不同驯化时期大豆基因型种子、豆粕组成及蛋白质溶解度的研究

IF 1.9 4区 农林科学 Q3 CHEMISTRY, APPLIED
Lina B. Bosaz, Santiago Alvarez Prado, José L. Rotundo, Pablo Mortera, José A. Gerde
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引用次数: 0

摘要

传统上,商业大豆育种的重点是通过杂交优良品种和限制商业种质中的遗传多样性来提高种子产量。野生和祖传大豆基因型的种子蛋白质浓度高于商业基因型。不同的种子蛋白浓度和组成导致豆粕具有不同的功能特性,特别是溶解度对饮料和分离蛋白的生产非常重要。我们研究的目的是(i)表征不同大豆驯化时期(类型)基因型的种子蛋白质浓度和组成,以及(ii)评估从这些基因型获得的脱脂膳食的蛋白质浓度和溶解度特征。在驯化过程中,种子和膳食蛋白质的浓度、组成和溶解度变化明显。野生亲缘(G.soja)和精英基因型的种子蛋白质浓度分别为最高和最低(42.9和36.3 g 100 g−1)。豆粕蛋白质浓度分别为55.1、47.7、48.4和44.1 g 100 g−1分别代表野生亲缘(g.soja)、亚洲陆生种、北美(Nam)祖先和精英。β-伴球蛋白组分,如β、α和α′亚基,以及总缩水甘油及其组分的基因型变异较大。亚洲地方品种的蛋白质溶解度最高。野生和祖先种质是提高大豆种子质量的有用性状库。这项研究为将祖先种质引入专注于蛋白质质量和功能的育种计划打开了大门。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring seed and meal composition and protein solubility in soybean genotypes from different domestication periods

Traditionally, commercial soybean breeding has focused on increasing seed yield by crossing elite cultivars and limiting the genetic diversity within commercial germplasm. Wild and ancestral soybean genotypes have higher seed protein concentrations than commercial ones. Different seed protein concentrations and compositions result in diverse functional properties of soybean meal, in particular solubility is important for beverages and protein isolates production. The objectives of our study were (i) to characterize seed protein concentration and composition in genotypes from different soybean domestication periods (types) and (ii) to evaluate the protein concentration and solubility profiles of the defatted meals obtained from these genotypes. Variation within seed and meal protein concentration, composition, and solubility was evident along the domestication process. Wild relative (G. soja) and Elite genotypes had the maximum and minimum seed protein concentrations, respectively (42.9 and 36.3 g 100 g−1). Soybean meal protein concentrations were 55.1, 47.7, 48.4 and 44.1 g 100 g−1 for Wild relative (G. soja), Asian landraces, North American (Nam) ancestors and Elite, respectively. Ample genotypic variation was observed for β-conglycinin components, such as for β, α, and α′ subunits and for total glycinin and its components. Asian landraces had the highest protein solubility. Wild and ancestral germplasm are a reservoir of useful traits to improve soybean seed quality. This study opens the gates to the introduction of ancestral germplasm to breeding programs focused on protein quality and functionality.

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来源期刊
CiteScore
4.10
自引率
5.00%
发文量
95
审稿时长
2.4 months
期刊介绍: The Journal of the American Oil Chemists’ Society (JAOCS) is an international peer-reviewed journal that publishes significant original scientific research and technological advances on fats, oils, oilseed proteins, and related materials through original research articles, invited reviews, short communications, and letters to the editor. We seek to publish reports that will significantly advance scientific understanding through hypothesis driven research, innovations, and important new information pertaining to analysis, properties, processing, products, and applications of these food and industrial resources. Breakthroughs in food science and technology, biotechnology (including genomics, biomechanisms, biocatalysis and bioprocessing), and industrial products and applications are particularly appropriate. JAOCS also considers reports on the lipid composition of new, unique, and traditional sources of lipids that definitively address a research hypothesis and advances scientific understanding. However, the genus and species of the source must be verified by appropriate means of classification. In addition, the GPS location of the harvested materials and seed or vegetative samples should be deposited in an accredited germplasm repository. Compositional data suitable for Original Research Articles must embody replicated estimate of tissue constituents, such as oil, protein, carbohydrate, fatty acid, phospholipid, tocopherol, sterol, and carotenoid compositions. Other components unique to the specific plant or animal source may be reported. Furthermore, lipid composition papers should incorporate elements of year­to­year, environmental, and/ or cultivar variations through use of appropriate statistical analyses.
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