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Cited by 286

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Towards an integrated model of bacterial conjugation

Open access
Cabezón, Elena, Ripoll-Rozada, Jorge, Peña, Alejandro, de la Cruz, Fernando, Arechaga, Ignacio·2014·FEMS Microbiology Reviews

Abstract

Bacterial conjugation is one of the main mechanisms for horizontal gene transfer. It constitutes a key element in the dissemination of antibiotic resistance and virulence genes to human pathogenic bacteria. DNA transfer is mediated by a membrane-associated macromolecular machinery called Type IV secretion system (T4SS). T4SSs are involved not only in bacterial conjugation but also in the transport of virulence factors by pathogenic bacteria. Thus, the search for specific inhibitors of different T4SS components opens a novel approach to restrict plasmid dissemination. This review highlights recent biochemical and structural findings that shed new light on the molecular mechanisms of DNA and protein transport by T4SS. Based on these data, a model for pilus biogenesis and substrate transfer in conjugative systems is proposed. This model provides a renewed view of the mechanism that might help to envisage new strategies to curb the threating expansion of antibiotic resistance.

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Metadata

Authors
Cabezón, E., Ripoll-Rozada, J., Peña, A., de la Cruz, F., & Arechaga, I.
Venue
FEMS Microbiology Reviews
Published
2014-09
Volume
39
Issue
1
Pages
n/a-n/a
ISSN
0168-6445 (ISSN-L)
OpenAlex
W2152042464
Cited by
286
References
1
FWCI
11.49
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Towards an integrated model of bacterial conjugation. https://app.cochat.ai/papers/10.1111/1574-6976.12085
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Cabezón, E., Ripoll-Rozada, J., Peña, A., de la Cruz, F., & Arechaga, I. (2014). Towards an integrated model of bacterial conjugation. FEMS Microbiology Reviews. https://doi.org/10.1111/1574-6976.12085

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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.