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Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover

The critical mutation rate (CMR) determines the shift between survival-of-the-fittest and survival of individuals with greater mutational robustness (“flattest”). We identify an inverse relationship between CMR and sequence length in an in silico system with a two-peak fitness landscape; CMR decreas...

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Autores principales: Aston, Elizabeth, Channon, Alastair, Belavkin, Roman V., Gifford, Danna R., Krašovec, Rok, Knight, Christopher G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5686101/
https://www.ncbi.nlm.nih.gov/pubmed/29138394
http://dx.doi.org/10.1038/s41598-017-14628-x
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author Aston, Elizabeth
Channon, Alastair
Belavkin, Roman V.
Gifford, Danna R.
Krašovec, Rok
Knight, Christopher G.
author_facet Aston, Elizabeth
Channon, Alastair
Belavkin, Roman V.
Gifford, Danna R.
Krašovec, Rok
Knight, Christopher G.
author_sort Aston, Elizabeth
collection PubMed
description The critical mutation rate (CMR) determines the shift between survival-of-the-fittest and survival of individuals with greater mutational robustness (“flattest”). We identify an inverse relationship between CMR and sequence length in an in silico system with a two-peak fitness landscape; CMR decreases to no more than five orders of magnitude above estimates of eukaryotic per base mutation rate. We confirm the CMR reduces exponentially at low population sizes, irrespective of peak radius and distance, and increases with the number of genetic crossovers. We also identify an inverse relationship between CMR and the number of genes, confirming that, for a similar number of genes to that for the plant Arabidopsis thaliana (25,000), the CMR is close to its known wild-type mutation rate; mutation rates for additional organisms were also found to be within one order of magnitude of the CMR. This is the first time such a simulation model has been assigned input and produced output within range for a given biological organism. The decrease in CMR with population size previously observed is maintained; there is potential for the model to influence understanding of populations undergoing bottleneck, stress, and conservation strategy for populations near extinction.
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spelling pubmed-56861012017-11-29 Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover Aston, Elizabeth Channon, Alastair Belavkin, Roman V. Gifford, Danna R. Krašovec, Rok Knight, Christopher G. Sci Rep Article The critical mutation rate (CMR) determines the shift between survival-of-the-fittest and survival of individuals with greater mutational robustness (“flattest”). We identify an inverse relationship between CMR and sequence length in an in silico system with a two-peak fitness landscape; CMR decreases to no more than five orders of magnitude above estimates of eukaryotic per base mutation rate. We confirm the CMR reduces exponentially at low population sizes, irrespective of peak radius and distance, and increases with the number of genetic crossovers. We also identify an inverse relationship between CMR and the number of genes, confirming that, for a similar number of genes to that for the plant Arabidopsis thaliana (25,000), the CMR is close to its known wild-type mutation rate; mutation rates for additional organisms were also found to be within one order of magnitude of the CMR. This is the first time such a simulation model has been assigned input and produced output within range for a given biological organism. The decrease in CMR with population size previously observed is maintained; there is potential for the model to influence understanding of populations undergoing bottleneck, stress, and conservation strategy for populations near extinction. Nature Publishing Group UK 2017-11-14 /pmc/articles/PMC5686101/ /pubmed/29138394 http://dx.doi.org/10.1038/s41598-017-14628-x Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Aston, Elizabeth
Channon, Alastair
Belavkin, Roman V.
Gifford, Danna R.
Krašovec, Rok
Knight, Christopher G.
Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover
title Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover
title_full Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover
title_fullStr Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover
title_full_unstemmed Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover
title_short Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover
title_sort critical mutation rate has an exponential dependence on population size for eukaryotic-length genomes with crossover
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5686101/
https://www.ncbi.nlm.nih.gov/pubmed/29138394
http://dx.doi.org/10.1038/s41598-017-14628-x
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