Metabolite profiling of isoflavones and anthocyanins in black soybean [Glycine max (L.) Merr.] seeds by HPLC-MS and geographical differentiation analysis in Southwest China

2017 ◽  
Vol 9 (5) ◽  
pp. 792-802 ◽  
Author(s):  
Hai-jun Wu ◽  
Jun-cai Deng ◽  
Cai-qiong Yang ◽  
Jing Zhang ◽  
Qing Zhang ◽  
...  
Keyword(s):  
Glycine Max ◽  
Statistical Analysis ◽  
Metabolite Profiling ◽  
Southwest China ◽  
Geographical Origin ◽  
Soybean Seeds ◽  
Geographical Differentiation ◽  
Multivariate Statistical ◽  
Black Soybean ◽  
Glycine Max L

Twelve isoflavones and eight anthocyanins were quantified in black soybean seeds by HPLC-MS analyses; the coupled OPLS-DA multivariate statistical analysis helped us to determine their geographical origin.

Application of targeted1H NMR profiling to assess the seed vitality of soybean [Glycine max (L.) Merr.]

2017 ◽  
Vol 9 (11) ◽  
pp. 1792-1799 ◽  
Author(s):  
Wen-Ting Qin ◽  
Cai-qiong Yang ◽  
Nasir Iqbal ◽  
Jun-cai Deng ◽  
Jing Zhang ◽  
...  
Keyword(s):  
Glycine Max ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Soybean Seed ◽  
Multivariate Statistical ◽  
H Nmr ◽  
Glycine Max L

A targeted1H NMR profiling method was developed for the simultaneous qualitation and quantitation of metabolites in soybean seed, and coupled PLS-DA multivariate statistical analysis helped us to assess seed vitality.

scholarly journals Metabolomic-Based Comparison of Traditional and Industrial Doenjang Samples with Antioxidative Activities

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1377
Author(s):  
Song-Hui Soung ◽  
Sunmin Lee ◽  
Seung-Hwa Lee ◽  
Hae-Jin Kim ◽  
Na-Rae Lee ◽  
...  
Keyword(s):  
Amino Acids ◽  
Statistical Analysis ◽  
Organic Acids ◽  
Biogenic Amines ◽  
Multivariate Statistical Analysis ◽  
Metabolite Profiling ◽  
New Products ◽  
Multivariate Statistical ◽  
Fermentation Processes

Numerous varieties of doenjang are manufactured by many food companies using different ingredients and fermentation processes, and thus, the qualities such as taste and flavor are very different. Therefore, in this study, we compared many products, specifically, 19 traditional doenjang (TD) and 17 industrial doenjang (ID). Subsequently, we performed non-targeted metabolite profiling, and multivariate statistical analysis to discover distinct metabolites in two types of doenjang. Amino acids, organic acids, isoflavone aglycones, non-DDMP (2,3-dihydro-2,5-dihydroxy-6-methyl-4H-pyran-4- one) soyasaponins, hydroxyisoflavones, and biogenic amines were relatively abundant in TD. On the contrary, contents of dipeptides, lysophospholipids, isoflavone glucosides and DDMP-conjugated soyasaponin, precursors of the above-mentioned metabolites, were comparatively higher in ID. We also observed relatively higher antioxidant, protease, and β-glucosidase activities in TD. Our results may provide valuable information on doenjang to consumers and manufacturers, which can be used while selecting and developing new products.

scholarly journals The Nutritional Value and Safety of Genetically Unmodified Soybeans and Soybean Feed Products in the Nutrition of Farm Animals

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1105
Author(s):  
Małgorzata Świątkiewicz ◽  
Kamil Witaszek ◽  
Ewa Sosin ◽  
Krzysztof Pilarski ◽  
Beata Szymczyk ◽  
...  
Keyword(s):  
Glycine Max ◽  
Nutritional Value ◽  
Urease Activity ◽  
Basic Protein ◽  
Press Cake ◽  
Farm Animals ◽  
Soybean Seeds ◽  
Lower Content ◽  
Glycine Max L ◽  
Protein Feed

Post-extraction soybean (Glycine max (L.) Merr.) meal is widely used as a basic protein feed for farm animals, especially poultry and pigs. Products made from unmodified soybean seeds are an alternative to imported GMO soybean meal. The aim of the study was to develop feed products from popular European varieties of genetically unmodified soybeans, which can be produced on small and medium-sized farms, and to assess their nutritional value and safety to livestock. The research was conducted on the seeds of three soybean varieties and two types of feed products resulting from thermobaric treatment (extrudate) and oil pressing (soybean press cake). The mould and yeast contamination of domestic seeds was negligible. The thermobaric and pressing treatments lowered the content of fungi by 97%. The products were considered free from mycotoxins. In comparison with full-fat soybean seeds, the protein content in the products was up to 19% higher, and 92% of the total lysine remained available. The products had lower content of antinutritional ingredients (trypsin inhibitors) and the urease activity was reduced by 52–59% and 99%, respectively. The experiment showed that the European genetically unmodified soybean feed products were characterised by good quality, mycotoxicological purity and high nutritional value for farm animals.

scholarly journals Prioritization and Evaluation of Flooding Tolerance Genes in Soybean [Glycine max (L.) Merr.]

2021 ◽  
Vol 11 ◽  
Author(s):  
Mu-Chien Lai ◽  
Zheng-Yuan Lai ◽  
Li-Hsin Jhan ◽  
Ya-Syuan Lai ◽  
Chung-Feng Kao
Keyword(s):  
Glycine Max ◽  
Genome Wide Association Study ◽  
Meta Analysis ◽  
Soybean Seeds ◽  
Flooding Tolerance ◽  
Big Data Mining ◽  
Genome Wide ◽  
Glycine Max L ◽  
Mapping Gene ◽  
Selection Of

Soybean [Glycine max (L.) Merr.] is one of the most important legume crops abundant in edible protein and oil in the world. In recent years there has been increasingly more drastic weather caused by climate change, with flooding, drought, and unevenly distributed rainfall gradually increasing in terms of the frequency and intensity worldwide. Severe flooding has caused extensive losses to soybean production and there is an urgent need to breed strong soybean seeds with high flooding tolerance. The present study demonstrates bioinformatics big data mining and integration, meta-analysis, gene mapping, gene prioritization, and systems biology for identifying prioritized genes of flooding tolerance in soybean. A total of 83 flooding tolerance genes (FTgenes), according to the appropriate cut-off point, were prioritized from 36,705 test genes collected from multidimensional genomic features linking to soybean flooding tolerance. Several validation results using independent samples from SoyNet, genome-wide association study, SoyBase, GO database, and transcriptome databases all exhibited excellent agreement, suggesting these 83 FTgenes were significantly superior to others. These results provide valuable information and contribution to research on the varieties selection of soybean.

scholarly journals EMERGÊNCIA E SOBREVIVÊNCIA DE PLANTAS DE SOJA A CAMPO EM RELAÇÃO ÀS PROFUNDIDADES E ÉPOCAS DE SEMEADURA

2020 ◽  
Vol 35 (2) ◽  
pp. 150-157
Author(s):  
Patrícia Pereira Dias ◽  
Saulo Fernando Gomes de Sousa ◽  
Paulo Roberto Arbex Silva ◽  
Tiago Pereira da Silva Correia ◽  
Anderson Ravanny de Andrade Gomes
Keyword(s):  
Glycine Max ◽  
Statistical Analysis ◽  
Field Experiment ◽  
Analysis Of Variance ◽  
Early Stage ◽  
Soybean Seed ◽  
Sowing Depth ◽  
Tukey Test ◽  
Glycine Max L ◽  
Soil Deposition

A PROFUNDIDADE DE SEMEADURA DA SOJA NA PLANTABILIDADE   PATRÍCIA PEREIRA DIAS1*, SAULO FERNANDO GOMES DE SOUSA2, PAULO ROBERTO ARBEX SILVA3, TIAGO PEREIRA DA SILVA CORREIA4 e ANDERSON RAVANNY DE ANDRADE GOMES5   * Parte do texto foi extraído da tese da autora 1 Departamento de Produção Vegetal, Universidade Estadual Paulista ‘Júlio de Mesquita Filho’ - Av. Universitária, 3780 - Altos do Paraíso, 18610-034, Botucatu - SP, Brasil. [email protected] 2 Agroefetiva, Rua Lourival Ferreira, 11 - Distrito Industrial III, 18608-853, Botucatu - SP, Brasil.  [email protected] 3 Departamento de Engenharia Rural e Socioeconomia, Universidade Estadual Paulista ‘Júlio de Mesquita Filho’ - Av. Universitária, 3780 - Altos do Paraíso, 18610-034, Botucatu - SP, Brasil.  [email protected] 4 Faculdade de Agronomia e Medicina Veterinária, Universidade de Brasília, Caixa - Campos Universitário Darci Ribeiro ICC – Asa Norte, 04508, Brasília - DF, Brasil. [email protected] 5 Faculdade Regional da Bahia, Rodovia AL 220, 3630 - Senador Arnon De Melo - Planalto, Arapiraca – AL, Brasil. [email protected]   RESUMO: O objetivo deste trabalho foi avaliar a cultura da soja semeada a campo em diferentes profundidades das sementes e épocas de semeadura e, dessa maneira, saber o quanto esses fatores influenciam a emergência e sobrevivência das plantas. O experimento foi conduzido em dois anos agrícolas, 2015/16 e 2016/17, com sementes de soja cultivar 5D634, na Fazenda Lageado, da Faculdade de Ciências Agronômicas – UNESP, Botucatu (SP), Brasil. O delineamento foi de blocos ao acaso em esquema fatorial 6 × 2, com seis tratamentos referentes às profundidades das sementes na mesma linha de semeadura: 0,02, 0,05 e 0,08 m do nível do solo, e combinação e alternância entre eles: 0,02 e 0,05, 0,02 e 0,08, 0,05 e 0,08 m e duas épocas de semeadura: outubro e novembro, com quatro repetições, totalizando 48 parcelas. Para a análise estatística, os dados foram submetidos à análise de variância (ANOVA), utilizando o teste de Tukey a 5% de probabilidade. A perda foi acima de 10% no estande de plantas na semeadura mais profunda (0,08 m), aliada à menor precipitação (outubro/2016), que contribuiu significativamente para esse resultado. Desta forma, a plantabilidade é prejudicada com o erro da profundidade de semeadura, aqui representada pela emergência e sobrevivência de plantas.   Palavras-chave: Glycine max L., Plantabilidade, Estande de plantas.   THE SOYBEAN SOWING DEPTH IN PLANTABILITY   ABSTRACT: The aim of this work was evaluate the sowing of soybean seed with error in soil deposition and different month of sowing. The field experiment was carried out during two years (2015 and 2016) at Fazenda Lageado, Faculty of Agronomic Sciences - UNESP / Botucatu - SP, Brazil. The plots were randomized blocks in 6 × 2 factorial, six treatments referring to the depth of the seeds in soil: 0.02 (T1); 0.05 (T2 - control) and 0.08 (T3); 0.02 and 0.05 (T4); 0.02 and 0.08 (T5); 0.05 and 0.08 m (T6) and two sowing times: October and November. For statistical analysis the data were submitted to analysis of variance (ANOVA) using Tukey test at 5% probability. The number of plants in early stage decreased by over 10% in the deep seeding (0.08 m), added to the less rainfall (October / 2016) which contributed significantly to this result. Therefore, plantability is damaged by the error of sowing depth, represented here by the emergence and survival of plants.   Keywords: Glycine max L., Plantability, Early stage.

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