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作物学报 ›› 2012, Vol. 38 ›› Issue (06): 988-995.doi: 10.3724/SP.J.1006.2012.00988

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

水稻第2染色体上抗旱相关性状QTL的精细定位

聂元元1,2,邹桂花3,李瑶4,刘国兰2,蔡耀辉1,毛凌华1,颜龙安1,刘鸿艳2,*,罗利军2,*   

  1. 1 江西省农业科学院水稻研究所 / 水稻国家工程实验室(南昌),江西南昌330200;2 上海市农业生物基因中心,上海201106;3 浙江省农业科学院作物与核技术利用研究所,浙江杭州310021; 4 江西省农业科学院土壤肥料与资源环境研究所,江西南昌330200
  • 收稿日期:2011-09-02 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: 刘鸿艳, E-mail: lhy@sagc.org.cn, Tel: 021-62202915; 罗利军, E-mail: lijun@sagc.org.cn, Tel: 021-62204090
  • 基金资助:

    本研究由国家高技术研究发展计划(863计划)项目(2010AA101803),国家现代农业产业技术体系建设项目(NXCYTY-01),国家自然科学基金项目(31100237)和浙江省重大科技专项(2010C12003)资助。

Fine Mapping of Drought Tolerance QTL on Chromosome 2 in Rice

NIE Yuan-Yuan1,2,ZOU Gui-Hua3,LI Yao4,LIU Guo-Lan2,CAI Yao-Hui1,MAO Ling-Hua1,YAN Long-An1,LIU Hong-Yan2,*,LUO Li-Jun2,*   

  1. 1 Rice Research Institute, Jiangxi Academy of Agricultural Sciences / Nanchang Branch of Chinese National Center for Rice Improvement, Nanchang 330200, China; 2 Shanghai Agriobiological Gene Center, Shanghai 201106, China; 3 Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; 4 Institute of Soil & Fertilizer and Resource & Environment, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China
  • Received:2011-09-02 Revised:2012-02-22 Published:2012-06-12 Published online:2012-03-29
  • Contact: 刘鸿艳, E-mail: lhy@sagc.org.cn, Tel: 021-62202915; 罗利军, E-mail: lijun@sagc.org.cn, Tel: 021-62204090

摘要: 水资源危机使得水稻抗旱性的遗传与育种研究成为当今的研究热点之一。鉴定与水稻抗旱性直接相关的性状和产量的QTL,可为通过标记辅助选择培育抗旱水稻品种提供标记信息。以从供体IRAT109渗入到珍汕97B背景的269个高代回交渗入系中筛选出覆盖第2染色体目标区段的87个近等基因系为材料,在抗旱鉴定大棚中采用控制式供水,精细定位了水处理(对照)与干旱胁迫条件下影响水稻水分生理及产量相关性状的QTL。共检测到20个影响叶水势(LWP)、冠层温度(CT)、茎基粗(BCT)等性状相关QTL和百粒重(HGW)、每穗颖花数(SN)、着粒密度(SPD)等产量相关QTL。根据在不同环境下的表达情况,将其分为3类,第1类7个QTL,在两种环境下均被检测到;第2类4个,只在对照条件下检测到;第3类2个,分别控制叶水势和颈基粗,受干旱胁迫诱导,只在胁迫条件下被检测到,其中,叶水势定位在RIO02037-RIO02038约8.2 kb的区段上, 其加性效应和贡献率分别为-1.0361和13.03%,增效等位基因来自IRAT109;茎基粗定位在RIO02017-RIO02022约37.7 kb的区段内,加性效应和贡献率分别为0.2682和49.20%,增效等位基因来自珍汕97B。在水、旱2种条件下均检测到的相对稳定的7个QTL及干旱胁迫条件下的2个QTL可能对抗旱性有直接贡献。

关键词: 水稻, 近等基因系, 抗旱, 水分生理性状, 产量性状

Abstract: In rice breeding research, drought tolerance (DT) is one of the most important target traits for variety improvement under ever-increasing severe drought situation in the whole world. Identification of the physiological character and grain yield QTLs directly related to DT will provide useful marker information for developing with DT rice variety via marker-assisted selection (MAS). The 87 introgression lines (ILs) selected from 269 advanced backcross introgression population derived from Zhenshan97B/IRAT109 in the Zhenshan97B background were planted in drought facilities for mapping QTLs affecting physiological characters and grain yield under irrigation and drought stress conditions. Twenty QTLs affecting leaf water potential (LWP), canopy temperature (CT), basal culm thickness (BCT), 100-grain weight (HGW), spikelets number per panicle (SN) and spikelets density were identified, which could be grouped into three types based on their behaviors. Type I included seven QTLs which were detected under both conditions; type II consisted of four QTLs which were mapped only in the control condition; and type III consisted of two QTLs which were induced by drought and detected only under the stress. The seven QTLs detected under both environments and the two QTLs detected under drought stress could directly contribute to DT and be used in rice breeding for DT by MAS.

Key words: Rice, Near-isogenic lines (NIL), Drought tolerance (DT), Water relative physiological, Grain yield

[1]Brown L R, Halweil B. China’s water shortage could shake world food security. World Watch, 1998, 7: 3–4

[2]Luo L-J(罗利军), Zhang Q-F(张启发). The status and strategy on drought resistance of rice (Oryza sativa L.). Chin J Rice Sci (中国水稻科学), 2001, 15(3): 209–214 (in Chinese with English abstract)

[3]Teng S(腾胜), Qian Q(钱前), Zeng D-L(曾大力), Kunihiro Y(国广泰史), Fujimoto K(藤本宽), Huang D-N(黄大年), Zhu L-H(朱立煌). Analysis of gene loci and epistasis for drought tolerance in seedling stage of rice (Oryza sativa L.). Acta Genet Sin (遗传学报), 2002, 29(3): 235–240 (in Chinese with English abstract)

[4]Champoux M C, Wang G, Sarkarung S. Locating genes associated with root morphology and drought avoidance in rice via linkage to molecular markers. Theor Appl Genet, 1995, 90: 969–981

[5]Price A H, Tomos A D. Genetic dissection of root growth in rice (Oryza sativa L.): II. Mapping quantitative trait loci using molecular markers. Theor Appl Genet, 1997, 95: 143–152

[6]Ray J D, Yu L X, Mccouch S R. Mapping quantitative trait loci associated with root penetration ability in rice (Oryza sativa L.). Theor Appl Genet, 1996, 92: 627–636

[7]Xu J-C(徐吉臣), Li J-Z(李晶昭), Zheng X-W(郑先武), Zou L-X(邹亮星), Zhu L-H(朱立煌). QTL mapping of the root traits in rice seedling. Acta Genet Sin (遗传学报), 2001, 28(5): 433–438 (in Chinese with English abstract)

[8]Zheng B S, Yang L, Zhang W P. Mapping QTLs and candidate genes for rice root traits under different water-supply conditions and comparative analysis across three populations. Theor Appl Genet, 2003, 107: 1505–1515

[9]Luo L-J(罗利军), Mei H-W(梅捍卫), Yu X-Q(余新桥), Liu H-Y(刘鸿艳), Feng F-J(冯芳君). Water-saving and drought-resistance rice and its development strategy. Chin Sci Bull (科学通报), 2011, 56(11): 804–811 (in Chinese with English abstract)

[10]Lafitte H R, Price A H, Courtois B. Yield response to water deficit in an upland rice mapping population: associations among traits and genetic markers. Theor Appl Genet, 2004, 109: 1237–1246

[11]Reynolds M P, Trethowan R M, Ginkel M, Rajaram S. General considerations in physiological breeding. In: Reynolds M P, Ortiz-Monasterio J I, McNab A, eds. Application of Physiology in Wheat Breeding. Mexico, International Maize and Wheat Improvement Center (CIMMYT), 2001. pp 2–86

[12]Liu H-Y(刘鸿艳), Zou G-H(邹桂花), Liu G-L(刘国兰), Hu S-P(胡颂平), Li M-S(李明寿), Yu X-Q(余新桥), Mei H-W(梅捍卫), Luo L-J(罗利军). Correlation analysis and QTL identification for canopy temperature, leaf water potential and spikelet fertility in rice under contrasting moisture regimes. Chin Sci Bull (科学通报) , 2005, 50(2): 130–139 (in Chinese with English abstract)

[13]Zou G H, Mei H W, Liu H Y, Liu G L, Hu S P, Yu X Q, Li M S, Wu J H, Luo L J. Grain yield responses to moisture regimes in a rice population: association among traits and genetic markers. Theor Appl Genet, 2005, 112: 106–113

[14]Garrity D P, O’Toole J C. Selection for reproductive stage drought avoidance in rice, using infrared thermometry. Agron J, 1995, 87: 773–779

[15]Wang D L, Zhu J, Li Z K, Paterson A H. Mapping QTLs with epistatic effects and QTL×environment interactions by mixed linear model approaches. Theor Appl Genet, 1999, 99: 1255–1264

[16]Zeng H, Luo L, Zhang W, Zhou J, Li Z, Liu H, Zhu T, Feng X, Zhong Y. Plant QTL-GE: a database system for identifying candidate genes in rice and Arabidopsis by gene expression and QTL information. Nucl Acids Res, 2007, 35: D879–D882

[17]Bohnert H, Shen J. Transformation and compatible solutes. Sci Hort, 1998, 78: 237–260

[18]Hemamalini G S, Shashidhar H E, Hittalmani S. Molecular marker assisted tagging of morphological and physiological traits under two contrasting moisture regimes at peak vegetative stage in rice (Oryza sativa L.). Euphytica, 2000, 112: 69–78

[19]Yue B, Xue W Y, Xiong L Z, Yu X Q, Luo L J, Cui K H, Jin D M, Xing Y Z, Zhang Q F. Genetic basis of drought resistance at reproductive stage in rice: separation of drought tolerance from drought avoidance. Genetics, 2006, 172: 1213–1228

[20]Nguyen T T T, Klueva N, Chamareck V, Aarti A, Magpantay G, Millena A C M, Pathan M, Nguyen H T. Saturation mapping of QTL regions and identification of putative candidate genes for drought tolerance in rice. Mol Gen Genet, 2004, 272: 35–46

[21]Lanceras J C, Pantuwan G, Jongdee B, Toojinda T. Quantitative trait Loci associated with drought tolerance at reproductive stage in rice. Plant Physiol, 2004, 35: 384–399

[22]Zhang J, Zheng H G, Aarti A, Pantuwan G, Nguyen T T, Tripathy J N, Sarial A K, Robin S, Babu R C, Nguyen B D, Sarkarung S, Blum A, Nguyen H T. Locating genomic regions associated with components of drought resistance in rice: comparative mapping within and across species. Theor Appl Genet, 2001, 103: 19–29

[23]Moncada P, Martinez C P, Borrero J, Chatel M, Gauch H, Guimaraes E, Tohme J, McCouch S R. Quantitative trait loci for yield and yield components in an Oryza sativa ? Oryza rufipogon BC2F2 population evaluated in an upland environment. Theor Appl Genet, 2001, 102: 41–42

[24]Lafitte R, Blum A, Atlin G. Using secondary traits to help identify drought-tolerant genotypes. In: Fischer K S, Lafitte R, Fukai S, Atlin G, Hardy B, eds. Breeding Rice for Drought-Prone Environments. Los Banos, the Philippines: IRRI, 2003. pp 37–48

[25]Hemamalini G S, Shashidhar H E, Hittalmani S. Molecular marker assisted tagging of morphological and physiological traits under two contrasting moisture regimes at peak vegetative stage in rice (Oryza sativa L.). Euphytica, 2000, 112: 69–78
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