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Path probability selection in nature and path integral

Understanding of any biological evolutions, such as speciation, adaptation behavior and biodiversity pattern, is based on a fundamental concept of fitness, in which natural selection implies the improvement and progress of fitness in either direct/indirect benefit or genetic transmission to the next...

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Autores principales: Wang, Chao, Li, Min-Lan, Wang, Rui-Wu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646751/
https://www.ncbi.nlm.nih.gov/pubmed/36351916
http://dx.doi.org/10.1038/s41598-022-20235-2
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author Wang, Chao
Li, Min-Lan
Wang, Rui-Wu
author_facet Wang, Chao
Li, Min-Lan
Wang, Rui-Wu
author_sort Wang, Chao
collection PubMed
description Understanding of any biological evolutions, such as speciation, adaptation behavior and biodiversity pattern, is based on a fundamental concept of fitness, in which natural selection implies the improvement and progress of fitness in either direct/indirect benefit or genetic transmission to the next generation. However, this basic idea of biological evolution, which is mathematically described by Price equation or its related models, has not fully considered feedback effects from the environment or other generations. They lost the global dynamics of the evolutions consequently. Drawing on the idea of modern physics, we introduce the path integral by iterating the Price equation step by step to characterize the evolutionary path in which the stationary fitness is replaced by the path probability. The evolutionary selection therefore will depend on path probability instead of fitness advantage. In such a framework of the evolutionary path, the intermediate process of evolution is not always pointing to the fitness-maximizing equilibrium and multiple evolutionary paths could thus coexist without fitness advantage discrimination. This mechanism could potentially explain evolutionary strategies with the diversified fitness (e.g., coexistence of altruism and selfishness) and thus species diversity.
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spelling pubmed-96467512022-11-15 Path probability selection in nature and path integral Wang, Chao Li, Min-Lan Wang, Rui-Wu Sci Rep Article Understanding of any biological evolutions, such as speciation, adaptation behavior and biodiversity pattern, is based on a fundamental concept of fitness, in which natural selection implies the improvement and progress of fitness in either direct/indirect benefit or genetic transmission to the next generation. However, this basic idea of biological evolution, which is mathematically described by Price equation or its related models, has not fully considered feedback effects from the environment or other generations. They lost the global dynamics of the evolutions consequently. Drawing on the idea of modern physics, we introduce the path integral by iterating the Price equation step by step to characterize the evolutionary path in which the stationary fitness is replaced by the path probability. The evolutionary selection therefore will depend on path probability instead of fitness advantage. In such a framework of the evolutionary path, the intermediate process of evolution is not always pointing to the fitness-maximizing equilibrium and multiple evolutionary paths could thus coexist without fitness advantage discrimination. This mechanism could potentially explain evolutionary strategies with the diversified fitness (e.g., coexistence of altruism and selfishness) and thus species diversity. Nature Publishing Group UK 2022-11-09 /pmc/articles/PMC9646751/ /pubmed/36351916 http://dx.doi.org/10.1038/s41598-022-20235-2 Text en © The Author(s) 2022, corrected publication 2022 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wang, Chao
Li, Min-Lan
Wang, Rui-Wu
Path probability selection in nature and path integral
title Path probability selection in nature and path integral
title_full Path probability selection in nature and path integral
title_fullStr Path probability selection in nature and path integral
title_full_unstemmed Path probability selection in nature and path integral
title_short Path probability selection in nature and path integral
title_sort path probability selection in nature and path integral
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646751/
https://www.ncbi.nlm.nih.gov/pubmed/36351916
http://dx.doi.org/10.1038/s41598-022-20235-2
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