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Cited by 260

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Ecological and evolutive implications of bacterial defences against predators

Jousset, Alexandre·2012·Environmental Microbiology

Abstract

Summary: Bacterial communities are often heavily consumed by microfaunal predators, such as protozoa and nematodes. Predation is an important cause of mortality and determines the structure and activity of microbial communities in both terrestrial and aquatic ecosystems, and bacteria evolved various defence mechanisms helping them to resist predation. In this review, I summarize known antipredator defence strategies and their regulation, and explore their importance for bacterial fitness in various environmental conditions, and their implications for bacterial evolution and diversification under predation pressure. I discuss how defence mechanisms affect competition and cooperation within bacterial communities. Finally I present some implications of bacterial defence mechanisms for ecosystem services provided by microbial communities, such as nutrient cycling, virulence and the biological control of plant diseases.

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Crossref · 10.1111/j.1462-2920.2011.02627.x

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Metadata

Authors
Jousset, A.
Venue
Environmental Microbiology
Publisher
Wiley
Published
2011-10-31
Volume
14
Issue
8
Pages
1830-1843
ISSN
  • 1462-2912 (ISSN-L)
  • 1462-2920
OpenAlex
W1497150576
Cited by
260
References
5
FWCI
8.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ecological and evolutive implications of bacterial defences against predators. https://app.cochat.ai/papers/10.1111/j.1462-2920.2011.02627.x
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Jousset, A. (2012). Ecological and evolutive implications of bacterial defences against predators. Environmental Microbiology. https://doi.org/10.1111/j.1462-2920.2011.02627.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.