Literature DB >> 21850478

Major locus and other novel additive and epistatic loci involved in modulation of isoflavone concentration in soybean seeds.

Juan J Gutierrez-Gonzalez1, Tri D Vuong, Rui Zhong, Oliver Yu, Jeong-Dong Lee, Grover Shannon, Mark Ellersieck, Henry T Nguyen, David A Sleper.   

Abstract

Seeds of soybean [Glycine max (L.) Merr.] accumulate more isoflavones than any tissue of any plant species. In other plant parts, isoflavones are usually released to counteract the effects of various biotic and abiotic stresses. Because of the benefits to the plant and positive implications that consumption may have on human health, increasing isoflavones is a goal of many soybean breeding programs. However, altering isoflavone levels through marker-assisted selection (MAS) has been impractical due to the small and often environmentally variable contributions that each individual quantitative trait locus (QTL) has on total isoflavones. In this study, we developed a Magellan × PI 437654 F(7)-RIL population to construct a highly saturated non-redundant linkage map that encompassed 451 SNP and SSR molecular markers and used it to locate genomic regions that govern accumulation of isoflavones in the seeds of soybean. Five QTLs were found that contribute to the concentration of isoflavones, having single or multiple additive effects on isoflavone component traits. We also validated a major locus which alone accounted for up to 10% of the phenotypic variance for glycitein, and 35-37% for genistein, daidzein and the sum of all three soybean isoflavones. This QTL was consistently associated with increased concentration of isoflavones across different locations, years and crosses. It was the most important QTL in terms of net increased amounts of all isoflavone forms. Our results suggest that this locus would be an excellent candidate to target for MAS. Also, several minor QTLs were identified that interacted in an additive-by-additive epistatic manner, to increase isoflavone concentration.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21850478     DOI: 10.1007/s00122-011-1673-x

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


  25 in total

Review 1.  Estimating the genetic architecture of quantitative traits.

Authors:  Z B Zeng; C H Kao; C J Basten
Journal:  Genet Res       Date:  1999-12       Impact factor: 1.588

2.  CARHTA GENE: multipopulation integrated genetic and radiation hybrid mapping.

Authors:  Simon de Givry; Martin Bouchez; Patrick Chabrier; Denis Milan; Thomas Schiex
Journal:  Bioinformatics       Date:  2004-12-14       Impact factor: 6.937

Review 3.  Illumina universal bead arrays.

Authors:  Jian-Bing Fan; Kevin L Gunderson; Marina Bibikova; Joanne M Yeakley; Jing Chen; Eliza Wickham Garcia; Lori L Lebruska; Marc Laurent; Richard Shen; David Barker
Journal:  Methods Enzymol       Date:  2006       Impact factor: 1.600

4.  Mapping the genetic architecture of complex traits in experimental populations.

Authors:  Jian Yang; Jun Zhu; Robert W Williams
Journal:  Bioinformatics       Date:  2007-04-25       Impact factor: 6.937

5.  RNA interference of soybean isoflavone synthase genes leads to silencing in tissues distal to the transformation site and to enhanced susceptibility to Phytophthora sojae.

Authors:  Senthil Subramanian; Madge Y Graham; Oliver Yu; Terrence L Graham
Journal:  Plant Physiol       Date:  2005-03-18       Impact factor: 8.340

6.  Analysis of isoflavone contents in vegetable soybeans.

Authors:  T Mebrahtu; A Mohamed; C Y Wang; T Andebrhan
Journal:  Plant Foods Hum Nutr       Date:  2004       Impact factor: 3.921

7.  Novel quantitative trait loci for broad-based resistance to soybean cyst nematode (Heterodera glycines Ichinohe) in soybean PI 567516C.

Authors:  Tri D Vuong; David A Sleper; James G Shannon; Henry T Nguyen
Journal:  Theor Appl Genet       Date:  2010-06-18       Impact factor: 5.699

8.  Genetic control of soybean seed isoflavone content: importance of statistical model and epistasis in complex traits.

Authors:  Juan Jose Gutierrez-Gonzalez; Xiaolei Wu; Juan Zhang; Jeong-Dong Lee; Mark Ellersieck; J Grover Shannon; Oliver Yu; Henry T Nguyen; David A Sleper
Journal:  Theor Appl Genet       Date:  2009-07-23       Impact factor: 5.699

9.  Identification of QTL underlying isoflavone contents in soybean seeds among multiple environments.

Authors:  Guoliang Zeng; Dongmei Li; Yingpeng Han; Weili Teng; Jian Wang; Liquan Qiu; Wenbin Li
Journal:  Theor Appl Genet       Date:  2009-03-06       Impact factor: 5.699

10.  Intricate environment-modulated genetic networks control isoflavone accumulation in soybean seeds.

Authors:  Juan J Gutierrez-Gonzalez; Xiaolei Wu; Jason D Gillman; Jeong-Dong Lee; Rui Zhong; Oliver Yu; Grover Shannon; Mark Ellersieck; Henry T Nguyen; David A Sleper
Journal:  BMC Plant Biol       Date:  2010-06-11       Impact factor: 4.215

View more
  22 in total

1.  Fine-Mapping and Functional Analyses of a Candidate Gene Controlling Isoflavone Content in Soybeans Seed.

Authors:  Ruiqiong Li; Jianan Zou; Dongming Sun; Yan Jing; Depeng Wu; Ming Lian; Weili Teng; Yuhang Zhan; Wenbin Li; Xue Zhao; Yingpeng Han
Journal:  Front Plant Sci       Date:  2022-04-25       Impact factor: 6.627

2.  Detecting the QTL-allele system of seed isoflavone content in Chinese soybean landrace population for optimal cross design and gene system exploration.

Authors:  Shan Meng; Jianbo He; Tuanjie Zhao; Guangnan Xing; Yan Li; Shouping Yang; Jiangjie Lu; Yufeng Wang; Junyi Gai
Journal:  Theor Appl Genet       Date:  2016-05-17       Impact factor: 5.699

3.  Identification of positive yield QTL alleles from exotic soybean germplasm in two backcross populations.

Authors:  K-S Kim; B W Diers; D L Hyten; M A Rouf Mian; J G Shannon; R L Nelson
Journal:  Theor Appl Genet       Date:  2012-08-07       Impact factor: 5.699

4.  Expression quantitative trait loci infer the regulation of isoflavone accumulation in soybean (Glycine max L. Merr.) seed.

Authors:  Yan Wang; Yingpeng Han; Weili Teng; Xue Zhao; Yongguang Li; Lin Wu; Dongmei Li; Wenbin Li
Journal:  BMC Genomics       Date:  2014-08-13       Impact factor: 3.969

5.  Mapping isoflavone QTL with main, epistatic and QTL × environment effects in recombinant inbred lines of soybean.

Authors:  Yan Wang; Yingpeng Han; Xue Zhao; Yongguang Li; Weili Teng; Dongmei Li; Yong Zhan; Wenbin Li
Journal:  PLoS One       Date:  2015-03-04       Impact factor: 3.240

6.  Acid phosphatase gene GmHAD1 linked to low phosphorus tolerance in soybean, through fine mapping.

Authors:  Zhandong Cai; Yanbo Cheng; Peiqi Xian; Qibin Ma; Ke Wen; Qiuju Xia; Gengyun Zhang; Hai Nian
Journal:  Theor Appl Genet       Date:  2018-05-12       Impact factor: 5.699

7.  Construction of a high-density genetic map based on large-scale markers developed by specific length amplified fragment sequencing (SLAF-seq) and its application to QTL analysis for isoflavone content in Glycine max.

Authors:  Bin Li; Ling Tian; Jingying Zhang; Long Huang; Fenxia Han; Shurong Yan; Lianzheng Wang; Hongkun Zheng; Junming Sun
Journal:  BMC Genomics       Date:  2014-12-10       Impact factor: 3.969

8.  Isoflavone Content of Soybean Cultivars from Maturity Group 0 to VI Grown in Northern and Southern China.

Authors:  Jingying Zhang; Yinan Ge; Fenxia Han; Bin Li; Shurong Yan; Junming Sun; Lianzheng Wang
Journal:  J Am Oil Chem Soc       Date:  2014-03-21       Impact factor: 1.849

9.  Mapping and confirmation of loci for salt tolerance in a novel soybean germplasm, Fiskeby III.

Authors:  Tuyen D Do; Tri D Vuong; David Dunn; Scotty Smothers; Gunvant Patil; Dennis C Yungbluth; Pengyin Chen; Andrew Scaboo; Dong Xu; Thomas E Carter; Henry T Nguyen; J Grover Shannon
Journal:  Theor Appl Genet       Date:  2017-11-18       Impact factor: 5.699

10.  Fine-mapping of QTLs for individual and total isoflavone content in soybean (Glycine max L.) using a high-density genetic map.

Authors:  Zhandong Cai; Yanbo Cheng; Zhuwen Ma; Xinguo Liu; Qibin Ma; Qiuju Xia; Gengyun Zhang; Yinghui Mu; Hai Nian
Journal:  Theor Appl Genet       Date:  2017-11-20       Impact factor: 5.699

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.