The Interaction between Selection, Demography and Selfing and How It Affects Population Viability - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue PLoS ONE Année : 2014

The Interaction between Selection, Demography and Selfing and How It Affects Population Viability

Résumé

Population extinction due to the accumulation of deleterious mutations has only been considered to occur at small population sizes, large sexual populations being expected to efficiently purge these mutations. However, little is known about how the mutation load generated by segregating mutations affects population size and, eventually, population extinction. We propose a simple analytical model that takes into account both the demographic and genetic evolution of populations, linking population size, density dependence, the mutation load, and self-fertilisation. Analytical predictions were found to be relatively good predictors of population size and probability of population viability when verified using an explicit individual based stochastic model. We show that initially large populations do not always reach mutation-selection balance and can go extinct due to the accumulation of segregating deleterious mutations. Population survival depends not only on the relative fitness and demographic stochasticity, but also on the interaction between the two. When deleterious mutations are recessive, self-fertilisation affects viability non-monotonically and genomic cold-spots could favour the viability of outcrossing populations.
Fichier principal
Vignette du fichier
Abu Awad et al. - 2014 - The interaction between selection, demography and selfing and how it affects population viability.pdf (987.39 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01110797 , version 1 (28-01-2015)

Identifiants

Citer

Diala Abu Awad, Sophie Gallina, Cyrille Bonamy, Sylvain Billiard. The Interaction between Selection, Demography and Selfing and How It Affects Population Viability. PLoS ONE, 2014, 9, pp.e86125. ⟨10.1371/journal.pone.0086125⟩. ⟨hal-01110797⟩
70 Consultations
65 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More