Computational detection of microRNAs targeting transcription factor genes in Arabidopsis thaliana

Abstract

MicroRNAs, an abundant class of tiny non-coding RNAs, have emerged as negative regulators for translational repression or cleavage of target mRNAs by the manner of complementary base paring in plants and animals. Recent studies have demonstrated that many known microRNAs have a remarkable propensity to target genes involved in development, particularly those of transcription factor genes. Therefore, an overall detection of Arabidopsis thaliana microRNAs targeting transcription factor genes will enhance greatly our understanding of microRNA biological functions in plant development. By searching short complementary sequences between transcription factor open-reading frames and intergenic region sequences, and considering RNA secondary structures and the sequence conversation between the genomes of Arabidopsis and Oryza sativa, we detected 96 candidate Arabidopsis microRNAs. These candidate microRNAs were predicted to target 102 transcription factor genes that are classified as 28 transcription factor gene families, particularly those of DNA-binding transcription factor families, which imply that microRNAs might be involved in complex transcriptional regulatory networks for specifying individual cell types in plant development.