Computer simulation of arising of diploid genomes
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.
Year of publication: |
2008
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Authors: | Tretyakov, Victor S. ; Tretyakov, Nikolay P. |
Published in: |
Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 387.2008, 16, p. 4215-4222
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Publisher: |
Elsevier |
Subject: | Bit string model | Evolution | Computer simulation | Diploidy | Population dynamics |
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