Literature DB >> 11262020

beta-Conglycinin and glycinin in high-protein soybean seeds.

R W Yaklich1.   

Abstract

The agronomic performance and storage proteins of high seed protein lines of soybeans [Glycine max L. (Merr.)] were investigated to determine if the two major storage proteins, beta-conglycinin and glycinin, contribute to the increased protein content of high seed protein lines. Subunits of these two major storage proteins were estimated by scanning SDS-PAGE gels by scanning densitometry. The relative rankings of the lines with respect to seed size and protein content were not different between years in one environment over 5 years, but oil and total protein and oil contents and the ratio of protein to oil differed. The alpha', alpha, and beta subunits of beta-conglycinin were significantly higher in the high-protein lines except CX797-115, CX804-108, CX804-3, D81-8498, and NC-2-62. The acidic A(3) polypeptide of glycinin was significantly higher in high-protein lines except 76-48773, CX804-108, CX804-3, D81-8498, and NC-2-62, whereas the acidic polypeptides A(1,2,4) of glycinin were significantly higher in all of the high-protein lines. The basic polypeptides of glycinin were significantly higher in all high seed protein lines except D81-8259. In conclusion, high-protein lines appear to contain more beta-conglycinin and glycinin than normal-protein soybean lines, and the amounts of subunits and polypeptides differ among lines.

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Year:  2001        PMID: 11262020     DOI: 10.1021/jf001110s

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  12 in total

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3.  Mapping and identification of QTL in 5601T × U99-310255 RIL population using SNP genotyping: soybean seed quality traits.

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4.  Amino acids induce high seed-specific expression driven by a soybean (Glycine max) glycinin seed storage protein promoter.

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5.  Carbon and nitrogen provisions alter the metabolic flux in developing soybean embryos.

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6.  The proteome of seed development in the model legume Lotus japonicus.

Authors:  Svend Dam; Brian S Laursen; Jane H Ornfelt; Bjarne Jochimsen; Hans Henrik Staerfeldt; Carsten Friis; Kasper Nielsen; Nicolas Goffard; Søren Besenbacher; Lene Krusell; Shusei Sato; Satoshi Tabata; Ida B Thøgersen; Jan J Enghild; Jens Stougaard
Journal:  Plant Physiol       Date:  2009-01-07       Impact factor: 8.340

7.  The Glycine max cv. Enrei Genome for Improvement of Japanese Soybean Cultivars.

Authors:  Michihiko Shimomura; Hiroyuki Kanamori; Setsuko Komatsu; Nobukazu Namiki; Yoshiyuki Mukai; Kanako Kurita; Kaori Kamatsuki; Hiroshi Ikawa; Ryoichi Yano; Masao Ishimoto; Akito Kaga; Yuichi Katayose
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9.  Environmental effects on allergen levels in commercially grown non-genetically modified soybeans: assessing variation across north america.

Authors:  Severin E Stevenson; Carlotta A Woods; Bonnie Hong; Xiaoxiao Kong; Jay J Thelen; Gregory S Ladics
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10.  Technical variability of 2D gel electrophoresis - Application to soybean allergens.

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