Estimating the Reduction in Genetic Diversity from Background Selection under Non-equilibrium Demography and Partial Selfing
Alexander Mackintosh, Maxence Brault, Denis Roze, Martin Lascoux, Sylvain Glémin

TL;DR
This study examines how background selection affects genetic diversity in species with different mating systems and population histories.
Contribution
The paper introduces a new method to jointly estimate background selection, demography, and selfing rates from genomic data.
Findings
The classic-BGS model is robust to demographic non-equilibrium and low selfing rates but leads to biased DFE estimates.
High selfing rates cause poor estimation of both B¯ and DFE parameters.
The new method reduces bias and explains genetic diversity differences in Capsella species.
Abstract
The effect of natural selection on linked sites has been suggested to be a major determinant of genetic diversity. While it is in principle possible to estimate this effect from genome sequence data, interactions between selection, demography and inbreeding are expected to make inference less reliable. Here, we investigate whether the genome-wide reduction in diversity due to background selection (B¯) can be accurately estimated when populations are at demographic non-equilibrium and/or reproduce by partial self-fertilization. We show that the classic-BGS model is surprisingly robust to both demographic non-equilibrium and low rates of selfing, although both processes do lead to biased estimation of the distribution of fitness effects (DFE) of deleterious mutations. A high rate of selfing leads to poor estimation of both B¯ and DFE parameters. We propose an alternative approach where…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsGenetic diversity and population structure · Evolution and Genetic Dynamics · Genetic and phenotypic traits in livestock
