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Understanding the Evolutionary Fate of Finite Populations: The Dynamics of Mutational Effects

Authors: Silander, Olin; Tenaillon, Olivier; Chao, Lin;

Understanding the Evolutionary Fate of Finite Populations: The Dynamics of Mutational Effects

Abstract

The most consistent result in more than two decades of experimental evolution is that the fitness of populations adapting to a constant environment does not increase indefinitely, but reaches a plateau. Using experimental evolution with bacteriophage, we show here that the converse is also true. In populations small enough such that drift overwhelms selection and causes fitness to decrease, fitness declines down to a plateau. We demonstrate theoretically that both of these phenomena must be due either to changes in the ratio of beneficial to deleterious mutations, the size of mutational effects, or both. We use mutation accumulation experiments and molecular data from experimental evolution to show that the most significant change in mutational effects is a drastic increase in the rate of beneficial mutation as fitness decreases. In contrast, the size of mutational effects changes little even as organismal fitness changes over several orders of magnitude. These findings have significant implications for the dynamics of adaptation.

PLoS Biology, 5 (4)

ISSN:1544-9173

ISSN:1545-7885

Countries
Switzerland, France
Keywords

570, MESH: Molecular Sequence Data, MESH: Mutation, QH301-705.5, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Sequence Data, MESH: Epistasis, MESH: Biological Evolution, Epistasis, Genetic, MESH: Bacteriophage phi X 174, Biological Evolution, 576, Genetic, Mutation, [SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology, Biology (General), Molecular Biology, Bacteriophage phi X 174, Research Article

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    171
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
171
Top 10%
Top 10%
Top 1%
Green
gold