The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Antibiotic Resistance Characteristics of Environmental Bacteria from an Oxytetracycline Production Wastewater Treatment Plant and the Receiving River
Open accessAbstract
We characterized the bacterial populations in surface water receiving effluent from an oxytetracycline (OTC) production plant. Additional sampling sites included the receiving river water 5 km upstream and 20 km downstream from the discharge point. High levels of OTC were found in the wastewater (WW), and the antibiotic was still detectable in river water downstream (RWD), with undetectable levels in river water upstream (RWU). A total of 341 bacterial strains were isolated using nonselective media, with the majority being identified as Gammaproteobacteria . The MICs were determined for 10 antibiotics representing seven different classes of antibiotics, and the corresponding values were significantly higher for the WW and RWD isolates than for the RWU isolates. Almost all bacteria (97%) from the WW and RWD samples demonstrated multidrug-resistant (MDR) phenotypes, while in RWU samples, these were less frequent (28%). The WW and RWD isolates were analyzed for the presence of 23 tetracycline ( tet ) resistance genes. The majority of isolates (94.2% and 95.4% in WW and RWD, respectively) harbored the corresponding genes, with tet (A) being the most common (67.0%), followed by tet (W), tet (C), tet (J), tet (L), tet (D), tet (Y), and tet (K) (in the range between 21.0% and 40.6%). Class I integrons were detected in the majority of WW and RWD isolates (97.4% and 86.2%, respectively) but were not associated with the tet genes. We hypothesize that the strong selective pressure imposed by a high concentration of OTC contributes to the wide dissemination of tetracycline resistance genes and other antibiotic resistance genes, possibly through mobile genetic elements.
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
Sampling 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
SOS response promotes horizontal dissemination of antibiotic resistance genes
Beaber, J. W., Hochhut, B., & Waldor, M. K. (2004) · Nature · doi:10.1038/nature02241 · Cited by 1,186
Levy, S. B., FitzGerald, G. B., & Macone, A. B. (1976) · New England Journal of Medicine · doi:10.1056/nejm197609092951103 · Cited by 352
Cited by
Patel, M., Kumar, R., Kishor, K., Mlsna, T., Pittman, C. U., & Mohan, D. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00299 · Cited by 2,654
Manyi-Loh, C., Mamphweli, S., Meyer, E., & Okoh, A. (2018) · Molecules · doi:10.3390/molecules23040795 · Cited by 1,808
Antibiotic use in food animals worldwide, with a focus on Africa: Pluses and minuses
Van, T. T. H., Yidana, Z., Smooker, P. M., & Coloe, P. J. (2020) · Journal of Global Antimicrobial Resistance · doi:10.1016/j.jgar.2019.07.031 · Cited by 451
Mutuku, C., Gazdag, Z., & Melegh, S. (2022) · World Journal of Microbiology and Biotechnology · doi:10.1007/s11274-022-03334-0 · Cited by 280
Metadata
- Authors
- Li, D., Yu, T., Zhang, Y., Yang, M., Li, Z., Liu, M., & Qi, R.
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2010-06
- Volume
- 76
- Issue
- 11
- Pages
- 3444-3451
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- OpenAlex
- W2114839710
- Cited by
- 292
- References
- 4
- FWCI
- 14.78
- Type
- journal article
- Language
- en
- Open access
- green
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: Antibiotic Resistance Characteristics of Environmental Bacteria from an Oxytetracycline Production Wastewater Treatment Plant and the Receiving River. https://app.cochat.ai/papers/10.1128/aem.02964-09
- The paper
- Li, D., Yu, T., Zhang, Y., Yang, M., Li, Z., Liu, M., & Qi, R. (2010). Antibiotic Resistance Characteristics of Environmental Bacteria from an Oxytetracycline Production Wastewater Treatment Plant and the Receiving River. Applied and Environmental Microbiology. https://doi.org/10.1128/aem.02964-09
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.