Genetic Paths to Evolutionary Rescue and the Distribution of Fitness Effects Along Them - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Genetics Année : 2019

Genetic Paths to Evolutionary Rescue and the Distribution of Fitness Effects Along Them

Résumé

The past century has seen substantial theoretical and empirical progress on the genetic basis of adaptation. Over this same period a pressing need to prevent the evolution of drug resistance has uncovered much about the potential genetic basis of persistence in declining populations. However, we have little theory to predict and generalize how persistence-by sufficiently rapid adaptation-might be realized in this explicitly demographic scenario. Here we use Fisher's geometric model with absolute fitness to begin a line of theoretical inquiry into the genetic basis of evolutionary rescue, focusing here on asexual populations that adapt through de novo mutations. We show how the dominant genetic path to rescue switches from a single mutation to multiple as mutation rates and the severity of the environmental change increase. In multi-step rescue, intermediate genotypes that themselves go extinct provide a 'springboard' to rescue genotypes. Comparing to a scenario where persistence is assured, our approach allows us to quantify how a race between evolution and extinction leads to a genetic basis of adaptation that is composed of fewer loci of larger effect. We hope this work brings awareness to the impact of demography on the genetic basis of adaptation.
Fichier principal
Vignette du fichier
Osmond_Otto_Martin_ER_multistep_genetics2019.full.pdf (616.64 Ko) Télécharger le fichier
Osmond_Otto_Martin_Genetics2019_SI.zip (7.1 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02420679 , version 1 (20-12-2019)

Identifiants

Citer

Matthew M Osmond, Sarah P Otto, Guillaume Martin. Genetic Paths to Evolutionary Rescue and the Distribution of Fitness Effects Along Them. Genetics, In press, pp.genetics.302890.2019. ⟨10.1534/genetics.119.302890⟩. ⟨hal-02420679⟩
31 Consultations
85 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More