Computational Model Library

HyperMu’NmGA - Effect of Hypermutation Cycles in a NetLogo Minimal Genetic Algorithm (1.2.0)

A minimal genetic algorithm was previously developed in order to solve an elementary arithmetic problem. It has been modified to explore the effect of a mutator gene and the consequent entrance into a hypermutation state. The phenomenon seems relevant in some types of tumorigenesis and in a more general way, in cells and tissues submitted to chronic sublethal environmental or genomic stress.
For a long time, some scholars suppose that organisms speed up their own evolution by varying mutation rate, but evolutionary biologists are not convinced that evolution can select a mechanism promoting more (often harmful) mutations looking forward to an environmental challenge.
The model aims to shed light on these controversial points of view and it provides also the features required to check the role of sex and genetic recombination in the mutator genes diffusion.

HyperMu-MGA.gif

Release Notes

For the purpose of demonstration, a web-app version of the model can be accessed via the following URL:
http://modelingcommons.org/browse/one_model/6451#model_tabs_browse_nlw
A preliminary characterization of the model is downloadable here: https://www.academia.edu/88896260/Effects_of_Mutator_Genes_in_a_Minimal_Genetic_Agorithm

Associated Publications

doi.org/10.25937/db7w-zt41

HyperMu’NmGA - Effect of Hypermutation Cycles in a NetLogo Minimal Genetic Algorithm 1.2.0

A minimal genetic algorithm was previously developed in order to solve an elementary arithmetic problem. It has been modified to explore the effect of a mutator gene and the consequent entrance into a hypermutation state. The phenomenon seems relevant in some types of tumorigenesis and in a more general way, in cells and tissues submitted to chronic sublethal environmental or genomic stress.
For a long time, some scholars suppose that organisms speed up their own evolution by varying mutation rate, but evolutionary biologists are not convinced that evolution can select a mechanism promoting more (often harmful) mutations looking forward to an environmental challenge.
The model aims to shed light on these controversial points of view and it provides also the features required to check the role of sex and genetic recombination in the mutator genes diffusion.

Release Notes

For the purpose of demonstration, a web-app version of the model can be accessed via the following URL:
http://modelingcommons.org/browse/one_model/6451#model_tabs_browse_nlw
A preliminary characterization of the model is downloadable here: https://www.academia.edu/88896260/Effects_of_Mutator_Genes_in_a_Minimal_Genetic_Agorithm

Version Submitter First published Last modified Status
1.2.0 Cosimo Leuci Sun Jul 31 09:08:14 2022 Tue Oct 24 19:17:41 2023 Published Peer Reviewed https://doi.org/10.25937/04ee-e565
1.0.0 Cosimo Leuci Tue Oct 27 21:15:40 2020 Tue Jun 29 11:08:55 2021 Published Peer Reviewed https://doi.org/10.25937/gdwp-ej02

Discussion

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