New Mutations in a <i>Delta‐9‐Stearoyl‐Acyl Carrier Protein Desaturase</i> Gene Associated with Enhanced Stearic Acid Levels in Soybean Seed

Boersma, Jeff rey G.; Gillman, Jason D.; Bilyeu, Kristin; Ablett, G. R.; Grainger, Christopher M.; Rajcan, Istvan

doi:10.2135/cropsci2011.08.0411

Cited by 29 publications

(23 citation statements)

References 24 publications

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“…Increased stearic acid in soybean seed oil has been achieved primarily through decreasing the activity of stearoyl-[acyl-carrier-protein] 9-desaturase (SACPD) enzymes. The SACPD-C gene on chromosome 14 (Glyma.14g121400 in Wm82.a2.v1) was shown to be key for controlling stearic acid accumulation in the seed oil, but mutations have also been identified in other SACPD genes (Boersma et al, 2012;Carrero-Colón, Abshire, Sweeney, Gaskin, & Hudson, 2014;Gillman, Stacey, Cui, Berg, & Stacey, 2014;Ruddle, Whetten, Cardinal, Upchurch, & Miranda, 2013;Zhang et al, 2008). One study reported the fatty acid phenotype for seven F 2 seeds with combinations of mutant alleles of FAD2-1A, FAD2-1B, and SACPD-C in which the stearic acid levels were between 10 and 13% of the oil (Ruddle, Whetten, Cardinal, Upchurch, & Miranda, 2014).…”

Section: Introductionmentioning

confidence: 99%

The Interaction of the Soybean Seed High Oleic Acid Oil Trait With Other Fatty Acid Modifications

Bilyeu

Škrabišová

Allen

et al. 2018

J Americ Oil Chem Soc

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Oil value is determined by the functional qualities imparted from the fatty acid profile. Soybean oil historically had excellent use in foods and industry; the need to increase the stability of the oil without negative health consequences has led to a decline in soybean oil use. One solution to make the oil stable is to have high oleic acid (>70%) and lower linolenic acid content in the oil. Other fatty acid profile changes are intended to target market needs: low‐saturated fatty acid and high stearic acid content in the oil. The objective of this study is to determine the interaction of the high oleic acid oil trait with other alleles controlling fatty acid profiles. Soybean lines containing high oleic acid allele combinations plus other fatty acid modifying alleles were produced, and the seed was produced in multiple field environments over 2 years. Stable high oleic acid with low linolenic acid (<3.0%) was achieved with a 4‐allele combination. The target of >20% stearic acid in the seed oil was not achieved. Reducing total saturated fatty acids below 7% in a high oleic acid background was possible with mutant alleles of both an acyl‐ACP thioesterase B and a β‐ketoacyl‐[acyl‐carrier‐protein] synthase III gene. The results identified allele combinations that met the target fatty acid profile thresholds and were most stable across environments.

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Section: Introductionmentioning

confidence: 99%

The Interaction of the Soybean Seed High Oleic Acid Oil Trait With Other Fatty Acid Modifications

Bilyeu

Škrabišová

Allen

et al. 2018

J Americ Oil Chem Soc

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“…Deletion of the SACPD-C gene in the A6 germplasm line results in up to 28% stearic acid in the seed, but the size of this deletion is uncharacterized [4], [6]. Additional SACPD-C mutants have been described with a range of 10-16% stearic acid in the seeds [4], [7]. SACPD-B mutants have recently been reported to contain ∼10% stearic acid [8].…”

Section: Introductionmentioning

confidence: 99%

Mutations in SACPD-C Result in a Range of Elevated Stearic Acid Concentration in Soybean Seed

et al. 2014

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Soybean oil has a wide variety of uses, and stearic acid, which is a relatively minor component of soybean oil is increasingly desired for both industrial and food applications. New soybean mutants containing high levels of the saturated fatty acid stearate in seeds were recently identified from a chemically mutagenized population. Six mutants ranged in stearate content from 6–14% stearic acid, which is 1.5 to 3 times the levels contained in wild-type seed of the Williams 82 cultivar. Candidate gene sequencing revealed that all of these lines carried amino acid substitutions in the gene encoding the delta-9-stearoyl-acyl-carrier protein desaturase enzyme (SACPD-C) required for the conversion of stearic acid to oleic acid. Five of these missense mutations were in highly conserved residues clustered around the predicted di-iron center of the SACPD-C enzyme. Co-segregation analysis demonstrated a positive association of the elevated stearate trait with the SACPD-C mutation for three populations. These missense mutations may provide additional alleles that may be used in the development of new soybean cultivars with increased levels of stearic acid.

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“…Improving the fatty acid profile in soybean has gained importance recently, particularly with the Food and Drug Administration recently ruling that partially hydrogenated oils are no longer generally recognized as safe (https://www.federalregister.gov/ articles/2015/06/17/2015-14883/f inal-determinationregarding-partially-hydrogenated-oils). Although much recent work has occurred in the improvement of soybean fatty acids (Pantalone et al, 2002;Pham et al, 2010;Bilyeu et al, 2011;Boersma et al, 2012;Gillman et al, 2014), there is still a need for continued advancement. Coinciding with this is the goal of increasing oxidatively stable, monounsaturated oleic acid (>800 g kg −1 ).…”

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Context‐Specific Genomic Selection Strategies Outperform Phenotypic Selection for Soybean Quantitative Traits in the Progeny Row Stage

et al. 2019

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Evaluating different breeding selection strategies for relative utility is necessary to choose those that maximize efficiency. Soybean [Glycine max (L.) Merr.] seed yield and fatty acid, protein, and oil contents are all commercially important traits that display complex quantitative inheritance. A soybean population consisting of 860 F5–derived recombinant inbred lines (RILs), genotyped with 4867 polymorphic single nucleotide polymorphism (SNPs) was used to compare phenotypic and context specific genomic selection (GS) strategies. To simulate progeny rows, each RIL was grown in a single plot in 2010 in Knoxville, TN, and phenotype was recorded. A subset of 276 RILs with similar maturity was then grown in multilocation, replicated field trials in 2013 to compare the performance of each selection method in field conditions. Notably, the preferred method for each trait was GS. Of the GS approaches evaluated, Epistacy performed best for yield, and BayesB and/or genomic best linear unbiased prediction (G‐BLUP) were preferred for each of the other traits. Yield was the only trait for which the predictions had a large change when the number of SNPs and the number of RILs were randomly reduced for the G‐BLUP model, with the best predictions occurring when RILs with different maturity that were not grown in 2013 were removed from the training set. These findings provide important information on how soybean breeders can maximize selections from the progeny row stage for yield and fatty acid, protein, and oil contents by using appropriate selection strategies.

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New Mutations in a Delta‐9‐Stearoyl‐Acyl Carrier Protein Desaturase Gene Associated with Enhanced Stearic Acid Levels in Soybean Seed

Cited by 29 publications

References 24 publications

The Interaction of the Soybean Seed High Oleic Acid Oil Trait With Other Fatty Acid Modifications

The Interaction of the Soybean Seed High Oleic Acid Oil Trait With Other Fatty Acid Modifications

Mutations in SACPD-C Result in a Range of Elevated Stearic Acid Concentration in Soybean Seed

Context‐Specific Genomic Selection Strategies Outperform Phenotypic Selection for Soybean Quantitative Traits in the Progeny Row Stage

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