Soybean Seed Amino Acid Content QTL Detected Using the Universal Soy Linkage Panel 1.0 with 1,536 SNPs

  • Benjamin D. Fallen Current address: Clemson Pee Dee REC, Advanced Plant Technology Center, 2200 Pocket Road, Florence, SC 29506, USA; University of Tennessee, Department of Plant Sciences, 2431 Joe Johnson Dr., Knoxville, TN 37996, USA.
  • Catherine N. Hatcher Monsanto, 140 W. Industrial Drive, Harrisburg, SD 57032, USA.
  • Fred L. Allen University of Tennessee, Department of Plant Sciences, 2431 Joe Johnson Dr., Knoxville, TN 37996, USA.
  • Dean A. Kopsell University of Tennessee, Department of Plant Sciences, 2431 Joe Johnson Dr., Knoxville, TN 37996, USA.
  • Arnold M. Saxton University of Tennessee, Department of Plant Sciences, 2431 Joe Johnson Dr., Knoxville, TN 37996, USA.
  • Pengyin Chen University of Arkansas, Department of Crop, Soil, and Environmental Sciences, Fayetteville, AR 72701, USA.
  • Stella K. Kantartzi Southern Illinois University, Department of Plant, Soil Science and Agricultural Systems, 1205 Lincoln Drive, Carbondale, IL 62901, USA.
  • Perry B. Cregan Soybean Genomics and Improvement Laboratory, Beltsville Agricultural Research Center – West, USDA, ARS, Beltsville, MD 20705, USA.
  • David L. Hyten Soybean Genomics and Improvement Laboratory, Beltsville Agricultural Research Center – West, USDA, ARS, Beltsville, MD 20705, USA; Current address: DuPont Pioneer, 8305 NW 62nd Ave., PO Box 7060, Johnston, IA 50131-7060, USA.
  • Vincent R. Pantalone University of Tennessee, Department of Plant Sciences, 2431 Joe Johnson Dr., Knoxville, TN 37996, USA.
Keywords: Soybean meal, essential and non-essential amino acids, QTL analysis

Abstract

Soybean [Glycine max (L.) Merr.] is the primary source of meal used in animal feed in the U.S. However, few studies have been conducted to evaluate genomic regions controlling amino acid composition is soybean. Designing soybean seed compositions that will benefit animal production is essential. The objective of this study was to identify genomic regions controlling essential and non-essential amino acid composition in soybean seed proteins. To achieve this objective, 282 F5:9 recombinant inbred lines (RILs) developed from a cross of Essex × Williams 82 were used. Ground soybean seed samples were analyzed for amino acids and statistically significant differences (p < 0.05) were found among genotypes in the population for all amino acid concentrations. The Universal Soy Linkage Panel (USLP) 1.0 of 1,536 single nucleotide polymorphism (SNP) DNA markers were used to genotype the 282 RILs and identify 480 useful genetic markers. The software R/qtl was used to identify candidate quantitative trait loci (QTL), which were validated using R/MQM. A total of ten QTL were detected on chromosomes 5, 7, 9, 10, 13 and 20 that explained 5 to 14% of the total phenotypic variation for a particular amino acid. Using SNPs from the USLP 1.0 to detect QTL for amino acids in soybean provides additional information to select genotypes with enhanced amino acid profiles that will benefit animal production.

Published
2017-06-15
Section
ARTICLES