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作物学报 ›› 2010, Vol. 36 ›› Issue (06): 895-904.doi: 10.3724/SP.J.1006.2010.00895

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

小麦抗旱品种的遗传多样性分析及株高优异等位变异挖掘

魏添梅1,2,昌小平2,闵东红1,景蕊莲2, *   

  1. 1西北农林科技大学农学院,陕西杨凌712100；2中国农业科学院作物科学研究所/国家农作物基因资源与基因改良重大科学工程/农业部作物种质资源利用重点开放实验室，北京100081
  • 收稿日期:2010-01-12 修回日期:2010-03-16 出版日期:2010-06-12 网络出版日期:2010-04-14
  • 通讯作者: 景蕊莲,E-mail:jingrl@caas.net.cn
  • 基金资助:

    本研究由国家科技支撑计划项目（2006BAD29B04）和国家高技术研究发展计划（863计划）项目（2006AA100201）资助。

Analysis of Genetic Diversity and Tapping Elite Alleles for Plant Height in Drought-Tolerant Wheat Varieties

 WEI Tian-Mei1,2,CHANG Xiao-Ping2,MIN Dong-Hong1,JING Juan-Lian2*   

  1. 1College of Agronomy,Northwest A& F University,Yanling 712100,China;2National Key Facility for Crop Gene Resources and Genetic Improvement/Key Laboratory of Crop Germplasm & Biotechnology,the Ministry of Agriculture/Institute of Crop Sciences,Chinese Academy of Agricultural Sciences,Beijing 100081,China
  • Received:2010-01-12 Revised:2010-03-16 Published:2010-06-12 Published online:2010-04-14
  • Contact: JING Rui-Lian,E-mail:jingrl@caas.net.cn

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被引次数

76

摘要：

为了解北方冬麦区小麦抗旱品种的遗传多样性，筛选株高相关标记的等位变异，选用117个均匀分布于小麦各条染色体的SSR标记，对136份小麦抗旱品种进行分析。共检测到1 484个等位变异，平均每个标记12.6个等位变异，变化范围为2~42个，供试材料的遗传信息含量(PIC)变化范围为0.016~0.941，平均为0.640。聚类分析把同一地区或育种单位育成的品种、具有共同亲本的姊妹品种聚为一类，部分相近年代选育的品种也分别聚在一类，国外材料的基因导入对育成品种的遗传基础产生了影响。关联分析表明，在旱地条件下与株高显著相关的标记有19个(P<0.01)，其中6个极显著相关(P<0.001)；在水地条件下与株高显著相关的标记也有19个，其中7个极显著相关。水、旱两种条件下共检测出与株高极显著相关的标记9个，分别是Xbarc125(7D)、 Xbarc168(2D)、 Xgwm126(5A)、 Xgwm130(2B)、 Xgwm212(5D)、 Xgwm285(3B)、 Xgwm495(4B)、 Xgwm95(2A)、 Xwmc396(7B)，其中Xgwm285的220 bp、Xgwm495的181 bp、Xgwm212的99 bp和Xbarc125的167 bp等位变异是与矮秆关联的优异等位基因。

关键词: 遗传多样性, 等位变异, 株高, 关联分析, 小麦

Abstract:

To make advances in wheat breeding, it is important to study germplasm diversity of winter wheat accessions, and identify SSR markers associated with important agronomy traits, for example plant height. Plant height reduction has observably contributed to the lodging resistance and yield increase of wheat in the last decades. In this study, we selected 136 historical winter wheat accessions planted in northern China and 117 SSR markers evenly distributing on the chromosomes of wheat to reveal the genetic diversity. A total of 1484 alleles of loci were detected from the accessions. The average alleles per locus were 12.6 which varied from 2 to 42. The polymorphism information content (PIC) value ranged from 0.016 to 0.941, with an average of 0.640. Most of the similar varieties were cultivated by the same breeders or belonged to the similar ecotype. Some of them were in accordance with the pedigree information. The most varieties cultivated in different ages were also clustered together. A total of 19 significant markers associated with plant height were identified (P<0.01) under drought stress. Among them, Xbarc168 (2D), Xgwm285 (3B), Xgwm126 (5A), Xgwm95 (2A), Xgwm212 (5D)and Xwmc396 (7B) were significantly associated with plant height (P<0.001). In well-watered environment, a total of 19 significant marker-trait associations were also identified (P<0.01), of which Xgwm285 (3B), Xgwm95 (2A), Xbarc125 (7D), Xgwm212 (5D), Xwmc396 (7B), Xgwm130 (2B) and Xgwm495 (4B) were strongly associated with plant height (P<0.001). 220, 181, 167, and 99 bp were the elite alleles of Xgwm285, Xgwm495, Xbarc125 and Xgwm212 for reducing plant height, respectively. With the rapid development of molecular biology and genomics, it is expected to utilize association analysis more widely in genetic research, germplasm enhancement and breeding in wheat.

Key words: Genetic diversity, Allele, Plant height, Association alalysis, Wheat

[1] Zhang X-Y(张学勇), Tong Y-P(童依平), You G-X(游光霞), Hao C-Y(郝晨阳), Ge H-M(盖红梅), Wang L-F(王兰芬), Li B(李 滨), Dong Y-C(董玉琛), Li Z-S(李振声). Hitchhiking effect mapping: A new approach for discovering agronomic important genes. Sci Agric Sin (中国农业科学), 2006, 39(8): 1526-1535 (in Chinese with English abstract)

[2] Tanksley S D, McCouch S R. Seed bank and molecular maps: Unlocking genetic potential from the wild. Science, 1997, 277: 1063-1066


 

[3] Börner A, Schumann E, Fürste A, Cöster H, Leithold B, Röder M S, Weber W E. Mapping of quantitative trait loci determine agronomic important characters in hexaploid wheat (Triticum aestivum L.). Theor Appl Genet, 2002, 105: 921-936

[4] Farnir F, Coppieters W, Arranz J J, Berzi P, Cambisano N, Grisart B, Karim L, Marcq F, Moreau L, Mni M, Nezer C, Simon P, Vanmanshoven P, Wagenaar D, Georges M. Extensive genome-wide linkage disequilibrium in cattle. Genome Res, 2000, 10: 220-227

[5] Kruglyak L. Prospects for whole-genome linkage disequilibrium mapping of common disease genes. Nat Genet, 1999, 22: 139-144

[6] Jorde L B. Linkage disequilibrium and the search for complex disease genes. Genome Res, 2000, 10: 1435-1444

[7] Eizonga G C, Agrama H A, Lee F N, Yan W, Jia Y. Identifying novel resistance genes in newly introduced blast resistant rice germplasm. Crop Sci, 2006, 46: 1870-1878

[8] Flint-Garcia S A, Thuillet A C, Yu J M, Pressoir G, Romero S M, Sharon E. Mitchell S E, Doebley J, Kresovich S, Goodman M M, Buckler IV E S. Maize association population: a high-resolution platform for quantitative trait locus dissection. Plant J, 2005, 44: 1054–1064

[9] Maccaferri M, Sanguineti M C, Enrico N, Roberto T. Population structure and long-range linkage disequilibrium in a durum wheat elite collection. Mol Breed, 2005, 15: 271-289

[10] Zhuang Q-S(庄巧生). Chinese Wheat Improvement and Pedigree Analysis (中国小麦品种改良及系谱分析). Beijing:China Agriculture Press, 2003

[11] Liu K J, Muse S V. PowerMarker: An integrated analysis environment for genetic marker analysis. Bioinformatics, 2005, 21: 2128-2129

[12] Pritchard J K, Stephens M, Donnelly P. Inference of population structure using multilocus genotype data. Genetics, 2000, 155: 945-959

[13] Evanno G, Regnaut S, Goudet J. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol, 2005, 14: 2611-2620

[14]Gupta P K, Rustgi S, Kulwal P L. Linkage disequilibrium and association studies in higher plants: Present status and future prospects. Plant Mol Biol, 2005, 57: 461-485

[15] Jing R-L(景蕊莲), Chang X-P(昌小平). Applications of SSR markers in wheat germplasm.Crop Variety Resour (作物品种资源), 1999, (2): 17-20(in Chinese)

[16] Beló A, Zheng P Z, Luck S, Shen B, Meyer D J, Li B, Tingey S, Rafalski A. Whole genome scan detects an allelic variant of fad2 associated with increased oleic acid levels in maize. Mol Genet Genomics, 2008, 279: 1-10

[17] Andersen J R, Schrag T, Melchinger A E, Zein I, Lübberstedt T. Validation of Dwarf8 polymorphisms associated with flowering time in elite European inbred lines of maize (Zea mays L.). Theor Appl Genet, 2005, 111: 206-217

[18]Ducrocq S, Madur D, Veyrieras J B, Camus-Kulandaivelu L, Kloiber-Maitz M, Presterl T, Ouzunova M, Manicacci D, Charcosset A. Key impact of Vgt1 on flowering time adaptation in maize: Evidence from association mapping and ecogeographical information. Genetics, 2008, 178: 2433-2437

[19]Agrama H A, Eizenga G C, Yan W. Association mapping of yield and its components in rice cultivars. Mol Breed, 2007, 19: 341-356

[20] Breseghello F, Sorrells M E. Association mapping of kernel size and milling quality in wheat (Triticum aestivum L.) cultivars. Genetics, 2006, 172: 1165-1177

[21] Li X-J(李小军), Xu X(徐鑫), Liu W-H(刘伟华), Li X-Q(李秀全), Li L-H(李立会). Genetic diversity of the founder parent Orofen and its progenies revealed by SSR markers. Sci Agric Sin (中国农业科学), 2009. 42(10): 3397-3404 (in Chinese with English abstract)

[22] Liu Z H, Anderson J A, Hu J, Friesen T L, Rasmussen J B & Faris J D. Wheat genetic linkage map based on microsatellite and target region amplified polymorphism markers and its utility for detecting quantitative trait loci. Theor Appl Genet, 2005, 111: 782-794

[23] Pritchard J K, Stephens M, Rosenberg N A, Donnelly P. Association mapping in structured populations. Am J Hum Genet, 2000, 67: 170-181

[24] Beer S C, Siripoonwiwat W, O’donoughue L S, Souza E, Matthews D, Sorrels M E. Associations between molecular markers and quantitative traits in an oat germplasm pool: can we infer linkages? J Agric Genomics, 1997, 3: 197

[25] Virk P S, Fordlloyd B V, Jackson M T, Pooni H S, Clemeno T P, Newbury H J. Predicting quantitative variation within rice germplasm using molecular markers. Heredity, 1996, 76: 96-304

[26] Thornsberry J M, Goodman M M, Doebley J, Kresovich S, Nielsen D, Buckler IV E S. Dwarf8 polymorphisms associate with variation in flowering time. Nat Genet, 2001, 28: 286-289

[27] Wilson L M, Whitt S R, Ibanez A M, Rochefor T R, Goodman M M, Buckler IV E S. Dissection of maize kernel composition and starch production by candidate gene association. Plant Cell, 2004, 16: 2719-2733

[28] Szalma S J, Buckler IV E S, Snook M E, McMullen M D. Association analysis of candidate genes for maysin and chlorogenic acid accumulation in maize silk. Theor Appl Genet, 2005, 110: 1324-1333

[29] Yu J M, Holland J B, McMullen M D, Buckler E S. Genetic design and statistical power of nested association mapping in maize. Genetics, 2008, 178: 539-551
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