RT Journal Article
T1 Suppressors of selection
A1 Alcalde Cuesta, Fernando
A1 González Sequeiros, Pablo
A1 Lozano Rojo, Álvaro
AB Inspired by recent works on evolutionary graph theory, an area of growing interest in mathematical and computational biology, we present examples of undirected structures acting as suppressors of selection for any fitness value r > 1. This means that the average fixation probability of an advantageous mutant or invader individual placed at some node is strictly less than that of this individual placed in a well-mixed population. This leads the way to study more robust structures less prone to invasion, contrary to what happens with the amplifiers of selection where the fixation probability is increased on average for advantageous invader individuals. A few families of amplifiers are known, although some effort was required to prove it. Here, we use computer aided techniques to find an exact analytical expression of the fixation probability for some graphs of small order (equal to 6, 8 and 10) proving that selection is effectively reduced for r > 1. Some numerical experiments using Monte Carlo methods are also performed for larger graphs and some variants.
PB Public Library of Science
YR 2017
FD 2017-07
LK http://hdl.handle.net/10347/15931
UL http://hdl.handle.net/10347/15931
LA eng
NO Alcalde Cuesta F, González Sequeiros P, Lozano Rojo Á (2017) Suppressors of selection. PLoS ONE 12(7): e0180549. https://doi.org/10.1371/journal.pone.0180549
NO This work was supported by the Spanish Ministry of Economy and Competitiveness (Grants MTM2013-46337-C2-2-P and MTM2016-77642-C2-2-P) to FA, PGS, and AL, the Government of Galicia (Grant GPC2015/006), and the European Regional Development Fund. AL was also supported by the Government of Aragón, the European Regional Development Fund (Grant E15 Geometría), and the Defense University Center of Zaragoza (Grant CUD 2015-10)
DS Minerva
RD 24 abr 2026