欢迎访问作物学报，今天是
作物学报

作物学报 ›› 2016, Vol. 42 ›› Issue (10): 1448-1461.doi: 10.3724/SP.J.1006.2016.01448

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

河南省审定花生品种的指纹图谱构建

孙子淇1,2,张新友2,*,徐静2,张忠信2,刘华2,严玫2,董文召2,黄冰艳2,韩锁义2,汤丰收2,刘志勇1,*   

  1. 1 中国农业大学农学院，北京 100193；2 河南省农业科学院经济作物研究所 / 农业部黄淮海油料作物重点实验室 / 河南省油料作物遗传改良重点实验室，河南郑州 450002
  • 收稿日期:2016-01-29 修回日期:2016-06-20 出版日期:2016-10-12 网络出版日期:2016-06-27
  • 通讯作者: 刘志勇, E-mail: zyliu@genetics.ac.cn, Tel: 010-64806422; 张新友, E-mail: haasz@126.com, Tel: 0371-65729560
  • 基金资助:

    本研究由河南省重大科技专项(141100110600), 国家现代农业产业技术体系建设专项(CARS-14)，河南省现代农业产业技术体系建设项目(S2012-5)和河南省农业科学院自主创新专项基金资助。

DNA Fingerprinting of Peanut (Arachis hypogaea L.) Varieties Released in Henan Province

SUN Zi-Qi1,2,ZHANG Xin-You2,*,XU Jing2,ZHANG Zhong-Xin2,LIU Hua2,YAN Mei2,DONG Wen-Zhao2,HUANG Bing-Yan2,HAN Suo-Yi2,TANG Feng-Shou2,LIU Zhi-Yong1,*   

  1. 1 College of Agronomy, China Agricultural University, Beijing 100193, China; 2 Industrial Crops Research Institute, Henan Academy of Agricultural Sciences / Key Laboratory of Oil Crops in Huanghuaihai Plains, Ministry of Agriculture / Henan Provincial Key Laboratory for Genetic Improvement of Oil Crops, Zhengzhou 450002, China
  • Received:2016-01-29 Revised:2016-06-20 Published:2016-10-12 Published online:2016-06-27
  • Contact: 刘志勇, E-mail: zyliu@genetics.ac.cn, Tel: 010-64806422; 张新友, E-mail: haasz@126.com, Tel: 0371-65729560
  • Supported by:

    This study was supported by the Key Project of Science and Technology of Henan Province (141100110600), China Agriculture Research System of Peanut (CARS-14), Henan Province Agriculture Research System (S2012-5), the Special Fund for Independent Innovation of Henan Academy of Agriculture Science.

RichHTML

PDF

1469

被引次数

2

摘要：

利用14个SSR标记构建了河南省2015年之前选育并审定的90个花生品种的DNA指纹图谱，用14个SSR标记产生的95个多态性位点可将90个花生品种完全区分开，其中84个品种间有≥2个位点的差异，在剩余的3对品种中，每对仅有1个差异位点。聚类分析结果表明，在遗传相似系数0.98处，90个花生品种被聚集成88类，有2对品种分别聚集在一起，是由于它们每一个品种分别以另一个品种作亲本选育而成，仅有1个差异SSR位点，表明所构建的指纹图谱是有效的。以遗传相似系数0.95为划分标准，有74.4%的品种具有特异性，与其他作物相比，河南省育成花生品种总体上亲缘关系相对较近。根据60个SSR标记的群体结构分析，90个花生品种可以分为3个亚群，与根据分枝开花习性和荚果类型的分类相吻合，亚群划分情况与聚类分析结果基本一致。

关键词: 花生品种, 指纹图谱, SSR标记, 群体结构

Abstract:

The DNA fingerprints of 90 peanut varieties released in Henan Province before 2015 were generated using 95 polymorphic loci of 14 SSR markers. All of the varieties could be distinguished by the DNA polymorphisms except for three pairs of varieties with only one SSR locus difference between each pair. SSR clustering analysis revealed that the 90 peanut varieties could be classified into 88 types at a 0.98 genetic similarity coefficient. The remaining two variety pairs had only one allele difference since one variety was the maternal parent of the other. About three fourth (74.4%) of the peanut varieties were distinctive from other varieties at a genetic similarity coefficient threshold of 0.95, indicating a very relatively narrow genetic background of the released peanut varieties in Henan Province compared with other crops. Population structure analysis based on 60 SSR markers demonstrated that the 90 varieties could be divided into three subgroups in accordance with the classification according to botanical and pod characteristics，which was consistent with the results of SSR markers cluster analysis. This study provides some fundamental information for selection of parental lines, identification and evaluation of new varieties, as well as establishment of DNA fingerprinting standard in peanut breeding program.

Key words: Peanut variety, Fingerprinting, SSR, Population structure

[1] PaikRo O G, Smith R L, Kochert D A. Restriction fragment length polymorphism evaluation of six peanut species within the Arachis section. Theor Appl Genet, 1992, 84: 201–208
[2] 王庆贵. DNA指纹图谱在农作物品种鉴定中的应用. 中国标准化, 2001, 7: 45–47
Wang Q G. The application of DNA fingerprint in the identification of crop variety. China Standard, 2001, 7: 45–47 (in Chinese)
[3] 翁跃进. 花生AFLP指纹图谱. 中国油料作物学报, 1999, 21(1): 10–12
Weng Y J. AFLP fingerprint of peanut. Chin J Oil Crop Sci, 1999, 21(1): 10–12 (in Chinese)
[4] 李双铃, 任艳, 陶海腾, 禹山林, 袁美. 山东花生主栽品种AFLP指纹图谱的构建. 花生学报, 2006, 35(1): 18–21
Li S L, Ren Y, Tao H T, Yu S L, Yuan M. Establishment of AFLP fingerprinting of peanut cultivars in Shandong Province. J Peanut Sci, 2006, 35(1): 18–21 (in Chinese with English abstract)
[5] 刘冠明, 郑奕雄, 黎国良. 20个花生品种的SSR标记指纹图谱构建. 中国农学通报, 2006, 22(6): 49–51
Liu G M, Zheng Y X, Li G L. SSR fingerprinting map of 20 peanut cultivars. Chin Agric Sci Bull, 2006, 22(6): 49–51 (in Chinese with English abstract).
[6] 詹世雄, 刘冠明, 郑奕雄, 杨灵, 张平湖, 庄东红. 40个珍珠豆型花生SSR指纹图谱的构建. 种子, 2012, 31(6): 23–27
Zhan S X, Liu G M, Zheng Y X, Yang L, Zhang P H, Zhuang D H. Construction of molecular fingerprinting for forty Spanish-type peanut using SSR markers. Seed, 2012, 31(6): 23–27 (in Chinese with English abstract)
[7] 王关林, 方宏筠. 植物基因工程原理与技术. 北京: 科学出版社, 1998
Wang G L, Fang H J. The principle of plant gene engineering and technology. Beijing: Science Press, 1998 (in Chinese)
[8] He G H, Meng R H, Newman M, Gao G Q, Pittman R N, Prakash C S. Microsatellite as DNA markers in cultivated peanut (Arachis hypogaea L.). BMC Plant Biol, 2003, 3: 1–6
[9] He G H, Meng R H, Gao H, Guo B Z, Gao G Q, Newman M, Pittman R N, Prakash C S. Simple sequence repeat markers for botanical varieties of cultivated peanut (Arachis hypogaea L.). Euphytica, 2005, 142: 131–136
[10] Ferguson M E, Burow M D, Schulze S R, Bramel P J, Paterson A H, Kresovich S, Mitchell S. Microsatellite identification and characterization in peanut (Arachis hypogaea L.). Theor Appl Genet, 2004, 108: 1064–1070
[11] Liu K, Muse S, PowerMarker: New Genetic Data Analysis Software, Version 2.7, 2004, http://www.powermarker.net.
[12] Dixit A, Jin M H, Chung J W, Yu J W, Chung H K, Ma K H, Park Y J, Cho E G. Development of polymorphic microsatellite markers in sesame (Sesamum indicum L.). Mol Ecol Notes, 2005, 5: 736–738
[13] Rohlf F J. NTSYS-pc numerical taxonomy and multivariateanalysis system. Appl. Biostatics, Inc., New York, USA, 2000
[14] Sokal R R, Sneath P H A. Principles of Numerical Taxonomy. W, H. Freeman, San Francisco, 1963
[15] Sneath P H A, Sokal R R. Numerical taxonomy. Freeman, San Francisco, 1973.
[16] Sokal R R, Michener C D. A statistical method for evaluating systematic relationships. Univ Kansas Scie Bull, 1958, 28: 1409–1438
[17] Pritchard J K, Stephens M, Donnelly R. Inference of population structure using multilocus genotype data. Genetics, 2000, 155: 945–959
[18] Falush D, Stephens M, Pritchard J K. Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. Genetics, 2003, 164: 1567–1587
[19] Troyer A F, Rocheford T R. Germplasm ownership: related corn inbreeds. Crop Sci, 2002, 42: 3–10
[20] 陆光远, 伍晓明, 张冬晓, 刘凤兰, 陈碧云, 高桂珍, 许鲲. SSR标记分析国家油菜区试品种的特异性和一致性. 中国农业科学, 2008, 41: 32–42
Lu G Y, Wu X M, Zhang D X, Liu F L, Chen B Y, Gao G Z, Xu K. SSR-based evaluation of distinctness and uniformity of rapeseed (Brassica napus L.) varieties under Chinese National Official Field Tests. Sci Agric Sin, 2008, 41: 32–42 (in Chinese with English abstract)
[21] 刘红艳, 吴坤, 杨敏敏, 左阳, 赵应忠. 国家芝麻区域试验新品种(系)的DNA指纹分析. 作物学报, 2012, 38: 596–605
Liu H Y, Wu K, Yang M M, Zuo Y, Zhao Y Z. DNA fingerprinting of Sesame (Sesamum indicum L.) varieties (Lines) from recent national regional trials in China. Acta Agron Sin, 2012, 38: 596–605 (in Chinese with English abstract)
[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] 田红丽, 杨扬, 王璐, 王蕊, 易红梅, 许理文, 张云龙, 葛建镕, 王凤格, 赵久然. 兼容型maizeSNP384标记筛选与玉米杂交种DNA指纹图谱构建[J]. 作物学报, 2020, 46(7): 1006-1015.
[7] 李乐晨,朱国忠,苏秀娟,郭旺珍. 适于海岛棉指纹图谱构建的SNP核心位点筛选与评价[J]. 作物学报, 2019, 45(5): 647-655.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 赵仁欣,李森业,郭瑞星,曾新华,文静,马朝芝,沈金雄,涂金星,傅廷栋,易斌. 利用SNP芯片构建我国冬油菜参试品种DNA指纹图谱[J]. 作物学报, 2018, 44(7): 956-965.
[13] 朱国忠,张芳,付洁,李乐晨,牛二利,郭旺珍. 适于陆地棉品种身份鉴定的SNP核心位点筛选与评价[J]. 作物学报, 2018, 44(11): 1631-1639.
[14] 魏中艳, 李慧慧, 李骏, YasirA.Gamar, 马岩松, 邱丽娟. 应用SNP精准鉴定大豆种质及构建可扫描身份证[J]. 作物学报, 2018, 44(03): 315-323.
[15] 刘天鹏,董孔军,董喜存,何继红,刘敏轩,任瑞玉,张磊,杨天育. 12C6+离子束辐照糜子诱变突变群体的构建与SSR分析[J]. 作物学报, 2018, 44(01): 144-156.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备15008789号-2