Identification and verification of microRNA in wheat (Triticum aestivum) |
| |
Authors: | Weibo Jin Nannan Li Bin Zhang Fangli Wu Wuju Li Aiguang Guo Zhiyong Deng |
| |
Affiliation: | (1) College of Life Science, Northwest A&F University, Yangling, Shaanxi, 712100, China;(2) Center of Computational Biology, Beijing Institute of Basic Medical Sciences, Beijing, 100850, China;(3) Key Laboratory for Molecular Biology of Agriculture, Shaanxi, 712100, China;(4) Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA |
| |
Abstract: | MicroRNAs (miRNAs) are small, endogenous RNAs that regulate gene expression in both plants and animals. A large number of miRNAs has been identified from various animals and model plant species such as Arabidopsis thaliana and rice (Oryza sativa); however, characteristics of wheat (Triticum aestivum) miRNAs are poorly understood. Here, computational identification of miRNAs from wheat EST sequences was preformed by using the in-house program GenomicSVM, a prediction model for miRNAs. This study resulted in the discovery of 79 miRNA candidates. Nine out of 22 miRNA representatives randomly selected from the 79 candidates were experimentally validated with Northern blotting, indicating that prediction accuracy is about 40%. For the 9 validated miRNAs, 59 wheat ESTs were predicted as their putative targets. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users. Weibo Jin and Nannan Li contributed equally to the work. |
| |
Keywords: | GenomicSVM miRNA Wheat ESTs |
本文献已被 PubMed SpringerLink 等数据库收录! |
|