Bioinformatic prediction of conserved microRNAs and their target genes in eggplant (<I>Solanum melongena</I> L.)

Abstract

MicroRNAs (miRNAs), a recently discovered class of small (-21nt), non-coding, endogenous, single-stranded RNAs in eukaryotes, regulate gene expression negatively at the post-transcriptional levels depending on the extent of complementation between miRNA and mRNA. To date, a large number of miRNAs have been reported in many species, but none for eggplant (Solanum melongena L.). In this paper, a computational homology search approach based on the conservation of miRNA sequences and the stem-loop hairpin secondary structures of miRNAs was adopted. The search was started with the known plant miRNAs compared to eggplant expressed sequence tags (EST) databases to find potential miRNAs. Following a range of filtering criteria, a total of 16 potential miRNAs belonging to 12 families were identified. Three pairs of sense and antisense strand eggplant miRNAs belonging to three different miRNA families were also found. Furthermore, miR390 and miR399 sense/antisense pairs are identified for the first time in plants. Using online software psRNATarget, we further predicted the target genes of these 16 miRNAs and got 71 potential targets genes on base of 15 eggplant miRNAs. Most of these target genes were predicted to encode proteins that play key role in eggplant growth, development, metabolism, and stress responses.