Channon, AD and Aston, E and Belavkin, RV and Gifford, DR and Krašovec, R (2017) Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover. Scientific Reports, 7. ISSN 2045-2322

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Abstract

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.

Item Type: Article
Additional Information: This is the final published version of the article (version of record). It first appeared online via BMJ at http://dx.doi.org/10.1038/s41598-017-14628-x - please refer to any applicable terms of use of the publisher.
Uncontrolled Keywords: genetics
Subjects: Q Science > QH Natural history > QH426 Genetics
Q Science > QR Microbiology
Divisions: Faculty of Natural Sciences > School of Computing and Maths
Depositing User: Symplectic
Date Deposited: 27 Nov 2017 09:42
Last Modified: 27 Nov 2017 10:55
URI: http://eprints.keele.ac.uk/id/eprint/4270

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