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A differential equation, deduced from a DNA-type genetic algorithm with the lagging-strand-biased mutagenesis

Recent evidence indicated that the significant fidelity difference existed between the leading and lagging-strand. Using a 2-D DNA-type genetic algorithm (GA), we have shown that the lagging-stand-biased mutagenesis (disparity mutagenesis) has a significant advantage in the promotion of evolution, c...

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Detalles Bibliográficos
Autores principales: Fujihara, Ichiro, Furusawa, Mitsuru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965971/
https://www.ncbi.nlm.nih.gov/pubmed/35368546
http://dx.doi.org/10.1016/j.heliyon.2022.e09155
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author Fujihara, Ichiro
Furusawa, Mitsuru
author_facet Fujihara, Ichiro
Furusawa, Mitsuru
author_sort Fujihara, Ichiro
collection PubMed
description Recent evidence indicated that the significant fidelity difference existed between the leading and lagging-strand. Using a 2-D DNA-type genetic algorithm (GA), we have shown that the lagging-stand-biased mutagenesis (disparity mutagenesis) has a significant advantage in the promotion of evolution, compared with the traditional parity mutagenesis model. Our aim of the present study was to deduce a differential equation which well reflected the result of simulations. The analytical solution of the differential equation obtained was in good agreement with the results of the simulation experiment. Comparing the results of the disparity mutagenesis with those of the parity one, the characteristics of the disparity mutagenesis were discussed in terms of relative mutation rates between the lagging and leading strands. Conditions of the extinction of a species were also discussed.
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spelling pubmed-89659712022-03-31 A differential equation, deduced from a DNA-type genetic algorithm with the lagging-strand-biased mutagenesis Fujihara, Ichiro Furusawa, Mitsuru Heliyon Research Article Recent evidence indicated that the significant fidelity difference existed between the leading and lagging-strand. Using a 2-D DNA-type genetic algorithm (GA), we have shown that the lagging-stand-biased mutagenesis (disparity mutagenesis) has a significant advantage in the promotion of evolution, compared with the traditional parity mutagenesis model. Our aim of the present study was to deduce a differential equation which well reflected the result of simulations. The analytical solution of the differential equation obtained was in good agreement with the results of the simulation experiment. Comparing the results of the disparity mutagenesis with those of the parity one, the characteristics of the disparity mutagenesis were discussed in terms of relative mutation rates between the lagging and leading strands. Conditions of the extinction of a species were also discussed. Elsevier 2022-03-26 /pmc/articles/PMC8965971/ /pubmed/35368546 http://dx.doi.org/10.1016/j.heliyon.2022.e09155 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Fujihara, Ichiro
Furusawa, Mitsuru
A differential equation, deduced from a DNA-type genetic algorithm with the lagging-strand-biased mutagenesis
title A differential equation, deduced from a DNA-type genetic algorithm with the lagging-strand-biased mutagenesis
title_full A differential equation, deduced from a DNA-type genetic algorithm with the lagging-strand-biased mutagenesis
title_fullStr A differential equation, deduced from a DNA-type genetic algorithm with the lagging-strand-biased mutagenesis
title_full_unstemmed A differential equation, deduced from a DNA-type genetic algorithm with the lagging-strand-biased mutagenesis
title_short A differential equation, deduced from a DNA-type genetic algorithm with the lagging-strand-biased mutagenesis
title_sort differential equation, deduced from a dna-type genetic algorithm with the lagging-strand-biased mutagenesis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965971/
https://www.ncbi.nlm.nih.gov/pubmed/35368546
http://dx.doi.org/10.1016/j.heliyon.2022.e09155
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