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

Article scientifique 2017 Anglais

Résumé

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 90K wheat iSelect SNP array. We detected 62 significantly associated signals for kernel number per spike (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 1.53-39.52%. 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 kernel number per spike, and underpin KNPS as a target trait for marker-assisted selection and genetic fine mapping.

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Shi, W., Hao, C., Zhang, Y., Cheng, J., Zhang, Z., Liu, J., Yi, X., Cheng, X., Sun, D., Xu, Y., Zhang, X., Cheng, S., Guo, P., Guo, J. (2017). A Combined Association Mapping and Linkage Analysis of Kernel Number Per Spike in Common Wheat (Triticum aestivum L.). https://doi.org/10.3389/fpls.2017.01412

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Auteur(s)

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

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