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Polygenic selection to a changing optimum under self-fertilisation
Matthew Hartfield1, Sylvain Glémin2,3
1Institute of Ecology and Evolution, The University of Edinburgh, Edinburgh, United Kingdom.
Plos Genetics
|July 17, 2024
Summary
Self-fertilization can enhance adaptation to new environments, despite initial challenges like selection interference. High selfing rates (≥90%) improve long-term fitness by facilitating polygenic adaptation.
Area of Science:
- Evolutionary biology
- Population genetics
Background:
- Polygenic traits are influenced by multiple genes across the genome.
- Previous studies on polygenic selection primarily focused on random-mating populations.
- Self-fertilization significantly alters genetic diversity, recombination, and genome segregation, impacting selection.
Purpose of the Study:
- To investigate the effects of self-fertilization on polygenic adaptation to new environments.
- To analyze how mating systems influence the realization of polygenic selection.
- To understand the genetic consequences of selfing during adaptation.
Main Methods:
- Analytical modeling to derive theoretical solutions for polygenic adaptation under selfing.
- Stochastic simulations to observe adaptation dynamics in populations with varying selfing rates.
- Examination of allele-frequency changes and linkage disequilibrium.
Main Results:
- Self-fertilization can increase adaptation to an environmental optimum.
- Linkage disequilibrium under selfing can initially slow favored mutation spread due to selection interference.
- High selfing rates (≥90%) promote higher long-term fitness and aid adaptation, especially with pleiotropic mutations.
- Selfing favors fixation of alleles with opposing trait effects and can lead to fixation of major variants with neutral hitchhikers.
Conclusions:
- Self-fertilization presents potential advantages for adapting to new environments.
- The mating system critically shapes the genetic architecture of polygenic adaptation.
- Understanding selfing's impact is crucial for predicting evolutionary trajectories in diverse species.
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