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Cited by 743

The DOI matches its Crossref record; 199 of the 199 references it cites were found in a registry or an index.

Integrons: Past, Present, and Future

Open access
Gillings, Michael R.·2014·Microbiology and Molecular Biology Reviews

Abstract

SUMMARY: Integrons are versatile gene acquisition systems commonly found in bacterial genomes. They are ancient elements that are a hot spot for genomic complexity, generating phenotypic diversity and shaping adaptive responses. In recent times, they have had a major role in the acquisition, expression, and dissemination of antibiotic resistance genes. Assessing the ongoing threats posed by integrons requires an understanding of their origins and evolutionary history. This review examines the functions and activities of integrons before the antibiotic era. It shows how antibiotic use selected particular integrons from among the environmental pool of these elements, such that integrons carrying resistance genes are now present in the majority of Gram-negative pathogens. Finally, it examines the potential consequences of widespread pollution with the novel integrons that have been assembled via the agency of human antibiotic use and speculates on the potential uses of integrons as platforms for biotechnology.

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Metadata

Authors
Gillings, M. R.
Venue
Microbiology and Molecular Biology Reviews
Published
2014-06
Volume
78
Issue
2
Pages
257-277
ISSN
  • 1092-2172 (ISSN-L)
  • 1098-5557
OpenAlex
W1990524884
Cited by
743
References
199
FWCI
2.68
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Integrons: Past, Present, and Future. https://app.cochat.ai/papers/10.1128/mmbr.00056-13
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Gillings, M. R. (2014). Integrons: Past, Present, and Future. Microbiology and Molecular Biology Reviews. https://doi.org/10.1128/mmbr.00056-13

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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.