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

Fallen, Benjamin; Hatcher, Catherine N.; Allen, Fred L.; Kopsell, Dean A.; Saxton, Arnold M.; Chen, Pengyin; Kantartzi, Stella K.; Cregan, Perry B.; Hyten, David L.; Pantalone, Vincent R.

doi:10.5147/jpgs.2013.0089

Cited by 10 publications

(25 citation statements)

References 20 publications

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“…Using the same population, QTLs for all AA, except asparagine and glutamine, were identified and mapped on the soybean genome. In a more recent study, a total of ten QTLs were detected in the "Essex" × "Williams" 82 RIL population [11]. They [11] identified QTL controlling soybean seed amino acids by using the Universal Soy Linkage Panel 1.0 with 1536 SNPs.…”

Section: Introductionmentioning

confidence: 99%

“…In a more recent study, a total of ten QTLs were detected in the "Essex" × "Williams" 82 RIL population [11]. They [11] identified QTL controlling soybean seed amino acids by using the Universal Soy Linkage Panel 1.0 with 1536 SNPs. They analyzed essential and non-essential amino acid composition in soybean seed proteins by using 282 F5:9 recombinant inbred lines developed from a cross of Essex × Williams 82 [11].…”

Section: Introductionmentioning

confidence: 99%

“…To date, very few studies are available on the genetic analysis of amino acid composition in soybean in spite of the several quantitative trait loci (QTLs) identified for amino acids in soybean, rice, and maize [6]- [10]. For example, genomic regions associated with amino acid composition in soybean were identified using 101 F6-derived recombinant inbred lines developed from a cross of N87-984-16 x TN93-99 [11]. They found a significant (p < 0.01) difference among the RIL for amino acid composition and a total of 94 polymorphic simple sequence repeats (SSRs) molecular markers.…”

Section: Introductionmentioning

confidence: 99%

“…They [11] identified QTL controlling soybean seed amino acids by using the Universal Soy Linkage Panel 1.0 with 1536 SNPs. They analyzed essential and non-essential amino acid composition in soybean seed proteins by using 282 F5:9 recombinant inbred lines developed from a cross of Essex × Williams 82 [11]. They used the Universal Soy Linkage Panel (USLP) 1.0 of 1536 single nucleotide polymorphism (SNP) DNA markers to genotype the 282 RILs and identify 480 useful genetic markers [11].…”

Section: Introductionmentioning

confidence: 99%

“…They analyzed essential and non-essential amino acid composition in soybean seed proteins by using 282 F5:9 recombinant inbred lines developed from a cross of Essex × Williams 82 [11]. They used the Universal Soy Linkage Panel (USLP) 1.0 of 1536 single nucleotide polymorphism (SNP) DNA markers to genotype the 282 RILs and identify 480 useful genetic markers [11]. They also found significant differences (p < 0.05) in the content of amino acids in all amino acids among genotypes in the population, and a total of ten QTLs were detected on chromosomes 5, 7, 9, 10, 13 and 20 [11].…”

Section: Introductionmentioning

confidence: 99%

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Mapping of QTL Associated with Seed Amino Acids Content in “MD96-5722” by “Spencer” RIL Population of Soybean Using SNP Markers

Khandaker¹,

Akond²,

Liu³

et al. 2015

FNS

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. (2015) Mapping of QTL Associated with Seed Amino Acids Content in "MD96-5722" by "Spencer" RIL Population of Soybean Using SNP Markers. AbstractLimited information is available on the genetic analysis of amino acid composition in soybean seeds. Previously, quantitative trait loci (QTLs) for seed isoflavones, protein, oil, and fatty acids were identified in the "MD96-5722" by "Spencer" and other RIL populations. There were wide variations for these seed constituents among the RIL populations. Therefore, the objective of this study was to identify QTLs controlling different amino acids content in soybean seeds. To achieve this objective, ninety-two F5:7 recombinant inbred lines (RIL), developed from a cross of MD96-5722 and Spencer, using a total 5376 Single Nucleotide Polymorphism (SNPs) markers, were used. The RILs were genotyped by using 537 polymorphic, reliably segregating SNP markers, developed from the Illumina Infinium SoySNP6K BeadChip array. A total of 13 QTLs were identified with three QTLs for threonine on the linkage group (LG) A1, C2, and B2. Two QTLs were identified for each of the amino acids proline on LG D1a and B2, serine on LG A1 and C2, tryptophan on LG K and G, and cysteine on LG A1 and K. One QTL was identified for arginine on LG N and histidine on LG J. The new QTLs findings for seed amino acid will facilitate the development of soybean cultivars with higher protein and amino acid quality to help meet the industry and consumer needs.* Corresponding author. L. Khandaker et al.975

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Mapping of QTL Associated with Seed Amino Acids Content in “MD96-5722” by “Spencer” RIL Population of Soybean Using SNP Markers

Khandaker¹,

Akond²,

Liu³

et al. 2015

FNS

Self Cite

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Soybean genetics, genomics, and breeding for improving nutritional value and reducing antinutritional traits in food and feed

Singer,

Lee,

Shea

et al. 2023

The Plant Genome

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Soybean [Glycine max (L.) Merr.] is a globally important crop due to its valuable seed composition, versatile feed, food, and industrial end‐uses, and consistent genetic gain. Successful genetic gain in soybean has led to widespread adaptation and increased value for producers, processors, and consumers. Specific focus on the nutritional quality of soybean seed composition for food and feed has further elucidated genetic knowledge and bolstered breeding progress. Seed components are historical and current targets for soybean breeders seeking to improve nutritional quality of soybean. This article reviews genetic and genomic foundations for improvement of nutritionally important traits, such as protein and amino acids, oil and fatty acids, carbohydrates, and specific food‐grade considerations; discusses the application of advanced breeding technology such as CRISPR/Cas9 in creating seed composition variations; and provides future directions and breeding recommendations regarding soybean seed composition traits.

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Genetic dissection reveals the complex architecture of amino acid composition in soybean seeds

Yuan

Huang

et al. 2023

Theor Appl Genet

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

Cited by 10 publications

References 20 publications

Mapping of QTL Associated with Seed Amino Acids Content in “MD96-5722” by “Spencer” RIL Population of Soybean Using SNP Markers

Mapping of QTL Associated with Seed Amino Acids Content in “MD96-5722” by “Spencer” RIL Population of Soybean Using SNP Markers

Soybean genetics, genomics, and breeding for improving nutritional value and reducing antinutritional traits in food and feed

Genetic dissection reveals the complex architecture of amino acid composition in soybean seeds

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