2016
Decoding the Networks that Set Protein and Amino Acid Composition (Year 3 of 1420-532-5679)
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
(none assigned)
Lead Principal Investigator:
Lila Vodkin, University of Illinois at Urbana-Champaign
Co-Principal Investigators:
Project Code:
1620-532-5679
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Unique Keywords:
#breeding & genetics
Information And Results
Project Deliverables

Year 3 Milestones and activities (FY16)

Activities 1-4 Discover possible transcription factors that regulate amino acid composition and protein levels. Report results in manuscript format. Additional functional tests by Chip-Seq conducted and networks regulated by two additional transcription factors should be revealed and entered into public databases.

Activity 5. Complete data analysis for the series of three developmental stages of seed cotyledon development using the ribosomal profiling approach of Activity 5. Report the data in manuscript format. These data should tell us the level of translational control for the major seed proteins and the pathways for amino acid synthesis. Enter data into public databases.

Activity 6-7. Complete data generation and analysis. Using this knowledge, transgenic approaches will be initiated to test whether candidate transcription factors that are identified can be used to shift protein and amino acid content. Integrate the knowledge for use by breeders in screening germplasm lines.

Final Project Results

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.