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.
Developing bioinformatics methods for single cell transcriptomics. This project aims to develop novel bioinformatics methods for single cell transcriptomic data that seek to model variability in cell populations. The project expects to generate new approaches using Bayesian statistics that will act as high-end enablers of discovery in transcriptional regulatory processes. Through an interdisciplinary combination of experimental and computational research, insights into fundamental biological pro ....Developing bioinformatics methods for single cell transcriptomics. This project aims to develop novel bioinformatics methods for single cell transcriptomic data that seek to model variability in cell populations. The project expects to generate new approaches using Bayesian statistics that will act as high-end enablers of discovery in transcriptional regulatory processes. Through an interdisciplinary combination of experimental and computational research, insights into fundamental biological processes will be elucidated, specifically the robustness of cellular systems. Expected outcomes include a suite of novel tools that will push the boundaries of current bioinformatics solutions with potential to deliver significant benefits to every domain of biological science, particularly tissue engineering and synthetic biology.Read moreRead less
Understanding prokaryotic small proteins from context. Prokaryotic small proteins are increasingly recognised to play important biological roles but have been largely overlooked due to the lack of adequate tools to study them. This project aims to develop new methods to identify and predict the functions of small proteins from microbial communities by studying sequence patterns in their genomes. These predicted functions will be confirmed in the laboratory, leading to a catalogue of newly charac ....Understanding prokaryotic small proteins from context. Prokaryotic small proteins are increasingly recognised to play important biological roles but have been largely overlooked due to the lack of adequate tools to study them. This project aims to develop new methods to identify and predict the functions of small proteins from microbial communities by studying sequence patterns in their genomes. These predicted functions will be confirmed in the laboratory, leading to a catalogue of newly characterised small proteins from a diverse range of habitats and geographies. By creating new ways to study the role of small proteins in the global microbiome, we will provide the foundational knowledge required to leverage these proteins for use in biotechnology. 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
Early Career Industry Fellowships - Grant ID: IE230100263
Funder
Australian Research Council
Funding Amount
$477,037.00
Summary
Improve genomic testing tools for fertility traits in beef cattle. Fertility is a key driver of productivity and profitability for beef industry; however, a substantial industry challenge is poor fertility and the difficulty and expense of measuring fertility in remote Australia. By integrating multiple omics datasets and fifty thousand fertility phenotypes recorded on beef cattle, the project will identify sequence variation, including structural variants, that underpin genetic variation in cat ....Improve genomic testing tools for fertility traits in beef cattle. Fertility is a key driver of productivity and profitability for beef industry; however, a substantial industry challenge is poor fertility and the difficulty and expense of measuring fertility in remote Australia. By integrating multiple omics datasets and fifty thousand fertility phenotypes recorded on beef cattle, the project will identify sequence variation, including structural variants, that underpin genetic variation in cattle fertility. Our industry partner, which genotypes hundreds of thousands of cattle a year, will produce new genotype arrays and novel low-cost sequencing approaches including these variants, enabling selection that could potentially increase herd reproductive rate by 4%, returning $40M per annum to the farmers.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
Dynamic DNA structure states and memory formation. Activity-induced gene expression is central to neural plasticity, learning, and memory; however, the underlying mechanisms of these processes in the brain have yet to be fully resolved. The aim of this proposal is to obtain a deeper understanding of the functional relationship between genes and brain function. By elucidating the full repertoire of epigenetic mechanisms in the brain during learning and the formation of memory, it is hoped that t .... Dynamic DNA structure states and memory formation. Activity-induced gene expression is central to neural plasticity, learning, and memory; however, the underlying mechanisms of these processes in the brain have yet to be fully resolved. The aim of this proposal is to obtain a deeper understanding of the functional relationship between genes and brain function. By elucidating the full repertoire of epigenetic mechanisms in the brain during learning and the formation of memory, it is hoped that the true nature of brain adaptation across the lifespan will be revealed. Findings which may then provide new opportunities to strengthen, maintain and optimise cognitive function.Read moreRead less
Statistical Methods for Next Generation Genome-Wide Association Studies. This project aims to develop cutting-edge statistical methods to analyse large genomic datasets and identify genetic variants associated with inter-individual differences in various human traits. Knowledge of trait-associated DNA variants is instrumental in understanding how natural selection has shaped human traits. By integrating genomic data from diverse and underrepresented populations, this project further expects to c ....Statistical Methods for Next Generation Genome-Wide Association Studies. This project aims to develop cutting-edge statistical methods to analyse large genomic datasets and identify genetic variants associated with inter-individual differences in various human traits. Knowledge of trait-associated DNA variants is instrumental in understanding how natural selection has shaped human traits. By integrating genomic data from diverse and underrepresented populations, this project further expects to contribute to the equitable use of genomic technologies in humans, regardless of geographical origins. Expected outcomes of this research include novel analysis methods and software tools, which should broadly and significantly benefit gene discovery in other species, including those of agricultural relevance.Read moreRead less