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Soaking of soybean seeds is a prerequisite for the production of soy foods, and it has been shown that the extent of water absorbed during different imbibition conditions directly affects the quality of the subsequent soybean seed products by yet unknown mechanisms. In order to elucidate the molecular changes in soybean seeds during different soaking temperatures, we performed an integrated proteomics and metabolomics analysis of seeds soaked at 4, 25, and 55 °C. Proteomics analysis revealed that various enzymes related to carbohydrate and protein hydrolysis were activated in soybean seeds during water soaking at 55 °C. Interestingly, results obtained from this integrated proteomics and metabolomics study showed changes in various metabolites, including isoflavones, amino acids, and sugars, that were positively correlated with proteome changes occurring upon soaking at 55 °C. Furthermore, soaking of soybean seeds at 55 °C resulted in degradation of indigestible anti-nutrients such as raffinose oligosaccharides. Taken together, our results suggest that the seed soaking at a high temperature (55 °C) increases the nutritional value of soybean seeds by decreasing the contents of some of the common anti-nutrients.

Despite the significant technical advancements in mass spectrometry-based proteomics and bioinformatics resources, dynamic resolution of soybean seed proteome is still limited because of the high abundance of seed storage proteins (SSPs). These SSPs occupy a large proportion of the total seed protein and hinder the identification of low-abundance proteins. Here, we report a TMT-based quantitative proteome analysis of matured and filling stages seeds of high-protein (Saedanbaek) and low-protein (Daewon) soybean cultivars by application of a two-way pre-fractionation both at the levels of proteins (by PS) and peptides (by basic pH reverse phase chromatography). Interestingly, this approach led to the identification of more than 5900 proteins which is the highest number of proteins reported to date from soybean seeds. Comparative protein profiles of Saedanbaek and Daewon led to the identification of 2200 and 924 differential proteins in mature and filling stages seeds, respectively. Functional annotation of the differential proteins revealed enrichment of proteins related to major metabolism including amino acid, major carbohydrate, and lipid metabolism. In parallel, analysis of free amino acids and fatty acids in the filling stages showed higher contents of all the amino acids in the Saedanbaek while the fatty acids contents were found to be higher in the Daewon. Taken together, these results provide new insights into proteome changes during filling stages in soybean seeds. Moreover, results reported here also provide a framework for systemic and large-scale dissection of seed proteome for the seeds rich in SSPs by two-way pre-fractionation combined with TMT-based quantitative proteome analysis.

Introduction : The last decade has yielded significant developments in the field of proteomics, especially in mass spectrometry (MS) and data analysis tools. In particular, a shift from gel-based to MS-based proteomics has been observed, thereby providing a platform with which to construct proteome atlases for all life forms. Nevertheless, the analysis of plant proteomes, especially those of samples that contain high-abundance proteins (HAPs), such as soybean seeds, remains challenging. Areas covered : Here, we review recent progress in soybean seed proteomics and highlight advances in HAPs depletion methods and peptide pre-fractionation, identification, and quantification methods. We also suggest a pipeline for future proteomic analysis, in order to increase the dynamic coverage of the soybean seed proteome. Expert opinion : Because HAPs limit the dynamic resolution of the soybean seed proteome, the depletion of HAPs is a prerequisite of high-throughput proteome analysis, and owing to the use of two-dimensional gel electrophoresis-based proteomic approaches, few soybean seed proteins have been identified or characterized. Recent advances in proteomic technologies, which have significantly increased the proteome coverage of other plants, could be used to overcome the current complexity and limitation of soybean seed proteomics.

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., (Copyright © 2017 Elsevier B.V. All rights reserved.)

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., (Copyright © 2016 Elsevier Ltd. All rights reserved.)

Seed germination is an important aspect of the plant life cycle, during which, reactive oxygen species (ROS) accumulate. The accumulation of ROS results in an increase in protein oxidation of which carbonylation is the most canonical one. However, there is insufficient information concerning protein oxidation, especially carbonylation and its contribution to seed germination. In this study, biotin hydrazide labeled chromatography combined with sequential window acquisition of all theoretical fragment ion spectra (SWATH) method was used to analyze the dynamic pattern of protein carbonylation in rice embryos during germination. A total of 1872 unique proteins were quantified, among which 288 carbonylated peptides corresponding to 144 proteins were determined based on the filtering through mass shifts of modified amino acids. In addition, 66 carbonylated proteins were further analyzed based on their carbonylation intensity in four stages of germination. These identified carbonylated proteins were mainly involved in maintaining the levels of ROS, abscisic acid and seed reserves. Remarkably, a peroxiredoxin was found with 23 unique carbonylated peptides, and the expression of which was consistent with its increased activity. This study describes the dynamic pattern of carbonylated proteins during seed germination, and may help to further understand the biochemical mechanisms on this process., (© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

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.

Seed coat color is an important attribute determining consumption of soybean seeds. Soybean cultivar Mallikong (M) has yellow seed coat while its naturally mutated cultivar Mallikong mutant (MM), has brown colored seed coat. We used integrated proteomics and metabolomics approach to investigate the differences between seed coats of M and MM during different stages of seed development (4, 5, and 6 weeks after flowering). 2DE profiling of total seed coat proteins from three stages showed 178 differentially expressed spots between M and MM of which 172 were identified by MALDI-TOF/TOF. Of these, 62 were upregulated and 105 were downregulated in MM compared with M, while five spots were detected only in MM. Proteins involved in primary metabolism showed downregulation in MM suggesting energy in MM might be utilized for proanthocyanidin biosynthesis via secondary metabolic pathways that leads to the development of brown seed coat color. Besides, downregulation of two isoforms of isoflavone reductase indicated reduced isoflavones in seed coat of MM that was confirmed by quantitative estimation of total and individual isoflavones using HPLC. We propose that low isoflavones level in MM may offer a high substrate for proanthocyanidin production that results in the development of brown seed coat in MM., (© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

The phytohormones gibberellic acid (GA) and abscisic acid (ABA) play essential and often antagonistic roles in regulating plant growth, development, and stress responses. Using a proteomics-based approach, we examined the role of GA and ABA in the modulation of protein expression levels during seed germination. Rice seeds were treated with GA (200 microM), ABA (10 microM), ABA followed by GA, GA followed by ABA, and water as a control and then incubated for 3 days. The embryo was dissected from germinated seeds, and proteins were subjected to 2-DE. Approximately, 665 total protein spots were resolved in the 2-D gels. Among them, 16 proteins notably modulated by either GA or ABA were identified by MALDI-TOF MS. Northern analyses demonstrated that expression patterns of 13 of these 16 genes were consistent with those of the proteome analysis. Further examination of two proteins, rice isoflavone resuctase (OsIFR) and rice PR10 (OsPR10), using Western blot and immunolocalization, revealed that both are specifically expressed in the embryo but not in the endosperm and are dramatically downregulated by ABA.

Seed longevity is a critical characteristic in agriculture, yet the specific genes/proteins responsible for this trait and the molecular mechanisms underlying reduced longevity during seed aging remain largely elusive. Here we report the comparative proteome and metabolome profiling of three rice cultivars exhibiting varying degrees of aging tolerance: Dharial, an aging-tolerant cultivar; Ilmi, an aging-sensitive cultivar; and A2, a moderately aging-tolerant cultivar developed from the crossbreeding of Dharial and Ilmi. Artificial aging treatment (AAT) markedly reduced the germination percentage and enhanced the activities of antioxidant enzymes in all the cultivars. Further, proteomics results showed a key role of the ubiquitin (Ub)-proteasome pathway in the degradation of damaged proteins during AAT while other proteases were majorly reduced. In addition, proteins associated with energy production and protein synthesis were strongly reduced in Ilmi while these were majorly increased in A2 and Dharial. These, along with metabolomics results, suggest that Ub-proteasome mediated protein degradation during AAT results in the accumulation of free amino acids in Ilmi while tolerant cultivars potentially utilize those for energy production and synthesis of stress-related proteins, especially hsp20/alpha-crystallin family protein. Additionally, both Dharial and A2 seem to activate brassinosteroid signaling and suppress jasmonate signaling which initiates a signaling cascade that allows accumulation of enzymatic and non-enzymatic antioxidants for efficient detoxification of aging-induced ROS. Taken together, these results provide an in-depth understanding of the aging-induced changes in rice seeds and highlight key pathways responsible for maintaining seed longevity during AAT. • Proteome and metabolome of aging-sensitive and tolerant rice seeds were evaluated. • Ub-proteasome related proteins were highly induced during aging in all cultivars. • Brassinosteroid signaling seems to be activated in Dharial in response to aging. • Susceptible cultivar showed accumulation of free amino acids during aging. • Dharial activates a more sophisticated antioxidant defense system to withstand aging. [ABSTRACT FROM AUTHOR]