SUMMARY: In plants, many trans-acting small interfering RNA (ta-siRNA) regulatory pathways have been identified as significant components of the gene networks involved in development, metabolism, responses to biotic and abiotic stresses and DNA methylation at the TAS locus. To obtain a more comprehensive understanding on the nature of ta-siRNA regulatory pathways, we developed a freely accessible resource, tasiRNAdb, to serve as a repository for the sequences of ta-siRNA regulatory pathway-related microRNAs, TASs, ta-siRNAs and ta-siRNA targets, and for the cascading relations among them. With 583 pathways from 18 species, tasiRNAdb is the largest resource for known ta-siRNA regulatory pathways currently available. tasiRNAdb also provides a tool named TasExpAnalysis that was developed to map user-submitted small RNA and degradome libraries to a stored/input TAS and to perform sRNA phasing analysis and TAS cleavage analysis. AVAILABILITY: The database of plant ta-siRNA regulatory pathways is available at http://bioinfo.jit.edu.cn/tasiRNADatabase/.

MOTIVATION: Trans-acting small interfering RNAs (ta-siRNAs) play an essential role in the regulation of plant gene expression, but relevant reports are still limited. Bioinformatic analyses indicate that many ta-siRNA-producing loci (TASs) are present in plants, implying the existence of as yet undiscovered ta-siRNAs and related regulatory pathways. To expand our knowledge of these plant gene regulators, we applied high-throughput computational and experimental methods to grapevine (Vitis vinifera L.). RESULTS: Based on bioinformatic predictions, we identified 49 TASs from 49 055 small RNA clusters. Using RNA degradome analysis, we experimentally validated 5 TASs, 22 ta-siRNAs and 37 ta-siRNA targets. The cis-activities of ta-siRNAs were also confirmed, which suggested an inactive mechanism of TAS transcription, and a produced mechanism of multiple forms of small RNA from same TAS. We examined the conservation of newly identified ta-siRNA regulatory cascades and found that while the cascade related to vviTAS3 was conserved, cascades related to vviTAS7, vviTAS8, vviTAS9 and vviTAS10 were grape-specific. These results broaden the known scope of ta-siRNA regulation.

BACKGROUND: Current approaches for identifying transcriptional regulatory elements are mainly via the combination of two properties, the evolutionary conservation and the overrepresentation of functional elements in the promoters of co-regulated genes. Despite the development of many motif detection algorithms, the discovery of conserved motifs in a wide range of phylogenetically related promoters is still a challenge, especially for the short motifs embedded in distantly related gene promoters or very closely related promoters, or in the situation that there are not enough orthologous genes available. RESULTS: A mutation degree model is proposed and a new word counting method is developed for the identification of transcriptional regulatory elements from a set of co-expressed genes. The new method comprises two parts: 1) identifying overrepresented oligo-nucleotides in promoters of co-expressed genes, 2) estimating the conservation of the oligo-nucleotides in promoters of phylogenetically related genes by the mutation degree model. Compared with the performance of other algorithms, our method shows the advantages of low false positive rate and higher specificity, especially the robustness to noisy data. Applying the method to co-expressed gene sets from Arabidopsis, most of known cis-elements were successfully detected. The tool and example are available at http://mcube.nju.edu.cn/jwang/lab/soft/ocw/OCW.html. CONCLUSIONS: The mutation degree model proposed in this paper is adapted to phylogenetic data of different qualities, and to a wide range of evolutionary distances. The new word-counting method based on this model has the advantage of better performance in detecting short sequence of cis-elements from co-expressed genes of eukaryotes and is robust to less complete phylogenetic data.