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Low linolenic soybeans for biodiesel: Characteristics, performance and advantages
(Fuel, 2012-06-16) Santos, Eleonice Moreira; Piovesan, Newton Deniz; Barros, Everaldo Gonçalves de; Moreira, Maurilio Alves
Soybean is one of the main raw materials used for biodiesel production. However, the polyunsaturated fatty acids present in soybean seeds are not desirable for this purpose due to their low oxidative stability. Therefore, it is expected that the use of soybean cultivars with low linolenic acid content for biodiesel production will improve its oxidative stability and the cold filter plugging point (CFPP). This work presents the main characteristics, the advantages and performance of low linolenic acid soybean (LL) as compared to a conventional soybean variety (CO) for biodiesel production. The results showed that LL oil and protein contents were similar to those of CO. Phosphatide concentration was higher in LL oil, while total tocopherol content was lower in relation to CO. With respect to LL biodiesel performance, oxidative stability was much higher than that produced from CO, and the CFPP did not change even with the improved fatty acid profile of LL.
Development of a method to quantify sucrose in soybean grains
(Food Chemistry, 2012-02-15) Teixeira, Arlindo I.; Ribeiro, Lucas F.; Rezende, Sebastião T.; Barros, Everaldo G.; Moreira, Maurílio A.
The sucrose content of soybean seeds affects the final flavor of soy-derived products. The aim of this work was to develop a simple, low-cost, spectrophotometric method for sucrose quantification in soybean seeds. To achieve this goal, we combined the action of invertase, an enzyme that hydrolyses sucrose into fructose and glucose, with glucose oxidase, an enzyme widely used for glucose quantification. This system was adapted to ELISA plates, making large-scale analyses possible at low cost, with potential application in routine analyses. To validate this method, sucrose content was determined in seeds of 14 soybean cultivars by this new method, as well as by HPLC and the enzymatic method of Stitt. The correlation coefficients were high and significant between the results obtained with the new method and the HPLC method (r = 0.9766) and the Stiff method (0.9461).
Quantification of anti-nutritional factors and their correlations with protein and oil in soybeans
(Anais da Academia Brasileira de Ciências, 2015-08-31) Bueno, Rafael D.; Borges, Leandro L.; God, Pedro I.V. Good; Piovesan, Newton D.; Teixeira, Arlindo I.; Cruz, Cosme Damião; Barros, Everaldo G. de
Soybeans contain about 30% carbohydrate, mainly consisting of non-starch polysaccharides (NSP) and oligosaccharides. NSP are not hydrolyzed in the gastrointestinal tract of monogastric animals. These NSP negatively affect the development of these animals, especially the soluble fraction. This work aimed to establish a method to quantify NSP in soybeans, using high performance liquid chromatography (HPLC), and to estimate correlations between NSP, oligosaccharides, protein and oil. Sucrose, raffinose + stachyose, soluble and insoluble NSP contents were determined by HPLC. Oil and protein contents were determined by near-infrared spectroscopy (NIRS). The soluble PNAs content showed no significant correlation with protein, oil, sucrose and raffinose + stachyose contents, but oligosaccharides showed a negative correlation with protein content. These findings open up the possibility of developing cultivars with low soluble NSP content, aiming to develop feed for monogastric animals.
Comprehensive analysis of the endoplasmic reticulum stress response in the soybean genome: conserved and plant-specific features
(BMC Genomics, 2015-10-14) Silva, Priscila Alves; Silva, José Cleydson F.; Caetano, Hanna DN; Machado, Joao Paulo B.; Mendes, Giselle C.; Reis, Pedro AB; Brustolini, Otavio JB; Dal-Bianco, Maximiller; Fontes, Elizabeth PB
Despite the relevance of the eukaryotic endoplasmic reticulum (ER)-stress response as an integrator of multiple stress signals into an adaptive response, knowledge about these ER-mediated cytoprotective pathways in soybean (Glycine max) is lacking. Here, we searched for genes involved in the highly conserved unfolded protein response (UPR) and ER stress-induced plant-specific cell death signaling pathways in the soybean genome. Previously characterized Arabidopsis UPR genes were used as prototypes for the identification of the soybean orthologs and the in silico assembly of the UPR in soybean, using eggNOG v4.0 software. Functional studies were also conducted by analyzing the transcriptional activity of soybean UPR transducers. As a result of this search, we have provided a complete profile of soybean UPR genes with significant predicted protein similarities to A. thaliana UPR-associated proteins. Both arms of the plant UPR were further examined functionally, and evidence is presented that the soybean counterparts are true orthologs of previously characterized UPR transducers in Arabidopsis. The bZIP17/bZI28 orthologs (GmbZIP37 and GmbZIP38) and ZIP60 ortholog (GmbZIP68) from soybean have similar structural organizations as their Arabidopsis counterparts, were induced by ER stress and activated an ERSE- and UPRE-containing BiP promoter. Furthermore, the transcript of the putative substrate of GmIREs, GmbZIP68, harbors a canonical site for IRE1 endonuclease activity and was efficiently spliced under ER stress conditions. In a reverse approach, we also examined the Arabidopsis genome for components of a previously characterized ER stress-induced cell death signaling response in soybean. With the exception of GmERD15, which apparently does not possess an Arabidopsis ortholog, the Arabidopsis genome harbors conserved GmNRP, GmNAC81, GmNAC30 and GmVPE sequences that share significant structural and sequence similarities with their soybean counterparts. These results suggest that the NRP/GmNAC81 + GmNAC30/VPE regulatory circuit may transduce cell death signals in plant species other than soybean. Our in silico analyses, along with current and previous functional data, permitted generation of a comprehensive overview of the ER stress response in soybean as a framework for functional prediction of ER stress signaling components and their possible connections with multiple stress responses.

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