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.

Splicing is regulated by cis-acting elements in pre-mRNAs such as exonic or intronic splicing enhancers and silencers. Here the authors show that exonic splicing enhancers are enriched in exons compared to introns due to mutational bias coupled with purifying selection on the protein code.

Details

Title
Mutational bias and the protein code shape the evolution of splicing enhancers
Author
Rong, Stephen 1   VIAFID ORCID Logo  ; Buerer Luke 2 ; Rhine, Christy L 3 ; Wang, Jing 3 ; Cygan, Kamil J 4   VIAFID ORCID Logo  ; Fairbrother, William G 5 

 Brown University, Center for Computational Molecular Biology, Providence, USA (GRID:grid.40263.33) (ISNI:0000 0004 1936 9094); Brown University, Ecology and Evolutionary Biology, Providence, USA (GRID:grid.40263.33) (ISNI:0000 0004 1936 9094) 
 Brown University, Center for Computational Molecular Biology, Providence, USA (GRID:grid.40263.33) (ISNI:0000 0004 1936 9094) 
 Brown University, Molecular Biology, Cell Biology and Biochemistry, Providence, USA (GRID:grid.40263.33) (ISNI:0000 0004 1936 9094) 
 Brown University, Center for Computational Molecular Biology, Providence, USA (GRID:grid.40263.33) (ISNI:0000 0004 1936 9094); Brown University, Molecular Biology, Cell Biology and Biochemistry, Providence, USA (GRID:grid.40263.33) (ISNI:0000 0004 1936 9094) 
 Brown University, Center for Computational Molecular Biology, Providence, USA (GRID:grid.40263.33) (ISNI:0000 0004 1936 9094); Brown University, Molecular Biology, Cell Biology and Biochemistry, Providence, USA (GRID:grid.40263.33) (ISNI:0000 0004 1936 9094); Hassenfeld Child Health Innovation Institute of Brown University, Providence, USA (GRID:grid.40263.33) (ISNI:0000 0004 1936 9094) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2409865928
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.