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Establishment in a new habitat by polygenic adaptation
1Institute of Science and Technology, Am Campus I, A-3400 Klosterneuberg, Austria.
Theoretical Population Biology
|December 17, 2017
Summary
Evolutionary rescue allows maladapted populations to colonize new habitats by adapting their growth rate. Success depends on initial genetic variation and migration rates, with thresholds impacting adaptation speed.
Area of Science:
- Evolutionary biology
- Population genetics
- Ecology
Background:
- Colonization of new habitats by maladapted populations requires rapid adaptation for survival, a process termed evolutionary rescue.
- Log fitness in a novel environment is modeled as a polygenic trait, crucial for understanding population establishment.
Purpose of the Study:
- To investigate the probability of successful colonization by analyzing the evolution of growth rate under the infinitesimal model.
- To determine how population parameters, migration rates, and genetic variation influence evolutionary rescue.
Main Methods:
- Utilized the infinitesimal model to track the evolution of log fitness as a polygenic trait.
- Employed deterministic and diffusion approximations to model population dynamics and trait evolution.
- Analyzed the impact of genetic variance, mean fitness, and migration rates on establishment probability.
Main Results:
- Establishment probability is contingent on the mean and genetic variance of the trait in the source population.
- Low initial mean fitness significantly reduces colonization success, with founder's fitness and offspring adaptation being key factors.
- Migration rates influence establishment: rare migration speeds up expected time, while high rates can trap populations in a 'sink' state, hindering adaptation.
Conclusions:
- Evolutionary rescue is a complex process influenced by genetic architecture, population parameters, and migration dynamics.
- A threshold migration rate exists, above which gene flow impedes adaptation, increasing establishment time.
- The study provides a framework for predicting colonization success and understanding adaptation in novel environments.
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