Suppr超能文献

从烟草和拟南芥中鉴定新的小非编码RNA

Identification of new small non-coding RNAs from tobacco and Arabidopsis.

作者信息

Billoud B, De Paepe R, Baulcombe D, Boccara M

机构信息

Atelier de bio-informatique, université Pierre-et-Marie-Curie, 12, rue Cuvier, 75005 Paris, France.

出版信息

Biochimie. 2005 Sep-Oct;87(9-10):905-10. doi: 10.1016/j.biochi.2005.06.001.

Abstract

Small non-coding RNAs (ncRNAs) have typically been searched in fully sequenced genomes using one of two approaches-experimental or computational. We developed a mixed method, using both types of information, which has the advantage of applying bio-computing methods to actually expressed sequences. Our method allowed the identification of new small ncRNAs in Arabidopsis thaliana and in the unfinished genome of Nicotiana tabacum. We constructed a N. tabacum cDNA library from small RNAs ranging from 20 to 30 nucleotides (nt). The sequences from 73 unique clones were compared to the A. thaliana genome and to all plant sequences using a pattern-matching approach (program Patbank). Thus, we selected 15 clones from the library corresponding mostly to A. thaliana or N. tabacum non-coding sequences. By Northern blot analyses, we confirmed the presence of most RNA candidates in Arabidopsis and in Nicotiana sylvestris with a size range of 21-100 nt. To gain more insight into the possible genesis of 21-24 nt sequences, stable folding of sRNAs with their flanking regions were predicted with the software MIRFOLD dedicated to the folding of microRNAs (miRNA). Stable hairpins structures were observed for some putative miRNAs.

摘要

小非编码RNA(ncRNAs)通常采用实验或计算这两种方法之一在全测序基因组中进行搜索。我们开发了一种混合方法,同时使用这两种类型的信息,其优点是将生物计算方法应用于实际表达的序列。我们的方法能够在拟南芥和未完成基因组的烟草中鉴定出新的小ncRNAs。我们从20至30个核苷酸(nt)的小RNA构建了一个烟草cDNA文库。使用模式匹配方法(程序Patbank)将73个独特克隆的序列与拟南芥基因组以及所有植物序列进行比较。因此,我们从文库中选择了15个克隆,它们大多对应于拟南芥或烟草的非编码序列。通过Northern印迹分析,我们证实了大多数RNA候选物在拟南芥和林烟草中存在,其大小范围为21 - 100 nt。为了更深入了解21 - 24 nt序列的可能起源,使用专门用于微RNA(miRNA)折叠的软件MIRFOLD预测了sRNA与其侧翼区域的稳定折叠。对于一些假定的miRNA观察到了稳定的发夹结构。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验