Genomic Regions Associated with Amino Acid Composition in Soybean |
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Authors: | D R Panthee V R Pantalone A M Saxton D R West C E Sams |
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Institution: | (1) Department of Plant Sciences, University of Tennessee, 2431 Joe Johnson Dr, 252 Ellington Plant Science Bldg., Knoxville, TN 37996, USA;(2) Department of Animal Science, University of Tennessee, 2505 River Dr., 208c Brehm Animal Sciences, Knoxville, TN 37996, USA |
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Abstract: | Soybean Glycine max (L.) Merr.] is the single largest source of protein in animal feed. However, few studies have been conducted to evaluate
genomic regions controlling amino acid composition in soybean. It is important to study the genetics of amino acid composition
to achieve improvements through breeding. The objectives of this study were to determine the ratios between essential to non-essential
(E:NE) and essential to total (E:T) amino acids, and to identify genomic regions controlling essential and non-essential amino
acid composition in soybean seed. To achieve these objectives, 101 F6-derived recombinant inbred lines (RIL) developed from a cross of N87-984-16 × TN93-99 were used. Ground soybean seed samples
were analyzed for amino acids using a near infrared spectroscopy (NIRS) instrument. A significant (p < 0.01) difference among the RIL was found for amino acid composition. Heritability estimates on an entry mean basis ranged
from 0.13 for His to 0.67 for Tyr. A total of 94 polymorphic simple sequence repeat (SSR) molecular genetic markers were screened
in DNA from progenies. Single factor ANOVA was used to identify candidate quantitative trait loci (QTL), which were then confirmed
by QTL Cartographer. At least one QTL for each amino acid was detected in this population. QTL linked to molecular markers
Satt143, Satt168, Satt203, Satt274 and Satt495 were associated with most of the amino acids. Phenotypic variation explained
by an individual QTL ranged from 9.4 to 45.3%. QTL detected for amino acids in soybean in this experiment are expected to
be useful for future breeding programs targeting development of improved soybean amino acid composition for human and animal
nutrition. |
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Keywords: | Amino acid Genomic regions Glycine max Lysine QTL mapping Soybean Threonine Tryptophan |
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