中国水稻科学

中国水稻科学 ›› 2012, Vol. 26 ›› Issue (1): 55-64.DOI: 10.3969/j.issn.10017216.2012.01.010

• 研究报告 • 上一篇    下一篇

多环境下粳稻株高动态QTL分析

江建华1,张晚霞1,刘晓丽1,刘强明1,卢超1,党小景1,赵其兵2,洪德林1,*   

  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 南京 210095； 2江苏省泗洪县原种场丰收种业有限公司， 江苏 泗洪 223905；
  • 收稿日期:2011-02-26 修回日期:2011-03-14 出版日期:2012-01-10 发布日期:2012-01-10
  • 通讯作者: 洪德林1,*
  • 基金资助:

    国家863计划资助项目（2010AA101301）; 高等学校学科创新引智计划资助项目(B08025); 农业部948计划资助项目\[2006G8(4)311\]; 教育部科技基础条件平台重点资助项目(505005)。

QTL Dissection of Plant Height at Different Growth Stages Under MultiEnvironments in japonica Rice 

JIANG  Jianhua1, ZHANG  Wanxia1, LIU  Xiaoli1, LIU  Qiangming1, LU  Chao1, DANG  Xiaojing1,  ZHAO  Qibing2, HONG  Delin 1,*   

  1. 1 State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China； 2 Fengshou Seed Pure and Breed Corporation Limited of Sihong County, Jiangsu Province, Sihong 223905, China;
  • Received:2011-02-26 Revised:2011-03-14 Online:2012-01-10 Published:2012-01-10
  • Contact: HONG Delin1,*

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摘要： 为阐明粳稻株高动态发育遗传基础，在南京和泗洪3个环境下种植粳稻品种秀水79和C堡及其杂交衍生的254个重组自交家系，利用混合线性模型和最佳线性无偏预测方法对3个环境下不同时期株高变异的各效应值进行估计，进而利用非条件和条件QTL定位的方法对控制株高性状的静态位点和动态位点进行了检测。结果表明，3个环境中RIL群体各期株高均呈正态分布并出现双向超亲分离。株高受环境的影响随发育进程而不断减小。成熟期检测到5个QTL，其中qPH8.3仅在该时期检测到。采用非条件定位的方法共检测到15个非条件加性QTL。不同时期检测到的同一加性位点，增效等位基因来自于同一亲本，加性效应的大小随着发育进程而增大。条件定位的方法共检测到16个条件加性QTL和16个互作位点对，6个加性QTL在不同的两个时间段检测到，其余位点（位点对）均在单个时期检测到。从播种至移栽后42 d、移栽后56 d至70 d以及移栽后98 d至112 d这3个时间段，株高性状以加性遗传效应为主；移栽后42 d至56 d以及移栽后70 d至84 d这两个时间段受加性效应和上位性效应共同控制；而移栽后84 d至98 d则以上位性遗传效应为主。G×E互作遗传效应在整个调查时期均很小。多环境条件下两种定位方法的结合有助于更全面地了解株高在不同发育时期的遗传基础。

关键词: 株高, 非条件QTL定位, 条件QTL定位, 数量性状基因座, 粳稻

Abstract: To understand the genetic basis of dynamic development of plant height in japonica rice, the static and dynamic loci for the trait were detected by unconditional and conditional QTL mapping methods using a population of 254 recombinant inbred lines derived from the cross between Xiushui 79 and C Bao. Phenotypic values   were investigated under  three different environments  and analyzed by the mixturelinearmodel. Normal distribution and transgressive segregation in both directions were observed in the RIL populations under three environments. The results indicated that the impact on plant height caused by environment would be reduced with plant growth and development. Five QTLs were detected at maturity stage, and qPH8.3 was unique at this stage. Fifteen unconditional additive QTLs were identified at nine  developmental stages. The  positive alleles of identical additive loci detected at different stages were originated from the same parent and the additive effects were increased with the plant growth. Sixteen conditional additive QTLs and sixteen epistatic QTL pairs involved in plant height were identified at nine dynamic measurement stages. Among them, six additive QTLs were detected at  two stages, while the others were detected only at a  stage. The additive effect was the major genetic effect at the three stages including from sowing to 42 d after transplanting,  from 56 d  after transplanting to 70 d and from 98 d  after transplanting to 112 d. From 42 d after transplanting to 56 d and from 70 d to 84 d, plant height was controlled both by additive and epistatic effects. Whereas epistatic was the major genetic effect from 84 d after transplanting to 98 d. Effect of G×E interaction was small during all developmental stages. Combining unconditional  QTL mapping with  conditional QTL mapping  under multienvironments   is a promising strategy to elucidate  the genetic basis of plant height at different development stages.

Key words: plant height, unconditional QTL mapping, conditional QTL mapping, quantitative trait locus, japonica rice

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