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Integrating Genetics and Genomics to Advance Soybean Research

High Impact Research for Soybean Improvement Using Genetics and Genomics

Graham, M. et al.

Iowa State University, Ames, IA
USB Grant#
  • Increase soybean grower profits by improving the yield potental of soybean varieties.
  • Detect "breeder signatures" using DNA sequences of land races and varieties that represent "milestone" achievements in yield potential.
  • Make the data publicly available for use by the soybean community.

The CNV data were derived from 79 lines of soybean next-generation sequencing data for selected plant introductions and milestone cultivars. SNP data were derived from these 79 lines along with the 41 parents of the SoyNAM project (data provided by Dr. Perry Cregan (USDA-ARS) and the Soybean NAM project). For this project twenty seeds from each line were acquired from USDA Soybean Germplasm Collection and planted in the USDA greenhouse at Iowa State University. Once plants reached the trifoliolate stage, leaves from up to 10 plants were pooled and genomic DNA was extracted. DNA was sent to Hudson Alpha Institute for Biotechnology for next-generation sequencing. In addition, replicated field trials were conducted on a subset of lines (30 of the 79 lines, plus ancestral varieties that were not sequenced) to measure protein, oil, yield, and other characteristics under standard growth conditions, to dissociate the effect of on-farm improvements from genetic gain. Additional details for each of the data types are available in the Methodology tab in the respective visualization tools.

Visualizing Project Data
CNV Viewer
SNP Viewer
Strain Pedigree Viewer

     In preparation

Funded by the USDA-ARS. Developed by the USDA-ARS SoyBase and Legume Clade Database group at the Iowa State University, Ames, IA
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