensive understanding of the devil immune system is necessary to better understand the disease and develop a vaccine against it. This project will characterise immune responses of healthy devils throughout life, from the pouch, to onset of puberty, to old age. This project ....From the pouch to the grave: age and sex related changes in immunity in the Tasmanian devil. Tasmanian devils face extinction in the wild due to the emergence of a contagious cancer: Devil Facial Tumour Disease (DFTD). A comprehensive understanding of the devil immune system is necessary to better understand the disease and develop a vaccine against it. This project will characterise immune responses of healthy devils throughout life, from the pouch, to onset of puberty, to old age. This project will then compare these responses in DFTD-affected devils to determine why DFTD affects older animals first and does not affect sexually-immature devils. Additional outcomes will include the development of novel antibiotics against human and animal diseases and an atlas of devil development using the latest imaging technologies.Read moreRead less
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
The Origin and Evolution of the Animal Phyla inferred from Analysis of Multiple-Gene Data. Australia has recently begun an extensive research programme in the genomics of our flora and fauna. The enormous amounts of data that emerge from such research are highly complex, but they hold the key to understanding how biological organisms change over time. Our research will untangle that data to answer fundamental, unanswered questions in modern science: How did the animal groups originate? How are ....The Origin and Evolution of the Animal Phyla inferred from Analysis of Multiple-Gene Data. Australia has recently begun an extensive research programme in the genomics of our flora and fauna. The enormous amounts of data that emerge from such research are highly complex, but they hold the key to understanding how biological organisms change over time. Our research will untangle that data to answer fundamental, unanswered questions in modern science: How did the animal groups originate? How are they related to each other? How is biodiversity changing? The answers to these questions and the new analytical tools we will develop will put Australia firmly on the international "map" of Bioinformatics.Read moreRead less
The Cape honey bee and the origins of virgin birth. Using honeybees, the aim is to show how a mutation in a single gene creates a new species. This gene causes a shift from sexual to asexual reproduction, allowing workers to clone themselves (virgin birth), thus turning a formerly cooperative species into a social cancer. Observing a real-time speciation event driven by a single gene is an incredibly rare opportunity and enables this project to determine the socio-genetic mechanisms that reduce ....The Cape honey bee and the origins of virgin birth. Using honeybees, the aim is to show how a mutation in a single gene creates a new species. This gene causes a shift from sexual to asexual reproduction, allowing workers to clone themselves (virgin birth), thus turning a formerly cooperative species into a social cancer. Observing a real-time speciation event driven by a single gene is an incredibly rare opportunity and enables this project to determine the socio-genetic mechanisms that reduce gene flow between neighbouring populations and to explain how expression of the gene is regulated. Further, because clonal reproduction often leads to invasiveness in social insects - a dangerous outcome - understanding the origins of virgin birth is also critical to understanding invasiveness.Read moreRead less
Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, populat ....Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, population samples or from different populations (e.g. multi-ethnicities or multi-breeds). The expected outcome is to better understand the dynamic architecture of complex traits and develop methods with improved power, precision and accuracy in genomic analyses.Read moreRead less