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Mutation and Selection in Bacteria: Modelling and Calibration

Bayliss, C. D.; Fallaize, C.; Howitt, R.; Tretyakov, M. V.

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Authors

C. D. Bayliss

R. Howitt



Abstract

© 2018, The Author(s). Temporal evolution of a clonal bacterial population is modelled taking into account reversible mutation and selection mechanisms. For the mutation model, an efficient algorithm is proposed to verify whether experimental data can be explained by this model. The selection–mutation model has unobservable fitness parameters, and, to estimate them, we use an Approximate Bayesian Computation algorithm. The algorithms are illustrated using in vitro data for phase variable genes of Campylobacter jejuni.

Citation

Bayliss, C. D., Fallaize, C., Howitt, R., & Tretyakov, M. V. (2019). Mutation and Selection in Bacteria: Modelling and Calibration. Bulletin of Mathematical Biology, 81(3), 639-675. https://doi.org/10.1007/s11538-018-0529-9

Journal Article Type Article
Acceptance Date Oct 26, 2018
Online Publication Date Nov 14, 2018
Publication Date Mar 15, 2019
Deposit Date Oct 29, 2018
Publicly Available Date Nov 27, 2018
Journal Bulletin of Mathematical Biology
Print ISSN 0092-8240
Electronic ISSN 1522-9602
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 81
Issue 3
Pages 639-675
DOI https://doi.org/10.1007/s11538-018-0529-9
Keywords Stochastic modelling, population genetics, phase variable genes,; approximate Bayesian computation; AMS classification 92D25, 62F15, 60J10
Public URL https://nottingham-repository.worktribe.com/output/1203625
Publisher URL https://link.springer.com/article/10.1007%2Fs11538-018-0529-9

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