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Mutational bias and the protein code shape the evolution of splicing enhancers

Author

Listed:
  • Stephen Rong

    (Brown University
    Brown University)

  • Luke Buerer

    (Brown University)

  • Christy L. Rhine

    (Brown University)

  • Jing Wang

    (Brown University)

  • Kamil J. Cygan

    (Brown University
    Brown University)

  • William G. Fairbrother

    (Brown University
    Brown University
    Hassenfeld Child Health Innovation Institute of Brown University)

Abstract

Exonic splicing enhancers (ESEs) are enriched in exons relative to introns and bind splicing activators. This study considers a fundamental question of co-evolution: How did ESE motifs become enriched in exons prior to the evolution of ESE recognition? We hypothesize that the high exon to intron motif ratios necessary for ESE function were created by mutational bias coupled with purifying selection on the protein code. These two forces retain certain coding motifs in exons while passively depleting them from introns. Through the use of simulations, genomic analyses, and high throughput splicing assays, we confirm the key predictions of this hypothesis, including an overlap between protein and splicing information in ESEs. We discuss the implications of mutational bias as an evolutionary driver in other cis-regulatory systems.

Suggested Citation

  • Stephen Rong & Luke Buerer & Christy L. Rhine & Jing Wang & Kamil J. Cygan & William G. Fairbrother, 2020. "Mutational bias and the protein code shape the evolution of splicing enhancers," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16673-z
    DOI: 10.1038/s41467-020-16673-z
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