The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
tet and sul Antibiotic Resistance Genes in Livestock Lagoons of Various Operation Type, Configuration, and Antibiotic Occurrence
Abstract
Although livestock operations are known to harbor elevated levels of antibiotic resistant bacteria, few studies have examined the potential of livestock waste lagoons to reduce antibiotic resistance genes (ARGs). The purpose of this study was to determine the prevalence and examine the behavior of tetracycline [tet(O) and tet(W)] and sulfonamide [sul(I) and sul(II)] ARGs in a broad cross-section of livestock lagoons within the same semiarid western watershed. ARGs were monitored for one year in the water and the settled solids of eight lagoon systems by quantitative polymerase chain reaction. In addition, antibiotic residues and various bulk water quality constituents were analyzed. It was found that the lagoons of the chicken layer operation had the lowest concentrations of both tet and sul ARGs and low total antibiotic concentrations, whereas sul ARGs were highest in the swine lagoons, which generally corresponded to the highest total antibiotic concentrations. A marginal benefit of organic and small dairy operations also was observed compared to conventional and large dairies, respectively. In all lagoons, sul ARGs were observed to be generally more recalcitrant than tet ARGs. Also, positive correlations of various bulk water quality constituents were identified with tet ARGs but not sul ARGs. Significant positive correlations were identified between several metals and tet ARGs, but Pearson's correlation coefficients were mostly lower than those determined between antibiotic residues and ARGs. This study represents a quantitative characterization of ARGs in lagoons across a variety of livestock operations and provides insight into potential options for managing antibiotic resistance emanating from agricultural activities.
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
Determination of minimum inhibitory concentrations
Andrews, J. M. (2001) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/48.suppl_1.5 · Cited by 4,129
Cited by
Antibiotic resistance gene spread due to manure application on agricultural fields
Heuer, H., Schmitt, H., & Smalla, K. (2011) · Current Opinion in Microbiology · doi:10.1016/j.mib.2011.04.009 · Cited by 985
Imran, M., Das, K. R., & Naik, M. M. (2019) · Chemosphere · doi:10.1016/j.chemosphere.2018.10.114 · Cited by 597
Dodd, M. C. (2012) · Journal of Environmental Monitoring · doi:10.1039/c2em00006g · Cited by 462
Yi, X., Tran, N. H., Yin, T., He, Y., & Gin, K. Y.-H. (2017) · Water Research · doi:10.1016/j.watres.2017.05.008 · Cited by 336
Chen, H., Jing, L., Teng, Y., & Wang, J. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.11.054 · Cited by 325
Metadata
- Authors
- McKinney, C. W., Loftin, K. A., Meyer, M. T., Davis, J. G., & Pruden, A.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-07-21
- Volume
- 44
- Issue
- 16
- Pages
- 6102-6109
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2024730159
- Cited by
- 336
- References
- 1
- FWCI
- 11.82
- 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
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.