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Towards a mechanistic foundation of evolutionary theory
Most evolutionary thinking is based on the notion of fitness and related ideas such as fitness landscapes and evolutionary optima. Nevertheless, it is often unclear what fitness actually is, and its meaning often depends on the context. Here we argue that fitness should not be a basal ingredient in...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333952/ https://www.ncbi.nlm.nih.gov/pubmed/28198700 http://dx.doi.org/10.7554/eLife.23804 |
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author | Doebeli, Michael Ispolatov, Yaroslav Simon, Burt |
author_facet | Doebeli, Michael Ispolatov, Yaroslav Simon, Burt |
author_sort | Doebeli, Michael |
collection | PubMed |
description | Most evolutionary thinking is based on the notion of fitness and related ideas such as fitness landscapes and evolutionary optima. Nevertheless, it is often unclear what fitness actually is, and its meaning often depends on the context. Here we argue that fitness should not be a basal ingredient in verbal or mathematical descriptions of evolution. Instead, we propose that evolutionary birth-death processes, in which individuals give birth and die at ever-changing rates, should be the basis of evolutionary theory, because such processes capture the fundamental events that generate evolutionary dynamics. In evolutionary birth-death processes, fitness is at best a derived quantity, and owing to the potential complexity of such processes, there is no guarantee that there is a simple scalar, such as fitness, that would describe long-term evolutionary outcomes. We discuss how evolutionary birth-death processes can provide useful perspectives on a number of central issues in evolution. DOI: http://dx.doi.org/10.7554/eLife.23804.001 |
format | Online Article Text |
id | pubmed-5333952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-53339522017-03-06 Towards a mechanistic foundation of evolutionary theory Doebeli, Michael Ispolatov, Yaroslav Simon, Burt eLife Ecology Most evolutionary thinking is based on the notion of fitness and related ideas such as fitness landscapes and evolutionary optima. Nevertheless, it is often unclear what fitness actually is, and its meaning often depends on the context. Here we argue that fitness should not be a basal ingredient in verbal or mathematical descriptions of evolution. Instead, we propose that evolutionary birth-death processes, in which individuals give birth and die at ever-changing rates, should be the basis of evolutionary theory, because such processes capture the fundamental events that generate evolutionary dynamics. In evolutionary birth-death processes, fitness is at best a derived quantity, and owing to the potential complexity of such processes, there is no guarantee that there is a simple scalar, such as fitness, that would describe long-term evolutionary outcomes. We discuss how evolutionary birth-death processes can provide useful perspectives on a number of central issues in evolution. DOI: http://dx.doi.org/10.7554/eLife.23804.001 eLife Sciences Publications, Ltd 2017-02-15 /pmc/articles/PMC5333952/ /pubmed/28198700 http://dx.doi.org/10.7554/eLife.23804 Text en © 2017, Doebeli et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Ecology Doebeli, Michael Ispolatov, Yaroslav Simon, Burt Towards a mechanistic foundation of evolutionary theory |
title | Towards a mechanistic foundation of evolutionary theory |
title_full | Towards a mechanistic foundation of evolutionary theory |
title_fullStr | Towards a mechanistic foundation of evolutionary theory |
title_full_unstemmed | Towards a mechanistic foundation of evolutionary theory |
title_short | Towards a mechanistic foundation of evolutionary theory |
title_sort | towards a mechanistic foundation of evolutionary theory |
topic | Ecology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333952/ https://www.ncbi.nlm.nih.gov/pubmed/28198700 http://dx.doi.org/10.7554/eLife.23804 |
work_keys_str_mv | AT doebelimichael towardsamechanisticfoundationofevolutionarytheory AT ispolatovyaroslav towardsamechanisticfoundationofevolutionarytheory AT simonburt towardsamechanisticfoundationofevolutionarytheory |