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作 者:张洪熙[1] 戴正元[1] 陈建民[2] 肖宁[1,2] 李爱宏[1] 潘存红[1] 刘广青[1] 周长海[1] 夏广宏[1]
机构地区:[1]江苏里下河地区农业科学研究所/国家水稻改良中心南京分中心,扬州225007 [2]扬州大学生物科学与技术学院,扬州225002
出 处:《上海交通大学学报(农业科学版)》2008年第6期560-566,共7页Journal of Shanghai Jiaotong University(Agricultural Science)
基 金:国家"八五"攻关课题"长江一季中籼稻新品种选育"(85-002-01);国家"863"计划项目(2006AA100101);江苏省高技术研究计划(BG2004301)
摘 要:为探讨扬稻6号的杂种优势分子机理,以扬稻6号、特青和明恢63配制的强、中、弱优势组合及其亲本为材料,利用DD-PCR技术,分析剑叶和幼穗的基因差异表达类型与主要农艺性状的杂种表现及杂种优势的关系。结果表明:千粒重与剑叶的DMP2(F1和父本表达的条带)和幼穗的UNP1(母本特异表达的条带)、UMONO(F1和双亲都沉默的条带)呈显著正相关,而与幼穗的UNF1(F1特异表达的条带)和MONO(F1和双亲都表达的条带)呈显著负相关。在超亲优势方面千粒重与幼穗的UNF1呈显著负相关,推测杂种优势可能受父本基因型影响较大。此外,分别克隆强、弱优势F1间差异表达的条带,反Southern鉴定出40个差异表达基因,涉及光合作用、生物运输、逆境应答、转录调控、信号转导、糖代谢、氨基酸代谢等。To understand the molecular mechanism of rice heterosis, differential gene expression patterns in flag leaves and young panicle of high-heterosis crosses with Yangdao 6 as male parent, middle-heterosis crosses with Teqing as male parent and low-heterosis crosses with Minghui 63 male parent were analyzed by DD-PCR. The correlation analysis of various differential gene expression patterns with the performance and heterosis of main rice agronomic traits was carried out. The main results are as follow: The 1000-grain weight was significant positive correlation with DMP2 (bands expressed in Fj and male parent) of flag leaf, UNP1(bands specifically expressed in female) and UMONO (bands silenced in F1 and both parents) of young panicle, but was significant negative correlation with MONO (bands expressed in F1 and botn parents) and UNF1 (bands specifically expressed in F1) of young panicle. In over-heterosis analysis respects, UNF1 of young panicle was significant negative correlation with 1000-grain weight. It was suggested that the heterosis may be associated with the genotype of male parent. Moreover, differentially expressed bands between high-heterosis crosses and low-heterosis crosses were cloned, and 40 differentially expressed genes were identified by anti-Southern, their functions included photosynthesis, biological transport, stress response, transcription regulation, signal transduction and glucose metabolism, amino acid metabolism, secondary metabolites, etc.
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