Mutation and Selection in Bacteria: Modelling and Calibration.
Approximate Bayesian computation
Phase variable genes
Population genetics
Stochastic modelling
Journal
Bulletin of mathematical biology
ISSN: 1522-9602
Titre abrégé: Bull Math Biol
Pays: United States
ID NLM: 0401404
Informations de publication
Date de publication:
03 2019
03 2019
Historique:
received:
05
03
2018
accepted:
26
10
2018
pubmed:
16
11
2018
medline:
6
2
2020
entrez:
16
11
2018
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 30430330
doi: 10.1007/s11538-018-0529-9
pii: 10.1007/s11538-018-0529-9
pmc: PMC6373360
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
639-675Subventions
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/I024712/1
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 206874/Z/17/Z
Pays : United Kingdom
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