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作物学报 ›› 2017, Vol. 43 ›› Issue (05): 718-729.doi: 10.3724/SP.J.1006.2017.00718

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

马铃薯品种遗传多样性分析

段绍光,金黎平*,李广存,卞春松,徐建飞,胡军,屈冬玉   

  1. 中国农业科学院蔬菜花卉研究所 / 农业部薯类作物生物学和遗传育种重点实验室,北京 100081
  • 收稿日期:2016-10-18 修回日期:2017-01-21 出版日期:2017-05-12 网络出版日期:2017-02-20
  • 通讯作者: 金黎平, E-mail: jinliping@caas.cn
  • 基金资助:

    本研究由国家“十二五”科技支撑计划项目(2012BAD02B05)和国家现代农业产业技术体系建设专项(CARS10)资助。

Genetic Diversity Analysis of Potato varieties

DUAN Shao-Guang,JIN Li-Ping*,LI Guang-Cun,BIAN Chun-Song,XU Jian-Fei,HU Jun,QU Dong-Yu   

  1. Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences / Key Laboratory of Biology and Genetic Improvement of Tuber and Root Crop, Ministry of Agriculture, Beijing 100081, China
  • Received:2016-10-18 Revised:2017-01-21 Published:2017-05-12 Published online:2017-02-20
  • Contact: Jin Liping, E-mail: jinliping@caas.cn
  • Supported by:

    The work was supported by the National Key Technology Support Program of China during the Twelfth Five-year Plan Period (2012BAD02B05) and the China Agriculture Research System (CARS10).

摘要:

基于16个田间表型性状对454份马铃薯材料进行UPGMA聚类分析表明,在欧氏距离14.66处所有参试材料可以被聚成2个类群A1和A。在欧氏距离12.74处类群A1又可以被分为2个亚群A11和A12。在欧氏距离11.73处全部参试材料可以被划成9个类群,包括4个小类(A、B、C和H)和五个大类(D、E、F、G和I),其中类群I所包括的材料占总数的57.5%,该结果可较准确地揭示马铃薯不同材料之间的形态差异,区分生态类型不同和遗传差异明显的亲本。利用SSR标记对559份国内外不同来源的马铃薯栽培品种进行遗传多样性分析发现,用36对多态性引物共可检测出134个多态性位点,每对引物的等位变异为1~7个,平均为3.72个,引物多态性信息量(PIC)为0.1545~0.7743,平均为0.5783,说明品种间较丰富的遗传多样性。同时,NJ系统进化树分析表明,559份马铃薯栽培种材料可分为3个大群。类群I为一个混合群,各地区品种均有分布,包括133份马铃薯材料,占总数的23.8%;类群II中欧洲、北美及中国东北和西北地区的材料所占比重较大,数量为187,占33.5%;类群III中北美、南美以及中国东北和西南地区马铃薯材料所占比重较大,包含239份材料,占42.8%。表型性状聚类与SSR分子标记聚类结果相似,均与地理位置有很大相关性,应结合共同用于评价马铃薯品种遗传多样性。

关键词: 马铃薯, 种质资源, 农艺性状, SSR, 遗传多样性

Abstract:

Based on the 16 phenotype traits, we performed UPGMA cluster analysis for 454 potato accessions. All the accessions were grouped into two clusters A1 and A at the Euclidean distance of 14.66. The cluster A1 was further grouped into two subclusters A11 and A12 at the Euclidean distance of 12.74. All the accessions were grouped into nine clusters (A, B, C, H, D, E, F, G, and I) at the Euclidean distance of 11.73, and the cluster I was the biggest group, accounting for 57.5% of all the accessions. The cluster analysis more accurately revealed the morphological difference among potato materials, and distinguished the parental materials with different ecological types and genetic differences. Meanwhile, the genetic diversity of 559 potato accessions from worldwide was analyzed with 36 pairs of SSR primers. A total of 134 polymorphic alleles were amplified. Polymorphic alleles were amplified by each pair of primer ranging from one to seven, with a mean of 3.72. The fragment size amplified varied from 106 to 308 bp. The polymorphic information content values (PIC) were from 0.1545 to 0.7743 with a mean of 0.5783, which indicated SSR markers can reflect more abundant genetic diversity information in potato varieties. The further phylogenetic tree analysis showed that all 559 accessions were clustered into three groups. Group I was a mixed one, containing 133 (23.8%) materials from almost all regions. Group II was one mostly gathered by accessions from Europe, North America, Northeast and Northwest regions in China. There were 187 materials in this group, accounting for 33.5% of all. Group III consisted of 239 accessions (42.8%), mainly distributing in North America, South America, Northeast and Southwest regions in China. The clustering results based on phenotypic traits were similar to those based on SSR markers, both highly relating to geographic location, indicating that both method should be combined to use in potato genetic polymorphism evaluation.

Key words: Potato, Germplasm, Agronomic trait, SSR maker, Genetic diversity

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