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Quantitative trait loci for β-conglycinin (7S) and glycinin (11S) fractions of soybean storage protein

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Journal of the American Oil Chemists' Society

Abstract

Glycinin (11S) and β-conglycinin (7S) are important seed storage proteins in soybean [Glycine max (L.) Merr.]. A major limitation of soybean seed storage proteins is their low levels of the sulfur-containing amino acids, methionine and cysteine, which are important nutritional components of protein mea. Glycinin contains significantly more S-containing amino acids than does β-conglycinin. Thus, detection of quantitative trait loci (QTL) that govern 11S may provide marker-assisted selection (MAS) opportunities to improve soybean total S-containing amino acids. The objective of this study was to detect and map QTL governing 7S and 11S fractions of soybean seed storage proteins. To achieve this objective, 101 F6-derived recombinant inbred lines (RIL) developed from a cross of N87-984-16 ×TN93-99 were used. Storage proteins were extracted from all RIL and separated in 10–20% linear gradient polyacrylamide gels. Dried gels were scanned for individual subunits of storage protein with a densitometer equipped with a He−Ne laser light source. Data were converted to concentration for each subunit component and analyzed using SAS software. A significant (P<0.05) difference among genotypes was found for glycinin and β-conglycinin. A total of 94 polymorphic simple sequence repeat molecular genetic markers were used in screening all RIL. Three QTL for glycinin (Satt461, Satt292, and Satt156) were distributed on linkage group (LG) D2, I, and L, respectively, whereas two QTL for conglycinin (Satt461 and Satt249) were distributed on LG D2 and J. Phenotypic variation explained by individual QTL ranged from 9.5 to 22%. These QTL may provide useful MAS opportunities for improvement of nutritional quality in soybean.

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References

  1. Clarke, E.J., and J. Wiseman, Developments in Plant Breeding for Improved Nutritional Quality of Soybeans I. Protein and Amino Acids Content, J. Agric. Sci. 134:111–124 (2000).

    Article  CAS  Google Scholar 

  2. Tsukada, Y., K. Kitamura, K. Harada, and N. Kaizuma, Genetic Analysis of Two Major Sub-units (β-conglycinin and glycinin) in Soybean Seeds, Jpn. J. Soybean 36:390–400 (1986).

    CAS  Google Scholar 

  3. Yagasaki, K., T. Takagi, M. Sakai, and K. Kitamura, Biochemical Characterization of Soybean Protein Consisting of Different Subunits of Glycinin, J. Agric. Food Chem. 45:656–660 (1997).

    Article  CAS  Google Scholar 

  4. Kitamura, K., Genetic Improvement of Nutrition and Food Processing Quality in Soybean, Jpn. Agric. Res. Quart 29:1–8 (1995).

    Google Scholar 

  5. Ogawa, T., E. Tayama, K. Kitamura, and N. Kaizama, Genetic Improvement of Seed Storage Proteins Using Three Variant Alleles of 7S Globulin Sub-Unit in Soybean (Glycine max L.), Jpn. J. Breeding 39:137–147 (1989).

    CAS  Google Scholar 

  6. Kitagawa, S., M. Ishimoto, F. Kikuchi, and K. Kitamura, A Characteristic Lacking or Decreasing Remarkably 7S Globulin Sub-unit Induced with X-Ray Irradiation in Soybean Seeds, 41:460–461 (1991).

    Google Scholar 

  7. Takahashi, K., Y. Mizumo, S. Yumoto, K. Kitamura, and S. Nakamura, Inheritance of the α-Sub-unit Deficiency of β-Conglycinin in Soybean (Glycine max L.) Line Induced by γ-Ray Irradiation, Breeding Sci. 46:251–255 (1996).

    CAS  Google Scholar 

  8. Yaklich, R.W., β-Conglycinin and Glycinin in High-Protein Soybean Seeds, J. Agric. Food Chem. 49:729–735 (2001).

    Article  CAS  Google Scholar 

  9. Nielsen, N.C., C.D. Dickinson, T.J. Cho, V.H. Thanh, B.J. Scallon, R.L. Fischer, T.L. Sims, G.N. Drews, and R.B. Goldberg, Characterization of the Glycinin Gene Family in Soybean, Plant Cell 1:313–328 (1989).

    Article  CAS  Google Scholar 

  10. Harada, J.J., S.J. Barker, and R.B. Goldberg, Soybean β-Conglycinin Genes Are Clustered in Several DNA Regions and Are Regulated by Transcriptional and Posttranscriptional Processes, 1:415–425 (1989).

    Article  CAS  Google Scholar 

  11. Hayashi, M., M. Nishioka, K. Kitamura, and K. Harada, Identification of AFLP Markers Tightly Linked to the Gene for Deficiency of the 7S Globulin in Soybean Seed and Characterization of Abnormal Phenotypes Involved in the Mutation, Breeding Sci. 50:123–129 (2000).

    Google Scholar 

  12. Kitamura, K., and N. Kaizuma, Mutant Strains with Low Level of Subunits of 7S Globulin in Soybean (Glycine max Merr.) Seed, Jpn. J. Breeding 31:353–359 (1981).

    CAS  Google Scholar 

  13. Mandal, S., and R. Mandal, Seed Storage Proteins and Approaches for Improvement of Their Nutritional Quality by Genetic Engineering, Curr. Sci. 79:576–589 (2000).

    CAS  Google Scholar 

  14. Kwanyuen, P., V.R. Pantalone, J.W. Burton, and R.F. Wilson, A New Approach to Genetic Alteration of Soybean Protein Composition and Quality, J. Am. Oil Chem. Soc. 74:983–987 (1997).

    CAS  Google Scholar 

  15. Liu, K., Soybeans: Chemistry, Technology and Utilization, Chapman and Hall, London, 1997, pp. 478–523.

    Google Scholar 

  16. Burton, J.W., T.E. Carter, and R.F. Wilson, Registration of Prolina Soybean, Crop Sci. 39:294–295 (1999).

    Article  Google Scholar 

  17. Luck, P., T. Lanier, C. Daubert, R.F. Wilson, and P. Kwanyuen, Functionality and Visoelastic Behavior of Prolina Soybean Isolate, in Oilseed Processing and Utilization, edited by R.F. Wilson, AOCS Press, Champaign, 2001, pp. 197–202.

    Google Scholar 

  18. Pantalone, V.R., F.L. Allen, and D. Landau-Ellis, Registration of ‘Tn93-99’ Soybean Germplasm, Crop Sci. 43:1137 (2003).

    Article  Google Scholar 

  19. Bradford, M.M., A Rapid and Sensitive Method for the Quantitation of Microgram Quantities of Protein Utilizing the Principle of Protein-Dye Binding, Anal. Biochem. 2:248–254 (1976).

    Article  Google Scholar 

  20. Chua, N.H., Electrophoretic Analysis of Chloroplast Proteins, Methods Enzymol. 69:434–446 (1980).

    Article  CAS  Google Scholar 

  21. Kwanyuen, P., and R.F. Wilson, Optimization of Coomassie Staining for Quantitative Densitometry of Soybean Storage Proteins in Gradient Gel Electrophoresis, J. Am. Oil Chem. Soc. 77:1251–1254 (2000).

    CAS  Google Scholar 

  22. Cregan, P.B., T. Jarvik, A.L. Bush, R.C. Shoemaker, K.G. Lark, A.L. Kahler, N. Kaya, T.T. VanToai, D.G. Lohnes, and J. Chung, An Integrated Genetic Linkage Map of the Soybean Genome, Crop Sci. 39:1464–1490 (1999).

    Article  CAS  Google Scholar 

  23. SAS Guide for Personal Computers, SAS Institute, Cary, NC, 2000.

  24. Krishnan, H.B., Biochemistry and Molecular Biology of Soybean Seed Storage Proteins, J. New Seeds 2:1–25 (2000).

    Article  Google Scholar 

  25. Wilson, R.F., Current Research on Oilseeds, in Institute of Food Technologists 1996 Symposium: Identity-Preserved Oils, symposium held at the annual meeting of the Institute of Food Technologists, New Orleans, 1996.

  26. So, E., Y. Chae, Y. Kim, and Y. MH, Variation of 7S and 11S Seed Protein Concentrations in Different Food Types of Soybean Seed, Korean J. Crop Sci. 44:350–354 (1999).

    Google Scholar 

  27. Fehr, W.R., J.A. Hoeck, S.L. Johnson, P.A. Murphy, J.D. Nott, G.I. Padilla, and G.A. Welke, Genotype and Environment Influence on Protein Components of Soybean, Crop Sci. 43:511–514 (2003).

    Article  CAS  Google Scholar 

  28. Brummer, E.C., G.L. Graef, J. Orf, J.R. Wilcox, and R.C. Shoemaker, Mapping QTL for Seed Protein and Oil Content in Eight Soybean Populations, 37:370–378 (1997).

    Article  Google Scholar 

  29. Stuber, C., S. Lincoln, D. Wolff, T. Helentjaris, and E. Lander, Identification of Genetic Factors Contributing to Heterosis in a Hybrid from Two Elite Maize Inbred Lines Using Molecular Markers, Genetics, 132:823–839 (1992).

    CAS  Google Scholar 

  30. Qiu, B.X., P.R. Arelli, and D.A. Sleper, RFLP Markers Associated with Soybean Cyst Nematode Resistance and Seed Composition in a ‘Peking’בEssex’ Population, Theor. Appl. Genet. 98:356–364 (1999).

    Article  CAS  Google Scholar 

  31. Cho, T.J., C.S. Davies, and N.C. Nielsen, Inheritance and Organization of Glycinin Genes in Soybean, Plant Cell 1:329–337 (1989).

    Article  CAS  Google Scholar 

  32. Beilinson, V., Z. Chen, R.C. Shoemaker, R.L. Fischer, R.B. Goldberg, and N.C. Nielsen, Genomic Organization of Glycinin Genes in Soybean, Theor. Appl. Genet. 104:1132–1140 (2002).

    Article  CAS  Google Scholar 

  33. Nielsen, N., Soybean Seed Composition, in Soybean: Genetics, Molecular Biology and Biotechnology, edited by D. Verma, and R. Shoemaker, CAB International, Wallingford, 1996, pp. 127–163.

    Google Scholar 

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Correspondence to V. R. Pantalone.

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Panthee, D.R., Kwanyuen, P., Sams, C.E. et al. Quantitative trait loci for β-conglycinin (7S) and glycinin (11S) fractions of soybean storage protein. J Amer Oil Chem Soc 81, 1005–1012 (2004). https://doi.org/10.1007/s11746-004-1014-4

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  • DOI: https://doi.org/10.1007/s11746-004-1014-4

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