作物学报 ›› 2015, Vol. 41 ›› Issue (10): 1500-1509.doi: 10.3724/SP.J.1006.2015.01500
陈广凤1,2,陈建省1,田纪春1,*
CHEN Guang-Feng1,2,CHEN Jian-Sheng1,TIAN Ji-Chun1,*
摘要:
株高是影响小麦产量和控制倒伏的重要因素,研究小麦株高相关性状的遗传机制对高产育种具有指导意义。以205份中国冬麦区小麦品种(系)为材料,利用分布于小麦全基因组的24 355个单核苷酸多态性(SNP)标记对株高相关性状进行关联分析。共发现38个SNP与株高相关性状显著关联(P < 0.0001)的,分布在1B、2A、2B、3A、3B、3D、4A、4B、5A和6D染色体上。其中,11个位点在至少2个环境中稳定表达,可用于开发CAPS标记。同时,发掘了一批株高性状相关基因的优异等位变异,如降低株高的等位变异BobWhite_c48009_52,平均降低株高12.9 cm;降低穗下节间长的等位变异BS00039422_51-C和IAAV1698-A,分别降低穗下节间长5.9 cm和6.6 cm。本研究发掘的控制小麦株高基因位点,为在分子水平上研究小麦株高复杂性状提供了有价值的参考。
[1]李金才, 尹钧, 魏凤珍. 播种密度对冬小麦茎秆形态特征和抗倒指数的影响. 作物学报, 2005, 31: 662–666Li J C, Yin J, Wei F Z. Effects of planting density on characters of culm and culm lodging resistant index in winter wheat. Acta Agron Sin, 2005, 31: 662–666 (in Chinese with English abstract)[2]董琦, 王爱萍, 梁素明. 小麦基部茎节形态结构特征与抗倒性的研究. 山西农业大学学报(自然科学版), 2003, 23(3): 188–191Dong Q, Wang A P, Liang S M. Study on the architectural characteristics of wheat stalks. J Shanxi Agric Univ (Nat Sci Edn), 2003, 23(3): 188–191 (in Chinese with English abstract)[3]Cadalen T, Sourdille P, Charmet G, Tixier M H, Gay G, Boeuf C, Bernard S, Leroy P, Bernard M. Molecular markers linked to genes affecting plant height in wheat using a double haploid population. Theor Appl Genet, 1998, 96: 933–940[4]周淼平, 黄益洪, 任丽娟, 王书文, 马鸿翔, 陆维忠. 利用重组自交系检测小麦株高的QTL. 江苏农业学报, 2004, 20: 201–206Zhou S P, Huang Y H, Ren L J, Wang S W, Ma H X, Lu w Z. Detection of QTLs for plant height in wheat using RILs. Jiangsu J Agric Sci, 2004, 20: 201–206 (in Chinese with English abstract)[5]刘宾, 赵亮, 张坤普, 朱占玲, 田宾, 田纪春. 小麦株高发育动态QTL定位. 中国农业科学, 2010, 43: 4562–4570Liu B, Zhao L, Zhang K P, Zhu Z L, Tian B, Tian J C. Genetic dissection of plant height at different growth stages in common wheat. Sci Agric Sin, 2010, 43: 4562–4570 (in Chinese with English abstract)[6]谭贤杰, 吴子恺, 程伟东, 王天宇, 黎裕.关联分析及其在植物遗传学研究中的应用. 植物学报, 2011, 46: 108-118Tan X J, Wu Z K, Cheng W D, Wang T Y, Li Y. Association analysis and its application in plant genetic research. Chin Bull Bot, 2011, 46: 108-118 (in Chinese with English abstract)[7]Zhu C, Gore M, Buckler E S, Yu J. Status and prospects of association mapping in plants. Plant Genome, 2008, 1: 5–20[8]Ingvarsson P K, Nathaniel R S. Association genetics of complex traits in plants. New Phytol, 2011, 189: 909–922[9]Altmann T, Roder M S. SNP identification in crop plants. Curr Opin Plant Biol, 2009, 12: 211–217[10]陈秋玲, 高建明, 罗峰, 魏进招, 裴忠有, 孙守钧. 分子标记技术在禾本科作物基因定位上的研究进展. 中国农学通报, 2010, 26(9): 42–48Chen Q L, Gao J M, Luo F, Wei J Z, Pei Z Y, Sun S J. Research and development of molecular marker technologies for gene mapping of Gramineous crops. Chin Agric Sci Bull, 2010, 26(9): 42–48 (in Chinese with English abstract)[11]Palaisa K A, Morgante M, Williams M, Rafalski A. Contrasting effects of selection on sequence diversity and linkage disequilibrium at two phytoene synthase loci. Plant Cell, 2003, 15:1795–1806[12]Mick E, McGough J J, Middleton F A, Neale B, Faraone S V. Genome-wide association study of blood pressure response to methylphenidate treatment of attention-deficit/hyperactivity disorder. Prog Neuro-Psychopharmacol Biol Psychiatry, 2011, 35: 466–472[13]Gerrard D T, Fricke C, Edward D A, Edwards D R, Chapman T. Genome-wide responses of female fruit flies subjected to divergent mating regimes. PLoS One, 2013, 8: e68136[14]Huang X H, Wei X H, Sang T, Zhao Q, Feng Q, Zhao Y, Li C Y, Zhu C R, Lu T T, Zhang Z W, Li M, Fan D L, Guo Y L, Wang A H, Wang L, Deng L M, Lin Z, Edward S Buckler, Qian Q, Zhang Q F, Li J Y, Han B. Genome-wide association studies of 14 agronomic traits in rice landraces. Nat Genet, 2010, 42: 961–967 [15]Wilson L M, Whitt S R, Ibanez A M, Rocheford T R, Goodman M M, Buckler E S. Dissection of maize kernel composition and starch production by candidate gene associations. Plant Cell, 2004, 16: 2719–2733[16]李永祥, 王阳, 石云素, 宋燕春, 王天宇, 黎裕. 玉米籽粒构型与产量性状的关系及QTL作图. 中国农业科学, 2009, 42: 408–418Li Y X, Wang Y, Shi Y S, Song Y C, Wang T Y, Li Y. Correlation analysis and QTL mapping for traits of kernel structure and yield components in maize. Sci Agric Sin, 2009, 42: 408–418 (in Chinese with English abstract)[17]Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira M, Bender D, Maller J, Sklar P, Bakker P, Daly M, Sham P. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am Human Genet, 2007, 81: 559–575[18]Wang S C, Wong D, Forrest K, Allen A, Chao S M, Huang B E, Silvio S, Milner S G, Cattivelli L, Mastrangelo A M, Whan A, Stephen S, Barker G; Wieseke R, Plieske J, International Wheat Genome Sequencing Consortium, Lillemo M, Mather D, Appels R, Dolferus R, Brown-Guedira G, Korol A, Akhunova A, Feuillet C, Salse J, Morgante M, Pozniak C, Luo M C, Dvorak J, Morell M, Dubcovsky J, Ganal M, Tuberosa R, Lawley C, Mikoulitch I, Cavanagh C, Edwards K J, Hayden M, Akhunov E D. Characterization of polyploid wheat genomic diversity using a high-density 90 000 single nucleotide polymorphism array. Plant Biotechnol J, 2014, 12: 787–796[19]Liu K, Muse S V. PowerMarker: an integrated analysis environment for genetic marker analysis. Bioinformatics, 2005, 21: 2128–2129[20]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[21]张学勇, 童依平, 游光霞, 郝晨阳, 盖红梅, 王兰芬, 李滨, 董玉琛, 李振声. 选择牵连效应分析: 发掘重要基因的新思路. 中国农业科学, 2006, 39: 1526–1535Zhang X Y, Tong Y P, You G X, Hao C Y, Ge H M, Wang L F, Li B, Dong Y C, Li Z S. Hitchhiking effect mapping: a new approach for discovering agronomic important genes. Sci Agric Sin, 2006, 39: 1526–1535 (in Chinese with English abstract)[22]Bakker E G, Toomajian C, Kreitman M, Bergelson J. A genome-wide survey of R gene polymorphisms in Arabidopsis. Plant Cell, 2006, 18: 1803–1818 [23]Zanke C, Ling J, Plieske J, Kollers S, Ebmeyer E, Korzun V, Argillier O, Stiewe G, Hinze M, Beier S, Ganal M W, Röder M S. Genetic architecture of main effect QTL for heading date in European winter wheat. Front Plant Sci, 2014, 5: 1–12[24]Zhang K P, Wang J J, Zhang L Y, Rong C W, Zhao F W, Peng T, Li M M, Cheng D M, Liu X, Qin H J, Zhang A M, Tong Y P, Wang D W. Association analysis of genomic loci important for grain weight control in elite common wheat varieties cultivated with variable water and fertiliser supply. PLoS One, 2013, 8: e57853[25]慕美财, 刘勇, 郭小丽, 张曰秋,于凯, 刘冬成, 张爱民. 山东小麦品种中矮秆基因Rht-B1b、Rht-D1b分布的分子鉴定. 分子植物育种, 2005, 3: 473–478Mu M C, Liu Y, Guo X L, Zhang Y Q, Yu K, Liu D C, Zhang A M. Distribution of Rht-B1b and Rht-D1b in wheat cultivars in Shandong detected by molecular markers. Mol Plant Breed, 2005, 3: 473–478 (in Chinese with English abstract) [26]嵇怡, 缪旻珉, 陈学好. 植物矮生性状的分子遗传研究进展. 分子植物育种, 2006, 4: 753–771Ji Y, Miu W M, Chen X H. Progresses on the molecular genetics of dwarf character in plants. Mol Plant Breed, 2006, 4: 753–771 (in Chinese with English abstract)[27]Börner A, Schumann E, Furste A, Coster H, Leithold B, Röder M S, Weber W E. Mapping of quantitative trait loci determining agronomic important characters in hexaploid wheat (Triticum aestivum L.). Theor Appl Genet, 2002, 105: 921–936[28]Zhang K P, Zhao L, Tian J C, Chen G F, Jiang X L, Liu B. A genetic map conducted using a doubled haploid population derived from two elite Chinese common wheat (Triticum aestivum L.) varieties. J Integr Plant Biol, 2008, 50: 1–10[29]Huang X Q, Coster H, Ganal M W, Röder 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[30]王竹林, 王辉, 孙道杰, 何中虎, 夏先春, 刘曙东. 小麦株高的QTL分析. 西北农林科技大学学报(自然科学版), 2008, 36(12): 60–63Wang Z L, Wang H, Sun D J, He Z H, Xia X C, Liu S D. QTL mapping for plant height of wheat. J Northwest A&F Univ (Nat Sci Edn), 2008, 36(12): 59–63 (in Chinese with English abstract)[31]魏添梅, 昌小平, 闵东红, 景蕊莲. 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. 作物学报, 2010, 36: 895–904Wei T M, Chang X P, Min D H, Jing R L. Analysis of genetic diversity and tapping elite alleles for plant height in drought-tolerant wheat varieties. Acta Agron Sin, 2010, 36: 895–904 (in Chinese with English abstract)[32]张国华, 高明刚, 张桂芝, 孙金杰, 靳雪梅, 王春阳, 赵岩, 李斯深. 黄淮麦区小麦品种(系)产量性状与分子标记的关联分析. 作物学报, 2013, 39: 1187–1199Zhang G H, Gao M G, Zhang G Z, Sun J J, Jin X M, Wang C Y, Zhao Y, Li S S. Association analysis of yield traits with molecular markers in Huang-Huai River Valley Winter Wheat region, China. Acta Agron Sin, 2013, 39: 1187–1199 (in Chinese with English abstract)[33]Lu Y L, Yan J B, Guimaraes C T, Taba S, Hao Z F, Gao S B, Chen S J, Li J S, Zhang S H, Vivek B S, Magorokosho C, Parentoni S N, Shah T, Rong T Z, Crouch J H, Xu Y B. Molecular characterization of global maize breeding germplasm based on genome-wide single nucleotide polymorphisms. Theor Appl Genet, 2009, 120: 93–115 |
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