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Fixation times on directed graphs.
Brewster, David A; Nowak, Martin A; Tkadlec, Josef.
Afiliação
  • Brewster DA; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of America.
  • Nowak MA; Department of Mathematics, Harvard University, Cambridge, Massachusetts, United States of America.
  • Tkadlec J; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.
PLoS Comput Biol ; 20(7): e1012299, 2024 Jul.
Article em En | MEDLINE | ID: mdl-39024375
ABSTRACT
Computing the rate of evolution in spatially structured populations is difficult. A key quantity is the fixation time of a single mutant with relative reproduction rate r which invades a population of residents. We say that the fixation time is "fast" if it is at most a polynomial function in terms of the population size N. Here we study fixation times of advantageous mutants (r > 1) and neutral mutants (r = 1) on directed graphs, which are those graphs that have at least some one-way connections. We obtain three main results. First, we prove that for any directed graph the fixation time is fast, provided that r is sufficiently large. Second, we construct an efficient algorithm that gives an upper bound for the fixation time for any graph and any r ≥ 1. Third, we identify a broad class of directed graphs with fast fixation times for any r ≥ 1. This class includes previously studied amplifiers of selection, such as Superstars and Metafunnels. We also show that on some graphs the fixation time is not a monotonically declining function of r; in particular, neutral fixation can occur faster than fixation for small selective advantages.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Biologia Computacional Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Biologia Computacional Idioma: En Ano de publicação: 2024 Tipo de documento: Article