Discovering conserved insect microRNAs from expressed sequence tags.

MicroRNAs (miRNA) participate in regulating diverse biological pathways by translational repression in animals. They have attracted increasing attention recently. However, little work has been done on the miRNA genes in agriculturally important pests. Because the transcripts of most miRNA genes are the products of type-II RNA polymerase, pri-miRNA has a poly(A) tail and appears in expressed sequence tags (EST). We developed a computational pipeline to identify miRNA genes from insect ESTs. First, 980,697 ESTs from 63 insects were collected and used to search the nr database. The ESTs which did not share significant similarities with any known protein-coding genes were treated as non-coding ESTs. Next, known mature miRNAs were used to align with non-coding ESTs. The ESTs which contain the sequence of mature miRNA were treated as candidate ESTs. Finally, putative precursors were extracted flanking the mature miRNA region in candidate ESTs and evaluated by the Triplet-SVM algorithm. As a result, 86 miRNAs from 30 insect species were found based on a strict criterion while 330 miRNAs from 51 species were found based on a loose criterion. Evolution analysis indicated that mir-467, mir-297 and mir-466 were the highest conserved miRNA families in insects. To confirm the reliability of putative insect miRNAs, the expression profile of nine predicted miRNAs in Locusta migratoria was investigated. Eight miRNAs were successfully detected by RT-PCR. Most miRNAs were expressed ubiquitously at all examined tissues and developmental stages whereas Lmi-mir-509 was specifically expressed in the thorax of the 2nd, 4th and 5th instars and adult locust. In all, our work reported an efficient computational strategy for predicting miRNA genes from insect ESTs and presented tens of miRNAs in diverse insect species which are expected to participate in many important physiological processes.