作物学报 ›› 2019, Vol. 45 ›› Issue (6): 872-878.doi: 10.3724/SP.J.1006.2019.83067
Hai-Yan LU1,Ling ZHOU1,Feng LIN1,Rui WANG2,Feng-Ge WANG2,Han ZHAO1,*()
摘要:
SNP (Single Nucleotide Polymorphism)在基因组中数量多、分布广, 适用于大规模、自动化基因型检测。本研究利用205份不同来源的玉米自交系全基因组重测序数据鉴定出一系列多态性高的二态性SNP位点并开发出700个KASP分子标记。其中, 202个在46个玉米代表系中得到验证的KASP标记进一步用于系统进化树构建及群体结构分析。结果显示, 开发成功的KASP标记在染色体上分布均匀, 平均PIC为0.463, 平均MAF为0.451。基于KASP标记位点和总SNP位点的聚类分析结果高度吻合。KASP标记位点与总SNP位点的遗传距离相似性系数高达89.5%, 能成功区分玉米的杂种优势群。该KASP标记可在玉米种质资源分析、连锁群构建以及杂种优势群划分等方面发挥重要作用。
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