Evolutionary Modeling in SLiM 3 for Beginners | Zendy

Benjamin C. Haller | Zendy; Philipp W. Messer | Zendy

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Evolutionary Modeling in SLiM 3 for Beginners

Author(s) -

Benjamin C. Haller,

Philipp W. Messer

Publication year - 2018

Publication title -

molecular biology and evolution

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 6.637

H-Index - 218

eISSN - 1537-1719

pISSN - 0737-4038

DOI - 10.1093/molbev/msy237

Subject(s) - biology , panmixia , selection (genetic algorithm) , simple (philosophy) , population , genetic model , software , trait , evolutionary biology , computer science , artificial intelligence , machine learning , genetic structure , genetic variation , genetics , programming language , philosophy , demography , epistemology , sociology , gene

The SLiM forward genetic simulation framework has proved to be a powerful and flexible tool for population genetic modeling. However, as a complex piece of software with many features that allow simulating a diverse assortment of evolutionary models, its initial learning curve can be difficult. Here we provide a step-by-step demonstration of how to build a simple evolutionary model in SLiM 3, to help new users get started. We will begin with a panmictic neutral model, and build up to a model of the evolution of a polygenic quantitative trait under selection for an environmental phenotypic optimum.

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