Won Young Han

In-depth proteomic analysis of Glycine max seeds during controlled deterioration treatment reveals a shift in seed metabolism

Seed aging is one of the major events, affecting the overall quality of agricultural seeds. To analyze the effect of seed aging, soybean seeds were exposed to controlled deterioration treatment (CDT) for 3 and 7days, followed by their physiological, biochemical, and proteomic analyses. Seed proteins were subjected to protamine sulfate precipitation for the enrichment of low-abundance proteins and utilized for proteome analysis. A total of 14 differential proteins were identified on 2-DE, whereas label-free quantification resulted in the identification of 1626 non-redundant proteins. Of these identified proteins, 146 showed significant changes in protein abundance, where 5 and 141 had increased and decreased abundances, respectively while 352 proteins were completely degraded during CDT. Gene ontology and KEGG analyses suggested the association of differential proteins with primary metabolism, ROS detoxification, translation elongation and initiation, protein folding, and proteolysis, where most, if not all, had decreased abundance during CDT. Western blotting confirmed reduced level of antioxidant enzymes (DHAR, APx1, MDAR, and SOD) upon CDT. This in-depth integrated study reveals a major downshift in seed metabolism upon CDT. Reported data here serve as a resource for its exploitation to metabolic engineering of seeds for multiple purposes, including increased seed viability, vigor, and quality. BIOLOGICAL SIGNIFICANCE Controlled deterioration treatment (CDT) is one of the major events that negatively affects the quality and nutrient composition of agricultural seeds. However, the molecular mechanism of CDT is largely unknown. A combination of gel-based and gel-free proteomic approach was utilized to investigate the effects of CDT in soybean seeds. Moreover, we utilized protamine sulfate precipitation method for enrichment of low-abundance proteins, which are generally masked due to the presence of high-abundance seed storage proteins. Reported data here serve as resource for its exploitation to metabolic engineering of seeds for multiple purposes, including increased seed viability, vigor, and quality.

Comparative Biochemical and Proteomic Analyses of Soybean Seed Cultivars Differing in Protein and Oil Content

This study develops differential protein profiles of soybean (Glycine max) seeds (cv. Saedanbaek and Daewon) varying in protein (47.9 and 39.2%) and oil (16.3 and 19.7%) content using protamine sulfate (PS) precipitation method coupled with a 2D gel electrophoresis (2DGE) approach. Of 71 detected differential spots between Daewon and Saedanbaek, 48 were successfully identified by MALDI-TOF/TOF. Gene ontology analysis revealed that up-regulated proteins in Saedanbaek were largely associated with nutrient reservoir activity (42.6%), which included mainly seed-storage proteins (SSPs; subunits of glycinin and β-conglycinin). Similar results were also obtained in two cultivars of wild soybean (G. soja cv. WS22 and WS15) differing in protein content. Western blots confirmed higher accumulation of SSPs in protein-rich Saedanbaek. Findings presented and discussed in this study highlight a possible involvement of the urea cycle for increased accumulation of SSPs and hence the higher protein content in soybean seeds.

High-throughput proteome analysis reveals changes of primary metabolism and energy production under artificial aging treatment in Glycine max seeds

This study was conducted to obtain basic information on protein profile changes by artificial aging in soybean seeds. Seed proteins were extracted using the protamine sulfate precipitation method, which improves the detection of low-abundance proteins (LAPs) by depleting the major seed storage proteins . Isolated proteins were separated by high-resolution two-dimensional gel electrophoresis (2-DE), and differentially modulated protein spots were identified by MALDI-TOF/TOF. A total of 33 differential proteins were identified of which 31 and 2 showed decreased and increased abundances, respectively. Functional annotation of the identified proteins revealed that proteins were mainly associated with primary metabolism (55%) and response to stimulus (20.9%). Proteins with increased abundance were associated with nutrient reservoir activity (spots 5, 10), while the decreased abundance proteins were mainly involved in the primary metabolism such as carbohydrate metabolic process (spots 1–3, 11), protein folding (spots 6–9, 33), glucose metabolic process (spot 25) oxidoreductase activity (spots 19–24), UDP-glucose pyrophosphorylase activity (spots 12, 13). These results provide information about proteome changes, especially, LAPs during artificial seed aging treatment.

Seed coat color and seed weight contribute differential responses of targeted metabolites in soybean seeds

The distribution and variation of targeted metabolites in soybean seeds are affected by genetic and environmental factors. In this study, we used 192 soybean germplasm accessions collected from two provinces of Korea to elucidate the effects of seed coat color and seeds dry weight on the metabolic variation and responses of targeted metabolites. The effects of seed coat color and seeds dry weight were present in sucrose, total oligosaccharides, total carbohydrates and all measured fatty acids. The targeted metabolites were clustered within three groups. These metabolites were not only differently related to seeds dry weight, but also responded differentially to seed coat color. The inter-relationship between the targeted metabolites was highly present in the result of correlation analysis. Overall, results revealed that the targeted metabolites were diverged in relation to seed coat color and seeds dry weight within locally collected soybean seed germplasm accessions.

Drying Characteristics of Soybean (Glycine Max) Using Continuous Drying and Intermittent Drying

Abstract The effects of drying temperature by continuous and intermittent drying on the drying characteristics of soybean were determined in this study. Among the thin-layer drying models, the Midilli–Kucuk model showed the best fit (R2 > 0.99) to describe the drying of soybean. At 300 min of the effective drying time, the moisture content of continuous drying at 35, 40, and 45 ºC were 9.38 (±0.00), 8.69 (±0.17), and 7.70 % (±0.48), respectively; while the moisture content of intermittent drying at 35, 40, and 45 ºC were 8.28 (±0.21), 7.31 (±0.41), and 6.97 % (±0.07), respectively. The image analysis method for detection of the crack in soybean demonstrated that at the target moisture content (7.7 %), cracked grain ratios with intermittent drying at 35, 40, and 45 ºC were reduced by 52.08, 27.59, and 18.24 %, respectively. With the effective drying time, the activation energy for intermittent drying (9.33 kJ/mol) was significantly lower than that value for continuous drying (21.23 kJ/mol).

Gel-based and gel-free proteome data associated with controlled deterioration treatment of Glycine max seeds

Data presented here are associated with the article: “In-depth proteomic analysis of soybean (Glycine max) seeds during controlled deterioration treatment (CDT) reveals a shift in seed metabolism” (Min et al., 2017) [1]. Seed deterioration is one of the major problems, affecting the seed quality, viability, and vigor in a negative manner. Here, we display the gel-based and gel-free proteomic data, associated with the CDT in soybean seeds. The present data was obtained from 2-DE, shotgun proteomic analysis (label-free quantitative proteomic analysis) using Q-Exactive, and gene ontology analysis associated with CDT in soybean seeds (Min et al., 2017) [1].