Location: Plant Genetics Research
Project Number: 5070-21000-045-014-R
Project Type: Reimbursable Cooperative Agreement
Start Date: Jan 1, 2024
End Date: Dec 31, 2024
Objective:
1). Develop and make available consolidated, high-quality, expandable, quality controlled and user-friendly resources of structural and functional genome data.
2). Develop, validate and deploy a suite of multi-disciplinary data analysis and mining strategies and tools.
3). Develop and deploy a new genotyping technology to increase breeding and biological discovery efficiency.
4). Generate and deploy an expandable collection of QTL genes, alleles, germplasm, markers and phenotype prediction model for soybean research and development.
Approach:
Recently, the ARS scientists analyzed genome sequencing data from1500 diverse wild and domesticated soybean accessions generated in my lab and available in the public. The ARS lab has been developing a publicly available, big-data driven technology platform to translate a massive amount of -omics data for soybean research and development. The platform should increase the efficiency of discovering trait genes/candidates and identifying beneficial alleles and germplasm by multiple magnitudes. The proposal will integrate additional public genome and transcriptome sequencing data, and improve our big-data mining approach to discover soybean trait QTL genes and alleles, and develop a functional marker array technology for molecular breeding. The ARS scientists will apply the technology platform to characterize genes and germplasm associated with undesirable seed quality trait.
