葡萄种质资源亲缘关系的SSR分析

doi:10.11924/j.issn.1000-6850.casb15040076

中国农学通报 ›› 2015, Vol. 31 ›› Issue (28): 93-98.doi: 10.11924/j.issn.1000-6850.casb15040076

所属专题：资源与环境；园艺

葡萄种质资源亲缘关系的SSR分析

郭春苗¹,李宁¹,杨波¹,张付春¹,潘明启¹,陈春生²

(¹新疆农业科学院园艺作物研究所,乌鲁木齐 830091；²新疆莎车县林业局,新疆莎车 844700）

收稿日期:2015-04-09 修回日期:2015-06-23 接受日期:2015-07-24 出版日期:2015-10-27 发布日期:2015-10-27
通讯作者: 郭春苗
基金资助:
新疆农业科学院青年基金“新疆主要葡萄良种指纹图谱构建及遗传关系分析”(xjnky-2013003)；农业部“现代农业产业技术体系专项资金”(CARS-30-zp-03)。

Analysis of Genetic Relationship of Vitis Germplasm Resources by SSR Markers

Guo Chunmiao¹, Li Ning¹, Yang Bo¹, Zhang Fuchun¹, Pan Mingqi¹, Chen Chunsheng²

(¹Institute of Horticultural Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830091;²Shache County Forestry Bureau, Shache Xinjiang 844700)

Received:2015-04-09 Revised:2015-06-23 Accepted:2015-07-24 Online:2015-10-27 Published:2015-10-27

摘要/Abstract

摘要： 对供试材料进行亲缘关系分析，为葡萄分类、种质鉴定和育种提供重要依据。利用SSR标记对新疆44个相对适宜制干葡萄品种（系）材料进行了遗传多样性分析。从52对SSR引物中筛选出8对用于葡萄的SSR扩增，共扩增出190条带，均为多态性条带，多态性百分率为100%。多态性信息含量指数(PIC)变幅为0.6868~0.9640，平均为0.9084。根据SSR扩增结果，Jaccard相似性系数分析表明44份葡萄材料的遗传相似系数的变异范围为0.63~0.92，平均遗传相似系数为0.775。UPGMA聚类分析表明，在遗传相似系数0.654处，可将44份供试材料分为5个类群：第1类包括‘奥迪亚无核’、‘赫什无核’等22份葡萄；第2类包括‘无核白鸡心’、‘葡萄园皇后’等7份葡萄；第3类包括‘美丽无核’、‘艾麦纳’等5份葡萄；第4类包括‘黎明无核’、‘红脸无核’等6份葡萄；第5类包括‘白香蕉’、‘波尔莱特’等4份葡萄。SSR标记能比较准确地检测基因型之间的遗传背景与遗传关系，其中亲缘关系较远的不同类群间及亚类间的种质资源可作为杂交育种的亲本。

关键词: 茶园, 茶园, 低碳, 蜘蛛, 群落结构

Abstract: The aims were to analyze the genetic relationship among 44 Vitis germplasm resources, and provide important basis for cultivar classification, germplasm identification and breeding. SSR markers were employed to clarify the genetic diversity of 44 grape (Vitis L.) genotypes which were suitable for processing of raisins. 8 pairs of polymorphic primers selected from 52 pairs were used for SSR amplification. 190 DNA fragments were generated and all of them were polymorphic bands, and the percentage of polymorphic band was 100%. The ranges of PIC were 0.6868-0.9640, with an average of 0.9084. Jaccard similarity coefficients of the SSR amplification results were analyzed and the genetic similarity coefficient was from 0.63 to 0.92 with the average genetic similarity coefficient of 0.775. The clustering dendrogram constructed by UPGMA method indicated that 44 Vitis materials could be divided into 5 major groups at the similarity coefficient of 0.654. The first group consisted of 22 varieties, including ‘Otilia’ and ‘Heshen Seedless’. The second group consisted of 7 varieties, including ‘Centennial Seedless’ and ‘Queen of Vineyard’. The third group consisted of 5 varieties, including ‘Beauty Seedless’ and ‘Emerala Seedless’. The fourth group consisted of 6 varieties, including ‘Dawn Seedless’ and ‘Blush Seedless’. The fifth group consisted of 4 varieties, including ‘Triumph’ and ‘Perlette’. SSR markers could more accurately detect the genetic background and genetic relationship between the genotypes, of which the materials with distant genetic relationship between major groups or sub-major groups might be used as elite germplasms for further genetic improvement.

中图分类号:

S663.1

郭春苗,李宁,杨波,张付春,潘明启,陈春生. 葡萄种质资源亲缘关系的SSR分析[J]. 中国农学通报, 2015, 31(28): 93-98.

Guo Chunmiao,Li Ning,Yang Bo,Zhang Fuchun,Pan Mingqi and Chen Chunsheng. Analysis of Genetic Relationship of Vitis Germplasm Resources by SSR Markers[J]. Chinese Agricultural Science Bulletin, 2015, 31(28): 93-98.

参考文献

[1] 任国慧,吴伟民,房经贵,等.我国葡萄国家级种植资源圃的建设现状[J].江西农业学报,2012,24(7):10-13.
[2] Wu Y, Huang Y H. An SSR genetic map of peach and its comparison to a published genetic map[J]. Genome,2007,50:84-89.
[3] Li Y C, Abraham B K, Tzion F, et al. Microsatellites: Genomic distribution, putative functions and mutational mechanisms: A review[J]. Mol Ecol,2002,11:2453-2465.
[4] Abe J, Xu D H, Suzukl Y, et al. Soybean germplasm pools in Asia revealed by nuclear SSRs[J]. Thero Appl Genet,2003,106(3):445-453.
[5] Bowers J E, Dangl G S, Vignani R, et al. lsolation and characterization of new polymorphic simple sequence repeat loci in grape (Vitis vinifera L.)[J]. Genome,1996,39:628-633.
[6] Sefc K M, Steinkellner H, Glossl J, et al. Reconstruction of a grapevine pedigree by microsatellite analysis[J].Theor Appl Genet, 1998,97:227-231.
[7] 郝宇,张淑静,张世红,等.葡萄品种资源的SSR鉴定及遗传多样性分析[J].河北农业大学学报,2010,33(1):54-59.
[8] 方连玉,王军,许雷.15份葡萄种质遗传多样性的SSR分析[J].分子植物育种,2010,8(3):511-515.
[9] 吴子龙,王军,沈育杰,等.8个山葡萄及山欧杂种葡萄品种的SSR 分析[J].植物遗传资源学报,2008,9(1):105-109.
[10] 樊丁宇,谢辉,闫鹏,等.葡萄干品质指标探讨及因子分析[J].西北农业学报,2012,21(3):137-141.
[11] 谢辉,樊丁宇,张雯,等.统计方法在葡萄理化指标检测中的应用[J].新疆农业科学,2011,48(8):1434-1437.
[12] 郭春苗,张雯,周晓明,等.不同葡萄品种加工绿葡萄干的适宜性分析[J].食品科学,2012,33(19):62-66.
[13] 王军,杨传平,刘桂丰.木本植物基因组DNA提取及鉴定[J].植物研究,2006,26(5):549-554.
[14] Rohlf F J. NTSYS-PC: Numerical taxonomy and multivariate analysis system, version 1.80.[M]. Setauket, New York: Distribution by Exeter SoftWare,1993.
[15] Botstein D, White R L, Skolnick M, et al. Construction of a genetic linkage map in man using restriction fragment length polymorphisms[J]. Am J Hum Genet,1980,32(3):314-331.
[16] Bowers J E, Meredith C P. Genetic similarities among wine grape cultivars revealed by restriction fragment -length polymorphism(RFLP) analysis[J]. J Amer Soc Hort Sci,1966,121(4):620-624.
[17] This P C, Boursiquot J M. Development of stable RAPD markers for the identification of grapevine rootstocks and the analysis of genetic relationships[J]. Am J Enol Vitic,1997,48(4):492-501.
[18] Bowers J E, Meredith C P. The parentage of classic wine grape, Cabernet sauvignon[J]. Nature Genetics,1997,16(1):84-87.
[19] Botta R, Scott N S, Eynard I, et al. Evaluation of microsatellite sequence-tagged site markers for characterizing Vitis vinifera cultivars[J]. Vitis,1995,34(2):99-102.
[20] Bowers J E, Meredith C P. The Parentage of a classic wine grape, Cabernet sauvignon[J]. Nat Genet,1997,16(1):84-87.
[21] Fregoni M. Genetic Polymorphism of grape vines:application to the characterization of wines and vine plants[J]. Vignevini,2000,27(1/2):42-44.

葡萄种质资源亲缘关系的SSR分析

Analysis of Genetic Relationship of Vitis Germplasm Resources by SSR Markers

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