Identifications of conserved 7-mers in 3'-UTRs and microRNAs in Drosophila
- PMID: 17996040
- PMCID: PMC2241842
- DOI: 10.1186/1471-2105-8-432
Identifications of conserved 7-mers in 3'-UTRs and microRNAs in Drosophila
Abstract
Background: MicroRNAs (miRNAs) are a class of endogenous regulatory small RNAs which play an important role in posttranscriptional regulations by targeting mRNAs for cleavage or translational repression. The base-pairing between the 5'-end of miRNA and the target mRNA 3'-UTRs is essential for the miRNA:mRNA recognition. Recent studies show that many seed matches in 3'-UTRs, which are fully complementary to miRNA 5'-ends, are highly conserved. Based on these features, a two-stage strategy can be implemented to achieve the de novo identification of miRNAs by requiring the complete base-pairing between the 5'-end of miRNA candidates and the potential seed matches in 3'-UTRs.
Results: We presented a new method, which combined multiple pairwise conservation information, to identify the frequently-occurred and conserved 7-mers in 3'-UTRs. A pairwise conservation score (PCS) was introduced to describe the conservation of all 7-mers in 3'-UTRs between any two Drosophila species. Using PCSs computed from 6 pairs of flies, we developed a support vector machine (SVM) classifier ensemble, named Cons-SVM and identified 689 conserved 7-mers including 63 seed matches covering 32 out of 38 known miRNA families in the reference dataset. In the second stage, we searched for 90 nt conserved stem-loop regions containing the complementary sequences to the identified 7-mers and used the previously published miRNA prediction software to analyze these stem-loops. We predicted 47 miRNA candidates in the genome-wide screen.
Conclusion: Cons-SVM takes advantage of the independent evolutionary information from the 6 pairs of flies and shows high sensitivity in identifying seed matches in 3'-UTRs. Combining the multiple pairwise conservation information by the machine learning approach, we finally identified 47 miRNA candidates in D. melanogaster.
Figures




Similar articles
-
Computational identification of Drosophila microRNA genes.Genome Biol. 2003;4(7):R42. doi: 10.1186/gb-2003-4-7-r42. Epub 2003 Jun 30. Genome Biol. 2003. PMID: 12844358 Free PMC article.
-
MicroRNA targeting specificity in mammals: determinants beyond seed pairing.Mol Cell. 2007 Jul 6;27(1):91-105. doi: 10.1016/j.molcel.2007.06.017. Mol Cell. 2007. PMID: 17612493 Free PMC article.
-
Computational prediction and experimental validation of evolutionarily conserved microRNA target genes in bilaterian animals.BMC Genomics. 2010 Feb 9;11:101. doi: 10.1186/1471-2164-11-101. BMC Genomics. 2010. PMID: 20144220 Free PMC article.
-
miRNA Targeting: Growing beyond the Seed.Trends Genet. 2019 Mar;35(3):215-222. doi: 10.1016/j.tig.2018.12.005. Epub 2019 Jan 9. Trends Genet. 2019. PMID: 30638669 Free PMC article. Review.
-
Computational approaches for microRNA studies: a review.Mamm Genome. 2010 Feb;21(1-2):1-12. doi: 10.1007/s00335-009-9241-2. Epub 2009 Dec 15. Mamm Genome. 2010. PMID: 20012966 Review.
Cited by
-
The regulatory activity of microRNA* species has substantial influence on microRNA and 3' UTR evolution.Nat Struct Mol Biol. 2008 Apr;15(4):354-63. doi: 10.1038/nsmb.1409. Epub 2008 Mar 30. Nat Struct Mol Biol. 2008. PMID: 18376413 Free PMC article.
-
A highly conserved protein of unknown function in Sinorhizobium meliloti affects sRNA regulation similar to Hfq.Nucleic Acids Res. 2011 Jun;39(11):4691-708. doi: 10.1093/nar/gkr060. Epub 2011 Feb 15. Nucleic Acids Res. 2011. PMID: 21325267 Free PMC article.
-
The microRNA Pathway of Macroalgae: Its Similarities and Differences to the Plant and Animal microRNA Pathways.Genes (Basel). 2025 Apr 9;16(4):442. doi: 10.3390/genes16040442. Genes (Basel). 2025. PMID: 40282402 Free PMC article. Review.
-
Evolutionary dynamics of a conserved sequence motif in the ribosomal genes of the ciliate Paramecium.BMC Evol Biol. 2010 May 4;10:129. doi: 10.1186/1471-2148-10-129. BMC Evol Biol. 2010. PMID: 20441586 Free PMC article.
-
Using a kernel density estimation based classifier to predict species-specific microRNA precursors.BMC Bioinformatics. 2008 Dec 12;9 Suppl 12(Suppl 12):S2. doi: 10.1186/1471-2105-9-S12-S2. BMC Bioinformatics. 2008. PMID: 19091019 Free PMC article.
References
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Molecular Biology Databases
Research Materials