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Time dependent asymptotic analysis of the gene regulatory network of the AcrAB-TolC efflux pump system in gram-negative bacteria

Youlden, George H.; Ricci, Vito; Wang-Kan, Xuan; Piddock, Laura J.V.; Jabbari, Sara; King, John R.

Time dependent asymptotic analysis of the gene regulatory network of the AcrAB-TolC efflux pump system in gram-negative bacteria Thumbnail


Authors

George H. Youlden

Vito Ricci

Xuan Wang-Kan

Laura J.V. Piddock

Sara Jabbari



Abstract

Efflux pumps are a mechanism of intrinsic and evolved resistance in bacteria. If an efflux pump can expel an antibiotic so that its concentration within the cell is below a killing threshold the bacteria are resistant to the antibiotic. Efflux pumps may be specific or they may pump various different substances. This is why many efflux pumps confer multi drug resistance (MDR). In particular over expression of the AcrAB−TolC efflux pump system confers MDR in both Salmonella and Escherichia coli. We consider the complex gene regulation network that controls expression of genes central to controlling the efflux associated genes acrAB and acrEF in Salmonella. We present the first mathematical model of this gene regulatory network in the form of a system of ordinary differential equations. Using a time dependent asymptotic analysis, we examine in detail the behaviour of the efflux system on various different timescales. Asymptotic approximations of the steady states provide an analytical comparison of targets for efflux inhibition.

Citation

Youlden, G. H., Ricci, V., Wang-Kan, X., Piddock, L. J., Jabbari, S., & King, J. R. (2021). Time dependent asymptotic analysis of the gene regulatory network of the AcrAB-TolC efflux pump system in gram-negative bacteria. Journal of Mathematical Biology, 82, Article 31. https://doi.org/10.1007/s00285-021-01576-4

Journal Article Type Article
Acceptance Date Feb 14, 2021
Online Publication Date Mar 10, 2021
Publication Date Mar 10, 2021
Deposit Date Apr 25, 2021
Publicly Available Date Apr 27, 2021
Journal Journal of Mathematical Biology
Print ISSN 0303-6812
Electronic ISSN 1432-1416
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 82
Article Number 31
DOI https://doi.org/10.1007/s00285-021-01576-4
Public URL https://nottingham-repository.worktribe.com/output/5495862
Publisher URL https://link.springer.com/article/10.1007/s00285-021-01576-4

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