Short Communication

Journal of Plant Research

, Volume 121, Issue 3, pp 351-355

Identification and verification of microRNA in wheat (Triticum aestivum)

  • Weibo JinAffiliated withCollege of Life Science, Northwest A&F UniversityKey Laboratory for Molecular Biology of Agriculture
  • , Nannan LiAffiliated withCollege of Life Science, Northwest A&F University
  • , Bin ZhangAffiliated withCollege of Life Science, Northwest A&F University
  • , Fangli WuAffiliated withCollege of Life Science, Northwest A&F University
  • , Wuju LiAffiliated withCenter of Computational Biology, Beijing Institute of Basic Medical Sciences
  • , Aiguang GuoAffiliated withCollege of Life Science, Northwest A&F UniversityKey Laboratory for Molecular Biology of Agriculture Email author 
  • , Zhiyong DengAffiliated withWake Forest University School of Medicine

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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.

Keywords

GenomicSVM miRNA Wheat ESTs