SLiM 3: Forward Genetic Simulations Beyond the Wright-Fisher Model.

Area of Science:

• Evolutionary Biology
• Computational Biology
• Population Genetics

Background:

• Forward genetic simulations are crucial for modeling population genetic processes realistically.
• The SLiM framework, while powerful, is based on the Wright-Fisher model, limiting its adaptability to complex ecological scenarios.
• Existing limitations include difficulty in modeling explicit space, overlapping generations, density dependence, and individual variation.

Purpose of the Study:

• To introduce SLiM 3, a new version of the SLiM forward genetic simulation framework.
• To overcome the limitations of the Wright-Fisher model in population genetic simulations.
• To enable more realistic modeling of ecological and evolutionary processes.

Main Methods:

• Introduction of a new non-Wright-Fisher (nonWF) model type within SLiM 3.
• Implementation of support for continuous space, including spatial interactions and environmental variables.
• Development of example models to demonstrate the new features and capabilities.

Main Results:

• The nonWF model type in SLiM 3 facilitates the implementation of diverse and complex population genetic models.
• SLiM 3 now supports continuous spatial structures, enabling spatially explicit simulations.
• The new features allow for modeling scenarios previously intractable with the Wright-Fisher foundation.

Conclusions:

• SLiM 3 significantly advances the capabilities of forward genetic simulations.
• The enhanced flexibility and spatial support in SLiM 3 empower researchers to model a wider range of realistic evolutionary scenarios.
• This updated framework is expected to be a valuable tool for modern evolutionary biology research.