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Mutational bias and the protein code shape the evolution of splicing enhancers
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 mot...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275064/ https://www.ncbi.nlm.nih.gov/pubmed/32504065 http://dx.doi.org/10.1038/s41467-020-16673-z |
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author | Rong, Stephen Buerer, Luke Rhine, Christy L. Wang, Jing Cygan, Kamil J. Fairbrother, William G. |
author_facet | Rong, Stephen Buerer, Luke Rhine, Christy L. Wang, Jing Cygan, Kamil J. Fairbrother, William G. |
author_sort | Rong, Stephen |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7275064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72750642020-06-16 Mutational bias and the protein code shape the evolution of splicing enhancers Rong, Stephen Buerer, Luke Rhine, Christy L. Wang, Jing Cygan, Kamil J. Fairbrother, William G. Nat Commun Article 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. Nature Publishing Group UK 2020-06-05 /pmc/articles/PMC7275064/ /pubmed/32504065 http://dx.doi.org/10.1038/s41467-020-16673-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Rong, Stephen Buerer, Luke Rhine, Christy L. Wang, Jing Cygan, Kamil J. Fairbrother, William G. Mutational bias and the protein code shape the evolution of splicing enhancers |
title | Mutational bias and the protein code shape the evolution of splicing enhancers |
title_full | Mutational bias and the protein code shape the evolution of splicing enhancers |
title_fullStr | Mutational bias and the protein code shape the evolution of splicing enhancers |
title_full_unstemmed | Mutational bias and the protein code shape the evolution of splicing enhancers |
title_short | Mutational bias and the protein code shape the evolution of splicing enhancers |
title_sort | mutational bias and the protein code shape the evolution of splicing enhancers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275064/ https://www.ncbi.nlm.nih.gov/pubmed/32504065 http://dx.doi.org/10.1038/s41467-020-16673-z |
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