《植物生理学报》 2016, 52(8): 1176-1190
通信作者：梁永书；E-mail: yongshuliang@yeah.net
摘 要：
利用QTL定位方法揭示耐热高产粳稻重要农艺性状QTL的遗传信息, 获得其主效QTL连锁标记, 为进一步揭示其分子机理和耐热高产粳稻品种选育奠定基础。本研究以水稻籼粳交‘热粳35’ב协青早B’ F2群体作为遗传材料, 选用MapMaker 3.0软件绘制包含156个多态性SSR标记F2图谱, 采用DPS软件ANOVA分析和WinQTLCart 2.50软件的复合区间(CIM)和多重区间(MIM)作图法, 对亲本、F2群体重要农艺性状进行T测验、相关分析、QTL定位及其上位性分析。结合已发表文献和水稻公共数据库(www.gramene.org)确定本研究检测QTL物理位置的可靠性和创新性。结果发现, 所有性状在双亲间呈极显著差异, 在F2群体呈双向超亲分离、近似正态分布, 这些性状为多基因控制的数量性状(QTL)。共检测到24个QTL, LOD值介于3.02~12.25, 加性效应值在–31.33~18.01, 显性效值在–21.15~50.54, 单个QTL贡献率为7.15%~70.56%。共检测到8个一因多效QTL区间, 检测到5对上位性QTLs, 所定位QTL位点不在前人报道物理区间, ‘热粳35’表现出独特遗传模式, 其重要农艺性状QTLs以加/显性效应为主、上位性效应为辅。关键词：水稻; SSR; 籼粳杂种; 农艺性状; QTLs定位
收稿：2016-03-17 修定：2016-07-11
资助：国家“973”前期专项(2014CB160306)、重庆市自然科学基金(Cstc2014jcyjA80003)和重庆市教委项目(KJ1400516)。
Corresponding author: LIANG Yong-Shu; E-mail: yongshuliang@yeah.net
Abstract:
The study was to elucidate the genetic information of QTL determining important agronomical traits and obtain the linkage marker of QTL underlying japonica variety with high yield and heat tolerance character with by method of QTL mapping, and provide some useful information for the further molecular mechanism of japonica variety and its genetic improvement. A F2 population derived from the cross between japonica ‘Rejing35’ and indica ‘Xieqingzao B’ containing 226 lines was used to perform the QTL analysis. A genetic linkage map containing 156 SSR was constructed by MapMaker3.0 software; the methods to ANOVA, Correlation, CIM and MIM were applied to perform the phenotypic data analysis and QTL mapping using DPS and Win-QTLCart 2.50 software. The reliable genomic regions of major QTL were confirmed by comparison with the publicly available QTL data from the website of www.gramene.org and the previously published literature. T-test analysis for thirteen traits showed that a significant difference was lied between ‘Rejing35’ and ‘XieqingzaoB’, a crazy segregation occurs in these traits, and a normal distribution of phenotypic values for all traits was observed in the F2 population, indicated that these traits were controlled by multiple genes (QTL). Twenty-four QTLs were detected on chromosome 1, 2, 3, 4, 5, 6, 9, 11 and 12 for all traits, respectively, with the LOD values ranged from 3.02 to 12.23, the additive effect from –31.33 to 18.01, the dominative effect from –21.15 to 50.54, and the range of individual QTL explaining phenotypic variation was from 7.15% to 70.56%. Of these, there 8 pleiotropic QTLs were located repeatedly for multiple traits on chromosome 1, 2, 4, 5, 9 and 11, respectively, five pairs of epistatic QTLs were detected, these QTLs were not located on the same genomic region to that of the previously published QTLs. ‘Rejing35’ shows the unique genetic model, The genetic model of additive/dominant QTL underlying agronomic trait is more important than that of epistatic QTL, the genomic regions of all QTLs were not in the same genomic region to the previously published QTLs, there 8 pleiotropic QTLs were detected repeatedly for multiple traits, five pairs of epistatic QTLs were detected for three traits.Key words: rice; SSR; indica-japonica hybrid; agronomic traits; QTL mapping
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