bioRxivMolecular BiologyPreprint
Exitron-type splicing of intrinsically disordered regions recurs across jawed vertebrates despite sequence divergence: donor-proximal cis control in TARDBP
Takuma YamagishiiD, Shingo KoideiD, Genri ToyamaiD, Aya Washida, 舜太 大河原, Kohta YoshidaiD, Osamu OnoderaiD, Akihiro SugaiiD
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Abstract
Intrinsically disordered regions (IDRs) mediate molecular interactions but can also promote aberrant self-association. Using donors embedded within IDR-coding sequences, exitron-type splicing can remove these sequences, giving them both protein-coding and splice-regulatory roles. Yet IDR amino-acid sequences often diverge rapidly, raising the question of whether and how their coding sequences support IDR-removing splicing across species. Using RNA-seq data from jawed vertebrates, we identified events predicted to remove most of an IDR while preserving annotated structured regions. Across species, donor-flanking nucleotide identity exceeded expectations from synonymous alternatives encoding the same amino-acid sequence. TARDBP, which encodes TDP-43, provided a model for examining how coding sequences both encode IDRs and regulate exitron-type splicing. Sequence-divergent vertebrate TARDBP terminal regions supported this splicing in human cells. In teleosts, TARDBP ohnologs (tardbpa and tardbpb) encoded compositionally similar disordered tails but differed markedly in IDR-removing exitron-type splicing. Reciprocal donor-proximal substitutions in zebrafish minigenes redirected donor choice and altered the balance between IDR-retaining and IDR-removing transcripts. In corresponding reporters, these substitutions altered protein-product balance and cytoplasmic puncta formation. These findings show that IDR-removing exitron-type splicing can recur despite sequence divergence and that donor-proximal TARDBP sequences both encode IDR segments and regulate IDR inclusion, linking RNA processing to protein behavior.
- organism: human
- organism: mouse
- organism: zebrafish
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- research focus: spatial domain detection
- approach: statistical model
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