The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Trends in Antibiotic Resistance Genes Occurrence in the Haihe River, China
Abstract
The occurrence of antibiotics and antibiotic resistance genes (ARGs) was quantified in water and sediment samples collected from a 72 km stretch of the Haihe River, China. Tetracycline resistance genes (tetW, tetQ, tetO, tetT, tetM, tetB, and tetS) were not detected by quantitative PCR in many samples. In contrast, sul1 and sul2 (coding for sulfonamide resistance) were present at relatively high concentrations in all (38) samples. The highest ARG concentrations detected were (7.8 ± 1.0) × 10(9) copies/g for sul1 and (1.7 ± 0.2) × 10(11) copies/g for sul2, in sediment samples collected during the summer. The corresponding total bacterial concentration (quantified with a universal 16S-rDNA probe) was (3.3 ± 0.4) × 10(12) cells/g. Sul1 and sul2 concentrations in sediments were 120-2000 times higher than that in water, indicating that sediments are an important ARG reservoir in the Haihe River. Statistical analysis indicated a positive correlation between the relative abundance of these ARGs (i.e., sul1/16S-rDNA and sul2/16S-rDNA) and the total concentration of sulfamethoxazole, sulfadiazine, plus sulfachlororyridazine, suggesting that sulfonamides exerted selective pressure for these ARGs. A class 1 integron was implicated in the propagation of sul1. Overall, the widespread distribution of sulfonamide ARGs underscores the need to better understand and mitigate their propagation in the environment and the associated risks to public health.
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
Occurrence of Antibiotics in the Aquatic Environment
Hirsch, R., Ternes, T., Haberer, K., & Kratz, K.-L. (1999) · Science of The Total Environment · doi:10.1016/s0048-9697(98)00337-4 · Cited by 2,140
Sulfonamide resistance: mechanisms and trends.
Sköld, O. (2000) · Drug Resistance Updates · doi:10.1054/drup.2000.0146 · Cited by 647
Cited by
Rizzo, L., Manaia, C., Merlin, C., Schwartz, T., Dagot, C., Ploy, M. C., Michael, I., & Fatta-Kassinos, D. (2013) · Science of The Total Environment · doi:10.1016/j.scitotenv.2013.01.032 · Cited by 2,493
Luo, Y., Xu, L., Rysz, M., Wang, Y., Zhang, H., & Alvarez, P. J. J. (2011) · Environmental Science & Technology · doi:10.1021/es104009s · Cited by 964
Self-citationChen, H., Jing, L., Teng, Y., & Wang, J. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.11.054 · Cited by 325
Xie, J., Jin, L., Luo, X., Zhao, Z., & Li, X. (2018) · Environmental Science & Technology Letters · doi:10.1021/acs.estlett.7b00561 · Cited by 161
Stormwater loadings of antibiotic resistance genes in an urban stream
Garner, E., Benitez, R., von Wagoner, E., Sawyer, R., Schaberg, E., Hession, W. C., Krometis, L.-A. H., Badgley, B. D., & Pruden, A. (2017) · Water Research · doi:10.1016/j.watres.2017.06.046 · Cited by 131
Metadata
- Authors
- Luo, Y., Mao, D., Rysz, M., Zhou, Q., Zhang, H., Xu, L., & J. J. Alvarez, P.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-05-28
- Volume
- 44
- Issue
- 19
- Pages
- 7220-7225
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2073902899
- Cited by
- 780
- References
- 2
- FWCI
- 17.14
- 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: Trends in Antibiotic Resistance Genes Occurrence in the Haihe River, China. https://app.cochat.ai/papers/10.1021/es100233w
- The paper
- Luo, Y., Mao, D., Rysz, M., Zhou, Q., Zhang, H., Xu, L., & J. J. Alvarez, P. (2010). Trends in Antibiotic Resistance Genes Occurrence in the Haihe River, China. Environmental Science & Technology. https://doi.org/10.1021/es100233w
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.
