Literature DB >> 23097425

Cotranscriptional splicing efficiency differs dramatically between Drosophila and mouse.

Yevgenia L Khodor1, Jerome S Menet, Michael Tolan, Michael Rosbash.   

Abstract

Spliceosome assembly and/or splicing of a nascent transcript may be crucial for proper isoform expression and gene regulation in higher eukaryotes. We recently showed that cotranscriptional splicing occurs efficiently in Drosophila, but there are not comparable genome-wide nascent splicing data from mammals. To provide this comparison, we analyze a recently generated, high-throughput sequencing data set of mouse liver nascent RNA, originally studied for circadian transcriptional regulation. Cotranscriptional splicing is approximately twofold less efficient in mouse liver than in Drosophila, i.e., nascent intron levels relative to exon levels are ∼0.55 in mouse versus 0.25 in the fly. An additional difference between species is that only mouse cotranscriptional splicing is optimal when 5'-exon length is between 50 and 500 bp, and intron length does not correlate with splicing efficiency, consistent with exon definition. A similar analysis of intron and exon length dependence in the fly is more consistent with intron definition. Contrasted with these differences are many similarities between the two systems: Alternatively annotated introns are less efficiently spliced cotranscriptionally than constitutive introns, and introns of single-intron genes are less efficiently spliced than introns from multi-intron genes. The most striking common feature is intron position: Cotranscriptional splicing is much more efficient when introns are far from the 3' ends of their genes. Additionally, absolute gene length correlates positively with cotranscriptional splicing efficiency independently of intron location and position, in flies as well as in mice. The gene length and distance effects indicate that more "nascent time" gives rise to greater cotranscriptional splicing efficiency in both systems.

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Year:  2012        PMID: 23097425      PMCID: PMC3504670          DOI: 10.1261/rna.034090.112

Source DB:  PubMed          Journal:  RNA        ISSN: 1355-8382            Impact factor:   4.942


  73 in total

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Authors:  Daniel F Tardiff; Scott A Lacadie; Michael Rosbash
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8.  Ensembl 2012.

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Journal:  Nucleic Acids Res       Date:  2011-11-15       Impact factor: 16.971

9.  Nascent-Seq reveals novel features of mouse circadian transcriptional regulation.

Authors:  Jerome S Menet; Joseph Rodriguez; Katharine C Abruzzi; Michael Rosbash
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10.  TopHat: discovering splice junctions with RNA-Seq.

Authors:  Cole Trapnell; Lior Pachter; Steven L Salzberg
Journal:  Bioinformatics       Date:  2009-03-16       Impact factor: 6.937

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  57 in total

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2.  Constitutive splicing and economies of scale in gene expression.

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Review 4.  What happens at or after transcription: Insights into circRNA biogenesis and function.

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Review 5.  Nascent RNA and the Coordination of Splicing with Transcription.

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Journal:  Cold Spring Harb Perspect Biol       Date:  2019-08-01       Impact factor: 10.005

Review 6.  Reflections on the history of pre-mRNA processing and highlights of current knowledge: a unified picture.

Authors:  James E Darnell
Journal:  RNA       Date:  2013-02-25       Impact factor: 4.942

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Authors:  Amy Pandya-Jones; Dev M Bhatt; Chia-Ho Lin; Ann-Jay Tong; Stephen T Smale; Douglas L Black
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Review 8.  Connecting the dots: chromatin and alternative splicing in EMT.

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Review 9.  Mechanisms and Regulation of Alternative Pre-mRNA Splicing.

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Review 10.  Dynamic integration of splicing within gene regulatory pathways.

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