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基于高通量测序开发玉米高效KASP分子标记

Development of efficient KASP molecular markers based on high throughput sequencing in maize

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【作者】 陆海燕周玲林峰王蕊王凤格赵涵

【Author】 LU Hai-Yan;ZHOU Ling;LIN Feng;WANG Rui;WANG Feng-Ge;ZHAO Han;Provincial Key Laboratory of Agrobiology/Jiangsu Academy of Agricultural Sciences;Maize Research Center,Beijing Academy of Agriculture and Forestry Sciences;

【通讯作者】 赵涵;

【机构】 江苏省农业科学院/江苏省农业生物学重点实验室北京市农林科学院玉米研究中心

【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。

【Abstract】 SNP(Single Nucleotide Polymorphism) which is abundant and dispersed widely in the genome is suitable for large-scale and automated genotyping. In this study, highly polymorphic bi-allelic SNP loci were screened and 700 KASP(Kompetitive Allele Specific PCR) molecular markers were developed based on resequencing data of 205 diverse maize inbred lines. Among them, 202 KASP markers validated by 46 representative lines were further used for phylogenetic tree construction and genetic structure analysis. The validated KASP markers distributed evenly on 10 chromosomes in maize with an average PIC of 0.463 and an average MAF of 0.451. The phylogenetic tree constructed by KASP markers is highly consistent with that by re-sequencing data. In addition, the genetic similarity coefficient evaluated between KASP loci and the total SNP loci achieved 89.5% which demonstrated the availability of KASP in heterotic group division. These findings suggest that 202 KASP markers play an important role in analysis of germplasm resource, construction of genetic map, and division of heterotic group in maize.

【关键词】 玉米重测序KASP标记种质资源
【Key words】 maizeresequencingKASP markersgermplasm
【基金】 国家重点研发计划项目(2017YFD0101205,2017YFD0102005);江苏省农业科技自主创新项目[CX(18)1001]资助~~
  • 【文献出处】 作物学报 ,Acta Agronomica Sinica , 编辑部邮箱 ,2019年06期
  • 【分类号】S513
  • 【网络出版时间】2019-03-01 08:56
  • 【被引频次】7
  • 【下载频次】1079
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