Discovery Early Career Researcher Award - Grant ID: DE190100116
Funder
Australian Research Council
Funding Amount
$415,737.00
Summary
Cell types and cell states revealed by single-cell regulatory networks. This project aims to use single-cell gene regulation networks to predict cell types. Computational approaches are needed to recapitulate how the over 37 trillion cells program the shared genome sequence in a human body to create astoundingly diverse forms and functions. This project integrates millions of high-resolution single-cell gene expression profiles with large-scale population regulatory data to systematically recons ....Cell types and cell states revealed by single-cell regulatory networks. This project aims to use single-cell gene regulation networks to predict cell types. Computational approaches are needed to recapitulate how the over 37 trillion cells program the shared genome sequence in a human body to create astoundingly diverse forms and functions. This project integrates millions of high-resolution single-cell gene expression profiles with large-scale population regulatory data to systematically reconstruct gene regulatory networks. These networks are the molecular basis for understanding human cells. This projects outcomes intend to include the first reference single-cell regulatory database and novel methods and software to predict individual cells. This project will contribute to advancing Australia's capabilities in single-cell, precision medicine, and big biological data analysis leading to significant scientific, societal and commercial benefits.Read moreRead less
Decoding miRNA regulated genetic circuits. This project will aim to develop a much better understanding of how the process of making proteins from genes is regulated, and will develop scientific software capable of predicting how a cell will respond to changes in this regulation. The results will have widespread use, including assistance in deciding the best treatments for genetic diseases.
Preparing Australia For Genomic Medicine: A Proposal By The Australian Genomics Health Alliance
Funder
National Health and Medical Research Council
Funding Amount
$25,000,000.00
Summary
The sequencing of the human genome brings the possibility of more accurate identification of the underlying basis of many diseases. This technology has moved so rapidly, however, that clinical access has been limited. In this application, a national alliance of clinicians, researchers, health economists and policymakers will evaluate the case for clinical genomics across inherited disease and cancer, determine how best to deliver this to the patient and train a capable workforce.
Sequencing and assembling microbial community metagenomes in real-time. This project aims to assemble metagenomes directly from environmental samples using nanopore sequencing. Short-read approaches to metagenomics cannot assemble mixed genomes from an environmental sample, so focus on describing which species and genes are present. Long-read nanopore sequencing enables the assembly of full genomes of multiple species in a sample. Assembling complete genomes in important resources such as water ....Sequencing and assembling microbial community metagenomes in real-time. This project aims to assemble metagenomes directly from environmental samples using nanopore sequencing. Short-read approaches to metagenomics cannot assemble mixed genomes from an environmental sample, so focus on describing which species and genes are present. Long-read nanopore sequencing enables the assembly of full genomes of multiple species in a sample. Assembling complete genomes in important resources such as water and soil should lead to deeper understanding of the dynamics, variation and transfer of genetic material within these resources’ microbial communities, strategies to manage microbial diversity, and improved productivity and long-term sustainability for these resources.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150101117
Funder
Australian Research Council
Funding Amount
$327,000.00
Summary
The functional impact of new genes acquired through retrotransposition. Novel copies of genes often arise through retrotransposition of processed messenger RNAs. Many thousands of gene copies have arisen over evolutionary time and some of these have retained functionality while diverging from the parental gene leading to new paralogs under different regulatory regimes. Through analysis of whole-genome sequence data, we are now able to identify very recent gene copies that are not present in the ....The functional impact of new genes acquired through retrotransposition. Novel copies of genes often arise through retrotransposition of processed messenger RNAs. Many thousands of gene copies have arisen over evolutionary time and some of these have retained functionality while diverging from the parental gene leading to new paralogs under different regulatory regimes. Through analysis of whole-genome sequence data, we are now able to identify very recent gene copies that are not present in the reference genomes for various species, giving us the opportunity to explore the effects of new copies on the regulation of the original gene and the surrounding genomic environment into which the new copy is inserted. This project aims to address these important open questions through computational and biochemical approaches.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100008
Funder
Australian Research Council
Funding Amount
$387,103.00
Summary
Exploring the evolution and ecology of non-photosynthetic Cyanobacteria. This project aims to contribute and expand our rudimentary understanding of non-photosynthetic Cyanobacteria by obtaining representative genome sequences using metagenomics. The dogma that all Cyanobacteria are photosynthetic has recently been challenged by the discovery of non-photosynthetic lineages. This project expects to obtain representative genome sequences using metagenomics to predict surface structures. The expect ....Exploring the evolution and ecology of non-photosynthetic Cyanobacteria. This project aims to contribute and expand our rudimentary understanding of non-photosynthetic Cyanobacteria by obtaining representative genome sequences using metagenomics. The dogma that all Cyanobacteria are photosynthetic has recently been challenged by the discovery of non-photosynthetic lineages. This project expects to obtain representative genome sequences using metagenomics to predict surface structures. The expected outcomes from this project includes providing insights into the function and evolution of non-photosynthetic Cyanobacteria and their viruses, and pure or enriched cultures to enable future studies.Read moreRead less
The adaptive evolution of key methane-utilising microorganisms. This project aims to characterise the evolutionary adaptations of a group of microorganisms with a key role in mitigating the release of methane into the atmosphere. Innovative molecular and visualisation-based approaches will be applied to uncover their metabolic diversity and evolutionary history. An important outcome of this study will be the comprehensive understanding of the contribution and impact these microorganisms have on ....The adaptive evolution of key methane-utilising microorganisms. This project aims to characterise the evolutionary adaptations of a group of microorganisms with a key role in mitigating the release of methane into the atmosphere. Innovative molecular and visualisation-based approaches will be applied to uncover their metabolic diversity and evolutionary history. An important outcome of this study will be the comprehensive understanding of the contribution and impact these microorganisms have on the global carbon cycle, which will importantly inform accurate climate change models. This has clear benefits for society, given the precision of such models is essential in our ability to minimise the impact and associated cost of global warming.Read moreRead less
Uncovering new microbial players and processes in the global methane cycle. This project aims to utilise multiple analytical strategies (including metagenomics and metatranscriptomics) to substantially expand our understanding of the key microorganisms, metabolic strategies, and interspecies relationships involved in the formation and consumption of methane. The global methane cycle is controlled by microorganisms that produce and consume this important greenhouse gas, however it is now recognis ....Uncovering new microbial players and processes in the global methane cycle. This project aims to utilise multiple analytical strategies (including metagenomics and metatranscriptomics) to substantially expand our understanding of the key microorganisms, metabolic strategies, and interspecies relationships involved in the formation and consumption of methane. The global methane cycle is controlled by microorganisms that produce and consume this important greenhouse gas, however it is now recognised that there are many as-yet undiscovered methane-metabolising microorganisms in the environment. The project will lead to a greater understanding of the contribution of these novel microorganisms to global carbon cycling and their links to climate change. This will directly benefit modelling efforts to understand future climate change scenarios.Read moreRead less
Using population resequencing data to investigate the evolutionary role and functional impact of inversion polymorphisms. The project will use population re-sequencing data to generate high resolution haplotype maps of inversion polymorphisms in multiple human populations comprising more than 5,000 individuals. These maps will be used to impute inversion polymorphsisms in genotyped samples of more than 100,000 individuals, facilitated by development of novel algorithms for mapping inversion poly ....Using population resequencing data to investigate the evolutionary role and functional impact of inversion polymorphisms. The project will use population re-sequencing data to generate high resolution haplotype maps of inversion polymorphisms in multiple human populations comprising more than 5,000 individuals. These maps will be used to impute inversion polymorphsisms in genotyped samples of more than 100,000 individuals, facilitated by development of novel algorithms for mapping inversion polymorphism from population sequence data. Finally, the project will use this map to assess the functional impact and evolutionary role of inversions, by assessing their effect on quantitative traits and assessing measures of selection and population differentiation. 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.