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Aperta - TÜBİTAK Açık Arşivi
Other literature type . 2001
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Strategies for the evolution of sex

Authors: Tuzel, E; Sevim, V; Erzan, A;

Strategies for the evolution of sex

Abstract

We find that the hypothesis made by Jan, Stauffer and Moseley [Theory in Biosc., 119, 166 (2000)] for the evolution of sex, namely a strategy devised to escape extinction due to too many deleterious mutations, is sufficient but not necessary for the successful evolution of a steady state population of sexual individuals within a finite population. Simply allowing for a finite probability for conversion to sex in each generation also gives rise to a stable sexual population, in the presence of an upper limit on the number of deleterious mutations per individual. For large values of this probability, we find a phase transition to an intermittent, multi-stable regime. On the other hand, in the limit of extremely slow drive, another transition takes place to a different steady state distribution, with fewer deleterious mutations within the asexual population.

RevTeX, 11 pages, multicolumn, including 12 figures

Country
Turkey
Keywords

Male, Time Factors, Evolution, Biophysics, Mitosis, FOS: Physical sciences, Condensed Matter - Soft Condensed Matter, Haploidy, Senescence, Biophysical Phenomena, Penna model, Evolution, Molecular, Centre of gravity, Genetics, Animals, Physics - Biological Physics, Cloning, Molecular, Quantitative Biology - Populations and Evolution, Biology, Condensed Matter - Statistical Mechanics, Probability, Mathematical models, Models, Genetic, Statistical Mechanics (cond-mat.stat-mech), Physics, Reproduction, Populations and Evolution (q-bio.PE), Viscoelasticity, Hypothesis, Sex Determination Processes, Diploidy, Genes, Phase transitions, Biological Physics (physics.bio-ph), FOS: Biological sciences, Mutation, Soft Condensed Matter (cond-mat.soft), Sex, Female, Statistical mechanics, Asexual steady state, Model

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selected citations
These citations are derived from selected sources.
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!
8
Average
Top 10%
Average
Green