Suppr超能文献

小麦(普通小麦)中一组微小RNA的鉴定与特征分析。

Identification and characterization of a subset of microRNAs in wheat (Triticum aestivum L.).

作者信息

Su Chun, Yang Xiaozeng, Gao Shiqing, Tang Yimiao, Zhao Changping, Li Lei

机构信息

Engineering and Technique Research Center of Hybrid Wheat, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China; Department of Biology, University of Virginia, Charlottesville, VA 22904, USA.

Department of Biology, University of Virginia, Charlottesville, VA 22904, USA.

出版信息

Genomics. 2014 Apr;103(4):298-307. doi: 10.1016/j.ygeno.2014.03.002. Epub 2014 Mar 22.

Abstract

MicroRNAs (miRNAs) represent a class of endogenous regulator for post-transcriptionally modulating gene expression. Elucidating complete miRNA repertoires for individual species is a long-desired goal in miRNA research. So far only 42 have been annotated for common wheat (Triticum aestivum) due to its large genome. Here, we employed miRDeep-P, a program developed previously for retrieving miRNAs from deep sequencing data in plants, to parse 14 sequenced small RNA libraries of wheat using expression sequence tags (ESTs) as the reference in lieu of a complete genome sequence. This effort identified 145 miRNAs along with the corresponding stem-looped precursors with many differentially expressed in development and associated with powdery mildew infection. Examination of the phylogenetic distribution of these miRNAs and their target genes revealed that many are conserved in monocots. The set of miRNAs identified in this study is thus useful to further miRNA research in wheat and other important cereal crop species.

摘要

微小RNA(miRNA)是一类用于转录后调控基因表达的内源性调节因子。阐明单个物种完整的miRNA库是miRNA研究中长期以来期望实现的目标。由于普通小麦(Triticum aestivum)基因组庞大,到目前为止仅有42个miRNA得到注释。在此,我们使用miRDeep-P(先前开发的用于从植物深度测序数据中检索miRNA的程序),以表达序列标签(EST)作为参考代替完整基因组序列,解析了14个小麦测序小RNA文库。这项工作鉴定出145个miRNA及其相应的茎环前体,其中许多在发育过程中差异表达且与白粉病感染相关。对这些miRNA及其靶基因的系统发育分布进行检查发现,许多在单子叶植物中是保守的。因此,本研究中鉴定出的miRNA集对于小麦和其他重要谷类作物物种的进一步miRNA研究很有用。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验