中国农业科学 ›› 2012, Vol. 45 ›› Issue (22): 4552-4560.doi: 10.3864/j.issn.0578-1752.2012.22.002

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

利用永久群体在不同环境下定位黄瓜株高QTL

 苗, 晗, 顾兴芳, 张圣平, 张忠华, 黄三文, 王, 烨   

  1. 中国农业科学院蔬菜花卉研究所/农业部园艺作物遗传改良重点开放实验室, 北京 100081
  • 收稿日期:2012-01-19 出版日期:2012-11-15 发布日期:2012-09-26
  • 通讯作者: 通信作者顾兴芳,Tel:010-82108755;E-mail:guxf@mail.caas.net.cn
  • 作者简介:苗 晗,E-mail:miaohand@163.com。
  • 基金资助:

    国家现代农业产业技术体系建设专项资金资助(CRS-25)、国家“948”项目(2008-Z42)、国家“973”计划项目(2009CB119004)

Detection of Quantitative Trait Loci for Plant Height in Different Environments Using an RIL Population in Cucumber

 MIAO  , HAN  , GU  Xing-Fang, ZHANG  Sheng-Ping, ZHANG  Zhong-Hua, HUANG  San-Wen, WANG  , YE    

  1. Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences/Key Laboratory of Horticultural Crops Genetic Improvement, Ministry of Agriculture, Beijing 100081
  • Received:2012-01-19 Online:2012-11-15 Published:2012-09-26

摘要: 【目的】黄瓜(Cucumis sativus L.)株高相关性状与其产量及植株生长发育有密切关系,对其进行QTL定位及比较分析,不仅为基因的精细定位及克隆奠定基础,也可实现该性状已有研究结果的信息整合,为黄瓜株型改良及分子标记辅助选择提供理论依据。【方法】利用以黄瓜材料9930和9110Gt为亲本构建的F9代RILs群体遗传图谱,结合4次黄瓜株高相关性状的表型数据,采用MapQTL4.0软件进行多座位QTL模型(Multiple-QTL model,MQM)检测。基于基因组序列信息,对本研究和前人已有研究结果进行比较作图并对株高QTL位点区域序列进行BLAST分析。【结果】共检测到11个与株高、节间长度、节数相关的QTLs,分布在Chr.1、Chr.2、Chr.5、Chr.6这4条染色体上,各QTLs的LOD值在3.03—12.73,可解释6.2%—32.1%的表型变异。其中主效QTLs 5个,可在春秋两季重复检出的QTLs 3个,占QTL总数的27.3%。在Chr.1上有QTL成簇聚集的现象。【结论】控制黄瓜株高的基因至少有4个,分别位于第1、3、5、6这4条染色体上。在Chr.6长臂上定位的应是有限生长基因de。

关键词: 黄瓜 , 株高 , QTL , 重组自交系 , 序列分析

Abstract: 【Objective】Plant height is related closely to cucumber (Cucumis sativus L.) yield and plant development. QTL analysis for the traits related to plant height in cucumber can provide a basis for fine mapping and gene cloning. The result not only provide a theoretical basis for molecular assistant selection (MAS) breeding in plant morphogenesis and high yield, but also integrate research results of plant height.【Method】Phenotypic data of 148 F9 recombinant inbred lines (RILs) which originated from a narrow-cross between 9110Gt and 9930 were investigated four times in different seasons. Using a SSR linkage map, the multiple QTL model (MQM) method of software package MapQTL version 4.0 was employed to map and analyze QTLs. Based on the whole genome sequence, the genomic regions harboring QTLs related to plant height were analyzed using comparative mapping and BLAST soft. 【Result】 QTL mapping analysis was conducted for three cucumber traits related to plant height, length of the main stem internode, and node number of main stem, in this study. Eleven QTLs were detected for these traits. These QTLs were mapped on chromosomes 1, 2, 5 and 6, respectively. Their LOD values varied between 3.03 and 12.73, which explained 6.2%-32.1% of the phenotypic variation. Five QTLs explained phenotypic variation more than 10%. Three QTLs (27.3% ) were found to be expressed consistently under four cropping seasons in greenhouse cultivation. QTL cluster was detected on Chr.1. 【Conclusion】 Based on the results in this study, it is speculated that there are at least four genes controlling plant height of cucumber, de gene controlling the determinate habit in cucumber was found in the region of QTLs mapped on the long-arm of Chr.6.

Key words: cucumber , plant height , quantitative trait locus (QTL) , recombinant inbred lines (RILs) , sequence analysis