Literature DB >> 24861102

Identification and validation of quantitative trait loci for seed yield, oil and protein contents in two recombinant inbred line populations of soybean.

Xianzhi Wang1, Guo-Liang Jiang, Marci Green, Roy A Scott, Qijian Song, David L Hyten, Perry B Cregan.   

Abstract

Soybean seeds contain high levels of oil and protein, and are the important sources of vegetable oil and plant protein for human consumption and livestock feed. Increased seed yield, oil and protein contents are the main objectives of soybean breeding. The objectives of this study were to identify and validate quantitative trait loci (QTLs) associated with seed yield, oil and protein contents in two recombinant inbred line populations, and to evaluate the consistency of QTLs across different environments, studies and genetic backgrounds. Both the mapping population (SD02-4-59 × A02-381100) and validation population (SD02-911 × SD00-1501) were phenotyped for the three traits in multiple environments. Genetic analysis indicated that oil and protein contents showed high heritabilities while yield exhibited a lower heritability in both populations. Based on a linkage map constructed previously with the mapping population and using composite interval mapping and/or interval mapping analysis, 12 QTLs for seed yield, 16 QTLs for oil content and 11 QTLs for protein content were consistently detected in multiple environments and/or the average data over all environments. Of the QTLs detected in the mapping population, five QTLs for seed yield, eight QTLs for oil content and five QTLs for protein content were confirmed in the validation population by single marker analysis in at least one environment and the average data and by ANOVA over all environments. Eight of these validated QTLs were newly identified. Compared with the other studies, seven QTLs for seed yield, eight QTLs for oil content and nine QTLs for protein content further verified the previously reported QTLs. These QTLs will be useful for breeding higher yield and better quality cultivars, and help effectively and efficiently improve yield potential and nutritional quality in soybean.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24861102     DOI: 10.1007/s00438-014-0865-x

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  13 in total

1.  A new integrated genetic linkage map of the soybean.

Authors:  Q J Song; L F Marek; R C Shoemaker; K G Lark; V C Concibido; X Delannay; J E Specht; P B Cregan
Journal:  Theor Appl Genet       Date:  2004-02-27       Impact factor: 5.699

2.  Quantitative trait loci in Two Soybean Recombinant Inbred Line Populations Segregating for Yield and Disease Resistance.

Authors:  J. Yuan; V. N. Njiti; K. Meksem; M. J. Iqbal; K. Triwitayakorn; My. A. Kassem; G. T. Davis; M. E. Schmidt; D. A. Lightfoot
Journal:  Crop Sci       Date:  2002-01       Impact factor: 2.319

Review 3.  Soybean oil: genetic approaches for modification of functionality and total content.

Authors:  Tom E Clemente; Edgar B Cahoon
Journal:  Plant Physiol       Date:  2009-09-25       Impact factor: 8.340

4.  Introgression of a quantitative trait locus for yield from Glycine soja into commercial soybean cultivars.

Authors:  V C Concibido; B La Vallee; P McLaird; N Pineda; J Meyer; L Hummel; J Yang; K Wu; X Delannay
Journal:  Theor Appl Genet       Date:  2002-09-04       Impact factor: 5.699

5.  Validation of mega-environment universal and specific QTL associated with seed yield and agronomic traits in soybeans.

Authors:  Laura Palomeque; Li-Jun Liu; Wenbin Li; Bradley R Hedges; Elroy R Cober; Mathew P Smid; Lewis Lukens; Istvan Rajcan
Journal:  Theor Appl Genet       Date:  2009-12-11       Impact factor: 5.699

6.  Identification of putative QTL that underlie yield in interspecific soybean backcross populations.

Authors:  D Wang; G L Graef; A M Procopiuk; B W Diers
Journal:  Theor Appl Genet       Date:  2003-09-19       Impact factor: 5.699

7.  Seed quality QTL in a prominent soybean population.

Authors:  D L Hyten; V R Pantalone; C E Sams; A M Saxton; D Landau-Ellis; T R Stefaniak; M E Schmidt
Journal:  Theor Appl Genet       Date:  2004-06-24       Impact factor: 5.699

8.  RFLP loci associated with soybean seed protein and oil content across populations and locations.

Authors:  S H Lee; M A Bailey; M A Mian; T E Carter; E R Shipe; D A Ashley; W A Parrott; R S Hussey; H R Boerma
Journal:  Theor Appl Genet       Date:  1996-10       Impact factor: 5.699

9.  Seed and agronomic QTL in low linolenic acid, lipoxygenase-free soybean (Glycine max (L.) Merrill) germplasm.

Authors:  Yarmilla Reinprecht; Vaino W Poysa; Kangfu Yu; Istvan Rajcan; Gary R Ablett; K Peter Pauls
Journal:  Genome       Date:  2006-12       Impact factor: 2.166

10.  QTL in mega-environments: I. Universal and specific seed yield QTL detected in a population derived from a cross of high-yielding adapted x high-yielding exotic soybean lines.

Authors:  Laura Palomeque; Liu Li-Jun; Wenbin Li; Bradley Hedges; Elroy R Cober; Istvan Rajcan
Journal:  Theor Appl Genet       Date:  2009-05-22       Impact factor: 5.699

View more
  20 in total

1.  Introgression of novel genetic diversity to improve soybean yield.

Authors:  J M Hegstad; R L Nelson; S Renny-Byfield; L Feng; J M Chaky
Journal:  Theor Appl Genet       Date:  2019-06-17       Impact factor: 5.699

2.  Impact of seed protein alleles from three soybean sources on seed composition and agronomic traits.

Authors:  Lillian F Brzostowski; Timothy I Pruski; James E Specht; Brian W Diers
Journal:  Theor Appl Genet       Date:  2017-08-09       Impact factor: 5.699

3.  Identification of Major Quantitative Trait Loci for Seed Oil Content in Soybeans by Combining Linkage and Genome-Wide Association Mapping.

Authors:  Yongce Cao; Shuguang Li; Zili Wang; Fangguo Chang; Jiejie Kong; Junyi Gai; Tuanjie Zhao
Journal:  Front Plant Sci       Date:  2017-07-12       Impact factor: 5.753

4.  Comparison of Genetic Diversity between Chinese and American Soybean (Glycine max (L.)) Accessions Revealed by High-Density SNPs.

Authors:  Zhangxiong Liu; Huihui Li; Zixiang Wen; Xuhong Fan; Yinghui Li; Rongxia Guan; Yong Guo; Shuming Wang; Dechun Wang; Lijuan Qiu
Journal:  Front Plant Sci       Date:  2017-11-30       Impact factor: 5.753

5.  Characterization of Genetic Basis on Synergistic Interactions between Root Architecture and Biological Nitrogen Fixation in Soybean.

Authors:  Yongqing Yang; Qingsong Zhao; Xinxin Li; Wenqin Ai; Dong Liu; Wandong Qi; Mengchen Zhang; Chunyan Yang; Hong Liao
Journal:  Front Plant Sci       Date:  2017-08-23       Impact factor: 5.753

6.  Meta-Analyses of QTLs Associated with Protein and Oil Contents and Compositions in Soybean [Glycine max (L.) Merr.] Seed.

Authors:  Kyujung Van; Leah K McHale
Journal:  Int J Mol Sci       Date:  2017-06-01       Impact factor: 5.923

7.  Genetic dissection of yield-related traits via genome-wide association analysis across multiple environments in wild soybean (Glycine soja Sieb. and Zucc.).

Authors:  Dezhou Hu; Huairen Zhang; Qing Du; Zhenbin Hu; Zhongyi Yang; Xiao Li; Jiao Wang; Fang Huang; Deyue Yu; Hui Wang; Guizhen Kan
Journal:  Planta       Date:  2020-01-06       Impact factor: 4.116

8.  Nested association mapping of important agronomic traits in three interspecific soybean populations.

Authors:  Eduardo Beche; Jason D Gillman; Qijian Song; Randall Nelson; Tim Beissinger; Jared Decker; Grover Shannon; Andrew M Scaboo
Journal:  Theor Appl Genet       Date:  2020-01-23       Impact factor: 5.699

9.  Comprehensive quantification of triacylglycerols in soybean seeds by electrospray ionization mass spectrometry with multiple neutral loss scans.

Authors:  Maoyin Li; Emily Butka; Xuemin Wang
Journal:  Sci Rep       Date:  2014-10-10       Impact factor: 4.379

10.  Identification and Verification of QTL Associated with Frost Tolerance Using Linkage Mapping and GWAS in Winter Faba Bean.

Authors:  Ahmed Sallam; Mustapha Arbaoui; Mohamed El-Esawi; Nathan Abshire; Regina Martsch
Journal:  Front Plant Sci       Date:  2016-08-04       Impact factor: 5.753

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.