A Combined Association Mapping and Linkage Analysis of Kernel Number Per Spike in Common Wheat (Triticum aestivum L.)

文献类型： 外文期刊

第一作者： Shi, Weiping

作者： Shi, Weiping;Zhang, Zheng;Sun, Daizhen;Guo, Pingyi;Guo, Jie;Hao, Chenyang;Zhang, Xueyong;Zhang, Yong;Liu, Jian;Yi, Xin;Cheng, Xiaoming;Cheng, Shunhe;Cheng, Jingye;Xu, Yanhao;Xu, Yanhao

作者机构：

关键词： bi-parental population analysis;GWAS;iSelect wheat 90K SNP chip

期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：5.753； 五年影响因子：6.612 ）

ISSN： 1664-462X

年卷期： 2017 年 8 卷

页码：

收录情况： SCI

摘要： Kernel number per spike (KNPS) in wheat is a key factor that limits yield improvement. In this study, we genotyped a set of 264 cultivars, and a RIL population derived from the cross Yangmai 13/C615 using the 90 K wheat iSelect SNP array. We detected 62 significantly associated signals for KNPS at 47 single nucleotide polymorphism (SNP) loci through genome-wide association analysis of data obtained from multiple environments. These loci were on 19 chromosomes, and the phenotypic variation attributable to each one ranged from 1.53 to 39.52%. Twelve (25.53%) of the loci were also significantly associated with KNPS in the RIL population grown in multiple environments. For example, BS00022896_51-2ATT, BobWhite_c10539_201-2DAA, Excalibur_c73633_120-3BGG, and Kukri_c35508_426-7DTT were significantly associated with KNPS in all environments. Our findings demonstrate the effective integration of association mapping and linkage analysis for KNPS, and underpin KNPS as a target trait for marker-assisted selection and genetic fine mapping.

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