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Mutation and selection in bacteria: modelling and calibration

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

Authors

C.D. Bayliss

C. Fallaize

R. Howitt

M.V. Tretyakov



Abstract

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 (ABC) algorithm. The algorithms are illustrated using in vitro data for phase variable genes of Campylobacter jejuni.

Journal Article Type Article
Publication Date Nov 14, 2018
Print ISSN 0092-8240
Electronic ISSN 1522-9602
Publisher BMC
Peer Reviewed Peer Reviewed
Pages 1-37
Institution Citation Bayliss, C., Fallaize, C., Howitt, R., & Tretyakov, M. (2018). Mutation and selection in bacteria: modelling and calibration. Bulletin of Mathematical Biology, doi:10.1007/s11538-018-0529-9
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
Publisher URL https://link.springer.com/article/10.1007%2Fs11538-018-0529-9

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