Stability of Protein and Oil Content in Soybean across Dry and Normal Environments—A Case Study in Croatia

Šarčević, Hrvoje; Iljkić, Dario; Andrijanić, Zoe; Sudarić, Aleksandra; Gunjača, Jerko; Varnica, Ivan; Rastija, Mirta; Godena, Sara; Maričević, Marko; Stepinac, Domagoj; Pejić, Ivan

doi:10.3390/agronomy12040915

Cited by 3 publications

(3 citation statements)

References 51 publications

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“…The antioxidant dipeptides PHF and YYL showed the maximum peptide rank scores of 0.93 and 0.59, respectively ( Table 4 ). Papain and bromelain mostly generate several active antioxidant peptides [ 2 , 14 ]. The toxicity of peptides derived from glycinin and conglycinin is one of the factors that can inhibit peptides’ development as functional food ingredients [ 31 , 32 ].…”

Section: Resultsmentioning

confidence: 99%

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In Silico Approach of Glycinin and Conglycinin Chains of Soybean By-Product (Okara) Using Papain and Bromelain

et al. 2022

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This study explores utilization of a sustainable soybean by-product (okara) based on in silico approach. In silico approaches, as well as the BIOPEP database, PeptideRanker database, Peptide Calculator database (Pepcalc), ToxinPred database, and AllerTop database, were employed to evaluate the potential of glycinin and conglycinin derived peptides as a potential source of bioactive peptides. These major protein precursors have been found as protein in okara as a soybean by-product. Furthermore, primary structure, biological potential, and physicochemical, sensory, and allergenic characteristics of the theoretically released antioxidant peptides were predicted in this research. Glycinin and α subunits of β-conglycinin were selected as potential precursors of bioactive peptides based on in silico analysis. The most notable among these are antioxidant peptides. First, the potential of protein precursors for releasing bioactive peptides was evaluated by determining the frequency of occurrence of fragments with a given activity. Through the BIOPEP database analysis, there are several antioxidant bioactive peptides in glycinin and β and α subunits of β-conglycinin sequences. Then, an in silico proteolysis using selected enzymes (papain, bromelain) to obtain antioxidant peptides was investigated and then analyzed using PeptideRanker and Pepcalc. Allergenic analysis using the AllerTop revealed that all in silico proteolysis-derived antioxidant peptides are probably nonallergenic peptides. We also performed molecular docking against MPO (myeloperoxidases) for this peptide. Overall, the present study highlights that glycinin and β and α subunits of β-conglycinin could be promising precursors of bioactive peptides that have an antioxidant peptide for developing several applications.

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Section: Resultsmentioning

confidence: 99%

“…Soybean has been commercialized in nature and soy-derived products include textured soy, soymilk, tofu, and fermented products (miso, shoyo, and tempeh). Soybean is a very important commodity in several areas as a protein source [ 1 , 2 ]. Okara is first developed by the production of soymilk.…”

Section: Introductionmentioning

confidence: 99%

In Silico Approach of Glycinin and Conglycinin Chains of Soybean By-Product (Okara) Using Papain and Bromelain

et al. 2022

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“…In addition, the interaction between genotype, environment, and management practices (G×E×M) substantially impacts seed protein and oil contents as well as EAAs concentration. For instance, water deficit has been reported to reduce seed protein content while increasing seed oil content 37 , 77 , 78 . In contrast, increased precipitation has been associated with reductions in both seed protein and oil contents 79 .…”

Section: Discussionmentioning

confidence: 99%

Across-environment seed protein stability and genetic architecture of seed components in soybean

Wu,

Acuña,

Florez-Palacios

et al. 2024

Sci Rep

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The recent surge in the plant-based protein market has resulted in high demands for soybean genotypes with improved grain yield, seed protein and oil content, and essential amino acids (EAAs). Given the quantitative nature of these traits, complex interactions among seed components, as well as between seed components and environmental factors and management practices, add complexity to the development of desired genotypes. In this study, the across-environment seed protein stability of 449 genetically diverse plant introductions was assessed, revealing that genotypes may display varying sensitivities to such environmental stimuli. The EAAs valine, phenylalanine, and threonine showed the highest variable importance toward the variation in stability, while both seed protein and oil contents were among the explanatory variables with the lowest importance. In addition, 56 single nucleotide polymorphism (SNP) markers were significantly associated with various seed components. Despite the strong phenotypic Pearson’s correlation observed among most seed components, many independent genomic regions associated with one or few seed components were identified. These findings provide insights for improving the seed concentration of specific EAAs and reducing the negative correlation between seed protein and oil contents.

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Registration of high‐yielding, high‐protein soybean germplasm USDA‐N7007 derived from wild soybean PI 366122

Fallen,

Robertson,

Taliercio

et al. 2024

J of Plant Registrations

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USDA‐N7007 is a non‐GM, maturity group (MG) VII soybean [Glycine max (L.) Merr.] (Reg. no. GP‐529, PI 705147) germplasm released by the USDA Agricultural Research Service in conjunction with the North Carolina Agricultural Research Service in December of 2023. USDA‐N7007 is a high‐yielding, high‐protein germplasm derived from wild soybean (Glycine soja Siebold & Zucc; PI 366122) and small‐seeded MG VII USDA cultivar N7103. Over 47 combined testing environments of the USDA Southern Uniform and USB Protein Diversity Tests (2018–2021), USDA‐N7007 yielded 98% of the check mean and 102% of the test mean. The average protein content of USDA‐N7007 was significantly higher (432 g kg−1) than the average check means of 402 g kg−1 and 413 g kg−1 in the USDA Southern Uniform and USB Protein Diversity Tests, respectively. Across both tests (2019–2021), the release was significantly (p < 0.05) higher in protein (+7 g kg−1), with 9% higher seed yield (+242 kg ha−1) than the recurrent parent N7103. USDA‐N7007 is resistant to lodging, southern root‐knot nematode, and stem canker. To the best of our knowledge, this is the first US release clearly demonstrating that the wild soybean genome can be incorporated into an elite cultivar to increase seed protein without a negative effect on seed yield. This release is a truly novel and valuable resource for development of future US soybean cultivars because it will be useful to improve both genetic diversity and seed protein simultaneously without a negative effect on seed yield.

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Stability of Protein and Oil Content in Soybean across Dry and Normal Environments—A Case Study in Croatia

Cited by 3 publications

References 51 publications

In Silico Approach of Glycinin and Conglycinin Chains of Soybean By-Product (Okara) Using Papain and Bromelain

In Silico Approach of Glycinin and Conglycinin Chains of Soybean By-Product (Okara) Using Papain and Bromelain

Across-environment seed protein stability and genetic architecture of seed components in soybean

Registration of high‐yielding, high‐protein soybean germplasm USDA‐N7007 derived from wild soybean PI 366122

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