2015
DOI: 10.1534/genetics.115.178160
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Selective Strolls: Fixation and Extinction in Diploids Are Slower for Weakly Selected Mutations Than for Neutral Ones

Abstract: In finite populations, an allele disappears or reaches fixation due to two main forces, selection and drift. Selection is generally thought to accelerate the process: a selected mutation will reach fixation faster than a neutral one, and a disadvantageous one will quickly disappear from the population. We show that even in simple diploid populations, this is often not true. Dominance and recessivity unexpectedly slow down the evolutionary process for weakly selected alleles. In particular, slightly advantageou… Show more

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Cited by 24 publications
(31 citation statements)
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References 39 publications
(38 reference statements)
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“…Recent work 10 12 has convincingly demonstrated, using primarily simulation and diffusion theory methods, that weakly selected alleles are sometimes expected to be older than neutral alleles observed at the same frequency when fitness in heterozygotes is non-additive. This idea was termed “selective strolls” by Mafessoni et al .…”
Section: Resultsmentioning
confidence: 99%
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“…Recent work 10 12 has convincingly demonstrated, using primarily simulation and diffusion theory methods, that weakly selected alleles are sometimes expected to be older than neutral alleles observed at the same frequency when fitness in heterozygotes is non-additive. This idea was termed “selective strolls” by Mafessoni et al .…”
Section: Resultsmentioning
confidence: 99%
“…Later work added consideration of selection 9 , yielding the well-known result that allele age is expected to be symmetric with respect to the direction of selection, and that neutral alleles are expected to be older than selected alleles observed at the same frequency (the “Maruyama effect” hereafter). Recently, an interesting exception to these classical results has been pointed out 10 12 . Mafessoni et al .…”
Section: Introductionmentioning
confidence: 99%
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“…, and for exploring theoretical ideas about evolution (Assaf, Petrov, & Blundell, 2015;Champer et al, 2018;Haller, Mazzucco, & Dieckmann, 2013;Mafessoni & Lachmann, 2015), among other purposes. Because of this broad utility, there is a growing desire to run simulations with increased realism in a variety of areas: longer genomic regions up to the scale of full genome sequences, large populations, selection at multiple loci with linkage effects, complex demography, ecological interactions with other organisms and the environment, explicit space with continuous landscapes, spatial variation in environmental variables, spatial interactions such as competition and mate choice between organisms, and so forth.…”
mentioning
confidence: 99%