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Amplifiers of selection for the Moran process with both Birth-death and death-Birth updating.
Svoboda, Jakub; Joshi, Soham; Tkadlec, Josef; Chatterjee, Krishnendu.
Afiliação
  • Svoboda J; IST Austria, Klosterneuburg, Austria.
  • Joshi S; IST Austria, Klosterneuburg, Austria.
  • Tkadlec J; Computer Science Institute, Charles University, Prague, Czech Republic.
  • Chatterjee K; IST Austria, Klosterneuburg, Austria.
PLoS Comput Biol ; 20(3): e1012008, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38551989
ABSTRACT
Populations evolve by accumulating advantageous mutations. Every population has some spatial structure that can be modeled by an underlying network. The network then influences the probability that new advantageous mutations fixate. Amplifiers of selection are networks that increase the fixation probability of advantageous mutants, as compared to the unstructured fully-connected network. Whether or not a network is an amplifier depends on the choice of the random process that governs the evolutionary dynamics. Two popular choices are Moran process with Birth-death updating and Moran process with death-Birth updating. Interestingly, while some networks are amplifiers under Birth-death updating and other networks are amplifiers under death-Birth updating, so far no spatial structures have been found that function as an amplifier under both types of updating simultaneously. In this work, we identify networks that act as amplifiers of selection under both versions of the Moran process. The amplifiers are robust, modular, and increase fixation probability for any mutant fitness advantage in a range r ∈ (1, 1.2). To complement this positive result, we also prove that for certain quantities closely related to fixation probability, it is impossible to improve them simultaneously for both versions of the Moran process. Together, our results highlight how the two versions of the Moran process differ and what they have in common.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Evolução Biológica / Modelos Biológicos Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Evolução Biológica / Modelos Biológicos Idioma: En Ano de publicação: 2024 Tipo de documento: Article