研究报告

多环境条件下超级杂交稻协优9308 重组自交系群体粒形性状的QTL分析

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  • 1中国水稻研究所 国家水稻改良中心, 杭州 310006; 2贵州省水稻研究所, 贵阳 550006; 3广西农业科学院 水稻研究所, 南宁530007; 4沈阳农业大学 农学院,  沈阳 450002;

收稿日期: 2013-05-17

  修回日期: 2013-06-13

  网络出版日期: 2013-09-10

基金资助

农业部超级稻研究计划资助项目(20103); 中央级公益性科研院所专项资金资助项目(2009RG0013);  国家科技支撑计划资助项目(2011BAD35B02); 浙江省重点科技创新团队项目(2010R5002416)。

QTL Analysis of Rice Grain Shape Traits by Using Recombinant Inbred Lines from Super Hybrid Rice Xieyou 9308  in  Multienvironments

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  • 1 National Center for Rice Improvement, China National Rice Research Institute, Hangzhou 310006, China; 2 Guizhou Rice Research Institute, Guiyang 550006, China; 3 Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China; 4 College of Agronomy, Shenyang Agricultural University, Shenyang 450002, China;

Received date: 2013-05-17

  Revised date: 2013-06-13

  Online published: 2013-09-10

摘要

利用超级杂交稻协优9308的重组自交系群体及建立的遗传连锁图谱,在3个环境条件下对粒长(GL)、粒宽(GW)、粒厚(GT)、籽粒体积(GV)和籽粒长宽比(GLWR)等5个粒形性状的数量性状基因座(QTL)进行定位分析。结果表明,3个环境下共检测到26个QTL,分布在第1、2、3、4、6、7、8、10、11和12染色体上,其中粒长相关QTL 4个,贡献率为3.98%~54.58%;粒宽相关QTL 4个,贡献率为6.98%~9.88%;粒厚相关QTL 8个,贡献率为4.91%~11.92%;籽粒体积相关QTL 5个,贡献率为5.07%~22.35%;籽粒长宽比相关QTL 5个,贡献率为5.17%~47.81%。6个QTL在两个以上环境被检测到,其中qGL3.1、qGW3.2、qGV3.1和qGLWR3.1在3个环境中同时被检测到,说明这4个QTL受环境影响较小,能稳定表达。第3染色体RM6283-RM7370区间同时稳定检测到控制粒长、粒厚、体积和长宽比等4个性状的QTL,存在一因多效性。共检测到包括粒宽、粒厚和籽粒体积3个性状的5对加性×加性上位性互作QTL,但贡献率都较小,介于1.08%~3.00%。联合检测发现,粒形性状QTL与环境存在互作,但单个QTL与环境互作效应低,对表型变异的贡献率都较小,说明粒形性状遗传比较稳定。

本文引用格式

杨占烈1,2,戴高兴3,翟荣荣1,林泽川1,王会民4,曹立勇1,*,程式华1,* . 多环境条件下超级杂交稻协优9308 重组自交系群体粒形性状的QTL分析[J]. 中国水稻科学, 2013 , 27(5) : 482 -490 . DOI: 10.3969/j.issn.1001-7216.2013.05.005

Abstract

The QTLs for some grain characters including grain length (GL), grain width (GW), grain thickness (GT), grain volume (GV), grain length to width ratio (GLWR) were analyzed with Xieyou 9308derived recombinant inbred lines (RIL) population as material by using  its molecular genetic linkage map across three environments. A total of 26 QTLs were detected on chromosomes 1, 2, 3, 4, 6, 7, 8, 10, 11 and 12. Among the QTLs detected, 4 QTLs for GL explained 3.98%-54.58% of the phenotypic variation; 4 QTLs for GW explained 6.98%-9.88% of the phenotypic variation; 8 QTLs for GT explained 4.91%-11.92% of the phenotypic variation; 5 QTLs for GV explained 5.07%-22.35% of the phenotypic variation; 5 QTLs for GLWR explained 5.17%-47.81% of the phenotypic variation. Six QTLs could be detected  in  two or more environments. qGL3.1, qGW3.2 , qGV3.1, qGLWR3.1  could be detected across three environments, suggesting that these  QTLs were less affected by the environment and were stably expressed  in  multienvironments. QTLs for GL, GT, GV and GLWR could be detected in the interval RM6283-RM7370 on chromosome 3, suggesting that the genetic effects of QTLs for related traits existed pleiotropic effects. A total of 5 QTL pairs with additive × additive epistatic effects for 3 traits (GW, GT, GV) were detected, explaining 108%-3.00% of phenotypic variation. Combined detection showed that additive ×environment interaction effect of the QTLs for grain shape traits was detected, but all of those effects were so small and explained small phenotypic variation,suggesting that rice grain shape traits were geneticly stable.

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