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Title: Mutation and Selection in Bacteria: Modelling and Calibration.
Authors: Bayliss, C. D.
Fallaize, C.
Howitt, R.
Tretyakov, M. V.
First Published: 14-Nov-2018
Publisher: Springer (part of Springer Nature) for Society for Mathematical Biology
Citation: Bulletin of Mathematical Biology, 2019, 81 (3), pp. 639-675
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 algorithm. The algorithms are illustrated using in vitro data for phase variable genes of Campylobacter jejuni.
DOI Link: 10.1007/s11538-018-0529-9
eISSN: 1522-9602
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © the authors, 2018. This is an open-access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Appears in Collections:Published Articles, Dept. of Genetics

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