Literature DB >> 34899770

Identification of Finely Mapped Quantitative Trait Locus and Candidate Gene Mining for the Three-Seeded Pod Trait in Soybean.

Candong Li1,2,3, Hongwei Jiang4, Yingying Li5, Chunyan Liu3, Zhaoming Qi3, Xiaoxia Wu3, Zhanguo Zhang3, Zhenbang Hu3, Rongsheng Zhu3, Tai Guo1, Zhixin Wang1, Wei Zheng1, Zhenyu Zhang1, Haihong Zhao1, Nannan Wang1,3, Dapeng Shan3, Dawei Xin3, Feishi Luan2, Qingshan Chen3.   

Abstract

The three-seeded pod number is an important trait that positively influences soybean yield. Soybean variety with increased three-seeded pod number contributes to the seed number/plant and higher yield. The candidate genes of the three-seeded pod may be the key for improving soybean yield. In this study, identification and validation of candidate genes for three-seeded pod has been carried out. First, a total of 36 quantitative trait locus (QTL) were detected from the investigation of recombinant inbred lines including 147 individuals derived from a cross between Charleston and Dongning 594 cultivars. Five consensus QTLs were integrated. Second, an introgressed line CSSL-182 carrying the target segment for the trait from the donor parent was selected to verify the consensus QTL based on its phenotype. Third, a secondary group was constructed by backcrossing with CSSL-182, and two QTLs were confirmed. There were a total of 162 genes in the two QTLs. The mining of candidate genes resulted in the annotation of eight genes with functions related to pod and seed sets. Finally, haplotype analysis and quantitative reverse transcriptase real-time PCR were carried to verify the candidate genes. Four of these genes had different haplotypes in the resource group, and the differences in the phenotype were highly significant. Moreover, the differences in the expression of the four genes during pod and seed development were also significant. These four genes were probably related to the development process underlying the three-seeded pod in soybean. Herein, we discuss the past and present studies related to the three-seeded pod trait in soybean.
Copyright © 2021 Li, Jiang, Li, Liu, Qi, Wu, Zhang, Hu, Zhu, Guo, Wang, Zheng, Zhang, Zhao, Wang, Shan, Xin, Luan and Chen.

Entities:  

Keywords:  QTL fine mapping; candidate genes analysis; gene function identification; soybean; three seeded pods

Year:  2021        PMID: 34899770      PMCID: PMC8663486          DOI: 10.3389/fpls.2021.715488

Source DB:  PubMed          Journal:  Front Plant Sci        ISSN: 1664-462X            Impact factor:   5.753


  38 in total

1.  Identification of QTLs for seed and pod traits in soybean and analysis for additive effects and epistatic effects of QTLs among multiple environments.

Authors:  Zhe Yang; Dawei Xin; Chunyan Liu; Hongwei Jiang; Xue Han; Yanan Sun; Zhaoming Qi; Guohua Hu; Qingshan Chen
Journal:  Mol Genet Genomics       Date:  2013-12       Impact factor: 3.291

2.  Global gene expression profiles in developing soybean seeds.

Authors:  Tomiko Asakura; Tomoko Tamura; Kaede Terauchi; Tomoyo Narikawa; Kazuhiro Yagasaki; Yoshiro Ishimaru; Keiko Abe
Journal:  Plant Physiol Biochem       Date:  2011-12-30       Impact factor: 4.270

3.  Global Regulation of Embryonic Patterning in Arabidopsis by MicroRNAs.

Authors:  William F Seefried; Matthew R Willmann; Rachel L Clausen; Pablo D Jenik
Journal:  Plant Physiol       Date:  2014-05-01       Impact factor: 8.340

4.  Overexpression of SlREV alters the development of the flower pedicel abscission zone and fruit formation in tomato.

Authors:  Guojian Hu; Jing Fan; Zhiqiang Xian; Wei Huang; Dongbo Lin; Zhengguo Li
Journal:  Plant Sci       Date:  2014-09-02       Impact factor: 4.729

5.  Seedless fruits and the disruption of a conserved genetic pathway in angiosperm ovule development.

Authors:  Jorge Lora; José I Hormaza; María Herrero; Charles S Gasser
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-14       Impact factor: 11.205

6.  Genome-wide analysis of the YABBY family in soybean and functional identification of GmYABBY10 involvement in high salt and drought stresses.

Authors:  Shu-Ping Zhao; Dan Lu; Tai-Fei Yu; Yu-Jie Ji; Wei-Jun Zheng; Shuang-Xi Zhang; Shou-Cheng Chai; Zhan-Yu Chen; Xi-Yan Cui
Journal:  Plant Physiol Biochem       Date:  2017-08-30       Impact factor: 4.270

Review 7.  Unique and conserved features of floral evocation in legumes.

Authors:  Lim Chee Liew; Mohan B Singh; Prem L Bhalla
Journal:  J Integr Plant Biol       Date:  2014-04-15       Impact factor: 7.061

8.  Transcriptional regulation of early embryo development in the model legume Medicago truncatula.

Authors:  Sergey Kurdyukov; Youhong Song; Michael B Sheahan; Ray J Rose
Journal:  Plant Cell Rep       Date:  2013-11-22       Impact factor: 4.570

9.  A high-density genetic map for soybean based on specific length amplified fragment sequencing.

Authors:  Zhaoming Qi; Long Huang; Rongsheng Zhu; Dawei Xin; Chunyan Liu; Xue Han; Hongwei Jiang; Weiguo Hong; Guohua Hu; Hongkun Zheng; Qingshan Chen
Journal:  PLoS One       Date:  2014-08-12       Impact factor: 3.240

10.  Identification and Validation of Loci Governing Seed Coat Color by Combining Association Mapping and Bulk Segregation Analysis in Soybean.

Authors:  Jian Song; Zhangxiong Liu; Huilong Hong; Yansong Ma; Long Tian; Xinxiu Li; Ying-Hui Li; Rongxia Guan; Yong Guo; Li-Juan Qiu
Journal:  PLoS One       Date:  2016-07-12       Impact factor: 3.240

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