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Comparative Study
. 2005 Feb 7;272(1560):311-7.
doi: 10.1098/rspb.2004.2975.

Parasites and mutational load: an experimental test of a pluralistic theory for the evolution of sex

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Comparative Study

Parasites and mutational load: an experimental test of a pluralistic theory for the evolution of sex

Tim F Cooper et al. Proc Biol Sci. .

Abstract

Ecological and mutational explanations for the evolution of sexual reproduction have usually been considered independently. Although many of these explanations have yielded promising theoretical results,experimental support for their ability to overcome a twofold cost of sex has been limited. For this reason, it has recently been argued that a pluralistic approach, combining effects from multiple models, may be necessary to explain the apparent advantage of sex. One such pluralistic model proposes that parasite load and synergistic epistasis between deleterious mutations might interact to create an advantage for recombination.Here, we test this proposal by comparing the fitness functions of parasitized and parasite-free genotypes of Escherichia coli bearing known numbers of transposon-insertion mutations. In both classes, we failed to detect any evidence for synergistic epistasis. However, the average effect of deleterious mutations was greater in parasitized than parasite-free genotypes. This effect might broaden the conditions under which another proposed model combining parasite-host coevolutionary dynamics and mutation accumulation can explain the maintenance of sex. These results suggest that, on average, deleterious mutations act multiplicatively with each other but in synergy with infection in determining fitness.

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Figures

Figure 1
Figure 1
Decline in ln-transformed mean fitness with increasing numbers of mutations. The filled circles and solid curve are parasite-free mutants relative to the non-mutated reference strain. The open circles and dashed curve are parasitized mutants relative to the parasitized non-mutated reference strain. Each curve shows the best fit of a power model to the data, with the intercept constrained to a ln-transformed fitness of zero; however, neither curve differs significantly from a log-linear model (see § 3a). Error bars show s.e.m. calculated using the jackknife method (Elena & Lenski 1997).

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