Molecular and genetic analysis of epigenetic components in a model plant. Australia is a major exporter of agricultural food crops thus producers must maintain their competitive advantage in order to compete on the world stage. Food crops unfortunately have large, complex genomes that are not sequenced and a generation time of months that makes research outcomes slow to achieve. This project proposes to utilise a model plant that has a small completely sequenced genome and a short generation tim ....Molecular and genetic analysis of epigenetic components in a model plant. Australia is a major exporter of agricultural food crops thus producers must maintain their competitive advantage in order to compete on the world stage. Food crops unfortunately have large, complex genomes that are not sequenced and a generation time of months that makes research outcomes slow to achieve. This project proposes to utilise a model plant that has a small completely sequenced genome and a short generation time making it ideal to study the fundamental biological process of RNA silencing. Discoveries and outcomes from this project may have the potential to benefit Australian crops, ecosystems and human health.Read moreRead less
Discovery of novel microRNA biogenesis and functional components. Discovery of novel microRNA components will provide new strategies for confronting a diverse array of challenges Australia faces, such as the increasing rates of certain cancers in our population, to stresses on our crop plants faced with environmental changes. The biological mechanisms underlying these disparate problems are unified by microRNA involvement in many instances. By finding microRNA controlling factors common to all h ....Discovery of novel microRNA biogenesis and functional components. Discovery of novel microRNA components will provide new strategies for confronting a diverse array of challenges Australia faces, such as the increasing rates of certain cancers in our population, to stresses on our crop plants faced with environmental changes. The biological mechanisms underlying these disparate problems are unified by microRNA involvement in many instances. By finding microRNA controlling factors common to all higher organisms, we expect our community will benefit from the increased knowledge base that will help our researchers adopt new strategies in fighting diseases and improving our agricultural industry.Read moreRead less
Special Research Initiatives - Grant ID: SR0354908
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
The Insect-Plant Chemical Ecology Network (IPCEN). We bring together plant molecular biology, entomology and analytical chemistry to transform three leading fields of Australian research into an advanced science with far reaching capabilities in innovative research and applied outcomes. Expertise studying the biochemical pathways that produce specific plant compounds and expertise in insect recognition and response to these chemicals will be brought together. This will lead to new research outco ....The Insect-Plant Chemical Ecology Network (IPCEN). We bring together plant molecular biology, entomology and analytical chemistry to transform three leading fields of Australian research into an advanced science with far reaching capabilities in innovative research and applied outcomes. Expertise studying the biochemical pathways that produce specific plant compounds and expertise in insect recognition and response to these chemicals will be brought together. This will lead to new research outcomes and solutions to problems in agriculture, horticulture, forestry and protection of Australia's native flora. Researchers are struggling to create these links, constrained by disciplinary boundaries and geographical isolation. Key industries and researchers already support this proposal.Read moreRead less
Functional genomics of light stress resistance in the model organism Chlamydomonas: combining molecular genetics, transcriptome and proteome analysis. This project aims at combining molecular genetics, transcriptome and proteome analysis to identify genes and pathways underlying high light stress tolerance in previously isolated mutants of the chlorophyte Chlamydomonas reinhardtii. Comprehensive profiles of transcriptome-proteome linkage will be constructed without the complications of multicel ....Functional genomics of light stress resistance in the model organism Chlamydomonas: combining molecular genetics, transcriptome and proteome analysis. This project aims at combining molecular genetics, transcriptome and proteome analysis to identify genes and pathways underlying high light stress tolerance in previously isolated mutants of the chlorophyte Chlamydomonas reinhardtii. Comprehensive profiles of transcriptome-proteome linkage will be constructed without the complications of multicellularity for this unicellular photosynthetic model organism. We will establish a public proteome reference database and provide new microarrays and molecular markers beneficial for research in Chlamydomonas. We expect to advance understanding of high light resistance mechanisms so that it will eventually be applicable to improve productivity in crop plants growing under various environmental stress conditions.Read moreRead less
CENTRE for INTEGRATIVE LEGUME RESEARCH. Legumes are essential for environmental sustainability and are important for maintaining human health. The Centre combines innovative genomic approaches to investigate the causal phenotypic links required for regulation of legume growth. The unique coexistence of multiple pluripotent meristems in shoots, roots, flowers and nodules permits the discovery of new paradigms governing legume architecture, reproductive differentiation and root-nodule developmen ....CENTRE for INTEGRATIVE LEGUME RESEARCH. Legumes are essential for environmental sustainability and are important for maintaining human health. The Centre combines innovative genomic approaches to investigate the causal phenotypic links required for regulation of legume growth. The unique coexistence of multiple pluripotent meristems in shoots, roots, flowers and nodules permits the discovery of new paradigms governing legume architecture, reproductive differentiation and root-nodule development. New knowledge of the plant growth processes through mechanistic analysis of organ induction provides the tools to optimise the legume's productivity, quality, and environment adaptation.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0989589
Funder
Australian Research Council
Funding Amount
$550,000.00
Summary
A massively parallel genome analysis facility for the ACT region. Maintaining a healthy environment, supporting a sustainable agriculture industry and providing excellent healthcare are three key requirements for the future of Australia and Australians. Modern biological research has a major role to play in all three areas. The success and application of this research requires a serious investment in the new technologies that enable a systems-wide high throughput approach to biological questions ....A massively parallel genome analysis facility for the ACT region. Maintaining a healthy environment, supporting a sustainable agriculture industry and providing excellent healthcare are three key requirements for the future of Australia and Australians. Modern biological research has a major role to play in all three areas. The success and application of this research requires a serious investment in the new technologies that enable a systems-wide high throughput approach to biological questions. Co-investing in a massively parallel genome analysis facility to underpin cutting edge environmental, agricultural and biomedical research in the ACT region, will facilitate progress in areas of the utmost importance to the community and future of the nation.Read moreRead less
TraitCapture: Genomic modelling for plant phenomics under environmental stress. This project aims to develop software to integrate new hyper-spectral and 3D growth models of plant phenomics with population genomics to identify heritable developmental traits across varied environments. Genome wide association studies aim to then be used to identify causal genes. Functional structural plant models incorporating genetic variation will be used to predict growth under simulated stress environments. ....TraitCapture: Genomic modelling for plant phenomics under environmental stress. This project aims to develop software to integrate new hyper-spectral and 3D growth models of plant phenomics with population genomics to identify heritable developmental traits across varied environments. Genome wide association studies aim to then be used to identify causal genes. Functional structural plant models incorporating genetic variation will be used to predict growth under simulated stress environments. The research team unites international industry, the Australian Plant Phenomics Facility, and university statistical geneticists. TraitCapture software will use open standards applicable to both controlled and field environments enabling plant breeders to pre-select adaptive traits to increase crop productivity under environmental stress.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140101886
Funder
Australian Research Council
Funding Amount
$386,929.00
Summary
Plant microRNA targeting: defining regulatory factors additional to complementarity. Central to our understanding of microRNA biology is the identification of which genes they target. In plants, high complementarity is regarded as the sole determinant, and drives bioinformatic predictions. However, functional evidence is inconsistent with this, arguing that complementarity alone is insufficient to accurately predict targets. This project uses novel applications of next generation sequencing to c ....Plant microRNA targeting: defining regulatory factors additional to complementarity. Central to our understanding of microRNA biology is the identification of which genes they target. In plants, high complementarity is regarded as the sole determinant, and drives bioinformatic predictions. However, functional evidence is inconsistent with this, arguing that complementarity alone is insufficient to accurately predict targets. This project uses novel applications of next generation sequencing to categorise bioinformatically predicted Arabidopsis targets as either strongly or poorly regulated. These categories will be analysed to determine what factors, in addition to complementarity, are required for strong targeting. The outcomes will impact artificial microRNA design and have important implications for biotechnology. Read moreRead less