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Identification and characterization of a subset of microRNAs in wheat (Triticum aestivum L.)

  • Chun Su
  • , Xiaozeng Yang
  • , Shiqing Gao
  • , Yimiao Tang
  • , Changping Zhao
  • , Lei Li
  • Beijing Academy of Agricultural and Forestry Sciences
  • University of Virginia

Research output: Contribution to journal › Article › peer-review

23 Scopus citations

Abstract

MicroRNAs (miRNAs) represent a class of endogenous regulator for post-transcriptionally modulating gene expression. Elucidating complete miRNA repertoires for individual species is a long-desired goal in miRNA research. So far only 42 have been annotated for common wheat (Triticum aestivum) due to its large genome. Here, we employed miRDeep-P, a program developed previously for retrieving miRNAs from deep sequencing data in plants, to parse 14 sequenced small RNA libraries of wheat using expression sequence tags (ESTs) as the reference in lieu of a complete genome sequence. This effort identified 145 miRNAs along with the corresponding stem-looped precursors with many differentially expressed in development and associated with powdery mildew infection. Examination of the phylogenetic distribution of these miRNAs and their target genes revealed that many are conserved in monocots. The set of miRNAs identified in this study is thus useful to further miRNA research in wheat and other important cereal crop species.

Original languageEnglish
Pages (from-to)298-307
Number of pages10
JournalGenomics
Volume103
Issue number4
DOIs
StatePublished - Apr 2014
Externally publishedYes

Keywords

  • Deep sequencing
  • EST
  • MiRDeep-P
  • MicroRNA
  • Triticum aestivum
  • Wheat

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