欢迎访问作物学报，今天是
作物学报

作物学报 ›› 2012, Vol. 38 ›› Issue (06): 954-961.doi: 10.3724/SP.J.1006.2012.00954

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

鲁麦14对山东新选育小麦品种的遗传贡献

盖红梅1,李玉刚1,王瑞英1,李振清1,王圣健1,高峻岭1,*,张学勇2,*   

  1. 1青岛市农业科学研究院 / 农业部黄淮海作物遗传改良与生物技术重点开放实验室, 山东青岛 266100；2中国农业科学院作物科学研究所 / 农业部作物基因资源与种质创制重点开放实验室，北京 100081
  • 收稿日期:2011-11-08 修回日期:2012-02-22 出版日期:2012-06-12 网络出版日期:2012-03-29
  • 通讯作者: 高峻岭, E-mail: qingdaocrop@sina.com; 张学勇, E-mail: xueyongz@caas.net.cn
  • 基金资助:

    本研究由国家现代农业产业体系项目(CARS-3-1-2)和青岛市科技计划项目(09-1-1-69-nsh, 10-3-4-14-1-jch)资助。

enetic Contribution of Lumai 14 to Novel Wheat Varieties Developed in Shandong Province

GE Hong-Mei1,LI Yu-Gang1,WANG Rui-Ying1,LI Zhen-Qing1,WANG Sheng-Jian1,GAO Jun-Ling1,*,ZHANG Xue-Yong2,*   

  1. 1 Qingdao Academy of Agricultural Sciences / Key Laboratory of Huanghuaihai Crop Genetic Improvement and Biotechnology, Ministry of Agriculture, Qingdao 266100, China; 2 Institute of Crop Sciences, Chinese Academy of Agricultural Sciences / Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture, Beijing 100081, China
  • Received:2011-11-08 Revised:2012-02-22 Published:2012-06-12 Published online:2012-03-29
  • Contact: 高峻岭, E-mail: qingdaocrop@sina.com; 张学勇, E-mail: xueyongz@caas.net.cn

PDF

3250

被引次数

28

摘要： 为了解骨干亲本鲁麦14对山东新选育小麦品种的遗传贡献，对鲁麦14及其6个衍生品种(系)进行了全基因组SSR扫描分析。在350个SSR位点上共检测到662个等位变异，每个位点1~5个等位变异，平均1.9个, 位点平均多态性指数(PIC)为0.21。UPGMA聚类分析表明，济麦22和鲁麦14聚为一类、青丰系列4个品种(系)聚为一类，这两类形成一个大的分支，而济麦20与这些品种的关系较远。在所检测的350个位点中，与鲁麦14相同的位点数，济麦22有235个(67.1%), 济麦20有210个(60.0%), 青丰1号有229个(65.4%), 青农2号有247个(70.6%)。这些相同位点多数以一个大的染色体区段传递至子代，且有的区段在6个衍生品种(系)中共享，如5A的gwm304–barc360–gwm415–barc1区段和6D的barc196–gdm127–barc123区段等。济麦22在21条染色体上都有与鲁麦14相同的位点，但染色体间差异较大，相同位点比例超过70%的染色体有3A、4A、7A，2B、4B、7B、1D、3D和4D；相同位点比例最低的是3B，仅46%。同一连锁群上，位点之间多呈连续区段分布，大多与已发现的重要性状分布簇相吻合。因此认为，鲁麦14的优良遗传背景对济麦22有重要贡献。在育种实践中，除需关注重要基因的导入外，还应注意骨干材料主体背景的选择。

关键词: 鲁麦14, 济麦22, SSR标记, 聚类分析, 遗传贡献

Abstract: Lumai 14 is a semi-dwarf high-yield wheat variety developed in the mid of 1980s, which is also a backbone parent of more than 30 wheat varieties released in China. This study aimed to understand the genetic contribution of Lumai 14 to its derivate varieties and lines at the genomic level. Using 350 SSR markers covering the whole wheat genome, the alleles of Lumai 14 were screened in six Lumai 14 derivants and Yannong 15 (another parent of Qingfeng series). A total of 662 alleles were obtained on the 350 loci, and each locus had 1–5 alleles with an average of 1.9 alleles. The polymorphism information content (PIC) was 0.21. In the UPGMA dendrogram, Jimai 22 and Lumai 14 were clustered together firstly, and further grouped with Qingfeng series. Lumai 20 showed relative large genetic distance to the backbone parent. The derivants of Lumai 14 shared common loci with their parents with percentages of 67.1% (235/350) for Jimai 22, 60.0% (210/350) for Jimai 20, 65.4% (229/350) for Qingfeng 1, and 70.6% (247/350) for Qingnong 2. Most of these loci were assembled on 21 chromosomes, and some of them, such as regions gwm304–barc360–gwm415–barc1 on chromosome 5A and barc196–gdm127–barc123 on chromosome 6D, were shared in six Lumai 14 derivants. In Jimai 22, alleles inherited from Lumai 14 varied among chromosomes, and chromosomes 3A, 4A, 7A, 2B, 4B, 7B, 1D, 3D, and 4D contained more than 70% of Lumai 14 alleles, whereas chromosome 3B showed the lowest percentage of 46%. These alleles from Lumai 14 were mainly distributed in several regions on each chromosome, which proved to harbor genes/QTLs for important traits in QTL analysis and association analysis. Therefore, we conclude that the elite background of Lumai 14 contributed greatly to Jimai 22. In breeding practices, background selection should be highly considered besides the transmission of elite target genes.

Key words: LM-14, JM- 22, SSR, Clustering Analysis, Genetic Contribution

[1]Wang Y-X(王玉心), Mou C-S(牟春生). Growing characteristics and high-yield cultivation of Lumai 14. Shandong Agri Sci (山东农业科学), 1992, (6): 13-14 (in Chinese)

[2]Fang Z(方正), Liu W-Z(刘维正), Yang J-S(杨今胜), Zhai D-F(翟冬峰), Liu W-G(刘为更). Strategy to improve wheat germplasm resource in view of the breeding of Lumai 14. J Triticeae Crops (麦类作物学报), 2005, 25(6): 121–124 (in Chinese with English abstract)

[3]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: Agriculture Press, 2003. pp 117–118 (in Chinese)

[4]Litt M, Luty J A. A hypervariable microsatellite revealed by in vitro amplification of a dinucleotide repeat within the cardiac muscle actin gene. Am J Hum Genet, 1989, 44: 397

[5]Schlotterer C, Tautz D. Slippage synthesis of simple sequence DNA. Nucl Acid Res, 1992, 20: 211–215

[6]You G X, Zhang X Y, Wang L F. An estimation of the minimum number of SSR loci needed to reveal genetic relationships in wheat varieties: Information from 96 random accessions with maximized genetic diversity. Mol Breed, 2005, 14: 397–406

[7]Wang L-F(王兰芬), Balfourier F, Hao C-Y(郝晨阳), Exbrayat F, Dong Y-C(董玉琛), Ge H-M(盖红梅), Zhang X-Y(张学勇). Comparison of genetic diversity level between European and East-Asian wheat collections using SSR markers. Sci Agric Sin (中国农业科学), 2007, 40(12): 2667–2678 (in Chinese with English abstract)

[8]Yuan Y-Y(袁园园), Wang Q-Z(王庆专), Cui F(崔法), Zhang J-T(张景涛), Du B(杜斌), Wang H-G(王洪刚). Specific loci in gnome of wheat milestone parent Bima 4 and their transmission in derivatives. Acta Agron Sin (作物学报), 2010, 36(1): 9–16 (in Chinese with English abstract)

[9]Han J(韩俊), Zhang L-S(张连松), Li J-T(李婧婷), Shi L-J(石丽娟), Xie C-J(解超杰), You M-S(尤明山), Yang Z-M(杨作民), Liu G-T(刘广田), Sun Q-X(孙其信), Liu Z-Y(刘志勇). Molecular dissection of core parental cross “Triumph/Yanda 1817” and its derivatives in wheat breeding program. Acta Agron Sin (作物学报), 2009, 35(8): 1395–1404 (in Chinese with English abstract)

[10]Hao C Y, Dong Y C, Wang L F, You G X, Zhang H N, Ge H M, Jia J Z, Zhang X Y. Genetic diversity and construction of core collection in Chinese wheat genetic resources. Chin Sci Bull, 2008, 53: 1518–1526

[11]Hao, C Y, Wang L F, Ge H M, Dong Y C, Zhang X Y. Genetic diversity and linkage disequilibrium in Chinese bread wheat (Triticum aestivum L.) revealed by SSR markers. PloS One, 2011, e 6(2): e17279. doi: 10.1371/journal.pone.0017279

[12]Sun H-M(孙慧敏), Zhang J(张军), Zhao T-J(赵团结), Gai J-Y(盖钧镒). Association analysis between submergence tolerance and SSR markers in domestic and foreign soybean cultivars in Asia. Acta Agron Sin (作物学报), 2010, 36(10): 1615–1623 (in Chinese with English abstract)

[13]Devos K M, Gale M D. The use of random amplified polymorphic DNA marker in wheat. Theor Appl Genet, 1992, 84: 567–572

[14]Ge H-M(盖红梅), Wang L-F(王兰芬), You G-X(游光霞), Hao C-Y(郝晨阳), Zhang X-Y(张学勇). Fundamental roles of cornerstone breeding lines in wheat reflected by SSR random scanning. Sci Agric Sin (中国农业科学), 2009, 42(5): 1503–1511 (in Chinese with English abstract)

[15]Ren M(任民), Jia X-H(贾兴华), Jiang C-H(蒋彩虹), Yang A-G(杨爱国), Wang R-X(王日新). Comparison study of Bassam and Sanguinetti silver staining in the detecting of SRAP and TRAP. Bio/ Bull (生物技术通报), 2008, (1): 113–116 (in Chinese with English abstract)

[16]Tang H-J(唐怀君), Yin G-H(殷贵鸿), Xia X-C(夏先春), Feng J-J(冯建军), Qu Y-Y(曲延英), He Z-H(何中虎). Evaluation of molecular markers specific for 1BL/1RS translocation and characterization of 1RS chromosome in wheat varieties from different origins. Acta Agron Sin (作物学报), 2009, 35(11): 2107–2115 (in Chinese with English abstract)

[17]Liu K and Muse S V. PowerMarker: integrated analysis environment for genetic marker data. Bioinformatics, 2005, 21: 2128–2129

[18]Tamura K, Dudley J, Nei M, Kumar S. MEGA4: molecular evolutionary genetics analysis (MEGA) software version 4.0. Mol Biol Evol, 2007, 24: 1596–1599

[19]Reimer S, Pozniak C J, Clarke F R, Clarke J M, Somers D J, Knox R E, Singh A K. Association mapping of yellow pigment in an elite collection of durum wheat cultivars and breeding lines. Genome, 2008, 51: 1016–1025

[20]Ge H-M(盖红梅). Selection sweeps in Chinese major cultivars of Triticum aestivum L. PhD Dissertation of Chinese Academy of Agricultural Sciences, 2008 (in Chinese with English abstract)

[21]Zhang W, Chao S, Manthey F, Chicaiza O, Brevis J C, Echenique V, Dubcovsky J. QTL analysis of pasta quality using a composite microsatellite and SNP map of durum wheat. Theor Appl Genet, 2008, 117: 1361–1377

[22]Zhang L P, Xu X Q, Zhao C P, Shan F H, Yuan S H, Sun H. QTL analysis of plant height in photoperiod-thermo sensitive male sterile wheat. Mol Plant Breed, 2011, 2: 92–97

[23]An D G, Su J Y, Liu Q Y, Zhu Y G, Tong Y P, Li J M, Jing R L, Li B, Li Z S. Mapping QTLs for nitrogen uptake in relation to the early growth of wheat (Triticum aestivum L.). Plant & Soil, 2006, 284: 73–84

[24]Zhang X Y, Tong Y P, You G X, Hao C Y, Ge H M, Wang L F, Dong Y S, Li Z S. Hitchhiking effect mapping: a new approach for discovering agronomic important genes. Agric Sci China, 2007, 6: 255–264

[25]Genc Y, Oldach K, Verbyla A P, Lott G, Hassan M, Tester M, Wallwork H, McDonald G K. Sodium exclusion QTL associated with improved seedling growth in bread wheat under salinity stress. Theor Appl Genet, 2010, 121: 877–894

[26]Snape J W, Foulkes M J, Simmonds J, Leverington M, Fish L J, Wang Y K, Ciavarrella M. Dissectiong gene × environmental effects on wheat yields via QTL and physiological analysis. Euphytica, 2007, 154: 401–408

[27]Su Z Q, Hao C Y, Wang L F, Dong Y C, Zhang X Y. Identification and development of a functional marker of TaGW2 associated with grain weight in bread wheat (Triticum aestivum L.). Theor Appl Genet, 2011, 122: 211–223

[28]Zhou X-G(周晓果), Jing R-L(景蕊莲), Hao Z-F(郝转芳), Chang X-P(昌小平), Zhang Z-B(张正斌). Mapping QTL for seedling root traits in common wheat. Sci Agric Sin (中国农业科学), 2005, 38(10): 1951–1957 (in Chinese with English abstract)

[29]Ge H M, You G X, Wang L F, Hao C Y, Dong Y S, Li Z S, Zhang X Y. Genome selection sweep and association analysis shed light on future breeding by design in wheat. Crop Sci, 2012, doi: 10.2135/cropsci201

[30]Lai J S, Li R Q, Xu X, J W W, Xu M L, Zhao H N, Xiang Z K, Song W B, Ying K, Zhang M, Jiao Y P, Ni P X, Zhang J G, Li D, Guo X S, Ye K X, Jian M, Wang B, Zheng H S, Liang H Q, Zhang X Q, Wang S C, Chen S J, Li J S, Fu Y, Springer N M, Yang H M, Wang J, Dai J R, Schnable P S, Wang J. Genome-wide patterns of genetic variation among elite maize inbred lines. Nat Genet, 2010, 42: 1027–1030

[31]Wang L F, Ge H M, Hao C Y, Dong Y S, Zhang X Y. Identifying loci influencing 1000-kernel weight in wheat by microsatellite screening for evidence of selection during breeding. PloS One, 2012, 7(2): e29432
[1] 徐建霞, 丁延庆, 曹宁, 程斌, 高旭, 李文贞, 王若若, 王磊, 张立异. 397份高粱种质资源在贵州表型多样性分析及综合评价[J]. 作物学报, 2026, 52(4): 1073-1087.
[2] 黄丽霞, 张卫卫, 甄一越, 王秋宝, 田洪岭, 李国栋, 刘龙龙, 张丽君. 盐胁迫下苦荞萌发期耐盐碱性评价及种质筛选[J]. 作物学报, 2026, 52(2): 459-479.
[3] 文璇, 钟秀丽, 王尚文, 金涛, 彭君, 刘恩科. 基于耐性指数的青稞苗期耐低氮种质筛选及不同氮效率类型综合评价[J]. 作物学报, 2025, 51(7): 1949-1958.
[4] 蒋优, 马雪融, 张博, 李陈建. 苏丹草种子萌发期耐盐性评价及耐盐种质筛选[J]. 作物学报, 2025, 51(3): 835-844.
[5] 王浩辰, 王克晶, 韩娟, 李向华. 东南沿海短绒野大豆两种代表性生境自然种群的空间遗传结构特征:种群内取样策略研究[J]. 作物学报, 2025, 51(11): 2875-2885.
[6] 史晓磊, 孙旭生, 潘国庆, 邱丽华, 戎鑫愉, 赵春华, 吴永振, 孙晗, 秦冉, 崔法. 小麦骨干亲本鲁麦14系谱分析[J]. 作物学报, 2025, 51(10): 2652-2662.
[7] 郑栋, 周仙莉, 滕长才, 侯万伟, 张红岩, 刘玉皎. 基于SSR标记的青海蚕豆品种亲缘关系分析与指纹图谱构建[J]. 作物学报, 2025, 51(1): 79-90.
[8] 匡博文, 韦妳, 刘金典, 陈美燕, 毛兴洁, 段维兴, 杨细平. 基于甘蔗及其近缘属参考基因组开发SSR标记及数据库[J]. 作物学报, 2025, 51(1): 103-116.
[9] 李长喜, 董占鹏, 关永虎, 刘金伟, 李航, 梅拥军. 南疆陆地棉农艺性状与皮棉产量性状的遗传贡献及决策系数分析[J]. 作物学报, 2024, 50(6): 1486-1502.
[10] 陈志凯, 周仙莉, 张红岩, 滕长才, 侯万伟. 320份蚕豆蛋白质含量的SSR关联分析[J]. 作物学报, 2024, 50(11): 2775-2786.
[11] 王昊, 孙妮娜, 王矗, 肖露凝, 肖蓓, 李栋, 刘洁, 秦冉, 吴永振, 孙晗, 赵春华, 李林志, 崔法, 刘伟. 烟农系列小麦高产遗传基础解析[J]. 作物学报, 2023, 49(6): 1584-1600.
[12] 许乃银, 王扬, 王丹涛, 宁贺佳, 杨晓妮, 乔银桃. 棉花纤维质量指数的构建与WGT双标图分析[J]. 作物学报, 2023, 49(5): 1262-1271.
[13] 郭宏, 于霁雯, 裴文锋, 关永虎, 李航, 李长喜, 刘金伟, 王伟, 王宝全, 梅拥军. 南疆陆地棉杂种F2的遗传分析及遗传主效聚类[J]. 作物学报, 2023, 49(3): 608-621.
[14] 李赢, 刘海翠, 石吕, 石晓旭, 韩笑, 刘建, 魏亚凤. 江苏裸大麦种质资源遗传多样性和群体结构分析[J]. 作物学报, 2023, 49(10): 2687-2697.
[15] 怀园园, 张晟瑞, 武婷婷, 李静, 孙石, 韩天富, 李斌, 孙君明. 大豆主要营养品质性状相关分子标记的育种应用潜力评价[J]. 作物学报, 2022, 48(8): 1957-1976.
Viewed
Full text


Abstract

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