2018
GWAS to Genes: A system to utilize association analyses to clone genes and develop markers to improve soybean breeding for variety development
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Contributor/Checkoff:
Missouri Soybean Merchandising Council
Category:
Sustainable Production
Keywords:
GeneticsGenomics
Parent Project:
GWAS to Genes: A system to utilize association analyses to clone genes and develop markers to improve soybean breeding for germplasm and variety development
Lead Principal Investigator:
Kristin Bilyeu, USDA-ARS
Co-Principal Investigators:
Trupti Joshi, University of Missouri
Dong Xu, University of Missouri
+1 More
Project Code:
385
Contributing Organization (Checkoff):
Missouri Soybean Merchandising Council
$37,628
Institution Funded:
University of Missouri
$37,628
Brief Project Summary:

This research is designed to enhance bioinformatics tools and systems to enable broad and efficient identification of soybean genes that control important phenotypes. The strategy is a proof of concept approach using a validated data set of cloned genes to test different methods for providing gene information that can immediately be used to develop soybean varieties. The computer science team is working closely with the molecular biology team to determine the desired outcomes for modifying an existing decision tool or building a new tool. This project is focusing on mining data to characterize genes that control plant traits and use that information to develop molecular markers to make...

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

Final Project Results

Updated April 29, 2020:

View uploaded report Word file

This project led to the development of a research pipeline and online tools to enable researchers and breeders to identify key alleles that control important soybean traits.

We designed and verified a strategy and developed bioinformatics tools to enable generalized “cloned” gene identification that can be immediately utilized in soybean germplasm and variety development programs. Identifying the genes that control key phenotypes leads to the development of molecular marker resources that allow perfect selection for the trait, a critical feature of the most effective soybean breeding programs.

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.