Evolutionary rescue on genotypic fitness landscapes

被引:2
|
作者
Wahl, L. M. [1 ,2 ]
Campos, Paulo R. A. [2 ]
机构
[1] Western Univ, Dept Math, London, ON N6A 5B7, Canada
[2] Univ Fed Pernambuco, Ctr Ciencias Exatas & Nat, Dept Fis, BR-50670901 Recife, PE, Brazil
基金
加拿大自然科学与工程研究理事会;
关键词
evolutionary rescue; Fisher's geometric model; moving optimum; stochastic process; FISHERS GEOMETRICAL MODEL; PARALLEL EVOLUTION; ADAPTATION; EXTINCTION; MUTATIONS; CONSERVATION; PROBABILITY; EPISTASIS; GENETICS; PATHS;
D O I
10.1098/rsif.2023.0424
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Populations facing adverse environments, novel pathogens or invasive competitors may be destined to extinction if they are unable to adapt rapidly. Quantitative predictions of the probability of survival through adaptation, evolutionary rescue, have been previously developed for one of the most natural and well-studied mappings from an organism's traits to its fitness, Fisher's geometric model (FGM). While FGM assumes that all possible trait values are accessible via mutation, in many applications only a finite set of rescue mutations will be available, such as mutations conferring resistance to a parasite, predator or toxin. We predict the probability of evolutionary rescue, via de novo mutation, when this underlying genetic structure is included. We find that rescue probability is always reduced when its genetic basis is taken into account. Unlike other known features of the genotypic FGM, however, the probability of rescue increases monotonically with the number of available mutations and approaches the behaviour of the classical FGM as the number of available mutations approaches infinity.
引用
收藏
页数:10
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