摘要
利用形态学标记、SSR分子标记技术对市场上广泛种植的甜瓜品种进行分类鉴定。利用形态学聚类分析,得到60份材料间的相似系数为0.73-0.94,在相似系数为0.74处,60份甜瓜材料被分为2类,为薄皮甜瓜和厚皮甜瓜;在相似系数为0.77处,薄皮甜瓜按照单果质量、熟性、果皮底色、芳香气分为4组,实现初步分类。经过SSR标记聚类分析,得到60份材料间的相似系数为0.75-0.95,当相似系数为0.77时,可以将所有供试材料分为6类。利用SSR分子标记技术,为60份不同甜瓜品种构建唯一的指纹图谱。18对SSR引物,每对引物可以检测到4-11条数目不等的多态性条带,平均为8条。多态性信息含量（PIC）平均为0.71,变化范围为0.58-0.88。采用QR编码为60份甜瓜材料构建了唯一的指纹图谱。试验结果表明形态学标记对60份材料实现初步分类,SSR分子标记则能够有效地区别60份材料,并且为建立甜瓜品种的核酸指纹图谱库提供了理论数据,实现对甜瓜品种进行快速、准确的鉴定。
Studies on classification and identification of 60 melon（Cucumis melo L.）materials were conducted by SSR marker and Morphological marker. Based on morphological cluster analysis the genetic similarity coefficient of the 60 materials ranged from 0.73-0.94,and at the genetic similarity coefficient of 0.74 these melons could be classified into 2 categories：Cucumis melo ssp. conomon and C. melo ssp. melo. Cucumis melo ssp. conomon could be subdivided into 4 groups,which are preliminarily classified by single fruit weight,peel color,aroma,maturity. The result of SSR cluster analysis showed that the genetic similarity coefficient of the 60 accessions ranged from 0.75-0.95. Also,the test materials could be divided into 6 categories at the genetic similarity coefficient of 0.77. 18 pairs of the SSR primers could detect 4-11 polymorphic bands with an average of 8 bands. The average polymorphism information content（PIC）was 0.71 with the changing range of 0.58-0.88. The fingerprinting effectively distinguished the 60 materials and every accession had unique fingerprinting using QR code.
出处
《中国蔬菜》
北大核心
2014年第6期20-27,共8页
China Vegetables
基金
国家西甜瓜产业技术体系-分子育种岗位项目(CARS-26-02)
关键词
甜瓜
形态学标记
SSR标记
聚类分析
指纹图谱
Melon （Cucumis melo L. ）
Morphological marker
SSR marker
Clustering analysis
Fingerprinting
