Predicting sequence and structural features of effective piRNA target binding sites

Piwi-interacting RNA (piRNA) targets are usually identified through base pairing between the piRNA seed region and complementary bases on the target mRNAs, which often results in fake predictions. Cross-linking immunoprecipitation (CLIP) study emerges as a promising method that enables accurate identification of PIWI-clade-based targets containing RNA-binding sites. In the present study, we have analyzed the piRNA-target CLIP-Seq datasets to uncover the additional characteristic features of piRNA targets. We studied important sequence and structural features using IP+ and IP- set targets that might enhance the accuracy of target site predictions. Analysis has revealed substantial enrichment of AU in target sites as well as in and around the 30 nts upstream and downstream of target sites in IP+ set relative to IP- set that might be contributing to lowering the minimal folding energy of target sites of IP+ set that might be easing the base pairing between piRNA and their targets. We have also found a lower MFE threshold (en) and higher miRanda score for piRNA targets. Interestingly, we have found that majority of the target sites are residing within 3'UTR, suggesting 3'UTR as a preferential target site like that of miRNA targets. Thus, we hypothesize that our findings on additional key features of piRNA target sites might be valuable in identifying the potential targets of piRNA accurately, which will aid in decrypting their functional importance.

Automated summary

This study analyzed piRNA-target CLIP-Seq datasets to uncover additional characteristic features of piRNA targets, which may enhance the accuracy of target site predictions.