首页> 美国卫生研究院文献>Molecules >Transcriptomic Analysis of Flower Blooming in Jasminum sambac through De Novo RNA Sequencing
【2h】

Transcriptomic Analysis of Flower Blooming in Jasminum sambac through De Novo RNA Sequencing

机译:De Novo RNA测序技术在茉莉花中开花的转录组学分析

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Flower blooming is a critical and complicated plant developmental process in flowering plants. However, insufficient information is available about the complex network that regulates flower blooming in Jasminum sambac. In this study, we used the RNA-Seq platform to analyze the molecular regulation of flower blooming in J. sambac by comparing the transcript profiles at two flower developmental stages: budding and blooming. A total of 4577 differentially-expressed genes (DEGs) were identified between the two floral stages. The Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses revealed that the DEGs in the “oxidation-reduction process”, “extracellular region”, “steroid biosynthesis”, “glycosphingolipid biosynthesis”, “plant hormone signal transduction” and “pentose and glucuronate interconversions” might be associated with flower development. A total of 103 and 92 unigenes exhibited sequence similarities to the known flower development and floral scent genes from other plants. Among these unigenes, five flower development and 19 floral scent unigenes exhibited at least four-fold differences in expression between the two stages. Our results provide abundant genetic resources for studying the flower blooming mechanisms and molecular breeding of J. sambac.
机译:花开是开花植物中关键且复杂的植物发育过程。但是,尚缺乏足够的信息来调控茉莉花中开花的复杂网络。在这项研究中,我们使用RNA-Seq平台通过比较两个花发育阶段(芽和开花)的转录本谱,分析了桑巴花盛开的分子调控。在两个花期之间共鉴定出4577个差异表达基因(DEG)。 《基因本体论》和《京都议定书》中的基因和基因组通路富集分析表明,“氧化还原过程”,“细胞外区域”,“类固醇生物合成”,“糖鞘脂生物合成”,“植物激素信号转导”和“戊糖和葡萄糖醛酸酯的相互转化可能与花的发育有关。共有103个和92个单基因与其他植物的已知花发育和花香基因表现出序列相似性。在这些单基因中,五个花发育和19个花香单基因在两个阶段之间表现出至少四倍的差异。我们的结果为研究桑巴花的开花机理和分子育种提供了丰富的遗传资源。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号