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Reproductive variance can drive behavioral dynamics.
Wang, Guocheng; Su, Qi; Wang, Long; Plotkin, Joshua B.
Afiliação
  • Wang G; Center for Systems and Control, College of Engineering, Peking University, Beijing 100871, China.
  • Su Q; Center for Mathematical Biology, University of Pennsylvania, Philadelphia, PA 19104.
  • Wang L; Department of Mathematics, University of Pennsylvania, Philadelphia, PA 19104.
  • Plotkin JB; Department of Biology, University of Pennsylvania, Philadelphia, PA 19104.
Proc Natl Acad Sci U S A ; 120(12): e2216218120, 2023 03 21.
Article em En | MEDLINE | ID: mdl-36927152
The concept of fitness is central to evolution, but it quantifies only the expected number of offspring an individual will produce. The actual number of offspring is also subject to demographic stochasticity-that is, randomness associated with birth and death processes. In nature, individuals who are more fecund tend to have greater variance in their offspring number. Here, we develop a model for the evolution of two types competing in a population of nonconstant size. The fitness of each type is determined by pairwise interactions in a prisoner's dilemma game, and the variance in offspring number depends upon its mean. Although defectors are preferred by natural selection in classical population models, since they always have greater fitness than cooperators, we show that sufficiently large offspring variance can reverse the direction of evolution and favor cooperation. Large offspring variance produces qualitatively new dynamics for other types of social interactions, as well, which cannot arise in populations with a fixed size or with a Poisson offspring distribution.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Comportamento Cooperativo / Teoria dos Jogos Limite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Comportamento Cooperativo / Teoria dos Jogos Limite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China