Data from: FST and genetic diversity in an island model with background selection
Data files
Aug 04, 2025 version files 3.39 MB
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pi_FST_m_M_0_25N.csv
394.69 KB
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pi_FST_m_M_0.01_25N.csv
394.57 KB
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pi_FST_mHigh_cM_1_25N.csv
465.48 KB
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pi_FST_mHigh_r_0_25N.csv
407.56 KB
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pi_FST_mInt_cM_1_25N.csv
398.99 KB
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pi_FST_mInt_r_0_25N.csv
401.26 KB
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pi_FST_mLow_cM_1_25N.csv
450.50 KB
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pi_FST_mLow_r_0_25N.csv
393.05 KB
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pi_N_1000_r_0_d_1.csv
21.56 KB
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pi_N_1000_r_1.414e-05_d_1.csv
21.51 KB
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pi_N_10000_r_0_d_1.csv
20.98 KB
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pi_N_10000_r_1.414e-05_d_1.csv
20.80 KB
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README.md
1.73 KB
Abstract
Background selection, by which selection on deleterious alleles reduces diversity at linked neutral sites, influences patterns of total neutral diversity, πT, and genetic differentiation, FST, in structured populations. The theory of background selection may be split into two regimes: the background selection regime, where selection pressures are strong and mutation rates are sufficiently low such that deleterious alleles are at a deterministic mutation-selection balance, and the interference selection regime, where selection pressures are weak and mutation rates are sufficiently high that deleterious alleles accumulate and interfere with another, leading to selective interference. Previous work has quantified the effects of background selection on πT and FST only for deleterious alleles in the background selection regime. Furthermore, there is evidence to suggest that migration reduces the effects of background selection on FST, but this has not been fully explained. Here, we derive novel theory to predict the effects of migration on background selection experienced by a subpopulation and extend previous theory from the interference selection regime to make predictions in an island model. Using simulations, we show that this theory best predicts FST and πT. Moreover, we demonstrate that background selection may generate minimal increases in FST under sufficiently high migration rates, because migration reduces correlated effects on fitness over generations within subpopulations. However, we show that background selection may still cause substantial reductions in πT, particularly for metapopulations with a larger effective population size. Our work further extends the theory of background selection into structured populations, and suggests that background selection will minimally confound locus-to-locus FST scans.
https://doi.org/10.5061/dryad.p2ngf1w0n
Description of the data and file structure
This data was collected by running simulations in SLiM v3.7.1. The relevant code for the simulations, alongside their subsequent analysis and plotting may be found at https://github.com/asadrh8/FST-BGS
Files and variables
To test background selection theory, we ran simulations of panmictic and structured populations.
All data files labelled "pi_N" refer to panmictic populations, where the population size is described following an underscore, and all data files labelled "pi_FST" contain data from simulations of an island model (a form of structured population). The label "r" refers to the per base-pair recombination rate in the simulations from which the data is derived, "cM" refers to the map length in centimorgans of the simulated genome, and "M" refers to the map length in morgans (100 cM = 1 M). The "25N" signifies the number of generations the simulations were run for. "mLow", "mInt", and "mHigh" refer to the qualitative amount of migration in the simulations (m = {0.00045, 0.009, 0.09}).
pi_N variables
For the data files pertaining to simulations of a panmictic population, we simply recorded t and π.
pi_FST variables
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t: the heterozygous selection coefficient
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π_s: the subpopulation genetic diversity
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π_t: the total population genetic diversity
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FST: a metric of genetic differentiation
Genetic diversity is measured in terms of the average fraction of sites between any two randomly sampled haplotypes that differ.
