Literature DB >> 35618938

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

Mia Cunicelli1, Bode A Olukolu2, Carl Sams3, Liesel Schneider4, Dennis West3, Vincent Pantalone3.   

Abstract

BACKGROUND: Molecular markers have played and will continue to play a major role in the genetic characterization and improvement of soybeans. They have helped identify major loci for tolerance to abiotic stressors, disease resistance, herbicide resistance, soybean seed quality traits, and yield. However, most yield quantitative trait loci (QTL) are specific to a certain population, and the genetic variation found in the specific bi-parental population is not always shared in other populations. A major objective in soybean breeding is to develop high yielding cultivars. Unfortunately, soybean seed yield, as well as protein and oil content, are complex quantitative traits to characterize from the phenotypic and genotypic perspectives. The objectives of this study are to detect soybean genomic regions that increase protein content, while maintaining oil content and seed yield and to successfully identify soybean QTL associated with these seed quality traits. METHODS AND
RESULTS: To achieve these objectives, data from the 138 recombinant inbred lines grown in six environments were used to perform QTL detection analyses in search of significant genomic regions affecting soybean seed protein, oil, and yield.
CONCLUSIONS: A total of 21 QTL were successfully identified for yield, protein, oil, methionine, threonine, lodging, maturity, and meal. Knowledge of their locations and flanking markers will aid in marker assisted selection for plant breeders. This will lead to a more valuable soybean for farmers, processors, and animal nutritionists.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Quantitative trait loci (QTL); Soybean meal; Soybean oil; Soybean protein

Mesh:

Year:  2022        PMID: 35618938     DOI: 10.1007/s11033-022-07505-y

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.742


  16 in total

1.  The genomes of recombinant inbred lines.

Authors:  Karl W Broman
Journal:  Genetics       Date:  2004-11-15       Impact factor: 4.562

2.  Design and construction of recombinant inbred lines.

Authors:  Daniel A Pollard
Journal:  Methods Mol Biol       Date:  2012

3.  RFLP analysis of soybean seed protein and oil content.

Authors:  B W Diers; P Keim; W R Fehr; R C Shoemaker
Journal:  Theor Appl Genet       Date:  1992-03       Impact factor: 5.699

Review 4.  Nutritional and health benefits of soy proteins.

Authors:  M Friedman; D L Brandon
Journal:  J Agric Food Chem       Date:  2001-03       Impact factor: 5.279

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

Authors:  R W Yaklich
Journal:  J Agric Food Chem       Date:  2001-02       Impact factor: 5.279

6.  Identification of glycinin and beta-conglycinin subunits that contribute to the increased protein content of high-protein soybean lines.

Authors:  Hari B Krishnan; Savithiry S Natarajan; Ahmed A Mahmoud; Randall L Nelson
Journal:  J Agric Food Chem       Date:  2007-02-01       Impact factor: 5.279

7.  Nutritional value of soybean meal produced from conventional, high-protein, or low-oligosaccharide varieties of soybeans and fed to broiler chicks.

Authors:  K M Baker; P L Utterback; C M Parsons; H H Stein
Journal:  Poult Sci       Date:  2011-02       Impact factor: 3.352

8.  Genetic control of soybean seed oil: II. QTL and genes that increase oil concentration without decreasing protein or with increased seed yield.

Authors:  Mehrzad Eskandari; Elroy R Cober; Istvan Rajcan
Journal:  Theor Appl Genet       Date:  2013-03-28       Impact factor: 5.699

9.  Genetic control of soybean seed oil: I. QTL and genes associated with seed oil concentration in RIL populations derived from crossing moderately high-oil parents.

Authors:  Mehrzad Eskandari; Elroy R Cober; Istvan Rajcan
Journal:  Theor Appl Genet       Date:  2012-11-29       Impact factor: 5.699

10.  High-throughput SNP discovery through deep resequencing of a reduced representation library to anchor and orient scaffolds in the soybean whole genome sequence.

Authors:  David L Hyten; Steven B Cannon; Qijian Song; Nathan Weeks; Edward W Fickus; Randy C Shoemaker; James E Specht; Andrew D Farmer; Gregory D May; Perry B Cregan
Journal:  BMC Genomics       Date:  2010-01-15       Impact factor: 3.969

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