SLiM 5: Eco-evolutionary Simulations Across Multiple Chromosomes and Full Genomes

Evolutionary simulations of multiple chromosomes, even up to the scale of full-genome simulations, are becoming increasingly important in population genetics and evolutionary ecology. Unfortunately, the popular simulation framework SLiM has always been intrinsically limited to simulations of a single diploid chromosome. Modeling multiple chromosomes of different types, such as sex chromosomes, has always been cumbersome, even with scripting, presenting a substantial barrier to the development of full-genome simulations. Here we present SLiM 5, a major extension of SLiM's capabilities for simulating multiple chromosomes. Modeling up to 256 chromosomes is now possible, and each chromosome may belong to any of a wide variety of types-not just autosomes (diploid and haploid), but also sex chromosomes (X, Y, Z, and W), haploid mitochondrial and chloroplast DNA, and more. This new functionality is integrated across all of SLiM, including not only the mechanics of reproduction and inheritance, but also input and output of multi-chromosome data in formats like VCF, and tree-sequence recording across multiple chromosomes. New recipes in the SLiM manual demonstrate these new features, and SLiM's graphical modeling environment, SLiMgui, has been extended in many ways for the visualization of multi-chromosome models. These new features will open new horizons and enable a heightened level of realism for full-genome simulations.

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Publication Details

Journal
Molecular Biology and Evolution
Published
2025-11-25
DOI
https://doi.org/10.1093/molbev/msaf313
Citations
3
Primary Topic
Chromosomal and Genetic Variations
Type
article
Field-Weighted Citation Impact
5.25

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article

SLiM 5: Eco-evolutionary Simulations Across Multiple Chromosomes and Full Genomes

Benjamin C. Haller, Peter L. Ralph, Philipp W. Messer
3 citations
Molecular Biology and Evolution
Chromosomal and Genetic Variations
5.25
article

SLiM 5: Eco-evolutionary Simulations Across Multiple Chromosomes and Full Genomes

Benjamin C. Haller, Peter L. Ralph, Philipp W. Messer
article en
3 citations

Abstract

Evolutionary simulations of multiple chromosomes, even up to the scale of full-genome simulations, are becoming increasingly important in population genetics and evolutionary ecology. Unfortunately, the popular simulation framework SLiM has always been intrinsically limited to simulations of a single diploid chromosome. Modeling multiple chromosomes of different types, such as sex chromosomes, has always been cumbersome, even with scripting, presenting a substantial barrier to the development of full-genome simulations. Here we present SLiM 5, a major extension of SLiM's capabilities for simulating multiple chromosomes. Modeling up to 256 chromosomes is now possible, and each chromosome may belong to any of a wide variety of types-not just autosomes (diploid and haploid), but also sex chromosomes (X, Y, Z, and W), haploid mitochondrial and chloroplast DNA, and more. This new functionality is integrated across all of SLiM, including not only the mechanics of reproduction and inheritance, but also input and output of multi-chromosome data in formats like VCF, and tree-sequence recording across multiple chromosomes. New recipes in the SLiM manual demonstrate these new features, and SLiM's graphical modeling environment, SLiMgui, has been extended in many ways for the visualization of multi-chromosome models. These new features will open new horizons and enable a heightened level of realism for full-genome simulations.

Molecular Biology and EvolutionVol. 43(1)
University of Oregon (US), Cornell University (US)
National Institutes of Health
Openalex Percentile: Top 5%
Chromosomal and Genetic Variations
5.25
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SLiM 5: Eco-evolutionary Simulations Across Multiple Chromosomes and Full Genomes — Benjamin C. Haller, Peter L. Ralph, et al. · Molecular Biology and Evolution (2025) | TGRS Research Map | TGRS