Proteome Analysis of Plant Response Pathways to Microbial Signals in the Model Legume, Medicago truncatula. This project will investigate plant responses to soil microbes in the model legume, Medicago truncatula, to provide fundamental information needed to design crops with improved abilities to interact beneficially with soil microbes. Plant development and performance are significantly influenced by soil microbes, but it is largely unknown how the information contained in microbial signalling ....Proteome Analysis of Plant Response Pathways to Microbial Signals in the Model Legume, Medicago truncatula. This project will investigate plant responses to soil microbes in the model legume, Medicago truncatula, to provide fundamental information needed to design crops with improved abilities to interact beneficially with soil microbes. Plant development and performance are significantly influenced by soil microbes, but it is largely unknown how the information contained in microbial signalling molecules is relayed to plants. Proteome analysis and immunocytochemistry will be combined to identify and localise differentially expressed proteins in roots treated with specific microbial signal molecules. Annotated Proteome databases will be generated to strengthen and complement an international project on M. truncatula genome analysis.Read moreRead less
Metabolomic and genetic approaches to the discovery of genes that direct carbon partitioning in plants. Plants make starch, sucrose, cell walls (fibre), oil, organic acids, vitamins and other products of great economic and social importance. The partitioning of carbon resources into such products determines crop productivity and quality. This partitioning is strongly influenced by nutrients, water and salinity. The powerful genomics resources of Arabidopsis including the new discipline of metabo ....Metabolomic and genetic approaches to the discovery of genes that direct carbon partitioning in plants. Plants make starch, sucrose, cell walls (fibre), oil, organic acids, vitamins and other products of great economic and social importance. The partitioning of carbon resources into such products determines crop productivity and quality. This partitioning is strongly influenced by nutrients, water and salinity. The powerful genomics resources of Arabidopsis including the new discipline of metabolomics, will be deployed to understand the regulation of carbon partitioning in leaves and to discover genes that direct partitioning. National research capability will be enhanced and new resources will be generated to breed crops with improved yield potential and product quality under varied environmental conditions.Read moreRead less