Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover
- Submitting institution
-
University of Keele
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 345
- Type
- D - Journal article
- DOI
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10.1038/s41598-017-14628-x
- Title of journal
- Scientific Reports
- Article number
- 15519
- First page
- -
- Volume
- 7
- Issue
- 1
- ISSN
- 2045-2322
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2017
- URL
-
https://www.nature.com/articles/s41598-017-14628-x
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
5
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Illustrating the range of theoretical contributions to evolution from this collaboration, this is the first demonstration of an evolutionary model (algorithm) that is able to predict the critical mutation rate (CMR) for a species close to its wild-type mutation rate. To enable application to the study of different evolving populations, the model is parameterized by gene length, number of genes and population size. Understanding how CMR varies with population size is crucial to protecting populations under threat of extinction. The research was funded by a BBSRC collaborative project (Keele: BB/M021157/1) Adaptive landscapes of antibiotic resistance: population size and 'survival-of-the-flattest' (2015-2018).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -