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作物学报 ›› 2009, Vol. 35 ›› Issue (2): 255-261.doi: 10.3724/SP.J.1006.2009.00255

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

水稻千粒重和垩白粒率的QTL及其互作分析

周立军1;江玲1;刘喜1;陈红1;陈亮明1;刘世家1;万建民1,2*   

  1. 1南京农业大学作物遗传与种质创新国家重点实验室/江苏省植物基因工程技术研究中心，江苏南京210095；2中国农业科学院作物科学研究所，北京100081
  • 收稿日期:2008-07-31 修回日期:2008-10-08 出版日期:2009-02-12 网络出版日期:2008-12-10
  • 通讯作者: 万建民
  • 基金资助:

    本研究由国家自然科学基金项目（30500315），用人才国家高技术研究发展计划（863计划）项目（2006AA100101，2006AA10Z1B1），国家科技支撑计划项目（2006BAD01A01），江苏省高技术招标项目（BG2006301），江苏省农业种质资源基因库项目[sx（2007）g02]，高等学校学科创新引智计划项目（B08025）资助

QTL Mapping and Interaction Analysis for 1000-Grain Weight and Percentage of Grains with Chalkiness in Rice

ZHOU Li-Jun1,JIANG Ling1,LIU Xi1,CHEN Hong1,CHEN Liang-Ming1,LIU Shi-Jia1,WAN Jian-Min1,2,*   

  1. 1State Key Laboratory of Crop Genetics and Germplasm enhancement/Jiangsu Plant Gene  Engineering Research Center, Nanjing Agricultural University, Nanjing 210095,China;2Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081,China
  • Received:2008-07-31 Revised:2008-10-08 Published:2009-02-12 Published online:2008-12-10
  • Contact: WAN Jian-Min

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被引次数

63

摘要：

产量因子千粒重和稻米品质指标垩白粒率密切相关。本研究以越光/Kasalath//越光BIL群体为材料，分析千粒重和垩白粒率的相关性、QTL、上位性互作及其环境的互作效应。相关分析表明，群体千粒重和垩白粒率在2005年和2006年均呈极显著正相关，相关系数分别为0.42和0.35 (P<0.001)。2年共检测到千粒重QTL 11个，其中5个在2年重复检测到，5个具有环境互作效应；千粒重上位性互作8对，7对与环境存在互作。垩白粒率QTL 6个，3个具有环境互作效应；上位性互作9对，其中4对具有上位性环境互作效应。比较分析发现3个主效QTL同时控制千粒重和垩白粒率的表现，千粒重和垩白粒率的增效等位基因来自同一亲本；1对上位性互作同时对千粒重和垩白粒率有相同的影响。一些与垩白粒率不相关的千粒重主效QTL，如qTGW-3c、qTGW-4a和qTGW-6b，可为育种所利用。对利用QTL定位结果进行千粒重和垩白粒率分子辅助选择育种进行了探讨。

关键词: 水稻, 千粒重, 垩白粒率, QTL, 上位性互作, QTLX环境互作效应

Abstract:

There is a close correlation between 1000-grian weight (TGW, an important yield factor) and percentage of grains with chalkiness (PGWC, an important rice quality index). In this study, a backcross inbred lines (BIL) population derived from a cross between Koshihikari (japonica) and Kasalath (indica) was used to detect correlations and among interactions QTL, epistatic and environment on TGW and PGWC. Correlation analysis showed that there was a significantly positive correlation between TGW and PGWC in the BIL population and the correlation coefficients were 0.42 and 0.35 (P<0.001) in 2005 and 2006, respectively. A total of eleven QTLs and eight epistatic interactions for TGW were detected in 2005 and 2006; of them, five QTLs were repeatedly detected in the two years, and five QTLs and seven epistatic interactions had significantly QE interaction. A total of six QTLs and nine epistatic interactions for PGWC were detected in 2005 and 2006; of them, three QTLs and four epistatic interactions had markedly QE interaction. Three main-effect QTLs simultaneously controlling TGW and PGWC were detected, and their alleles increasing TGW and PGWC were from the same parent; one epistatic interaction had similar effects on TGW and PGWC. Some main-effect QTLs, controlling TGW but not PGWC, such as qTGW-3c, qTGW-4a,and qTGW-6b, could be used for breeding. The strategy was discussed in using QTL mapping results for the marker-assisted selection breeding of TGW and PGWC.

Key words: Rice, 1000-grain weight (TGW), Percentage of grains with chalkiness(PGWC), QTL, epistatic interaction, QTLXenvironment interaction(QE)

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