Project description:Soyfoods have been drawn the interrest in the roles that reducing risk of cardiovascular disease. Among various components, isoflavones have been come to the attention as beneficial soy ingredients. To evaluate the effectiveness of isoflavone content in dietary soybean (Glycine max) on modulating lipid metabolism, hepatic gene expressions involved in lipid metabolism were analyzed in rats. An isoflavone-rich cultivar (Yukipirika) and a conventional cultivar (Fukuyutaka) were employed. A principal component analysis (PCA) of microarray data was used to summarize characteristics of the experimental groups. As a result, the characteristics of the diets were largely explained by the first principal component (PC1). Soybean content in the diets distinctly separated in PC1. In contrast, isoflavone content had little effect on the mRNA expression. The GeneChip data was normalized and summarized by using SuperNORM data service (Skylight Biotech Inc.). Significance of expressional change among groups was tested by 2-way ANOVA on the normalized CEL data, which was deposited in a tab-separated ASCII text format. Principal components were identified on the summarized gene data.
Project description:Soyfoods have been drawn the interrest in the roles that reducing risk of cardiovascular disease. Among various components, isoflavones have been come to the attention as beneficial soy ingredients. To evaluate the effectiveness of isoflavone content in dietary soybean (Glycine max) on modulating lipid metabolism, hepatic gene expressions involved in lipid metabolism were analyzed in rats. An isoflavone-rich cultivar (Yukipirika) and a conventional cultivar (Fukuyutaka) were employed. A principal component analysis (PCA) of microarray data was used to summarize characteristics of the experimental groups. As a result, the characteristics of the diets were largely explained by the first principal component (PC1). Soybean content in the diets distinctly separated in PC1. In contrast, isoflavone content had little effect on the mRNA expression. The GeneChip data was normalized and summarized by using SuperNORM data service (Skylight Biotech Inc.). Significance of expressional change among groups was tested by 2-way ANOVA on the normalized CEL data, which was deposited in a tab-separated ASCII text format. Principal components were identified on the summarized gene data. Male Splague-Dawley rats were randomly divided into 4 groups and fed an experimental diet for 21 days. The experimental diets were as follows: a diet containing 200 g/kg casein (Cas, n=7); a diet containing two proteins derived equally from casein and Fukuyutaka (conventional cultiver soybean) (F10, n=7); a diet containing two proteins derived from casein and Yukipirika (high-isoflavone soybean) in the proportion of three parts to one (Y05, n=7); a diet containing two proteins derived equally from casein and Yukipirika (Y10, n=8). In each of the groups, five rats with average food intake were used for microarray analysis.
Project description:For production of soy-foods or supplements, imbibition of soybean seeds in the water is required step for generation of tofu, soy-milk, and other soy-products. With an aim to get new insight into effects of different imbibition temperature (4, 25, and 55℃), this study conducted integrated proteomics and metabolomics analysis of soybean seeds. For total proteome analysis, we applied TMT labeling based quantitative proteomics combined to FASP (Filter-Aided Sample Preparation) with high-throughput LC-MS/MS. A total of 2,616 proteins were identified out of which 801 proteins showed significantly difference of protein abundance (≥1.5 fold change, Benjamini-Hochberg FDR <0.05) among 4, 25, and 55℃ imbibition seeds. Functional analysis of identified proteins showed an increased abundance of proteins functioning as glycosyl hydrolase enzymes such as beta-glucosidase, alpha and beta-galactosidase, and alpha-mannosidase, or protease, and PTMs related enzymes as well. UPLC TOF-MS analysis showed around 20 fold increase in isoflavone aglycones (daidzein and genistein) while isoflavone glycosides (daidzin and genistin) were decreased in 55℃ imbibition seed, in agreement with proteomics results which we assume positively related to increase abundance of glycosyl hydrolase. A metabolomics analysis revealed 64 metabolites were significantly altered, for example, various free amino acids showed accumulation patterns by increased abundance of various protease enzymes and further confirmed the accumulation of isoflavone aglycones and degradation of raffinose and stachyose in 55℃ imbibition seeds. Based on these results, we recommend the use of 55℃ for soybean seed imbibition to increase the quality of soy-food products.
Project description:Soybean is a rich source of protein and oil and a primary feedstock for biodiesel production. Previous research on soybean indicated that protein, oil and yield are controlled quantitatively in soybean seeds. However, genetic mechanisms controlling seed composition and yield in soybean remain unknown. We used Affymetrix Soybean GeneChips® to identify genes that are differentially expressed between developing seeds of the Minsoy and Archer soybean varieties, which differ in seed weight, yield, protein content and oil content. Some of the differentially expressed genes identified in this study may play important roles in controlling these traits.
Project description:Drought-responsive genes in soybean leaves were successfully identified using Affymetrix Soybean Gene 1.0 ST arrays on leaves samples of reproductive-stage soybean plants. R1 soybean plants planted in pots were imposed drought by withholding water for 5 days until the soil moisture content dropped to 5%, and 3rd trifoliates (now at the R2 stage) were collected for expression profiling. Soybean plants were grown in pots. When the plants reached the R1 stage (started flowering), drought treatment was imposed by withholding water. The soil moisture content was monitored during the process until the 5th day of water withholding, when soil moisture content reached 5%. The 3rd trifoliate (counting from shoots), now at the R2 stage, was collected for total RNA extraction, while other 3rd trifoliates of similar chlorophyl index were collected for leaves water content determination to identify the severity of the stress. Total RNA from 3rd trifoliates were used for expression profiling using Affymetrix Soybean Gene 1.0 ST arrays. Four biological repeats per treatment were performed, three biological repeats were chosen for expression profiling.
Project description:Drought-responsive genes in soybean leaves were successfully identified using Affymetrix Soybean Gene 1.0 ST arrays on leaves samples of reproductive-stage soybean plants. R1 soybean plants planted in pots were imposed drought by withholding water for 5 days until the soil moisture content dropped to 5%, and 3rd trifoliates (now at the R2 stage) were collected for expression profiling.
Project description:Drought-responsive genes in soybean leaves were successfully obtained using soybean gene 1.0 ST array. Leaf samples from the vegetative stage of soybean plants were used. V6 soybean plants planted in the pots were imposed drought by withholding water for 6 days until the soil moisture content drop to 5% and trifolium 4th were collected for expression profiling
Project description:Two soybean near-isogenic lines (NILs) differing in seed protein content were genotyped to determine differential genetic introgressions from the wild relative Glycine soja. The CGH comparison reveals loci that are differentially introgressed between the two lines.
Project description:Melatonin is a well-known agent that plays multiple roles in animals. Its possible function in plants is less clear. In the present study, we tested the effect of melatonin (N-acetyl-5-methoxytryptamine) on soybean growth and development. Both spraying of leaves and seed-coating with melatonin significantly promoted soybean growth as judged from leaf size and plant height. This enhancement was also observed in soybean production and their fatty acid content. Melatonin increased pod number, seed number and seed weight. However, the 100-seed weight was not influenced by melatonin application. Melatonin also improved soybean tolerance to salt and drought stresses. Transcriptome analysis revealed that melatonin up-regulated the expression of many genes and alleviated the inhibitory effects of salt stress on gene expressions. Further detailed analysis of the affected pathways documents that melatonin likely achieved its promotional roles in soybean through enhancement of genes involved in cell division, photosynthesis, carbohydrate metabolism, fatty acid biosynthesis and ascorbate metabolism. Our results demonstrate that melatonin has significant potential for improving of soybean growth and seed production. Further study should uncover more about the molecular mechanisms of melatonin’s function in soybeans and other crops.
Project description:This model is from the article:
Reduction of off-flavor generation in soybean homogenates: a mathematical model.
Mellor N , Bligh F , Chandler I , Hodgman C
J. Food Sci.2010 Sep; 75(7): R131-8; PMID: 2153556,
Abstract:
The generation of off-flavors in soybean homogenates such as n-hexanal via the lipoxygenase (LOX) pathway can be a problem in the processed food industry. Previous studies have examined the effect of using soybean varieties missing one or more of the 3 LOX isozymes on n-hexanal generation. A dynamic mathematical model of the soybean LOX pathway using ordinary differential equations was constructed using parameters estimated from existing data with the aim of predicting how n-hexanal generation could be reduced. Time-course simulations of LOX-null beans were run and compared with experimental results. Model L(2), L(3), and L(12) beans were within the range relative to the wild type found experimentally, with L(13) and L(23) beans close to the experimental range. Model L(1) beans produced much more n-hexanal relative to the wild type than those in experiments. Sensitivity analysis indicates that reducing the estimated K(m) parameter for LOX isozyme 3 (L-3) would improve the fit between model predictions and experimental results found in the literature. The model also predicts that increasing L-3 or reducing L-2 levels within beans may reduce n-hexanal generation. PRACTICAL APPLICATION: This work describes the use of mathematics to attempt to quantify the enzyme-catalyzed conversions of compounds in soybean homogenates into undesirable flavors, primarily from the compound n-hexanal. The effect of different soybean genotypes and enzyme kinetic constants was also studied, leading to recommendations on which combinations might minimize off-flavor levels and what further work might be carried out to substantiate these conclusions.