Shi Weiping, Hao Chenyang, Zhang Yong, Cheng Jingye, Zhang Zheng, Liu Jian, Yi Xin, Cheng Xiaoming, Sun Daizhen, Xu Yanhao, Zhang Xueyong, Cheng Shunhe, Guo Pingyi, Guo Jie
College of Agronomy, Shanxi Agricultural UniversityJinzhong, China.
Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture, The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural SciencesBeijing, China.
Front Plant Sci. 2017 Aug 18;8:1412. doi: 10.3389/fpls.2017.01412. eCollection 2017.
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, , , , and 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.
小麦的每穗粒数（KNPS）是限制产量提高的关键因素。在本研究中，我们使用90K小麦iSelect SNP芯片对一组264个品种以及一个由扬麦13/C615杂交衍生的重组自交系群体进行了基因分型。通过对多个环境下获得的数据进行全基因组关联分析，我们在47个单核苷酸多态性（SNP）位点检测到62个与KNPS显著相关的信号。这些位点分布在19条染色体上，每个位点可解释的表型变异范围为1.53%至39.52%。其中12个（25.53%）位点在多个环境下种植的重组自交系群体中也与KNPS显著相关。例如， 、 、 和 在所有环境中均与KNPS显著相关。我们的研究结果证明了关联作图和连锁分析在KNPS研究中的有效整合，并为将KNPS作为标记辅助选择和基因精细定位的目标性状提供了依据。
