Allelic Variations at Four Major Maturity E Genes and Transcriptional Abundance of the E1 Gene Are Associated with Flowering Time and Maturity of Soybean Cultivars
文献类型: 外文期刊
作者: Zhai, Hong 1 ; Lu, Shixiang 1 ; Wang, Yueqiang 3 ; Chen, Xin 4 ; Ren, Haixiang 5 ; Yang, Jiayin; Cheng, Wen; Zong, 1 ;
作者机构: 1.Chinese Acad Sci, Northeast Inst Geog & Agroecol, Key Lab Soybean Mol Design Breeding, Harbin, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Jilin Acad Agr Sci, Soybean Res Inst, Changchun, Peoples R China
4.Jiangsu Acad Agr Sci, Nanjing, Jiangsu, Peoples R China
5.Heilongj
期刊名称:PLOS ONE ( 影响因子:3.24; 五年影响因子:3.788 )
ISSN: 1932-6203
年卷期: 2014 年 9 卷 5 期
页码:
收录情况: SCI
摘要: The time to flowering and maturity are ecologically and agronomically important traits for soybean landrace and cultivar adaptation. As a typical short-day crop, long day conditions in the high-latitude regions require soybean cultivars with photoperiod insensitivity that can mature before frost. Although the molecular basis of four major E loci (E1 to E4) have been deciphered, it is not quite clear whether, or to what degree, genetic variation and the expression level of the four E genes are associated with the time to flowering and maturity of soybean cultivars. In this study, we genotyped 180 cultivars at E1 to E4 genes, meanwhile, the time to flowering and maturity of those cultivars were investigated at six geographic locations in China from 2011 to 2012 and further confirmed in 2013. The percentages of recessive alleles at E1, E2, E3 and E4 loci were 38.34%, 84.45%, 36.33%, and 7.20%, respectively. Statistical analysis showed that allelic variations at each of four loci had a significant effect on flowering time as well as maturity. We classified the 180 cultivars into eight genotypic groups based on allelic variations of the four major E loci. The genetic group of e1-nf representing dysfunctional alleles at the E1 locus flowered earliest in all the geographic locations. In contrast, cultivars in the E1E2E3E4 group originated from the southern areas flowered very late or did not flower before frost at high latitude locations. The transcriptional abundance of functional E1 gene was significantly associated with flowering time. However, the ranges of time to flowering and maturity were quite large within some genotypic groups, implying the presence of some other unknown genetic factors that are involved in control of flowering time or maturity. Known genes (e. g. E3 and E4) and other unknown factors may function, at least partially, through regulation of the expression of the E1 gene.
- 相关文献
作者其他论文 更多>>
-
Identification of Gene-Allele System Conferring Alkali-Tolerance at Seedling Stage in Northeast China Soybean Germplasm
作者:Zong, Chunmei;Zhao, Jinming;Wang, Lei;Chen, Zaoye;Wang, Wubin;Gai, Junyi;Zong, Chunmei;Zhao, Jinming;Wang, Lei;Chen, Zaoye;Wang, Wubin;Gai, Junyi;Zong, Chunmei;Zhao, Jinming;Wang, Lei;Chen, Zaoye;Wang, Wubin;Gai, Junyi;Zong, Chunmei;Zhao, Jinming;Wang, Lei;Chen, Zaoye;Wang, Wubin;Gai, Junyi;Zong, Chunmei;Zhao, Jinming;Wang, Lei;Chen, Zaoye;Wang, Wubin;Gai, Junyi;Zong, Chunmei;Zhao, Jinming;Wang, Yanping;Wang, Lei;Qi, Yuxin;Bai, Yanfeng;Li, Wen;Wang, Wubin;Ren, Haixiang;Du, Weiguang;Gai, Junyi
关键词:alkali tolerance; gene-allele matrix; gene-allele sequence marker (GASM); gene function; Northeast China soybean germplasm population (NECSGP); optimal cross design; restricted two-stage multilocus genome-wide association study (RTM-GWAS); soybean (Glycine max (L.) Merr.)
-
Accurately estimate soybean growth stages from UAV imagery by accounting for spatial heterogeneity and climate factors across multiple environments
作者:Che, Yingpu;Gu, Yongzhe;Bai, Dong;Li, Delin;Li, Jindong;Li, Ying-hui;Jin, Xiuliang;Qiu, Li-juan;Che, Yingpu;Li, Jindong;Li, Ying-hui;Jin, Xiuliang;Qiu, Li-juan;Che, Yingpu;Zhao, Chaosen;Wang, Ruizhen;Wang, Qiang;Qiu, Hongmei;Huang, Wen;Yang, Chunyan;Zhao, Qingsong;Liu, Like;Wang, Xing;Xing, Guangnan;Hu, Guoyu;Shan, Zhihui
关键词:Soybean growth stages; Multi-environment trials; Photothermal accumulation area; Spatial heterogeneity; Unmanned aircraft vehicle
-
PH13 improves soybean shade traits and enhances yield for high-density planting at high latitudes
作者:Qin, Chao;Li, Ying-hui;Li, Delin;Lyu, Xiangguang;Ji, Ronghuan;Wei, Xiuzhi;Cheng, Qican;Li, Hongyu;Zhao, Tao;Liu, Jun;Qiu, Li-juan;Liu, Bin;Zhang, Xueru;Kong, Lingping;Kong, Fanjiang;Zhou, Yonggang;Li, Haiyan;Jia, Zhiwei;Li, Xiaojiao;Lu, Yuping;Wang, Qiang;Wang, Yueqiang;Huang, Wen;Yang, Chunyan;Liu, Like;Wang, Xing;Xing, Guangnan;Hu, Guoyu;Shan, Zhihui;Wang, Ruizhen;Hu, Xiping
关键词:
-
Evolutionary Variation of Accumulative Day Length and Accumulative Active Temperature Required for Growth Periods in Global Soybeans
作者:Wang, Can;Liu, Xueqin;Hao, Xiaoshuai;Pan, Yongpeng;Wang, Wubin;Xing, Guangnan;He, Jianbo;Gai, Junyi;Wang, Can;Liu, Xueqin;Hao, Xiaoshuai;Pan, Yongpeng;Wang, Wubin;Xing, Guangnan;He, Jianbo;Gai, Junyi;Wang, Can;Liu, Xueqin;Hao, Xiaoshuai;Pan, Yongpeng;Wang, Wubin;Xing, Guangnan;He, Jianbo;Gai, Junyi;Wang, Can;Liu, Xueqin;Hao, Xiaoshuai;Pan, Yongpeng;Wang, Wubin;Xing, Guangnan;He, Jianbo;Gai, Junyi;Wang, Can;Liu, Xueqin;Hao, Xiaoshuai;Pan, Yongpeng;Wang, Wubin;Xing, Guangnan;He, Jianbo;Gai, Junyi;Wang, Can;Liu, Xueqin;Hao, Xiaoshuai;Pan, Yongpeng;Wang, Wubin;Xing, Guangnan;He, Jianbo;Gai, Junyi;Zong, Chunmei;Zeng, Weiying
关键词:soybean (Glycine max (L.) Merr.); days from sowing to flowering (DSF); days from flowering to maturity (DFM); accumulative day length (ADL); accumulative active temperature (AAT); multiple regression; genetic clustering
-
GmMDE genes bridge the maturity gene E1 and florigens in photoperiodic regulation of flowering in soybean
作者:Zhai, Hong;Wan, Zhao;Xu, Kun;Nan, Haiyang;Xiong, Shangshang;Zhu, Jinlong;Wu, Hongyan;Xia, Zhengjun;Zhai, Hong;Wan, Zhao;Xiong, Shangshang;Jiao, Shuang;Zhou, Jingwen;Liu, Yingxiang;Fan, Rong;Jiang, Wenting;Pang, Tian;Bai, Xi;Luo, Xiao;Yang, Guang;Kong, Fanjiang
关键词:
-
Transgressive Potential Prediction and Optimal Cross Design of Seed Protein Content in the Northeast China Soybean Population Based on Full Exploration of the QTL-Allele System
作者:Feng, Weidan;Fu, Mengmeng;Sang, Ziqian;Wang, Lei;Hao, Xiaoshuai;Sun, Lei;Zhang, Jiaoping;Wang, Wubin;Xing, Guangnan;He, Jianbo;Gai, Junyi;Feng, Weidan;Wang, Lei;Hao, Xiaoshuai;Sun, Lei;Zhang, Jiaoping;Wang, Wubin;Xing, Guangnan;He, Jianbo;Gai, Junyi;Fu, Lianshun;Wang, Yanping;Ren, Haixiang;Du, Weiguang;Gai, Junyi
关键词:Northeast China soybean germplasm population (NECSGP); seed protein content (SPC); restricted two stage multi-locus model GWAS (RTM-GWAS); QTL-allele matrix; optimal cross prediction; transgressive potential
-
Identification and Fine Mapping of a Quantitative Trait Locus Controlling the Total Flower and Pod Numbers in Soybean
作者:Sun, Xia;Pan, Xiangwen;Zhang, Hengyou;Wang, Feifei;Sun, Xiaohuan;Wang, Yanping;Ren, Haixiang
关键词:total flower and pod numbers; pod numbers per plant; qFPN4; fine mapping; near isogenic lines; bulked segregant analysis