Commensal benefits: genomic basis for suppressing plant pathogens with Pseudomonas biocontrol species. Food security is an issue of mounting significance due to unpredictable climate trends and increasing global population growth. A feature of paramount importance to reliable crop production is the capacity to control plant diseases. This project investigates natural plant colonising bacteria as a tool for protecting plants from disease.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100130
Funder
Australian Research Council
Funding Amount
$850,000.00
Summary
Systems biology: New generation DNA sequencing to functional analysis. The technique of DNA sequencing (or 'reading' the lines of the four repeating letters that make up the genetic code) illustrates how technological developments have become the main drivers in exploring the roles of genetic factors across a spectrum of research activities. Funding provided through this ARC grant will allow the purchase of the latest DNA sequencing platform, the Illumina Solexa, as well as equipment that will b ....Systems biology: New generation DNA sequencing to functional analysis. The technique of DNA sequencing (or 'reading' the lines of the four repeating letters that make up the genetic code) illustrates how technological developments have become the main drivers in exploring the roles of genetic factors across a spectrum of research activities. Funding provided through this ARC grant will allow the purchase of the latest DNA sequencing platform, the Illumina Solexa, as well as equipment that will be used to understand the biological function of the DNA sequencing results that are obtained. The equipment will allow Australian researchers to compete on an equal footing with the international leaders in understanding the roles played by genes in plants, microorganisms, animals and humans.Read moreRead less
Lifestyle choices: genomic analysis of niche adaptations in marine Synechococcus. Photosynthetic marine bacteria are very important in the global carbon cycle. This project aims to discover how these bacteria adapt to survive in different marine environments. This is important for understanding how they will be affected by climate change and other environmental alterations.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100038
Funder
Australian Research Council
Funding Amount
$654,000.00
Summary
Single cell genomics. This facility will allow us to discover the complete DNA sequence of an organism from as little material as a single cell. This equipment will allow Australian researchers to compete on an equal footing with international leaders in understanding the roles of genes in plants, bacteria, animals and humans.
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
Expanding and resolving the earliest modern human divergence through DNA. This project aims to expand and resolve the earliest modern human divergence. Although it is clear modern humans emerged from Africa, there is no consensus on the timeline of modern human evolution. Archaeological evidence suggests two contenders: east and southern Africa. Genetic data supports the latter; the team’s own data shows that the southern African KhoeSan click-speaking forager peoples have the oldest extant huma ....Expanding and resolving the earliest modern human divergence through DNA. This project aims to expand and resolve the earliest modern human divergence. Although it is clear modern humans emerged from Africa, there is no consensus on the timeline of modern human evolution. Archaeological evidence suggests two contenders: east and southern Africa. Genetic data supports the latter; the team’s own data shows that the southern African KhoeSan click-speaking forager peoples have the oldest extant human lineages. This project will generate large mitochondrial genome and whole genome sequence data for KhoeSan lineages. This is expected to narrow the time of modern human emergence.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100614
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Novel statistical algorithms and methods to quantify and partition pleiotropy between complex traits in populations. A fundamental question in biology is how common genetic effects are shared between traits or groups. For example, is cognition or human behaviour genetically identical across genders or across human population groups? This project will address these questions using multiple independent genome-wide association studies.
To eat or not to eat? How symbiotic bacteria manipulate the phagocytic behaviour of their eukaryotic host. Bacteria often live in close association with eukaryotic cells, ranging from simple amoeba to humans. This project will identify key factors that control their interactions and will yield important information on the evolution of beneficial or harmful relationships.
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