遗传 ›› 2009, Vol. 31 ›› Issue (11): 1149-1157.

• 研究报告 • 上一篇    下一篇

玉米microRNAs及其靶基因的生物信息学预测

陈旭;李晚忱;付凤玲

  

  1. 四川农业大学玉米研究所, 雅安 625014

  • 收稿日期:2009-05-31 修回日期:2009-07-07 出版日期:2009-11-10 发布日期:2009-11-10
  • 通讯作者: 付凤玲

Bioinformatic prediction of microRNAs and their target genes in maize

CHEN Xu;LI Wan-Chen;FU Feng-Ling   

  • Received:2009-05-31 Revised:2009-07-07 Online:2009-11-10 Published:2009-11-10

摘要:

microRNAs (miRNAs) 是一类非编码的小分子RNA, 通过碱基互补调控靶基因的表达。鉴定和发现新的miRNAs及其靶基因, 对揭示miRNAs在基因表达调控中的作用至关重要。玉米全基因组测序工作开展较晚, 已经鉴定登记的miRNAs很少, 对靶基因的调控作用尚待解明。文章根据miRNA进化上的保守性, 以已知的植物miRNAs为探针, 与相关数据库中玉米表达序列标签(EST)和基因组序列(GSS)中的非编码序列比对, 共发现11个新的miRNA前体。虽然在序列长度和二级结构方面各有变化, 但这11个前体均可折叠形成miRNA家族的标准二级结构。通过靶基因预测, 找到其中7条miRNAs的26个靶基因, 分别编码与新陈代谢、信号转导、转录调节、跨膜运输、生物和非生物胁迫及叶绿体组装等相关的蛋白。这些miRNAs及其靶基因的鉴定, 补充了miRNA数据库的不足。

关键词: 关键词:玉米, microRNAs, 生物信息学, 靶基因, 预测

Abstract:

MicroRNAs (miRNAs) are an extensive class of tiny RNA molecules that regulate the expression of target genes by means of complementary base pair interactions. Identification of miRNAs and their target genes is essential to understand the regulation network of miRNAs in gene expression. With the method of bioinformatic computation, we used previously deposited miRNA sequences from Arabidopsis, rice, and other plant species to blast the databases of maize expressed sequence tags and genomic survey sequence that do not correspond to protein coding genes. A total of 11 novel miRNAs were identified from maize following a range of filtering criteria. All the potential miRNA precursors can be folded into the typical secondary structure of miRNA family, despite of variation in length and structure. Using these miRNAs sequences, we further blasted the databases of maize mRNAs and identified 26 target genes for seven of the eleven newly identified miRNAs. These genes encode twenty-six proteins involved in metabolism, signal transduction, transcriptional regulation, transmembrane transport, biostress, and abiostress responses, as well as chloroplast assembly. The identification of these novel miRNAs is a useful complement to the maize miRNA database