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Aeons of distress: an evolutionary perspective on the bacterial SOS response

Open access
Erill, Ivan, Campoy, Susana, Barbé, Jordi·2007·FEMS Microbiology Reviews

Abstract

The SOS response of bacteria is a global regulatory network targeted at addressing DNA damage. Governed by the products of the lexA and recA genes, it co-ordinates a comprehensive response against DNA lesions and its description in Escherichia coli has stood for years as a textbook paradigm of stress-response systems in bacteria. In this paper we review the current state of research on the SOS response outside E. coli. By retracing research on the identification of multiple diverging LexA-binding motifs across the Bacteria Domain, we show how this work has led to the description of a minimum regulon core, but also of a heterogeneous collection of SOS regulatory networks that challenges many tenets of the E. coli model. We also review recent attempts at reconstructing the evolutionary history of the SOS network that have cast new light on the SOS response. Exploiting the newly gained knowledge on LexA-binding motifs and the tight association of LexA with a recently described mutagenesis cassette, these works put forward likely evolutionary scenarios for the SOS response, and we discuss their relevance on the ultimate nature of this stress-response system and the evolutionary pressures driving its evolution.

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Crossref · 10.1111/j.1574-6976.2007.00082.x

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Metadata

Authors
Erill, I., Campoy, S., & Barbé, J.
Venue
FEMS Microbiology Reviews
Published
2007-11
Volume
31
Issue
6
Pages
637-656
ISSN
  • 0168-6445 (ISSN-L)
  • 1574-6976
OpenAlex
W1977516923
Cited by
373
References
5
FWCI
9.55
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Aeons of distress: an evolutionary perspective on the bacterial SOS response. https://app.cochat.ai/papers/10.1111/j.1574-6976.2007.00082.x
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Erill, I., Campoy, S., & Barbé, J. (2007). Aeons of distress: an evolutionary perspective on the bacterial SOS response. FEMS Microbiology Reviews. https://doi.org/10.1111/j.1574-6976.2007.00082.x

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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.