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

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.

Seed Inorganic Phosphorus Stability and Agronomic Performance of Two Low‐Phytate Soybean Lines Evaluated across Six Southeastern US Environments

“…Stability of Pi content was calculated using ANOVA and least square means estimation, similar to the procedure described by Fallen et al (2013) and by Mellinger (2012). To estimate the stability of Pi content across locations, the REG procedure was used in SAS 9.3.…”

“…Stability of Pi content was calculated using ANOVA and least square means estimation, similar to the procedure described by Fallen et al (2013) and by Mellinger (2012). To estimate the stability of Pi content across locations, the REG significant differences between the LP lines and the USDA checks for seed yield, lodging, height, field emergence, plant maturity, and seed weight; (ii) to compare the seed quality traits of 56CX-1273 and 56CX-1283 to cultivars Osage and 5002T by testing the null hypothesis of no significant differences between the LP lines and the USDA checks for seed protein, oil, meal protein, seed amino acid levels, and seed fatty acid components; and (iii) to evaluate the environmental stability of the LP trait in LP lines 56CX-1273 and 56CX-1283 when grown in six southern US environments of the 2013 United Soybean Board (USB) MG V Quality Traits Test.…”

“…Near-infrared reflectance analysis of the ground meal samples was also used to quantify the five essential amino acids critical to the poultry and swine livestock sector (methionine, cysteine, lysine, threonine, and tryptophan) for each genotype. The quantified levels of amino acids (cysteine, lysine, methionine, threonine, and tryptophan) were converted to units of grams of amino acid per kilogram of crude protein (Fallen et al, 2013).…”

Improving Seed Quality of Soybean Suitable for Growing in Europe

“…Almost 20 years ago, the economic benefit of improved essential amino acid content was estimated to be ~$5 per ton per 10% increase of any of the above-mentioned amino acids [105], and today the benefit could be even bigger. The knowledge of the molecular mechanism of amino acid biosynthesis in soybean was mainly limited to genetic mapping [106,107], but recent studies have enhanced our understating of amino acid genetic architecture in soybean. For example, Vaughn et al [108] conducted GWAS for methionine, threonine, cysteine and lysine and identified multiple loci associated with multiple amino acids across different populations not reported previously.…”

Soybean Amino Acids in Health, Genetics, and Evaluation

“…Molecular breeding techniques have recently improved the understanding of amino acid genomic regulation. Multiple quantitative trait loci (QTL) studies have been performed to identify genomic regions that control amino acids levels in soybean seed [60][61][62][63][64]. A myriad of QTL's were found to create amino acid phenotypic variation.…”