000150815 001__ 150815 000150815 005__ 20251017144654.0 000150815 0247_ $$2doi$$a10.1371/journal.pone.0200670 000150815 0248_ $$2sideral$$a142764 000150815 037__ $$aART-2018-142764 000150815 041__ $$aeng 000150815 100__ $$0(orcid)0000-0002-1184-5901$$aLozano Rojo, Álvaro 000150815 245__ $$aEvolutionary regime transitions in structured populations 000150815 260__ $$c2018 000150815 5060_ $$aAccess copy available to the general public$$fUnrestricted 000150815 5203_ $$aThe evolutionary dynamics of a finite population where resident individuals are replaced by mutant ones depends on its spatial structure. Usually, the population adopts the form of an undirected graph where the place occupied by each individual is represented by a vertex and it is bidirectionally linked to the places that can be occupied by its offspring. There are undirected graph structures that act as amplifiers of selection increasing the probability that the offspring of an advantageous mutant spreads through the graph reaching any vertex. But there also are undirected graph structures acting as suppressors of selection where this probability is less than that of the same individual placed in a homogeneous population. Here, firstly, we present the distribution of these evolutionary regimes for all undirected graphs with N ≤ 10 vertices. Some of them exhibit transitions between different regimes when the mutant fitness increases. In particular, as it has been already observed for small-order random graphs, we show that most graphs of order N ≤ 10 are amplifiers of selection. Secondly, we describe examples of amplifiers of order 7 that become suppressors from some critical value. In fact, for graphs of order N ≤ 7, we apply computer-aided techniques to symbolically compute their fixation probability and then their evolutionary regime, as well as the critical values for which they change their regime. Thirdly, the same technique is applied to some families of highly symmetrical graphs as a mean to explore methods of suppressing selection. The existence of suppression mechanisms that reverse an amplification regime when fitness increases could have a great interest in biology and network science. Finally, the analysis of all graphs from order 8 to order 10 reveals a complex and rich evolutionary dynamics, with multiple transitions between different regimes, which have not been examined in detail until now. 000150815 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E15$$9info:eu-repo/grantAgreement/ES/MEC/CAS17-00258$$9info:eu-repo/grantAgreement/ES/MINECO/MTM2016-77642-C2-2-P 000150815 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es 000150815 590__ $$a2.776$$b2018 000150815 591__ $$aMULTIDISCIPLINARY SCIENCES$$b22 / 68 = 0.324$$c2018$$dQ2$$eT1 000150815 592__ $$a1.1$$b2018 000150815 593__ $$aAgricultural and Biological Sciences (miscellaneous)$$c2018$$dQ1 000150815 593__ $$aMedicine (miscellaneous)$$c2018$$dQ1 000150815 593__ $$aBiochemistry, Genetics and Molecular Biology (miscellaneous)$$c2018$$dQ1 000150815 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000150815 700__ $$aGonzález Sequeiros, Pablo 000150815 700__ $$aAlcalde Cuesta, Fernando 000150815 773__ $$g13, 11 (2018), e0200670 [18 pp.]$$pPLoS One$$tPLoS ONE$$x1932-6203 000150815 8564_ $$s2183628$$uhttps://zaguan.unizar.es/record/150815/files/texto_completo.pdf$$yVersión publicada 000150815 8564_ $$s2337344$$uhttps://zaguan.unizar.es/record/150815/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000150815 909CO $$ooai:zaguan.unizar.es:150815$$particulos$$pdriver 000150815 951__ $$a2025-10-17-14:37:33 000150815 980__ $$aARTICLE