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草业学报 ›› 2021, Vol. 30 ›› Issue (7): 72-81.DOI: 10.11686/cyxb2020596

• 研究论文 • 上一篇    下一篇

基于SCoT标记的饲用燕麦品种遗传结构及指纹图谱分析

李进1(), 陈仕勇2,3(), 赵旭1, 田浩琦1, 陈智华2,3, 周青平1   

  1. 1.西南民族大学青藏高原研究院,四川 成都 610041
    2.西南民族大学畜牧兽医学院,四川 成都 610041
    3.动物科学国家民委重点实验室,四川 成都 610041
  • 收稿日期:2020-12-30 修回日期:2021-01-14 出版日期:2021-07-20 发布日期:2021-06-03
  • 通讯作者: 陈仕勇
  • 作者简介:Corresponding author. E-mail: chengshi8827@163.com
    李进(1997-),男,四川南充人,在读硕士。E-mail: lijin921@foxmail.com
  • 基金资助:
    四川省“十四五”饲草育种攻关项目(2021YFYZ0013);西南民族大学中央高校基本科研业务费动物科学国家民委重点实验室专项资金(2020PTJS21);国家牧草产业技术体系(CARS34)

Analysis of genetic structure and fingerprinting in oat varieties based on SCoT markers

Jin LI1(), Shi-yong CHEN2,3(), Xu ZHAO1, Hao-qi TIAN1, Zhi-hua CHEN2,3, Qing-ping ZHOU1   

  1. 1.Institute of Qinghai-Tibetan Plateau,Southwest Minzu University,Chengdu 610041,China
    2.College of Animal & Veterinary Sciences,Southwest Minzu University,Chengdu 610041,China
    3.Key Laboratory of Animal Science of State Ethnic Affairs Commission,Southwest Minzu University,Chengdu 610041,China
  • Received:2020-12-30 Revised:2021-01-14 Online:2021-07-20 Published:2021-06-03
  • Contact: Shi-yong CHEN

摘要:

采用目标起始密码子多态性标记(SCoT)对目前国内种植利用的36个饲用燕麦品种进行了遗传变异结构及指纹图谱分析。结果显示,从80个SCoT引物中筛选出多态性较好、条带清晰且重复性高的引物15个,共扩增出146条条带,不同引物扩增出的多态性条带数为3~9条,平均为6.4条,多态性比率为65.75%,平均有效等位基因数(Ne)为1.46,平均Nei’s基因多样性指数为0.27,平均Shannon’s多样性指数为0.38。基于4个多态性较高的核心引物组扩增的14个位点,构建了36个燕麦品种的DNA指纹图谱,其能够将供试燕麦品种区分并准确鉴定。供试品种的DICE遗传相似性系数为0.7596~0.9507,平均值为0.8473;基于遗传相似系数的非加权组平均法(UPGMA)聚类分析结果显示,可将36个品种分为四大类,聚类与其来源的关联性不高。群体遗传结构分析表明,国外引进品种遗传组成分布均匀,有32.1%的品种具有混合来源,而国内品种分布相对集中且仅有25.0%的品种有混合来源,表明供试的国内种植利用的燕麦品种遗传基础较狭窄,来源相对单一。结果为燕麦品种的鉴定、新品种的选育等提供了理论参考。

关键词: 燕麦, SCoT, 指纹图谱, 遗传结构

Abstract:

The genetic diversity and fingerprinting of 36 forage oat varieties used in China were analyzed using start codon targeted polymorphism markers (SCoT). In this research 15 primers were selected from 80 SCoT primers, and a total of 146 bands were amplified. The number of polymorphic bands amplified by different primers ranged from 3 to 9, with an average of 6.4. The proportion polymorphic bands (PPB) was 65.75%. The average effective number of alleles, and values of Nei’s gene diversity and Shannon’s information index were 1.46, 0.27, and 0.38, respectively. The DNA fingerprints of 36 oat varieties were constructed using 14 sites from 4 core primers, which could identify and discriminate the tested oat varieties efficiently. The DICE genetic similarity coefficient of all tested oat varieties was 0.7596-0.9507, with an average of 0.8473. The unweighted pair group method with arithmetic average cluster analysis based on genetic similarity coefficients showed that the tested varieties could be divided into 4 groups. There was no obvious correlation between genetic similarity and geographical origin. The results of population structure analysis revealed the genetic composition of the oat varieties, and showed that 32.1% of foreign oat varieties have mixed sources, while only 25.0% of Chinese domestic varieties have mixed sources. It also showed that the domestic oat varieties have narrow genetic bases and single genetic components. The results provide genetic data for cultivar identification, and a theoretical foundation for breeding and analysis of genetic relationships of oats.

Key words: oat, SCoT, fingerprinting, genetic structure