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. 2013 Apr 24;8(4):e61742.
doi: 10.1371/journal.pone.0061742. Print 2013.

Genetic hitchhiking under heterogeneous spatial selection pressures

Affiliations

Genetic hitchhiking under heterogeneous spatial selection pressures

Kristan A Schneider et al. PLoS One. .

Abstract

During adaptive evolutionary processes substantial heterogeneity in selective pressure might act across local habitats in sympatry. Examples are selection for drug resistance in malaria or herbicide resistance in weeds. In such setups standard population-genetic assumptions (homogeneous constant selection pressures, random mating etc.) are likely to be violated. To avoid misinferences on the strength and pattern of natural selection it is therefore necessary to adjust population-genetic theory to meet the specifics driving adaptive processes in particular organisms. We introduce a deterministic model in which selection acts heterogeneously on a population of haploid individuals across different patches over which the population randomly disperses every generation. A fixed proportion of individuals mates exclusively within patches, whereas the rest mates randomly across all patches. We study how the allele frequencies at neutral markers are affected by the spread of a beneficial mutation at a closely linked locus (genetic hitchhiking). We provide an analytical solution for the frequency change and the expected heterozygosity at the neutral locus after a single copy of a beneficial mutation became fixed. We furthermore provide approximations of these solutions which allow for more obvious interpretations. In addition, we validate the results by stochastic simulations. Our results show that the application of standard population-genetic theory is accurate as long as differences across selective environments are moderate. However, if selective differences are substantial, as for drug resistance in malaria, herbicide resistance in weeds, or insecticide resistance in agriculture, it is necessary to adapt available theory to the specifics of particular organisms.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Heterozygosity as a function of .
Average relative heterozygosity formula image (left y-axis) and formula image (right y-axis) as a function of formula image assuming two patches (formula image). We assume either complete within-patch mating and dispersion (WD; formula image) according to the model introduced here, or the hard-selection Levene model (L; formula image). Solid lines correspond to exact solutions according to equations (15) and (18), respectively. Dashed lines show approximate solutions according to equation (25a) combined with equations (25b) and (25c), respectively. Dots represent the values obtained from stochastic simulations. Fitness values are shown in the boxes above the plot panels in (A) and (B). Stochastic simulations are based on formula image repetitions for each parameter combination and formula image. For the exact and approximate solutions we assumed formula image to compensate for the deterministic solution's overestimation of heterozygosity due to the prolonged initial spread of the beneficial mutation in the deterministic model.
Figure 2
Figure 2. Heterozygosity as a function of .
Average relative heterozygosity formula image as a function of formula image. See legend of Figure 1 for more details.
Figure 3
Figure 3. Exact vs. approximate average relative heterozygosity.
Average relative heterozygosity formula image as a function of formula image as given by (15) and (18), and equation (25a) combined with equation (25b). Two patches with formula image were assumed. Moreover, fitness parameters and initial frequencies are shown in the boxes above the plot panels in (A), (B), (C), and (D).

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