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Cited by 427

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Modes and Modulations of Antibiotic Resistance Gene Expression

Open access
Depardieu, Florence, Podglajen, Isabelle, Leclercq, Roland, Collatz, Ekkehard, Courvalin, Patrice·2007·Clinical Microbiology Reviews

Abstract

SUMMARY: Since antibiotic resistance usually affords a gain of function, there is an associated biological cost resulting in a loss of fitness of the bacterial host. Considering that antibiotic resistance is most often only transiently advantageous to bacteria, an efficient and elegant way for them to escape the lethal action of drugs is the alteration of resistance gene expression. It appears that expression of bacterial resistance to antibiotics is frequently regulated, which indicates that modulation of gene expression probably reflects a good compromise between energy saving and adjustment to a rapidly evolving environment. Modulation of gene expression can occur at the transcriptional or translational level following mutations or the movement of mobile genetic elements and may involve induction by the antibiotic. In the latter case, the antibiotic can have a triple activity: as an antibacterial agent, as an inducer of resistance to itself, and as an inducer of the dissemination of resistance determinants. We will review certain mechanisms, all reversible, that bacteria have elaborated to achieve antibiotic resistance by the fine-tuning of the expression of genetic information.

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Metadata

Authors
Depardieu, F., Podglajen, I., Leclercq, R., Collatz, E., & Courvalin, P.
Venue
Clinical Microbiology Reviews
Published
2007-01
Volume
20
Issue
1
Pages
79-114
ISSN
  • 0893-8512 (ISSN-L)
  • 1098-6618
OpenAlex
W2159579053
Cited by
427
References
4
FWCI
10.86
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Modes and Modulations of Antibiotic Resistance Gene Expression. https://app.cochat.ai/papers/10.1128/cmr.00015-06
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Depardieu, F., Podglajen, I., Leclercq, R., Collatz, E., & Courvalin, P. (2007). Modes and Modulations of Antibiotic Resistance Gene Expression. Clinical Microbiology Reviews. https://doi.org/10.1128/cmr.00015-06

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.