Journal of Plant Research

, Volume 121, Issue 3, pp 351–355 | Cite as

Identification and verification of microRNA in wheat (Triticum aestivum)

  • Weibo Jin
  • Nannan Li
  • Bin Zhang
  • Fangli Wu
  • Wuju Li
  • Aiguang Guo
  • Zhiyong Deng
Short Communication

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 

Notes

Acknowledgments

This work was supported by grant no. 30470411 from the National Natural Science Foundation of China.

Supplementary material

10265_2007_139_MOESM1_ESM.doc (60 kb)
Figure S1. Putative secondary structures of nine validated miRNA precursors (doc 60 kb)

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Copyright information

© The Botanical Society of Japan and Springer 2008

Authors and Affiliations

  • Weibo Jin
    • 1
    • 3
  • Nannan Li
    • 1
  • Bin Zhang
    • 1
  • Fangli Wu
    • 1
  • Wuju Li
    • 2
  • Aiguang Guo
    • 1
    • 3
  • Zhiyong Deng
    • 4
  1. 1.College of Life ScienceNorthwest A&F UniversityShaanxiChina
  2. 2.Center of Computational BiologyBeijing Institute of Basic Medical SciencesBeijingChina
  3. 3.Key Laboratory for Molecular Biology of AgricultureShaanxiChina
  4. 4.Wake Forest University School of MedicineWinston-SalemUSA

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