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Cited by 654

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Bacteria Subsisting on Antibiotics

Dantas, Gautam, Sommer, Morten O. A., Oluwasegun, Rantimi D., Church, George M.·2008·Science

Abstract

Antibiotics are a crucial line of defense against bacterial infections. Nevertheless, several antibiotics are natural products of microorganisms that have as yet poorly appreciated ecological roles in the wider environment. We isolated hundreds of soil bacteria with the capacity to grow on antibiotics as a sole carbon source. Of 18 antibiotics tested, representing eight major classes of natural and synthetic origin, 13 to 17 supported the growth of clonal bacteria from each of 11 diverse soils. Bacteria subsisting on antibiotics are surprisingly phylogenetically diverse, and many are closely related to human pathogens. Furthermore, each antibiotic-consuming isolate was resistant to multiple antibiotics at clinically relevant concentrations. This phenomenon suggests that this unappreciated reservoir of antibiotic-resistance determinants can contribute to the increasing levels of multiple antibiotic resistance in pathogenic bacteria.

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Crossref · 10.1126/science.1155157

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Metadata

Authors
Dantas, G., Sommer, M. O. A., Oluwasegun, R. D., & Church, G. M.
Venue
Science
Published
2008-04-04
Volume
320
Issue
5872
Pages
100-103
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2056857562
Cited by
654
References
2
FWCI
28.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Bacteria Subsisting on Antibiotics. https://app.cochat.ai/papers/10.1126/science.1155157
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Dantas, G., Sommer, M. O. A., Oluwasegun, R. D., & Church, G. M. (2008). Bacteria Subsisting on Antibiotics. Science. https://doi.org/10.1126/science.1155157

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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.