Literature DB >> 20816387

Identification of genomic regions determining flower and pod numbers development in soybean (Glycine max L.).

Dan Zhang1, Hao Cheng, Hui Wang, Hengyou Zhang, Chunying Liu, Deyue Yu.   

Abstract

Flower and pod numbers per plant are important agronomic traits underlying soybean yield. So far quantitative trait loci (QTL) detected for flower and pod-related traits have mainly focused on the final stage, and might therefore have ignored genetic effects expressed during a specific developmental stage. Here, dynamic expressions of QTL for flower and pod numbers were identified using 152 recombinant inbred lines (RILs) and a linkage map of 306 markers. Wide genetic variation was found among RILs; 17 unconditional and 18 conditional QTL were detected for the two traits at different developmental stages over two years. Some QTL were detected only at one stage and others across two or more stages, indicating that soybean flower and pod numbers development may be governed by time-dependent gene expression. Three main QTL (qfn-Chr18-2, qfn-Chr20-1, and qfn-Chr19) were detected for flower number, and two main QTL (qpn-Chr11 and qpn-Chr20) were detected for pod number. The phenotypic variation explained by them ranged from 6.1% to 34.7%. The markers linked to these QTL could be used in marker-assisted selection for increasing soybean flower and pod numbers, with the ultimate aim of increasing soybean yield. Comparison of the QTL regions for flower and pod numbers traits with the related genes reported previously showed that seven and four related genes were located in the QTL regions of qfn-Chr11 and qfn-Chr19, respectively. These results provide a basis for fine mapping and cloning of flower and pod development-related genes.

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Year:  2010        PMID: 20816387     DOI: 10.1016/S1673-8527(09)60074-6

Source DB:  PubMed          Journal:  J Genet Genomics        ISSN: 1673-8527            Impact factor:   4.275


  19 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.  QTLs position of some important ornamental traits in recently developed OO lily population.

Authors:  Younes Pourbeyrami Hir; SuXia Yuan; Mousa Torabi Giglou; Ming Jun
Journal:  Physiol Mol Biol Plants       Date:  2019-09-07

3.  Quantitative trait loci analysis of individual and total isoflavone contents in soybean seeds.

Authors:  Hai Jun Zhang; Jing Wen Li; Ya Jing Liu; Wen Zhu Jiang; Xing Lin Du; Lin Li; Xiao Wei Li; Lian Tai Su; Qing Yu Wang; Ying Wang
Journal:  J Genet       Date:  2014-08       Impact factor: 1.166

4.  Mapping QTLs for yield and nitrogen-related traits in wheat: influence of nitrogen and phosphorus fertilization on QTL expression.

Authors:  Yunfeng Xu; Ruifang Wang; Yiping Tong; Huatian Zhao; Qingen Xie; Dongcheng Liu; Aimin Zhang; Bin Li; Hongxing Xu; Diaoguo An
Journal:  Theor Appl Genet       Date:  2013-09-27       Impact factor: 5.699

5.  Impacts of nucleotide fixation during soybean domestication and improvement.

Authors:  Shancen Zhao; Fengya Zheng; Weiming He; Haiyang Wu; Shengkai Pan; Hon-Ming Lam
Journal:  BMC Plant Biol       Date:  2015-03-08       Impact factor: 4.215

6.  Genome-wide genetic dissection of germplasm resources and implications for breeding by design in soybean.

Authors:  Junyi Gai; Lei Chen; Yinghu Zhang; Tuanjie Zhao; Guangnan Xing; Han Xing
Journal:  Breed Sci       Date:  2012-02-04       Impact factor: 2.086

7.  QTL mapping and epistatic interaction analysis in asparagus bean for several characterized and novel horticulturally important traits.

Authors:  Pei Xu; Xiaohua Wu; Baogen Wang; Tingting Hu; Zhongfu Lu; Yonghua Liu; Dehui Qin; Sha Wang; Guojing Li
Journal:  BMC Genet       Date:  2013-02-02       Impact factor: 2.797

8.  Fingerprinting Soybean Germplasm and Its Utility in Genomic Research.

Authors:  Qijian Song; David L Hyten; Gaofeng Jia; Charles V Quigley; Edward W Fickus; Randall L Nelson; Perry B Cregan
Journal:  G3 (Bethesda)       Date:  2015-07-28       Impact factor: 3.154

9.  Molecular footprints of domestication and improvement in soybean revealed by whole genome re-sequencing.

Authors:  Ying-hui Li; Shan-cen Zhao; Jian-xin Ma; Dong Li; Long Yan; Jun Li; Xiao-tian Qi; Xiao-sen Guo; Le Zhang; Wei-ming He; Ru-zhen Chang; Qin-si Liang; Yong Guo; Chen Ye; Xiao-bo Wang; Yong Tao; Rong-xia Guan; Jun-yi Wang; Yu-lin Liu; Long-guo Jin; Xiu-qing Zhang; Zhang-xiong Liu; Li-juan Zhang; Jie Chen; Ke-jing Wang; Rasmus Nielsen; Rui-qiang Li; Peng-yin Chen; Wen-bin Li; Jochen C Reif; Michael Purugganan; Jian Wang; Meng-chen Zhang; Jun Wang; Li-juan Qiu
Journal:  BMC Genomics       Date:  2013-08-28       Impact factor: 3.969

10.  Mapping quantitative trait loci for yield-related traits in soybean (Glycine max L.).

Authors:  Hamidreza Dargahi; Patcharin Tanya; Prakit Somta; Jun Abe; Peerasak Srinives
Journal:  Breed Sci       Date:  2014-12-01       Impact factor: 2.086

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