4.8 Article

Genome-wide identification of small RNA targets based on target enrichment and microarray hybridizations

Journal

PLANT JOURNAL
Volume 59, Issue 5, Pages 840-850

Publisher

WILEY
DOI: 10.1111/j.1365-313X.2009.03904.x

Keywords

miRNA; small RNA; genomics; microarray; Arabidopsis

Categories

Funding

  1. CSIC
  2. Spanish Ministerio de Ciencia y Tecnologia [BIO2004-02502, BIO2007-66935, GEN2003-20218-C0202, CSD2007-00057-B]
  3. Comunidad de Madrid [GR/SAL/0674/2004, CCG07-CSIC/GEN-1804]

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MicroRNAs (miRNAs) and small interfering RNAs (siRNAs) are two classes of abundant 21-24 nucleotide small RNAs (smRNAs) that control gene expression in plants, mainly by guiding cleavage and degradation of target transcripts. Target identification based on predictive algorithms for base-paired complementarity requires further experimental validation and often fails to recognize miRNA:: target pairs that escape from stringent complementarity rules. Here, we report on a microarray-based methodology to identify target mRNAs of miRNAs and siRNAs at a genomic scale. This strategy takes advantage of the RNA ligase-mediated amplification of 5' cDNA ends (RLM-RACE) to isolate miRNA or siRNA cleavage products from biological samples. Cleaved transcripts are then subjected to T7 RNA polymerase-mediated amplification and microarray hybridizations. The use of suitable hybridization controls is what makes our strategy outperform previous analyses. We applied this method and identified more than 100 putative novel miRNA or siRNA target mRNAs that had not been previously predicted by computational or microarray-based methods. Our data expand the regulatory role of endogenous smRNAs to a wide range of cellular processes, with prevalence in the regulation of cellular solute homeostasis. The methodology described here is straightforward, avoids extensive computational analysis and allows simultaneous analyses of several biological replicates, thus reducing the biological variability inherent in genomic analysis. The application of this simple methodology offers a framework for systematic analysis of smRNA-guided cleaved transcriptomes in different plant tissues, genotypes or stress conditions, and should contribute to understanding of the physiological role of smRNAs in plants.

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