Location: Plant Genetics Research
Project Number: 3622-21000-036-00
Start Date: Mar 26, 2013
End Date: Mar 25, 2018
Develop an interactive, knowledge-based quantitative systems description of soybean seed development using computational analyses of data from targeted-proteomic analyses, transcript profiling, metabolomic profiling, and ionomic studies. To utilize the systems model to determining the step(s) that are limiting oil production and accumulation, and provide a basis for increasing oil levels without decreasing proteins levels, as well as decreasing levels of anti-nutritional compounds and increasing protein quality. The model will also provide insight into the system response to perturbation. This will help with the design of potential changes that will likely require a coordinated multi-level approach. To improve the nutritional quality of soybean seed meal. A two-pronged approach, including metabolic engineering of S assimilatory pathway genes plus expression of genes encoding S-rich proteins will be used to design soybean with elevated S amino acid content. Additionally, elimination of Kunitz trypsin inhibitor (KTI), an anti-nutritional component of soybean meal, will be accomplished using a RNA interference (RNAi) approach. To develop soybean germplasm with improved oil and meal quality traits a combination of reverse-genetics, forward genetics, genomics, and breeding, will be employed. The main focus is on development of reverse genetic resources for improving oil and meal quality by discovery of candidates for modification of oil quality including alleles, from both induced and natural sources, encoding proteins involved in FA biosynthesis, TAG biosynthesis, and TAG packaging/storage in oil bodies. To develop and characterize value-added soybean germplasm with improved seed quality and enhanced germination efficiency will be approached by screening plant introduction lines with tolerance to supra-optimal temperatures during seed development and used to determine the underlying genetic bases. Similarly, lines with enhanced germination at sub-optimal soil temperatures will be identified by screening of germplasm resources. Sexual crosses to high yielding commercial cultivars and seed compositional alterations will be performed and analysis of the resulting populations will be used to map and evaluate the ability of these traits to compensate for abiotic stress-sensitivity.