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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

作者： Dong, Qing-Hua 2 ; Han, Jian 1 ; Yu, Hua-Ping 1 ; Wang, Chen 1 ; Zhao, Mi-Zhen 3 ; Liu, Hong 1 ; Ge, An-Jing 2 ; Fang, Ji 1 ;

作者机构： 1.Nanjing Agr Univ, Coll Hort, Nanjing 210095, Jiangsu, Peoples R China

2.China Agr Univ, Plant Sci & Technol Coll, Beijing Key Lab New Technol Agr Applicat, Beijing 100094, Peoples R China

3.Jiangsu Acad Agr Sci, Inst Hort, Nanjing, Jiangsu, Peoples R China

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：

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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.

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