Computer simulation of arising of diploid genomes |
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Authors: | Victor S. Tretyakov Nikolay P. Tretyakov |
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Affiliation: | aLaboratory for Computational Physics and Mathematical Modeling, Peoples’ Friendship University, Miklukho-Maklaya Street 6, 117198 Moscow, Russian Federation |
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Abstract: | The haploid–diploid cycle where, under unfavorable conditions the population becomes diploid, is modeled by a Monte-Carlo method in the framework of the Jan–Stauffer–Moseley hypothesis. Diploidy and sex may have first arisen as a way to escape death, when a simple unicellular individual is threatened by too many deleterious mutations. Using a bit string model, we find that in a system where competition is present (through the Verhulst factor), diploids dominate. In this case the transition from haploid to essentially diploid population takes place in a short time interval reminiscent of phase transitions in physical systems. |
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Keywords: | Bit string model Evolution Computer simulation Diploidy Population dynamics |
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