Detecting QTL and Candidate Genes for Plant Height in Soybean via Linkage Analysis and GWAS

文献类型： 外文期刊

第一作者： Wang, Jiajing

作者： Wang, Jiajing;Hu, Bo;Guo, Yue;Chen, Jiankun;Liu, Yuxi;Hao, Jianhui;Li, Wen-Xia;Ning, Hailong;Jing, Yuliang;Hu, Xiping

作者机构：

关键词： soybean; plant height; QTL; QTN; candidate genes

期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：6.627； 五年影响因子：7.255 ）

ISSN： 1664-462X

年卷期： 2022 年 12 卷

页码：

收录情况： SCI

摘要： Soybean is an important global crop for edible protein and oil, and plant height is a main breeding goal which is closely related to its plant shape and yield. In this research, a high-density genetic linkage map was constructed by 1996 SNP-bin markers on the basis of a recombinant inbred line population derived from Dongnong L13 x Henong 60. A total of 33 QTL related to plant height were identified, of which five were repeatedly detected in multiple environments. In addition, a 455-germplasm population with 63,306 SNP markers was used for multi-locus association analysis. A total of 62 plant height QTN were detected, of which 26 were detected repeatedly under multiple methods. Two candidate genes, Glyma.02G133000 and Glyma.05G240600, involving in plant height were predicted by pathway analysis in the regions identified by multiple environments and backgrounds, and validated by qRT-PCR. These results enriched the soybean plant height regulatory network and contributed to molecular selection-assisted breeding.

分类号：

  • 相关文献

[1]Detecting QTL and Candidate Genes for Plant Height in Soybean via Linkage Analysis and GWAS. Wang, Jiajing,Hu, Bo,Guo, Yue,Chen, Jiankun,Liu, Yuxi,Hao, Jianhui,Li, Wen-Xia,Ning, Hailong,Jing, Yuliang,Hu, Xiping. 2022

作者其他论文 更多>>

微信小程序