Critical mutation rate has an exponential dependence on population size for eukaryotic-length genomes with crossover

Article


Aston, E., Channon, A., Belavkin, R., Gifford, D., Krašovec, R. and Knight, C. 2017. Critical mutation rate has an exponential dependence on population size for eukaryotic-length genomes with crossover. Scientific Reports. 7 (1). https://doi.org/10.1038/s41598-017-14628-x
TypeArticle
TitleCritical mutation rate has an exponential dependence on population size for eukaryotic-length genomes with crossover
AuthorsAston, E., Channon, A., Belavkin, R., Gifford, D., Krašovec, R. and Knight, C.
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.

Research GroupArtificial Intelligence group
LanguageEnglish
PublisherNature Publishing Group
JournalScientific Reports
ISSN2045-2322
Publication dates
Print14 Nov 2017
Publication process dates
Deposited09 May 2018
Accepted02 Oct 2017
Output statusPublished
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Article number=15519

Digital Object Identifier (DOI)https://doi.org/10.1038/s41598-017-14628-x
Scopus EID2-s2.0-85034080285
Web of Science identifierWOS:000415166000015
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