Data from: Evaluating the genetic architecture of quantitative traits via selection followed by inbreeding



The deleterious mutation model proposes that quantitative trait variation should be dominated by rare, partially recessive, deleterious mutations. Following artificial selection on a focal trait, the ratio of the difference in inbreeding effects between control and selected populations (ΔB), to the difference in trait means caused by directional selection (ΔM), can inform the extent to which deleterious mutations cause quantitative trait variation. Here, we apply the ΔB/ΔM ratio test to two quantitative traits (male mating success and body size) in Drosophila melanogaster. For both traits, ΔB/ΔM ratios suggested that intermediate-frequency alleles, rather than rare, partially recessive alleles (i.e. deleterious mutations), caused quantitative trait variation. We discuss these results in relation to viability data, exploring how differences between regimens in segregating (measured through inbreeding) and fixed (measured through population crosses) mutational load could affect the ratio test. Finally, we present simulations that test the statistical power of the ratio test, providing guidelines for future research., were collected from two artificial selection experiments: one where bidirectional selection was applied to male mating success (success- and failure-selected lines) and the other where selection was applied to body size (large- and small-selected lines). Follow artificial selection, mating success or size (depending on the treatment) were measured on outbred and inbred individuals from each replicate line. Egg-to-adult viability was also measured for inbred (see Dugand et al 2018, Sci Adv), outbred within-line, and outbred between-line crosses. The data file has four tabs: 1) results for male mating success, 2) results for size, 3) results for egg-adult viability for the size selection experiment, and 4) results for egg-adult viability for the mating success selection experiment.,
Date made available27 Mar 2019
PublisherDryad Digital Repository

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