Computational identification of microRNAs in strawberry expressed sequence tags and validation of their precise sequences by miR-RACE

文献类型： 外文期刊

第一作者： Han, Jian

作者： Han, Jian;Yu, Hua-Ping;Wang, Chen;Liu, Hong;Fang, Jing-Gui;Dong, Qing-Hua;Ge, An-Jing;Zhao, Mi-Zhen

作者机构：

关键词： Fragaria vesca;microRNA;miR-RACE;qRT-PCR

期刊名称：JOURNAL OF HEREDITY （ 影响因子：2.645； 五年影响因子：3.069 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： MicroRNAs (miRNAs) are small, endogenously expressed, nonprotein-coding RNAs that regulate gene expression at the post-transcriptional level in both animals and plants through repressing translation or inducing mRNA degradation. A comprehensive strategy to identify new miRNA homologs by mining the repository of available strawberry expressed sequence tags (ESTs) was developed. By adopting a range of filtering criteria, we identified 11 potential miRNAs belonging to 5 miRNA families from 47890 Fragaria vesca EST sequences. Using 2 specific 5′ and 3′ miRNA RACE PCR reactions and a sequence-directed cloning method, we accurately determined both end sequences of 5 candidate miRNAs. Meanwhile, qRT-PCR was used to detect the expression of these 5 miRNAs in different strawberry organs and tissues at several growing stages. These newly identified F. vesca miRNAs (fve-miRNAs) and their expression information can improve our understanding of possible roles of fve-miRNAs in regulating the growth and development of F. vesca.

分类号： R394

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