Literature DB >> 29224171

Genetic mapping and validation of the loci controlling 7S α' and 11S A-type storage protein subunits in soybean [Glycine max (L.) Merr.].

Jeffrey D Boehm1, Vi Nguyen2, Rebecca M Tashiro1, Dale Anderson3, Chun Shi3, Xiaoguang Wu3, Lorna Woodrow3, Kangfu Yu3, Yuhai Cui4, Zenglu Li5.   

Abstract

KEY MESSAGE: Four soybean storage protein subunit QTLs were mapped using bulked segregant analysis and an F2 population, which were validated with an F5 RIL population. The storage protein globulins β-conglycinin (7S subunit) and glycinin (11S subunits) can affect the quantity and quality of proteins found in soybean seeds and account for more than 70% of the total soybean protein. Manipulating the storage protein subunits to enhance soymeal nutrition and for desirable tofu manufacturing characteristics are two end-use quality goals in soybean breeding programs. To aid in developing soybean cultivars with desired seed composition, an F2 mapping population (n = 448) and an F5 RIL population (n = 180) were developed by crossing high protein cultivar 'Harovinton' with the breeding line SQ97-0263_3-1a, which lacks the 7S α', 11S A1, 11S A2, 11S A3 and 11S A4 subunits. The storage protein composition of each individual in the F2 and F5 populations were profiled using SDS-PAGE. Based on the presence/absence of the subunits, genomic DNA bulks were formed among the F2 plants to identify genomic regions controlling the 7S α' and 11S protein subunits. By utilizing polymorphic SNPs between the bulks characterized with Illumina SoySNP50K iSelect BeadChips at targeted genomic regions, KASP assays were designed and used to map QTLs causing the loss of the subunits. Soybean storage protein QTLs were identified on Chromosome 3 (11S A1), Chromosome 10 (7S α' and 11S A4), and Chromosome 13 (11S A3), which were also validated in the F5 RIL population. The results of this research could allow for the deployment of marker-assisted selection for desired storage protein subunits by screening breeding populations using the SNPs linked with the subunits of interest.

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Year:  2017        PMID: 29224171     DOI: 10.1007/s00122-017-3027-9

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  25 in total

1.  Molecular analysis of glycinin genes in soybean mutants for development of gene-specific markers.

Authors:  Souframanien Jegadeesan; Kangfu Yu; Lorna Woodrow; Yi Wang; Chun Shi; Vaino Poysa
Journal:  Theor Appl Genet       Date:  2011-09-29       Impact factor: 5.699

2.  Identification of markers linked to disease-resistance genes by bulked segregant analysis: a rapid method to detect markers in specific genomic regions by using segregating populations.

Authors:  R W Michelmore; I Paran; R V Kesseli
Journal:  Proc Natl Acad Sci U S A       Date:  1991-11-01       Impact factor: 11.205

3.  Genetic mapping of Cgdef gene controlling accumulation of 7S globulin (beta-conglycinin) subunits in soybean seeds.

Authors:  Masaki Hayashi; Keisuke Kitamura; Kyuya Harada
Journal:  J Hered       Date:  2009-07-15       Impact factor: 2.645

4.  Introgression of leginsulin, a cysteine-rich protein, and high-protein trait from an Asian soybean plant introduction genotype into a North American experimental soybean line.

Authors:  Hari B Krishnan; Won-Seok Kim; Nathan W Oehrle; Alaa A Alaswad; Ivan Baxter; William J Wiebold; Randall L Nelson
Journal:  J Agric Food Chem       Date:  2015-03-16       Impact factor: 5.279

5.  Developmental regulation of cloned superabundant embryo mRNAs in soybean.

Authors:  R B Goldberg; G Hoschek; G S Ditta; R W Breidenbach
Journal:  Dev Biol       Date:  1981-04-30       Impact factor: 3.582

6.  Urea-Elicited Changes in Relative Electrophoretic Mobility of Certain Glycinin and beta-Conglycinin Subunits.

Authors:  E P Fontes; M A Moreira; C S Davies; N C Nielsen
Journal:  Plant Physiol       Date:  1984-11       Impact factor: 8.340

7.  Molecular evolution of glycinin and β-conglycinin gene families in soybean (Glycine max L. Merr.).

Authors:  C Li; Y-M Zhang
Journal:  Heredity (Edinb)       Date:  2010-07-28       Impact factor: 3.821

8.  Inheritance and Organization of Glycinin Genes in Soybean.

Authors:  T. J. Cho; C. S. Davies; N. C. Nielsen
Journal:  Plant Cell       Date:  1989-03       Impact factor: 11.277

9.  SoyBase, the USDA-ARS soybean genetics and genomics database.

Authors:  David Grant; Rex T Nelson; Steven B Cannon; Randy C Shoemaker
Journal:  Nucleic Acids Res       Date:  2009-12-14       Impact factor: 16.971

10.  Development and evaluation of SoySNP50K, a high-density genotyping array for soybean.

Authors:  Qijian Song; David L Hyten; Gaofeng Jia; Charles V Quigley; Edward W Fickus; Randall L Nelson; Perry B Cregan
Journal:  PLoS One       Date:  2013-01-25       Impact factor: 3.240

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  5 in total

1.  Linkage and association study discovered loci and candidate genes for glycinin and β-conglycinin in soybean (Glycine max L. Merr.).

Authors:  Shanshan Zhang; Hongyang Du; Yujie Ma; Haiyang Li; Guizhen Kan; Deyue Yu
Journal:  Theor Appl Genet       Date:  2021-01-19       Impact factor: 5.699

Review 2.  Advances in the Biology of Seed and Vegetative Storage Proteins Based on Two-Dimensional Electrophoresis Coupled to Mass Spectrometry.

Authors:  Daniel Mouzo; Javier Bernal; María López-Pedrouso; Daniel Franco; Carlos Zapata
Journal:  Molecules       Date:  2018-09-26       Impact factor: 4.411

3.  Genome-wide association study of seed protein, oil and amino acid contents in soybean from maturity groups I to IV.

Authors:  Sungwoo Lee; Kyujung Van; Mikyung Sung; Randall Nelson; Jonathan LaMantia; Leah K McHale; M A Rouf Mian
Journal:  Theor Appl Genet       Date:  2019-02-26       Impact factor: 5.699

4.  Genome-wide association identifies several QTLs controlling cysteine and methionine content in soybean seed including some promising candidate genes.

Authors:  Sidiki Malle; Milad Eskandari; Malcolm Morrison; François Belzile
Journal:  Sci Rep       Date:  2020-12-11       Impact factor: 4.379

5.  Identification and Quantification of Major Faba Bean Seed Proteins.

Authors:  Ahmed O Warsame; Nicholas Michael; Donal M O'Sullivan; Paola Tosi
Journal:  J Agric Food Chem       Date:  2020-07-28       Impact factor: 5.279

  5 in total

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