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Mutation bias and the predictability of evolution
Predicting evolutionary outcomes is an important research goal in a diversity of contexts. The focus of evolutionary forecasting is usually on adaptive processes, and efforts to improve prediction typically focus on selection. However, adaptive processes often rely on new mutations, which can be str...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067271/ https://www.ncbi.nlm.nih.gov/pubmed/37004719 http://dx.doi.org/10.1098/rstb.2022.0055 |
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author | Cano, Alejandro V. Gitschlag, Bryan L. Rozhoňová, Hana Stoltzfus, Arlin McCandlish, David M. Payne, Joshua L. |
author_facet | Cano, Alejandro V. Gitschlag, Bryan L. Rozhoňová, Hana Stoltzfus, Arlin McCandlish, David M. Payne, Joshua L. |
author_sort | Cano, Alejandro V. |
collection | PubMed |
description | Predicting evolutionary outcomes is an important research goal in a diversity of contexts. The focus of evolutionary forecasting is usually on adaptive processes, and efforts to improve prediction typically focus on selection. However, adaptive processes often rely on new mutations, which can be strongly influenced by predictable biases in mutation. Here, we provide an overview of existing theory and evidence for such mutation-biased adaptation and consider the implications of these results for the problem of prediction, in regard to topics such as the evolution of infectious diseases, resistance to biochemical agents, as well as cancer and other kinds of somatic evolution. We argue that empirical knowledge of mutational biases is likely to improve in the near future, and that this knowledge is readily applicable to the challenges of short-term prediction. This article is part of the theme issue ‘Interdisciplinary approaches to predicting evolutionary biology’. |
format | Online Article Text |
id | pubmed-10067271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-100672712023-04-03 Mutation bias and the predictability of evolution Cano, Alejandro V. Gitschlag, Bryan L. Rozhoňová, Hana Stoltzfus, Arlin McCandlish, David M. Payne, Joshua L. Philos Trans R Soc Lond B Biol Sci Articles Predicting evolutionary outcomes is an important research goal in a diversity of contexts. The focus of evolutionary forecasting is usually on adaptive processes, and efforts to improve prediction typically focus on selection. However, adaptive processes often rely on new mutations, which can be strongly influenced by predictable biases in mutation. Here, we provide an overview of existing theory and evidence for such mutation-biased adaptation and consider the implications of these results for the problem of prediction, in regard to topics such as the evolution of infectious diseases, resistance to biochemical agents, as well as cancer and other kinds of somatic evolution. We argue that empirical knowledge of mutational biases is likely to improve in the near future, and that this knowledge is readily applicable to the challenges of short-term prediction. This article is part of the theme issue ‘Interdisciplinary approaches to predicting evolutionary biology’. The Royal Society 2023-05-22 2023-04-03 /pmc/articles/PMC10067271/ /pubmed/37004719 http://dx.doi.org/10.1098/rstb.2022.0055 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Articles Cano, Alejandro V. Gitschlag, Bryan L. Rozhoňová, Hana Stoltzfus, Arlin McCandlish, David M. Payne, Joshua L. Mutation bias and the predictability of evolution |
title | Mutation bias and the predictability of evolution |
title_full | Mutation bias and the predictability of evolution |
title_fullStr | Mutation bias and the predictability of evolution |
title_full_unstemmed | Mutation bias and the predictability of evolution |
title_short | Mutation bias and the predictability of evolution |
title_sort | mutation bias and the predictability of evolution |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067271/ https://www.ncbi.nlm.nih.gov/pubmed/37004719 http://dx.doi.org/10.1098/rstb.2022.0055 |
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