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On the genetic parameter determining the efficiency of purging: an estimate for Drosophila egg‐to‐pupae viability
Authors:D. Bersabé  A. García‐Dorado
Affiliation:Departamento de Genética, Facultad de Biología, Universidad Complutense, , Madrid, Spain
Abstract:The consequences of inbreeding on fitness can be crucial in evolutionary and conservation grounds and depend upon the efficiency of purging against deleterious recessive alleles. Recently, analytical expressions have been derived to predict the evolution of mean fitness, taking into account both inbreeding and purging, which depend on an ‘effective purging coefficient (de)’. Here, we explore the validity of that predictive approach and assay the strength of purging by estimating de for egg‐to‐pupae viability (EPV) after a drastic reduction in population size in a recently captured base population of Drosophila melanogaster. For this purpose, we first obtained estimates of the inbreeding depression rate (δ) for EPV in the base population, and we found that about 40% was due to segregating recessive lethals. Then, two sets of lines were founded from this base population and were maintained with different effective size throughout the rest of the experiment (= 6; = 12), their mean EPV being assayed at different generations. Due to purging, the reductions in mean EPV experienced by these lines were considerably smaller than the corresponding neutral predictions. For the 60% of δ attributable to nonlethal deleterious alleles, our results suggest an effective purging coefficient de > 0.02. Similarly, we obtain that de > 0.09 is required to roughly account for purging against the pooled inbreeding depression from lethal and nonlethal deleterious alleles. This implies that purging should be efficient for population sizes of the order of a few tens and larger, but might be inefficient against nonlethal deleterious alleles in smaller populations.
Keywords:bottlenecked population  conservation  effective population size  inbreeding depression  purge  reduced population
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