Mutation and Selection in Bacteria: Modelling and Calibration.

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.

journal_name

Bull Math Biol

authors

Bayliss CD,Fallaize C,Howitt R,Tretyakov MV

doi

10.1007/s11538-018-0529-9

subject

Has Abstract

pub_date

2019-03-01 00:00:00

pages

639-675

issue

3

eissn

0092-8240

issn

1522-9602

pii

10.1007/s11538-018-0529-9

journal_volume

81

pub_type

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