Computational and experimental identification of mirtrons in Drosophila melanogaster and Caenorhabditis elegans Journal Article


Authors: Chung, W. J.; Agius, P.; Westholm, J. O.; Chen, M.; Okamura, K.; Robine, N.; Leslie, C. S.; Lai, E. C.
Article Title: Computational and experimental identification of mirtrons in Drosophila melanogaster and Caenorhabditis elegans
Abstract: Mirtrons are intronic hairpin substrates of the dicing machinery that generate functional microRNAs. In this study, we describe experimental assays that defined the essential requirements for entry of introns into the mirtron pathway. These data informed a bioinformatic screen that effectively identified functional mirtrons from the Drosophila melanogaster transcriptome. These included 17 known and six confident novel mirtrons among the top 51 candidates, and additional candidates had limited read evidence in available small RNA data. Our computational model also proved effective on Caenorhabditis elegans, for which the identification of 14 cloned mirtrons among the top 22 candidates more than tripled the number of validated mirtrons in this species. A few low-scoring introns generated mirtron-like read patterns from atypical RNA structures, but their paucity suggests that relatively few such loci were not captured by our model. Unexpectedly, we uncovered examples of clustered mirtrons in both fly and worm genomes, including a <8-kb region in C. elegans harboring eight distinct mirtrons. Altogether, we demonstrate that discovery of functional mirtrons, unlike canonical miRNAs, is amenable to computational methods independent of evolutionary constraint. © 2011 by Cold Spring Harbor Laboratory Press.
Journal Title: Genome Research
Volume: 21
Issue: 2
ISSN: 1088-9051
Publisher: Cold Spring Harbor Laboratory Press  
Date Published: 2011-02-01
Start Page: 286
End Page: 300
Language: English
DOI: 10.1101/gr.113050.110
PROVIDER: scopus
PMCID: PMC3032932
PUBMED: 21177960
DOI/URL:
Notes: --- - "Cited By (since 1996): 1" - "Export Date: 4 March 2011" - "CODEN: GEREF" - "Source: Scopus"
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MSK Authors
  1. Eric C Lai
    159 Lai
  2. Nicolas Robine
    11 Robine
  3. Christina Leslie
    187 Leslie
  4. Phaedra Agius
    11 Agius
  5. Katsutomo Okamura
    26 Okamura
  6. Weijen Chung
    9 Chung
  7. Michael E Chen
    1 Chen