Jason D. Gillman

The low phytic acid phenotype in soybean line CX1834 is due to mutations in two homologs of the maize low phytic acid gene.

Plant seeds accumulate phosphorus in the form of myo‐inositol‐1,2,3,4,5,6‐hexa‐kisphosphate, commonly referred to as phytic acid. Phytic acid is found complexed with cationic mineral species in the form of phytate, which is not well digested or absorbed by monogastric species such as humans, poultry, and swine. As a result, soybean [Glycine max (L.) Merr.] has an effective deficiency of phosphorus and other minerals, despite high levels of minerals and phosphorus in the seed. Excreted phytate can also contribute to phosphorus contamination of groundwater and eutrophication of freshwater lakes and streams. In maize (Zea mays L. ssp. mays), a recessive mutation in a conserved region within the low phytic acid 1 (lpa1) gene is responsible for the low phytic acid phenotype. We have identified recessive mutations in two soybean homologs of the maize lpa1 gene in soybean line CX1834, a mutagenized line with a low phytic acid phenotype. In three populations analyzed, we identified complete association between homozygosity for mutant alleles of the two lpa1 homologs and the low phytic acid phenotype in soybean. Molecular marker assays were designed that can be used to directly select for the mutant alleles that control the phenotype.

Intricate environment-modulated genetic networks control isoflavone accumulation in soybean seeds

BackgroundSoybean (Glycine max [L] Merr.) seed isoflavones have long been considered a desirable trait to target in selection programs for their contribution to human health and plant defense systems. However, attempts to modify seed isoflavone contents have not always produced the expected results because their genetic basis is polygenic and complex. Undoubtedly, the extreme variability that seed isoflavones display over environments has obscured our understanding of the genetics involved.ResultsIn this study, a mapping population of RILs with three replicates was analyzed in four different environments (two locations over two years). We found a total of thirty-five main-effect genomic regions and many epistatic interactions controlling genistein, daidzein, glycitein and total isoflavone accumulation in seeds. The use of distinct environments permitted detection of a great number of environment-modulated and minor-effect QTL. Our findings suggest that isoflavone seed concentration is controlled by a complex network of multiple minor-effect loci interconnected by a dense epistatic map of interactions. The magnitude and significance of the effects of many of the nodes and connections in the network varied depending on the environmental conditions. In an attempt to unravel the genetic architecture underlying the traits studied, we searched on a genome-wide scale for genomic regions homologous to the most important identified isoflavone biosynthetic genes. We identified putative candidate genes for several of the main-effect and epistatic QTL and for QTL reported by other groups.ConclusionsTo better understand the underlying genetics of isoflavone accumulation, we performed a large scale analysis to identify genomic regions associated with isoflavone concentrations. We not only identified a number of such regions, but also found that they can interact with one another and with the environment to form a complex adaptable network controlling seed isoflavone levels. We also found putative candidate genes in several regions and overall we advanced the knowledge of the genetics underlying isoflavone synthesis.

Soybean seed lipoxygenase genes: molecular characterization and development of molecular marker assays

Soybean seeds contain three lipoxygenase (Lox) enzymes that are controlled by separate genes, Lox1, Lox2 and Lox3. Lipoxygenases play a role in the development of unpleasant flavors in foods containing soybean by oxidation of polyunsaturated fatty acids. Null alleles for all three enzymes have been identified, lox1, lox2 and lox3, and are known to be inherited as simple recessive alleles. Previous studies determined that a missense mutation rendered Lox2 inactive; however, the genetic cause of either lox1 or lox3 mutation was not known. The objectives of this study were the molecular characterization of both lox1 and lox3 mutant alleles and the development of molecular markers to accelerate breeding for Lox-free soybean varieties. We identified two independent mutant alleles as the genetic causes of the lack of Lox1 in seeds of two lox1 mutant soybean lines. Similarly, a mutant allele that truncates Lox3 in a lox3 mutant soybean line was identified. Molecular markers were designed and confirmed to distinguish mutant, wild type, and heterozygous individuals for Lox1, Lox2 and Lox3 genes. Genotype and Lox phenotype analysis showed a perfect association between the inheritance of homozygous lox mutant alleles and the lack of Lox activity. Molecular characterization of a seed-lipoxygenase-free soybean line led to the discovery that an induced recombination event within the Lox1 gene was responsible for breaking the tight linkage in repulsion phase between mutant alleles at the Lox1 and Lox2 loci. The molecular resources developed in this work should accelerate the inclusion of the lipoxygenase-free trait in soybean varieties.

Deletions of the SACPD-C locus elevate seed stearic acid levels but also result in fatty acid and morphological alterations in nitrogen fixing nodules.

BackgroundSoybean (Glycine max) seeds are the primary source of edible oil in the United States. Despite its widespread utility, soybean oil is oxidatively unstable. Until recently, the majority of soybean oil underwent chemical hydrogenation, a process which also generates trans fats. An alternative to chemical hydrogenation is genetic modification of seed oil through identification and introgression of mutant alleles. One target for improvement is the elevation of a saturated fat with no negative cardiovascular impacts, stearic acid, which typically constitutes a minute portion of seed oil (~3%).ResultsWe examined radiation induced soybean mutants with moderately increased stearic acid (10-15% of seed oil, ~3-5 X the levels in wild-type soybean seeds) via comparative whole genome hybridization and genetic analysis. The deletion of one SACPD isoform encoding gene (SACPD-C) was perfectly correlated with moderate elevation of seed stearic acid content. However, SACPD-C deletion lines were also found to have altered nodule fatty acid composition and grossly altered morphology. Despite these defects, overall nodule accumulation and nitrogen fixation were unaffected, at least under laboratory conditions.ConclusionsAlthough no yield penalty has been reported for moderate elevated seed stearic acid content in soybean seeds, our results demonstrate that genetic alteration of seed traits can have unforeseen pleiotropic consequences. We have identified a role for fatty acid biosynthesis, and SACPD activity in particular, in the establishment and maintenance of symbiotic nitrogen fixation.

Phosphorus Partitioning of Soybean Lines Containing Different Mutant Alleles of Two Soybean Seed-Specific Adenosine Triphosphate-Binding Cassette Phytic Acid Transporter Paralogs

Seed phytate is a repository of P and minerals in soybean [Glycine max (L.) Merr.] seeds that limits P and mineral bioavailability for monogastric animals (e.g., humans, swine [Sus scrofa], and poultry [especially chicken, Gallus domesticus]) due to insufficient digestive tract phytase activity. We previously identified epistatic recessive mutations affecting two paralogous adenosine triphosphate‐binding cassette phytic acid transporter genes (one a nonsense mutation in Lpa1 and the other a missense mutation in Lpa2) as the molecular genetic basis in the ethyl methanesulfonate (EMS)‐induced mutant low phytate soybean line M153. An additional mutant low phytate line, M766, contained one single nucleotide polymorphism within the ninth intron of the Lpa1 locus as well as a nonsense mutation in Lpa2. The objectives of this research were to clarify the genetics underlying the low phytate phenotype in line M766 and to determine P partitioning in new combinations of mutant alleles from M766 and M153. Inheritance of nonsense alleles affecting both low phytic acid (Lpa) genes (one from M153 and one from M766) led to the production of viable seeds that contained transgressive reductions in total seed phytate and significantly higher levels of inorganic phosphate than has been reported for nontransgenic soybean material and will allow efficient molecular selection of soybeans with even greater reductions of phytate for improved quality soybean meal.

Identification of a plant introduction soybean line with genetic lesions affecting two distinct glycinin subunits and evaluation of impacts on protein content and composition

Unlike other oilseeds, soybean (Glycine max [L.] Merr) is also valuable due to its direct conversion into human food. One notable example is the cheese-like product tofu. The quality of tofu is improved when protein subunits derived from two glycinin genes, Gy1 and Gy4, are reduced or absent. Here we report the discovery that one exotic soybean plant introduction line, PI 605781 B, has not only a previously described loss-of-expression mutation affecting one glycinin gene (gy4), but also bears an extremely rare, potentially unique, frameshift mutation in the Glycinin1 gene (gy1-a). We analyzed glycinin gene expression via qRT-PCR with mRNA from developing seeds, which revealed that the novel allele dramatically reduced Gy1 mRNA accumulation. Similarly, both A4A5B3 and A1aB1a protein subunits were absent or at undetectable levels, as determined by two-dimensional protein fractionation. Despite the reduction in glycinin content, overall seed protein levels were unaffected. The novel gy1-a allele was found to be unique to PI 605871B in a sampling of 247 diverse germplasm lines drawn from a variety of geographic origins.

Genotyping-by-Sequencing-Based Investigation of the Genetic Architecture Responsible for a ∼Sevenfold Increase in Soybean Seed Stearic Acid

Soybean oil is highly unsaturated but oxidatively unstable, rendering it nonideal for food applications. Until recently, the majority of soybean oil underwent partial chemical hydrogenation, which produces trans fats as an unavoidable consequence. Dietary intake of trans fats and most saturated fats are conclusively linked to negative impacts on cholesterol levels and cardiovascular health. Two major soybean oil breeding targets are: (1) to reduce or eliminate the need for chemical hydrogenation, and (2) to replace the functional properties of partially hydrogenated soybean oil. One potential solution is the elevation of seed stearic acid, a saturated fat which has no negative impacts on cardiovascular health, from 3 to 4% in typical cultivars to > 20% of the seed oil. We performed QTL analysis of a population developed by crossing two mutant lines, one with a missense mutation affecting a stearoyl-acyl-carrier protein desaturase gene resulting in ∼11% seed stearic acid crossed to another mutant, A6, which has 24–28% seed stearic acid. Genotyping-by-sequencing (GBS)-based QTL mapping identified 21 minor and major effect QTL for six seed oil related traits and plant height. The inheritance of a large genomic deletion affecting chromosome 14 is the basis for largest effect QTL, resulting in ∼18% seed stearic acid. This deletion contains SACPD-C and another gene(s); loss of both genes boosts seed stearic acid levels to ≥ 18%. Unfortunately, this genomic deletion has been shown in previous studies to be inextricably correlated with reduced seed yield. Our results will help inform and guide ongoing breeding efforts to improve soybean oil oxidative stability.

Identification of a New Soybean Kunitz Trypsin Inhibitor Mutation and Its Effect on Bowman−Birk Protease Inhibitor Content in Soybean Seed

Soybean seed contains antinutritional compounds that inactivate digestive proteases, principally corresponding to two families: Kunitz trypsin inhibitors (KTi) and Bowman-Birk inhibitors (BBI). High levels of raw soybean/soybean meal in feed mixtures can cause poor weight gain and pancreatic abnormalities via inactivation of trypsin/chymotrypsin enzymes. Soybean protein meal is routinely heat-treated to inactivate inhibitors, a practice that is energy-intensive and costly and can degrade certain essential amino acids. In this work, we screened seed from 520 soybean accessions, using a combination of sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and immunoblots with anti-Kunitz trypsin inhibitor antibodies. A soybean germplasm accession was identified with a mutation affecting an isoform annotated as nonfunctional (KTi1), which was determined to be synergistic with a previously identified mutation (KTi3-). We observed significant proteome rebalancing in all KTi mutant lines, resulting in dramatically increased BBI protein levels.

Identification of the molecular genetic basis of the low palmitic acid seed oil trait in soybean mutant line RG3 and association analysis of molecular markers with elevated seed stearic acid and reduced seed palmitic acid

The fatty acid composition of vegetable oil is becoming increasingly critical for its ultimate functionality and utilization in foods and industrial products. Partial chemical hydrogenation of soybean [Glycine max (L.) Merr.] oil increases oxidative stability and shelf life but also results in the introduction of trans fats as an unavoidable byproduct. Due to mandatory labeling of consumer products containing trans fats, conventional soybean oil has lost the ability to deliver the most appropriate economical functionality and oxidative stability, particularly for baking applications. Genetic improvement of the fatty acid profile of soybean oil is one method of meeting these new requirements for oil feedstocks. In this report, we characterized three mutant genetic loci controlling the saturated fatty acid content of soybean oil: two genes additively reduce palmitic acid content (fap1 and fap3-ug), and one gene independently elevates stearic acid content (fas). We identified a new null allele of fap3-ug/GmFATB1A (derived from line ELLP2) present in line RG3. The splicing defect mutation in a beta-ketoacyl-[acyl-carrier-protein] synthase III candidate gene located in the region mapped to fap1, derived originally from ethyl methane sulphonate mutant line C1726 (Cardinal et al. in Theor Appl Genet 127:97–111, 2014), was also present in line RG3. We also utilized the elevated stearic acid line RG7, which has previously been shown to contain novel mutant fas/SACPD-C alleles encoding stearoyl-acyl carrier protein desaturase (Boersma et al. in Crop Sci 52:1736–1742, 2012). Molecular marker assays have been developed to track these causative mutations and understand their contributions to seed oil fatty acid profiles in a recombinant inbred line population segregating for fap1, fap3-ug, and fas alleles.

Whole Genome Resequencing Identifies the Molecular Genetic Cause for the Absence of a Gy5 Glycinin Protein in Soybean PI 603408

During ongoing proteomic analysis of the soybean (Glycine max (L.) Merr) germplasm collection, PI 603408 was identified as a landrace whose seeds lack accumulation of one of the major seed storage glycinin protein subunits. Whole genomic resequencing was used to identify a two-base deletion affecting glycinin 5. The newly discovered deletion was confirmed to be causative through immunological, genetic, and proteomic analysis, and no significant differences in total seed protein content were found to be due to the glycinin 5 loss-of-function mutation per se. In addition to focused studies on this one specific glycinin subunit-encoding gene, a total of 1,858,185 nucleotide variants were identified, of which 39,344 were predicted to affect protein coding regions. In order to semiautomate analysis of a large number of soybean gene variants, a new SIFT 4G (Sorting Intolerant From Tolerated 4 Genomes) database was designed to predict the impact of nonsynonymous single nucleotide soybean gene variants, potentially enabling more rapid analysis of soybean resequencing data in the future.