Wang, Xiaoliang and Harrison, Andrew (2022) Non-kin selection enhances complexity in cooperation: A unified quantitative law. Computational Biology and Chemistry, 101. p. 107782. DOI https://doi.org/10.1016/j.compbiolchem.2022.107782
Wang, Xiaoliang and Harrison, Andrew (2022) Non-kin selection enhances complexity in cooperation: A unified quantitative law. Computational Biology and Chemistry, 101. p. 107782. DOI https://doi.org/10.1016/j.compbiolchem.2022.107782
Wang, Xiaoliang and Harrison, Andrew (2022) Non-kin selection enhances complexity in cooperation: A unified quantitative law. Computational Biology and Chemistry, 101. p. 107782. DOI https://doi.org/10.1016/j.compbiolchem.2022.107782
Abstract
How cooperation evolves in the presence of selfishness is a core problem in evolutionary biology. Selfish individuals tend to benefit themselves, which makes it harder to maintain cooperation between unrelated individuals and for living systems to evolve towards complex organizations. The general evolutionary model presented here identifies that non-kin selection is the root cause for cooperation between unrelated individuals and can enable and maintain higher complexity of biological organizations (the coexistence of more individuals of different types). The maintained number of genotypes within a cooperation organization is shown to follow a universal exponential law as a quantitative function of the population size and non-kin selection strength, showing a gene-pool-size invariance. Our results highlight that non-kin selection may be a hallmark of biological evolution, and play an important role in shaping life's potentials.
Item Type: | Article |
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Uncontrolled Keywords: | Non-kin selection Evolutionary origins Evolutionary theory Biological evolution |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Mathematics, Statistics and Actuarial Science, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 16 Dec 2022 13:55 |
Last Modified: | 30 Oct 2024 20:54 |
URI: | http://repository.essex.ac.uk/id/eprint/34403 |
Available files
Filename: Manuscript.pdf
Licence: Creative Commons: Attribution-Noncommercial-No Derivative Works 3.0