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Mol Biol Evol. 2019 Mar 1;36(3):632-637. doi: 10.1093/molbev/msy228.

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

Author information

1
Department of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY.

Abstract

With the desire to model population genetic processes under increasingly realistic scenarios, forward genetic simulations have become a critical part of the toolbox of modern evolutionary biology. The SLiM forward genetic simulation framework is one of the most powerful and widely used tools in this area. However, its foundation in the Wright-Fisher model has been found to pose an obstacle to implementing many types of models; it is difficult to adapt the Wright-Fisher model, with its many assumptions, to modeling ecologically realistic scenarios such as explicit space, overlapping generations, individual variation in reproduction, density-dependent population regulation, individual variation in dispersal or migration, local extinction and recolonization, mating between subpopulations, age structure, fitness-based survival and hard selection, emergent sex ratios, and so forth. In response to this need, we here introduce SLiM 3, which contains two key advancements aimed at abolishing these limitations. First, the new non-Wright-Fisher or "nonWF" model type provides a much more flexible foundation that allows the easy implementation of all of the above scenarios and many more. Second, SLiM 3 adds support for continuous space, including spatial interactions and spatial maps of environmental variables. We provide a conceptual overview of these new features, and present several example models to illustrate their use.

KEYWORDS:

eco-evolutionary dynamics; genealogy simulation; landscape modeling; spatial population dynamics; tree sequence recording; whole-population modeling

PMID:
30517680
PMCID:
PMC6389312
DOI:
10.1093/molbev/msy228
[Indexed for MEDLINE]
Free PMC Article

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