应用SSR分子标记分析国外种质对我国小麦品种的遗传贡献

doi:10.3724/SP.J.1006.2009.00778

摘要/Abstract

摘要：

利用363对SSR标记分析了在我国小麦生产和育种中发挥了重要作用的11份国外引进品种和33份选育品种的遗传组成，旨在揭示国外种质对我国小麦品种改良的遗传贡献，指导种质资源引进和利用。国外种质包含了选育品种所发现等位变异的76.3%。与不同时期小麦品种等位基因多样性比较发现，国外种质的平均等位变异数最多(3.92)，20世纪60年代(2.86)和70年代(3.01)基本一致，80年代有所升高(3.46)。品种间遗传距离比较与品种等位基因多样性结果相吻合。比较引进和选育品种在SSR位点的等位变异频率变化，发现至少在33个SSR位点，国外种质等位变异在我国小麦育种中被优先选择(该等位变异在引进和选育品种的分布频率均高于70%)，其中一些位点已知与产量、生育期和抗病等性状密切相关。表明引进品种在以上基因组区域对我国小麦品种具有非常高的遗传贡献。

关键词: 小麦, 引进品种, 选育品种, SSR标记, 选择, 贡献

Abstract:

Foreign germplasm has exerted important influence on wheat (Triticum aestivum L.) breeding in China. To uncover the genetic contribution of introduced varieties to Chinese wheat breeding, 44 representative accessions, consisting of 11 introduced important parents from 1950s to 1970s and 33 representative domestic varieties which were released in different years in China, were evaluated using 363 SSR markers distributing on 21 chromosomes. The 11 introduced accessions contained 76.3% of the alleles presented in total 33 Chinese accessions. Comparing the pattern of variability among introduced accessions and the groups of varieties released over time, we found that the mean number of alleles amplified was the highest in foreign germplasm (3.92), similar to each other between 1960s and 1970s (2.86 and 3.01, respectively), and that in 1980s was a little higher (3.46). The result on genetic distance among different groups was accorded with the pattern of the allelic diversity. On the other hand, comparing the allelic frequencies between introduced and improved accessions at each SSR locus we found that certain chromosomal regions underwent strong selection in wheat breeding. At least 33 SSR loci on 14 chromosomes with the exception of 4A, 6A, 7A, 1B, 3B, 3D, and 5D, the alleles amplified in foreign accessions were selected preferentially and transmitted to Chinese accessions, whose frequencies were over 70% in either group of accessions. Furthermore, some of the markers were correlated with known wheat genes controlling important traits reported in literatures, including resistance to pests such as strip rust, leaf rust and powdery mildew, and other characters such as yield, growth stage and dormancy. In conclusion, the chromosomal regions selected preferentially play an important role in the improvement of wheat in China, which should be studied further.

Key words: Wheat, Introduced varieties, Improved varieties, SSR marker, Selection, Contribution

李小军,徐鑫,刘伟华,李秀全,杨欣明,李立会*. 应用SSR分子标记分析国外种质对我国小麦品种的遗传贡献[J]. 作物学报, 2009, 35(5): 778-785.

LI Xiao-Jun,XU Xin,LIU Wei-Hua,Li Xiu-Quan,YANG Xin-Ming,LI Li-Hui*. Genetic Contribution of Introduced Varieties to Wheat Breeding in China Using SSR Markers[J]. Acta Agron Sin, 2009, 35(5): 778-785.

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链接本文: https://zwxb.chinacrops.org/CN/10.3724/SP.J.1006.2009.00778

https://zwxb.chinacrops.org/CN/Y2009/V35/I5/778

参考文献

[1]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(in Chinese)
[2]Qin J(秦君), Chen W-Y(陈维元), Guan R-X(关荣霞), Jiang C-X(姜成喜), Li Y-H(李英惠), Fu Y-S(付亚书), Liu Z-X(刘章雄), Zhang M-C(张孟臣), Chang R-Z(常汝镇), Qiu L-J(邱丽娟). Genetic contribution of foreign germplasm to elite Chinese soybean (Glycine max) cultivars revealed by SSR markers. Chin Sci Bull (科学通报), 2006, 51(6): 681–692 (in Chinese)
[3]Su J, Xiao Y, Li M, Liu Q, Li B, Tong Y, Jia J, Li Z. Mapping QTLs for phosphorus-deficiency tolerance at wheat seedling stage. Plant Soil, 2006, 281: 25–36
[4]Ma Z, Zhao D, Zhang C, Zhang Z, Xue S, Lin F, Kong Z, Tian D, Luo Q. Molecular genetic analysis of five spike-related traits in wheat using RIL and immortalized F2 populations. Mol Gen Genomics, 2007, 277: 31–42
[5]Saghai Maroof M A, Soliman K M, Jorgensen R A, Allard R W. Ribosomal DNA spacer-length polymorphisms in barley: Mendelian inheritance, chromosomal location, and population dynamics. Proc Natl Acad Sci USA, 1984, 81: 8014–8018
[6]Somers D J, Isaac P, Edwards K. A high-density microsatellite consensus map for bread wheat (Triticum aestivum L.). Theor Appl Genet, 2004, 109: 1105–1114
[7]Rohlf F J. NTSYS-pc. Numerical Taxonomy and Multivariate Analysis System, Version 2.10. Exeter Software, New York, 2002
[8]Jakobson I, Peusha H, Timofejeva L, J?rve K. Adult plant and seedling resistance to powdery mildew in a Triticum aestivum × Triticum militinae hybrid line. Theor Appl Genet, 2006, 112: 760–769
[9]Huang X Q, C?ster H, Ganal M W, R?der M S. Advanced backcross QTL analysis for the identification of quantitative trait loci alleles from wild relatives of wheat (Triticum aestivum L.). Theor Appl Genet, 2003, 106: 1379–1389
[10]Eriksen L, Borum F, Jahoor A. Inheritance and localisation of resistance to Mycosphaerella graminicola causing septoria tritici blotch and plant height in the wheat (Triticum aestivum L.) genome with DNA markers. Theor Appl Genet, 2003, 107: 515–527
[11]Gervais L, Dedryver F, Morlais J Y, Bodusseau V, Negre S, Bilous M, Groos C, Trottet M. Mapping of quantitative trait loci for field resistance to Fusarium head blight in an European winter wheat. Theor Appl Genet, 2003, 106: 961–970
[12]Breseghello F, Sorrells M E. Association mapping of kernel size and milling quality in wheat (Triticum aestivum L.) cultivars. Genetics, 2006, 172: 1165–1177
[13]Chu C G, Xu S S, Friesen T L, Faris J D. Whole genome mapping in a wheat doubled haploid population using SSRs and TRAPs and the identification of QTL for agronomic traits. Mol Breed, 2008, 22: 251–266
[14]Buerstmayr H, Steiner B, Hartl L, Griesser M, Angerer N, Lengauer D, Miedaner T, Schneider B, Lemmens M. Molecular mapping of QTLs for Fusarium head blight resistance in spring wheat. II. Resistance to fungal penetration and spread. Theor Appl Genet, 2003, 107: 503–508
[15]Ramburan V P, Pretorius Z A, Louw J H, Boyd L A, Smith P H, Boshoff W H P, Prins R. A genetic analysis of adult plant resistance to stripe rust in the wheat cultivar Kariega. Theor Appl Genet, 2004, 108: 1426–1433
[16]Zhang N(张娜), Yang W-X(杨文香), Li Y-N(李亚宁), Zhang T(张汀), Liu D-Q(刘大群). Developing molecular markers for leaf rust resistance gene Lr45 in wheat based on SSR. Acta Agron Sin (作物学报), 2007, 33(4): 657–662 (in Chinese with English abstract)
[17]Mori M, Uchino N, Chono M, Kato K, Miura H. Mapping QTLs for grain dormancy on wheat chromosome 3A and the group 4 chromosomes, and their combined effect. Theor Appl Genet, 2005, 110: 1315–1323
[18]Gonzalez-Hernandez J L, Elias E M, Kianian S F. Mapping genes for grain protein concentration and grain yield on chromosome 5B of Triticum turgidum (L.) var. dicoccoides. Euphytica, 2004, 139: 217–225
[19]McCartney C A, Somers D J, Humphreys D G, Lukow O, Ames N, Noll J, Cloutier S, McCallum B D. Mapping quantitative trait loci controlling agronomic traits in the spring wheat cross RL4452 × ‘AC Domain’. Genome, 2005, 48: 870–883
[20]Narasimhamoorthy B, Gill B S, Fritz A K, Nelson J C, Brown-Guedira G L. Advanced backcross QTL analysis of a hard winter wheat × synthetic wheat population. Theor Appl Genet, 2006, 112: 787–796
[21]Tian Q Z, Zhou R H, Jia J Z. Genetic diversity trend of common wheat (Triticum turgidum L.) in China revealved with AFLP markers. Genet Resour Crop Evol, 2005, 52: 325–331
[22]Russell J R, Ellis R P, Thomas W T B, Waugh R, Provan J, Booth A, Fuller J, Lawrence P, Young G, Powell W. A retrospective analysis of spring barley germplasm development from ‘foundation genotypes’ to currently successful cultivars. Mol Breed, 2000, 6: 553–568
[23]Reif J C, Hamrit S, Heckenberger M, Schipprack W, Maurer H P, Bohn M, Melchinger A E. Trends in genetic diversity among European maize cultivars and their parental components during the past 50 years. Theor Appl Genet, 2005, 111: 838–845
[24]Gai J-Y(盖钧镒), Zhao T-J(赵团结), Cui Z-L(崔章林), Qiu J-X(邱家驯). Nuclear and cytoplasmic contributions of germplasm from distinct areas to the soybean cultivars released during 1923–1995 in China. Sci Agric Sin (中国农业科学), 1998, 31(5): 35–43 (in Chinese with English abstract)
[25]Gizlice Z, Carter T E, Burton J. Genetic base for North American public soybean cultivars released between 1947 and 1988. Crop Sci, 1994, 34: 1143–1151
[26]Lorenzen L L, Boutin S, Young N, Specht J E, Shoemaker R C. Soybean pedigree analysis using map-based molecular markers: I. tracking RFLP markers in cultivars. Crop Sci, 1995, 35: 1326–1336
[27]Christopher M, Mace E, Jordan D, Rodgers D, McGowan P, Delacy I, Banks P, Sheppard J, Butler D, Poulsen D. Applications of pedigree-based genome mapping in wheat and barley breeding programs. Euphytica, 2007, 154: 307–316
[28]Korzun V, R?der M S, Ganal M W, Worland A J, Law C N. Genetic analysis of the dwarfing gene (Rht8) in wheat. Part I. Molecular mapping of Rht8 on the short arm of chromosome 2D of bread wheat (Triticum aestivum L.). Theor Appl Genet, 1998, 96: 1104–1109
[29]Flint-Garcia S A, Thuillet A, Yu J, Pressoir G, Romero S M, Mitchell S E, Doebley J, Kresovich S, Goodman M M, Buckler E S. Maize association population: A high-resolution platform for quantitative trait locus dissection. Plant J, 2005, 44: 1054–1064

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