In silico identification of candidate miRNA-encoded Peptides in four Fabaceae species.

MicroRNAs (miRNAs) are one of the main regulators of gene expression. Recent studies have demonstrated that primary transcripts of miRNAs (pri-miRNAs) encode regulatory peptides, called miRNA-encoded peptides (miPEPs), capable of enhancing the expression of their associated miRNAs in plants. In this work, we aimed to computationally identify miPEPs produced by small open reading frames (ORFs) in pri-miRNAs from four species of Fabaceae.