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

Stephen Rong, Luke Buerer, Christy L. Rhine, Jing Wang, Kamil J. Cygan and William G. Fairbrother ()
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Stephen Rong: Brown University
Luke Buerer: Brown University
Christy L. Rhine: Brown University
Jing Wang: Brown University
Kamil J. Cygan: Brown University
William G. Fairbrother: Brown University

Nature Communications, 2020, vol. 11, issue 1, 1-10

Abstract: 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.

Date: 2020
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DOI: 10.1038/s41467-020-16673-z

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