https://www.ahs.ac.cn/images/0513-353X/images/top-banner1.jpg|#|苹果
https://www.ahs.ac.cn/images/0513-353X/images/top-banner2.jpg|#|甘蓝
https://www.ahs.ac.cn/images/0513-353X/images/top-banner3.jpg|#|菊花
https://www.ahs.ac.cn/images/0513-353X/images/top-banner4.jpg|#|灵芝
https://www.ahs.ac.cn/images/0513-353X/images/top-banner5.jpg|#|桃
https://www.ahs.ac.cn/images/0513-353X/images/top-banner6.jpg|#|黄瓜
https://www.ahs.ac.cn/images/0513-353X/images/top-banner7.jpg|#|蝴蝶兰
https://www.ahs.ac.cn/images/0513-353X/images/top-banner8.jpg|#|樱桃
https://www.ahs.ac.cn/images/0513-353X/images/top-banner9.jpg|#|观赏荷花
https://www.ahs.ac.cn/images/0513-353X/images/top-banner10.jpg|#|菊花
https://www.ahs.ac.cn/images/0513-353X/images/top-banner11.jpg|#|月季
https://www.ahs.ac.cn/images/0513-353X/images/top-banner12.jpg|#|菊花

园艺学报 ›› 2015, Vol. 42 ›› Issue (6): 1195-1204.doi: 10.16420/j.issn.0513-353x.2014-0891

• 研究报告 • 上一篇    下一篇

玫瑰自然杂交后代数量分类及SCoT标记研究

王玉,于晓艳,丰震,赵明远,齐宇,赵兰勇   

  1. 山东农业大学林学院,山东泰安 271018
  • 出版日期:2015-06-25 发布日期:2015-06-25
  • 基金资助:
    山东省农业良种工程项目[鲁科农字(2009)103号]

Studies on Numerical Taxonomy and SCoT Marker of Rose Natural Hybrids

WANG Yu, YU Xiao-Yan, FENG Zhen, ZHAO Ming-Yuan, QI Yu, ZHAO Lan-Yong   

  1. College of Forestry,Shandong Agricultural University,Tai’an,Shandong 271018,China
  • Online:2015-06-25 Published:2015-06-25

摘要: 利用数量分类和SCoT分子标记两种方法对40个玫瑰自然杂交后代进行分类、遗传多样性研究。数量分类将40个玫瑰自然杂交后代分为5类:第一类包括Z1、Z15等20个样品,主要特征为花色粉色至深粉,重瓣花,花萼不反卷,花梗刺着生均匀;第二类包括Z10、Z17等6个样品,主要特征为花色紫红,单瓣花,花萼反卷,花梗刺分布均匀;第三类包括Z12、Z38等12个样品,主要特征为花色浅粉至粉,重瓣花,花萼不反卷,花梗刺着生位置多为中下部;Z11和Z34分别为第四类和第五类,主要区别特征为花色,分别为浅黄和白色。SCoT分子标记筛选出的20条引物共扩增出426条带,多态性条带379条,多态性比例为88.97%。选用UPMGA法对供试样本进行聚类分析,聚类结果将40个玫瑰自然杂交后代分为5类,与数量分类结果基本一致。数量分类和SCoT分子标记方法对本项研究适宜可行,40个玫瑰自然杂交后代遗传多样性表现丰富,亲本来源的多样性使得玫瑰的分类体系与之前研究结果相比增加了2个类系。本研究为科学利用玫瑰自然杂交后代和培育玫瑰新品种提供理论依据。

关键词: 玫瑰, 自然杂交后代, 数量分类, SCoT分子标记, 聚类分析

Abstract: Classfication,genentic diversity of forty rose natural hybrids were studied with the two methods:Numerical taxonomy and SCoT molecular marker. Forty rose natural hybrids were divided into 5 groups by numerical taxonomy. The first group included Z1 and Z15 in all total of 20 samples,the main characteristics were that the color of petals were pink to deep pink,multiplicate flower,coil of calyces were no,and the stalk thoms were even;The second group included Z10 and Z17 in all total of 6 samples,the main characteristics were that the color of petals were purple,single flower,coil of calyces were yes,and the stalk thoms were even;The third group included Z12 and Z38 in all total of 12 samples,the main characteristics were that the color of petals were light pink to pink,multiplicate flower,coil of calyces were no,and the stalk thoms were underside;Z11 was the fourth group and Z34 was the fifth,the main different charactersitic was the color of petals,yellow and white respectively. A total of 426 bands were generated from 20 SCoT primers that had been selected by SCoT,of which 379 bands hadpolymorphism. The percentage of polymorphic bands was 88.97%. UPMGA was selected for cluster analysising in SCoT molecular marker,40 rose natural hybrids also had been divided into 5 groups. The results of numerical taxonomy and SCoT cluster analysis were similar. The two selected methods,numerical taxonomy and SCoT molecular marker were fit for this study. The classification result of 40 rose natural hybrids was scientific and reliable. Forty rose natural hybrids had abundant genetic diversity. Diversity of the parental origin made the rose classification system increase 2 groups compared with the previous results. It could provide a theoretical basis for the scientific utilization of rose natural hybrids and for cultivating new rose varieties.

Key words: Rosa rugosa, natural hybrid, numerical taxonomy, SCoT molecular marker, cluster analysis

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