The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Coselection for microbial resistance to metals and antibiotics in freshwater microcosms
Abstract
Summary: Bacterial resistances to diverse metals and antibiotics are often genetically linked, suggesting that exposure to toxic metals may select for strains resistant to antibiotics and vice versa. To test the hypothesis that resistances to metals and antibiotics are coselected for in environmental microbial assemblages, we investigated the frequency of diverse resistances in freshwater microcosms amended with Cd, Ni, ampicillin or tetracycline. We found that all four toxicants significantly increased the frequency of bacterioplankton resistance to multiple, chemically unrelated metals and antibiotics. An ampicillin‐resistant strain of the opportunistic human pathogen Ralstonia mannitolilytica was enriched in microcosms amended with Cd. Frequencies of antibiotic resistance were elevated in microcosms with metal concentrations representative of industry and mining‐impacted environments (0.01–1 mM). Metal but not antibiotic amendments decreased microbial diversity, and a weeklong exposure to high concentrations of ampicillin (0.01–10 mg l −1 ) and tetracycline (0.03–30 mg l −1 ) decreased microbial abundance only slightly, implying a large reservoir of antibiotic resistance in the studied environment. Our results provide first experimental evidence that the exposure of freshwater environments to individual metals and antibiotics selects for multiresistant microorganisms, including opportunistic human pathogens.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Kolpin, D. W., Furlong, E. T., Meyer, M. T., Thurman, E. M., Zaugg, S. D., Barber, L. B., & Buxton, H. T. (2002) · Environmental Science & Technology · doi:10.1021/es011055j · Cited by 7,953
The crisis in antibiotic resistance
Neu, H. C. (1992) · Science · doi:10.1126/science.257.5073.1064 · Cited by 2,834 · cited 2×
“While the use of antibiotics in medicine and agriculture clearly stimulates the proliferation of antibiotic resistance (Neu, 1992), heavy metals and other toxicants have also been suggested to play an important role (Summers, 2002).”
BackgroundSampling the Antibiotic Resistome
D'Costa, V. M., McGrann, K. M., Hughes, D. W., & Wright, G. D. (2006) · Science · doi:10.1126/science.1120800 · Cited by 1,594
Cited by
Seiler, C., & Berendonk, T. U. (2012) · Frontiers in Microbiology · doi:10.3389/fmicb.2012.00399 · Cited by 1,018
Imran, M., Das, K. R., & Naik, M. M. (2019) · Chemosphere · doi:10.1016/j.chemosphere.2018.10.114 · Cited by 597
Zhang, Y., Gu, A. Z., Cen, T., Li, X., He, M., Li, D., & Chen, J. (2018) · Environmental Pollution · doi:10.1016/j.envpol.2018.01.032 · Cited by 472
Hu, H.-W., Wang, J.-T., Li, J., Shi, X.-Z., Ma, Y.-B., Chen, D., & He, J.-Z. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.6b03383 · Cited by 312
Heavy Metal Induced Antibiotic Resistance in Bacterium LSJC7
Chen, S., Li, X., Sun, G., Zhang, Y., Su, J., & Ye, J. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms161023390 · Cited by 128
Metadata
- Authors
- Stepanauskas, R., Glenn, T. C., Jagoe, C. H., Tuckfield, R. C., Lindell, A. H., King, C. J., & McArthur, J. V.
- Venue
- Environmental Microbiology
- Publisher
- Wiley
- Published
- 2006-07-10
- Volume
- 8
- Issue
- 9
- Pages
- 1510-1514
- ISSN
- 1462-2912 (ISSN-L)
- 1462-2920
- OpenAlex
- W2009710104
- Cited by
- 300
- References
- 3
- FWCI
- 7.75
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Coselection for microbial resistance to metals and antibiotics in freshwater microcosms. https://app.cochat.ai/papers/10.1111/j.1462-2920.2006.01091.x
- The paper
- Stepanauskas, R., Glenn, T. C., Jagoe, C. H., Tuckfield, R. C., Lindell, A. H., King, C. J., & McArthur, J. V. (2006). Coselection for microbial resistance to metals and antibiotics in freshwater microcosms. Environmental Microbiology. https://doi.org/10.1111/j.1462-2920.2006.01091.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.