欢迎访问作物学报,今天是

作物学报 ›› 2008, Vol. 34 ›› Issue (01): 37-46.

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

利用SRAP与SSR标记分析不同类型甜菜的遗传多样性

王华忠1,2;吴则东1,2;王晓武3;方智远3,*   

  1. 1黑龙江省普通高校甜菜遗传育种重点实验室/黑龙江大学, 黑龙江哈尔滨150080; 2中国农业科学院甜菜研究所/黑龙江大学农作物研究院, 黑龙江哈尔滨150080; 3中国农业科学院蔬菜花卉研究所, 北京100081

  • 收稿日期:2007-02-17 修回日期:1900-01-01 出版日期:2008-01-12 网络出版日期:2008-01-12
  • 通讯作者: 方智远

Analysis of the Genetic Diversity in Different Types of Sugar Beets by SRAP and SSR Markers

WANG Hua-Zhong12,WU Ze-Dong12,WANG Xiao-Wu2,FANG Zhi-Yuan1*   

  1. 1 The Key Laboratory of Sugar Beet Genetic Breeding, Colleges of Heilongjiang Province/ Heilongjiang University, Harbin 150080, Heilongjiang; 2 Sugar Beet Research Institute of Chinese Academy of Agricultural Sciences/ Crop Academy of Heilongjiang University, Harbin 150080, Heilong- jiang; 3 Institute of Vegetable and Flower of Chinese Academy of Agricultural Sciences, Beijing 100081, China

  • Received:2007-02-17 Revised:1900-01-01 Published:2008-01-12 Published online:2008-01-12
  • Contact: FANG Zhi-Yuan

摘要:

为选育优质甜菜新品种, 指导种质资源引进和利用, 为进行分子标记辅助选择育种提供科学依据, 采用SRAP和SSR两种分子标记方法相结合, 对甜菜单胚雄性不育系及保持系等49份材料进行遗传多样性分析。利用4个表型差异显著的甜菜品系对SRAP的64对引物组合及SSR的11对引物组合进行扩增, 分别筛选出有效引物组合11对和9对。SRAP的11对引物组合共产生199条扩增带, 其中有86条多态性带, 多态性带的比率平均为43.7%。SSR的9对引物共产生35条扩增带, 多态性比率为100%。全部材料的平均遗传距离为0.3860, 平均遗传相似系数为0.6795, 大约30%的材料遗传距离或遗传相似系数具显著或极显著差异。遗传相似系数平均值比较, 多胚四倍体品系0.7264>单胚杂交组合0.7243>国外品种0.7060>多胚二倍体品系0.6908>单胚品系0.6837。在遗传距离0.20处, 将49个甜菜材料划分为A、B、C、D 4个类群, D类群又分为4个亚类, 较好地显示了甜菜材料丰富的遗传多样性。表明不同甜菜品种具有相当高的异质性, 国外与国内材料的遗传基础存在一定差异, 但生产应用的甜菜品种间存在亲缘关系较近、遗传基础较窄的倾向。

关键词:

甜菜, SSR标记, SRAP标记, 遗传多样性, 亲缘关系

Abstract:

Sugar beet (Beta vulgaris L.) is one of the most important sugar crops in the world. However, the application of molecular markers in sugar beet greatly lags behind that in other field crops. In the present study SRAP and SSR markers were employed to investigate the genetic diversity and relationships of sugar beet in order to make full use of germplasm reasonably, to select parents for breeding programs accurately, to improve breeding efficiency and to identify target cultivars quickly. We analyzed 49 sugar beet accessions, including monogerm lines (including male sterilities and maintainors), polygerm tetraploids, polygerm diploids, F1 of monogerm cross combinations, and foreign varieties introduced. All these materials are conserved at Sugar Beet Research Institute, CAAS. In a preliminary experiment, four accessions markedly distinct in phenotype were used to screen 64 pairs of SRAP primers and 11 pairs of SSR primers. Finally, 11 pairs of SRAP primers and nine pairs of SSR primers were selected and used for the present study. A total of 199 SRAP bands (including 86 polymorphic bands) were detected and one primer pair produced 18.0 bands on average (including 7.8 polymorphic bands). The ratio of polymorphic SRAP bands was from 33.3% to 62.5%, with an average of 43.7%. The selected SSR primers yielded 35 bands, with an average of 3.9 per primer pair, and the ratio of polymorphism was as high as 100%. The average genetic distance in the 49 accessions was 0.3860 and the average genetic similarity was 0.6795. About 30% of accessions were significantly different in average genetic distance or genetic similarity. The highest genetic similarity occurred between polygerm tetraploid lines (0.7264), followed by that between F1 of monogerm cross combinations (0.7243) and that between foreign varieties introduced (0.7060), while the lowest one was found between monogerm lines (0.6837). The 49 accessions were divided into A, B, C and D groups based on cluster analysis. About 40% of accessions belonged to the D group which was divided into 4 subgroups, including diploids, tetraploids, F1 of monogerm cross combinations and foreign varieties introduced, which also showed high genetic diversity. Thus, the combination method with SRAP and SSR markers is economic, effective and reliable to assess genetic diversity and relationships of sugar beet. The results indicate that sugar beet has a high level of heterogeneity. There are a definite difference between foreign genetic background and native genetic background, and the closer relationships and narrower genetic basis. Introducing foreign germplasm in breeding has shorted the gap between China and other countries in sugar beet genetic basis among cultivars in production. The classification based on the identification of biological and economical properties in field experiments was generally in accord with that based on SRAP and SSR molecular markers. Therefore, the application of the technology of molecular markers in sugar beet will accelerate breeding process and improve the quality, the yield and the content of sugar.

Key words:

Sugar beet, SSR marker, SRAP marker, Genetic diversity, Relationships

[1] 肖颖妮, 于永涛, 谢利华, 祁喜涛, 李春艳, 文天祥, 李高科, 胡建广. 基于SNP标记揭示中国鲜食玉米品种的遗传多样性[J]. 作物学报, 2022, 48(6): 1301-1311.
[2] 王琰琰, 王俊, 刘国祥, 钟秋, 张华述, 骆铮珍, 陈志华, 戴培刚, 佟英, 李媛, 蒋勋, 张兴伟, 杨爱国. 基于SSR标记的雪茄烟种质资源指纹图谱库的构建及遗传多样性分析[J]. 作物学报, 2021, 47(7): 1259-1274.
[3] 韩贝, 王旭文, 李保奇, 余渝, 田琴, 杨细燕. 陆地棉种质资源抗旱性状的关联分析[J]. 作物学报, 2021, 47(3): 438-450.
[4] 刘少荣, 杨扬, 田红丽, 易红梅, 王璐, 康定明, 范亚明, 任洁, 江彬, 葛建镕, 成广雷, 王凤格. 基于农艺及品质性状与SSR标记的青贮玉米品种遗传多样性分析[J]. 作物学报, 2021, 47(12): 2362-2370.
[5] 孙倩, 邹枚伶, 张辰笈, 江思容, Eder Jorge de Oliveira, 张圣奎, 夏志强, 王文泉, 李有志. 基于SNP和InDel标记的巴西木薯遗传多样性与群体遗传结构分析[J]. 作物学报, 2021, 47(1): 42-49.
[6] 赵孟良,王丽慧,任延靖,孙雪梅,侯志强,杨世鹏,李莉,钟启文. 257份菊芋种质资源表型性状的遗传多样性[J]. 作物学报, 2020, 46(5): 712-724.
[7] 张红岩,杨涛,刘荣,晋芳,张力科,于海天,胡锦国,杨峰,王栋,何玉华,宗绪晓. 利用EST-SSR标记评价羽扇豆属(Lupinus L.)遗传多样性[J]. 作物学报, 2020, 46(3): 330-340.
[8] 刘易科,朱展望,陈泠,邹娟,佟汉文,朱光,何伟杰,张宇庆,高春保. 基于SNP标记揭示我国小麦品种(系)的遗传多样性[J]. 作物学报, 2020, 46(02): 307-314.
[9] 叶卫军,陈圣男,杨勇,张丽亚,田东丰,张磊,周斌. 绿豆SSR标记的开发及遗传多样性分析[J]. 作物学报, 2019, 45(8): 1176-1188.
[10] 吴迷,汪念,沈超,黄聪,温天旺,林忠旭. 基于重测序的陆地棉InDel标记开发与评价[J]. 作物学报, 2019, 45(2): 196-203.
[11] 卢媛,艾为大,韩晴,王义发,李宏杨,瞿玉玑,施标,沈雪芳. 糯玉米自交系SSR标记遗传多样性及群体遗传结构分析[J]. 作物学报, 2019, 45(2): 214-224.
[12] 陈芳,乔麟轶,李锐,刘成,李欣,郭慧娟,张树伟,常利芳,李东方,阎晓涛,任永康,张晓军,畅志坚. 小麦新种质CH1357抗白粉病遗传分析及染色体定位[J]. 作物学报, 2019, 45(10): 1503-1510.
[13] 薛延桃,陆平,史梦莎,孙昊月,刘敏轩,王瑞云. 新疆、甘肃黍稷资源的遗传多样性与群体遗传结构研究[J]. 作物学报, 2019, 45(10): 1511-1521.
[14] 刘洪,徐振江,饶得花,鲁清,李少雄,刘海燕,陈小平,梁炫强,洪彦彬. 基于形态学性状和SSR标记的花生品种遗传多样性分析和特异性鉴定[J]. 作物学报, 2019, 45(1): 26-36.
[15] 黄聪,李晓方,李定国,林忠旭. 利用陆地棉MAGIC群体定位产量、生育期和株高性状的QTL[J]. 作物学报, 2018, 44(9): 1320-1333.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!