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Drug efflux pump deficiency and drug target resistance masking in growing bacteria
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Biology. (ehrenberg)
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Biology. (ehrenberg)
Institute of Technology, University of Tartu, Tartu, Estonia.
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Biology. (ehrenberg)
2009 (English)In: Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, E-ISSN 1091-6490, Vol. 106, no 20, 8215-8220 p.Article in journal (Refereed) Published
Abstract [en]

Recent experiments have shown that drug efflux pump deficiency not only increases the susceptibility of pathogens to antibiotics, but also seems to "mask" the effects of mutations, that decrease the affinities of drugs to their intracellular targets, on the growth rates of drug-exposed bacteria. That is, in the presence of drugs, the growth rates of drug-exposed WT and target mutated strains are the same in a drug efflux pump deficient background, but the mutants grow faster than WT in a drug efflux pump proficient background. Here, we explain the mechanism of target resistance masking and show that it occurs in response to drug efflux pump inhibition among pathogens with high-affinity drug binding targets, low cell-membrane drug-permeability and insignificant intracellular drug degradation. We demonstrate that target resistance masking is fundamentally linked to growth-bistability, i.e., the existence of 2 different steady state growth rates for one and the same drug concentration in the growth medium. We speculate that target resistance masking provides a hitherto unknown mechanism for slowing down the evolution of target resistance among pathogens.

Place, publisher, year, edition, pages
2009. Vol. 106, no 20, 8215-8220 p.
Keyword [en]
antibiotic resistance, efflux pump inhibition, macrolides
National Category
Biological Sciences
Research subject
Molecular Biology
Identifiers
URN: urn:nbn:se:uu:diva-104045DOI: 10.1073/pnas.0811514106ISI: 000266209000025PubMedID: 19416855OAI: oai:DiVA.org:uu-104045DiVA: diva2:219293
Available from: 2009-05-27 Created: 2009-05-27 Last updated: 2011-01-13Bibliographically approved
In thesis
1. Modelling Approaches to Molecular Systems Biology
Open this publication in new window or tab >>Modelling Approaches to Molecular Systems Biology
2010 (English)Doctoral thesis, comprehensive summary (Other academic)
Alternative title[sv]
Systembiologisk modellering på molekylär nivå
Abstract [en]

Implementation and analysis of mathematical models can serve as a powerful tool in understanding how intracellular processes in bacteria affect the bacterial phenotype. In this thesis I have implemented and analysed models of a number of different parts of the bacterium E. coli in order to understand these types of connections. I have also developed new tools for analysis of stochastic reaction-diffusion models.

Resistance mutations in the E. coli ribosomes make the bacteria less susceptible to treatment with the antibiotic drug erythromycin compared to bacteria carrying wildtype ribosomes. The effect is dependent on efficient drug efflux pumps. In the absence of pumps for erythromycin, there is no difference in growth between wildtype and drug target resistant bacteria. I present a model explaining this unexpected phenotype, and also give the conditions for its occurrence.

Stochastic fluctuations in gene expression in bacteria, such as E. coli, result in stochastic fluctuations in biosynthesis pathways. I have characterised the effect of stochastic fluctuations in the parallel biosynthesis pathways of amino acids. I show how the average protein synthesis rate decreases with an increasing number of fluctuating amino acid production pathways. I further show how the cell can remedy this problem by using sensitive feedback control of transcription, and by optimising its expression levels of amino acid biosynthetic enzymes.

The pole-to-pole oscillations of the Min-proteins in E. coli are required for accurate mid-cell division. The phenotype of the Min-oscillations is altered in three different mutants: filamentous cells, round cells and cells with changed membrane lipid composition. I have shown that the wildtype and mutant phenotypes can be explained using a stochastic reaction-diffusion model.

In E. coli, the transcription elongation rate on the ribosmal RNA operon increases with increasing transcription initiation rate. In addition, the polymerase density varies along the ribosomal RNA operons. I present a DNA sequence dependent model that explains the transcription elongation rate speed-up, and also the density variation along the ribosomal operons. Both phenomena are explained by the RNA polymerase backtracking on the DNA.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2010. 57 p.
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 785
Keyword
stochastic reaction-diffuion kinetics, antibiotic drugs, efflux pumps, amino acid biosynthesis, Min-system, rRNA operon, transcription
National Category
Biochemistry and Molecular Biology
Research subject
Biology with specialization in Molecular Biotechnology
Identifiers
urn:nbn:se:uu:diva-132864 (URN)978-91-554-7941-1 (ISBN)
Public defence
2010-12-16, B21, BMC, Husargatan 3, Uppsala, 13:00 (English)
Opponent
Supervisors
Note
Felaktigt tryckt som Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 715Available from: 2010-11-24 Created: 2010-10-27 Last updated: 2011-03-21Bibliographically approved

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