Analysis of Nearly One Thousand Mammalian Mirtrons Reveals Novel Features of Dicer Substrates.
Mirtrons are microRNA (miRNA) substrates that utilize the splicing machinery to bypass the necessity of Drosha cleavage for their biogenesis. Expanding our recent efforts for mammalian mirtron annotation, we use meta-analysis of aggregate datasets to identify ~500 novel mouse and human introns that confidently generate diced small RNA duplexes. These comprise nearly 1000 total loci distributed in four splicing-mediated biogenesis subclasses, with 5'-tailed mirtrons as, by far, the dominant subtype. Thus, mirtrons surprisingly comprise a substantial fraction of endogenous Dicer substrates in mammalian genomes. Although mirtron-derived small RNAs exhibit overall expression correlation with their host mRNAs, we observe a subset with substantial differences that suggest regulated processing or accumulation. We identify characteristic sequence, length, and structural features of mirtron loci that distinguish them from bulk introns, and find that mirtrons preferentially emerge from genes with larger numbers of introns. While mirtrons generate miRNA-class regulatory RNAs, we also find that mirtrons exhibit many features that distinguish them from canonical miRNAs. We observe that conventional mirtron hairpins are substantially longer than Drosha-generated pre-miRNAs, indicating that the characteristic length of canonical pre-miRNAs is not a general feature of Dicer substrate hairpins. In addition, mammalian mirtrons exhibit unique patterns of ordered 5' and 3' heterogeneity, which reveal hidden complexity in miRNA processing pathways. These include broad 3'-uridylation of mirtron hairpins, atypically heterogeneous 5' termini that may result from exonucleolytic processing, and occasionally robust decapitation of the 5' guanine (G) of mirtron-5p species defined by splicing. Altogether, this study reveals that this extensive class of non-canonical miRNA bears a multitude of characteristic properties, many of which raise general mechanistic questions regarding the processing of endogenous hairpin transcripts.
Department of Developmental Biology, Sloan-Kettering Institute, New York, New York, United States of America.
Jiayu
J
Wen
Department of Developmental Biology, Sloan-Kettering Institute, New York, New York, United States of America.
Erik
E
Ladewig
Department of Developmental Biology, Sloan-Kettering Institute, New York, New York, United States of America; Tri-Institutional Program in Computational Biology and Medicine, Weill Cornell Medical College, New York, New York, United States of America.
Sol
S
Shenker
Department of Developmental Biology, Sloan-Kettering Institute, New York, New York, United States of America; Tri-Institutional Program in Computational Biology and Medicine, Weill Cornell Medical College, New York, New York, United States of America.
Jaaved
J
Mohammed
Department of Developmental Biology, Sloan-Kettering Institute, New York, New York, United States of America.
Eric C
EC
Lai
D000818:Animals; D019295:Computational Biology / Q000379:methods*; D015723:Gene Library; D006801:Humans; D051379:Mice; D035683:MicroRNAs / Q000737:chemistry* / Q000235:genetics* / Q000378:metabolism*; D008957:Models, Genetic; D043244:Ribonuclease III / Q000378:metabolism*; D017423:Sequence Analysis, RNA
D035683:MicroRNAs; D043244:Ribonuclease III