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
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
Illuminating the microbial world using genome-based fluorescence microscopy. Our understanding of microbial diversity on Earth has been fundamentally changed by metagenomic characterisation of natural ecosystems. Traditional approaches for visualising microbial communities are time-consuming and provide limited information about the identity of specific microorganisms. The proposed research aims to combine single cell genomics and super resolution microscopy for novel, high-throughput, genome-b ....Illuminating the microbial world using genome-based fluorescence microscopy. Our understanding of microbial diversity on Earth has been fundamentally changed by metagenomic characterisation of natural ecosystems. Traditional approaches for visualising microbial communities are time-consuming and provide limited information about the identity of specific microorganisms. The proposed research aims to combine single cell genomics and super resolution microscopy for novel, high-throughput, genome-based techniques to visualise microorganisms, plasmids and viruses, with strain level specificity. The application of these highly scalable approaches will provide comprehensive and unprecedented insight into the fine-scale dynamics and evolution of environmentally and biotechnologically important microbial communities.Read moreRead less
Next-generation genomic resources to tackle parasitic diseases of animals. The revolution in genomics provides unprecedented opportunities to tackle destructive parasitic diseases affecting billions of animals worldwide. Through a synergy of leading-edge technologies and a strong partnership with BGI International, this project aims to deliver major conceptual advances in the understanding of parasitism; an unparalleled skills-base in genomics and bioinformatics; innovative new molecular technol ....Next-generation genomic resources to tackle parasitic diseases of animals. The revolution in genomics provides unprecedented opportunities to tackle destructive parasitic diseases affecting billions of animals worldwide. Through a synergy of leading-edge technologies and a strong partnership with BGI International, this project aims to deliver major conceptual advances in the understanding of parasitism; an unparalleled skills-base in genomics and bioinformatics; innovative new molecular technologies; and new treatments and diagnostic tests as biotechnological outcomes. This leap forward in Australia will substantially enhance the global profile of parasitology research, training and employment opportunities for early career scientists, and improve access to international research funding and networks. Read moreRead less
Fine-scale resolution of genomes in natural microbial communities. This project aims to develop advanced molecular and statistical techniques to precisely resolve the genomes of microbes in the environment. Microbes inhabit every niche on the planet and are fundamental to human and animal health, agriculture, and the environment. The proposed technology will advance our understanding of environmental microbes, leading to advances in areas like climate science and biosecurity where microbes play ....Fine-scale resolution of genomes in natural microbial communities. This project aims to develop advanced molecular and statistical techniques to precisely resolve the genomes of microbes in the environment. Microbes inhabit every niche on the planet and are fundamental to human and animal health, agriculture, and the environment. The proposed technology will advance our understanding of environmental microbes, leading to advances in areas like climate science and biosecurity where microbes play a key role. It will also support the development of billion dollar industries focused on the use of beneficial microbes in agriculture, plant, animal, and human health.Read moreRead less
Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising ap ....Searching for near-exact protein models. This project aims to develop novel and efficient heuristic-based algorithms leading to near accurate protein tertiary structure models. Knowledge about protein structures is fundamental to our understanding of living systems. The progress on experimental determination of these structures has been extremely limited and remains an open challenge in molecular biology. Computational prediction of protein structures from sequences is emerging as a promising approach, but its accuracy is far from satisfactory. The software systems developed in this project will be used in structural identification of target proteins in drug design. This will make drug design process more efficient, saving time and cost, potentially saving lives.Read moreRead less