The DOI matches its Crossref record; 154 of the 154 references it cites were found in a registry or an index.
Monitoring antibiotic resistance genes in wastewater treatment: Current strategies and future challenges
Open accessAbstract
Antimicrobial resistance (AMR) is a growing threat to human and animal health. Progress in molecular biology has revealed new and significant challenges for AMR mitigation given the immense diversity of antibiotic resistance genes (ARGs), the complexity of ARG transfer, and the broad range of omnipresent factors contributing to AMR. Municipal, hospital and abattoir wastewater are collected and treated in wastewater treatment plants (WWTPs), where the presence of diverse selection pressures together with a highly concentrated consortium of pathogenic/commensal microbes create favourable conditions for the transfer of ARGs and proliferation of antibiotic resistant bacteria (ARB). The rapid emergence of antibiotic resistant pathogens of clinical and veterinary significance over the past 80 years has re-defined the role of WWTPs as a focal point in the fight against AMR. By reviewing the occurrence of ARGs in wastewater and sludge and the current technologies used to quantify ARGs and identify ARB, this paper provides a research roadmap to address existing challenges in AMR control via wastewater treatment. Wastewater treatment is a double-edged sword that can act as either a pathway for AMR spread or as a barrier to reduce the environmental release of anthropogenic AMR. State of the art ARB identification technologies, such as metagenomic sequencing and fluorescence-activated cell sorting, have enriched ARG/ARB databases, unveiled keystone species in AMR networks, and improved the resolution of AMR dissemination models. Data and information provided in this review highlight significant knowledge gaps. These include inconsistencies in ARG reporting units, lack of ARG/ARB monitoring surrogates, lack of a standardised protocol for determining ARG removal via wastewater treatments, and the inability to support appropriate risk assessment. This is due to a lack of standard monitoring targets and agreed threshold values, and paucity of information on the ARG-pathogen host relationship and risk management. These research gaps need to be addressed and research findings need to be transformed into practical guidance for WWTP operators to enable effective progress towards mitigating the evolution and spread of AMR.
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
Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome
Lieberman-Aiden, E., van Berkum, N. L., Williams, L., Imakaev, M., Ragoczy, T., Telling, A., Amit, I., Lajoie, B. R., Sabo, P. J., Dorschner, M. O., et al. (2009) · Science · doi:10.1126/science.1181369 · Cited by 8,898
Mobile Genetic Elements Associated with Antimicrobial Resistance
Partridge, S. R., Kwong, S. M., Firth, N., & Jensen, S. O. (2018) · Clinical Microbiology Reviews · doi:10.1128/cmr.00088-17 · Cited by 2,751
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
Federal Funding for the Study of Antimicrobial Resistance in Nosocomial Pathogens: No ESKAPE
Rice, L. B. (2008) · The Journal of Infectious Diseases · doi:10.1086/533452 · Cited by 2,310
The shared antibiotic resistome of soil bacteria and human pathogens
Forsberg, K. J., Reyes, A., Wang, B., Selleck, E. M., Sommer, M. O. A., & Dantas, G. (2012) · Science · doi:10.1126/science.1220761 · Cited by 1,650
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
Horizontal gene transfer: building the web of life
Soucy, S. M., Huang, J., & Gogarten, J. P. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3962 · Cited by 1,449
Using the class 1 integron-integrase gene as a proxy for anthropogenic pollution
Gillings, M. R., Gaze, W. H., Pruden, A., Smalla, K., Tiedje, J. M., & Zhu, Y.-G. (2015) · The ISME Journal · doi:10.1038/ismej.2014.226 · Cited by 1,331
Li, B., Yang, Y., Ma, L., Ju, F., Guo, F., Tiedje, J. M., & Zhang, T. (2015) · The ISME Journal · doi:10.1038/ismej.2015.59 · Cited by 1,238
Continental-scale pollution of estuaries with antibiotic resistance genes
Zhu, Y.-G., Zhao, Y., Li, B., Huang, C.-L., Zhang, S.-Y., Yu, S., Chen, Y.-S., Zhang, T., Gillings, M. R., & Su, J.-Q. (2017) · Nature Microbiology · doi:10.1038/nmicrobiol.2016.270 · Cited by 1,186
Cited by
Duran-Bedolla, J., Téllez-Sosa, J., Bocanegra-Ibarias, P., Schilmann, A., Bravo-Romero, S., Reyna-Flores, F., Villa-Reyes, T., & Barrios-Camacho, H. (2024) · Applied and Environmental Microbiology · doi:10.1128/aem.01165-24 · Cited by 15
Metadata
- Authors
- Nguyen, A. Q., Vu, H. P., Nguyen, L. N., Wang, Q., Djordjevic, S. P., Donner, E., Yin, H., & Nghiem, L. D.
- Venue
- Science of The Total Environment
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 783
- Pages
- 146964
- ISSN
- 0048-9697 (ISSN-L)
- OpenAlex
- W3150659052
- Cited by
- 339
- References
- 154
- FWCI
- 11.80
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Monitoring antibiotic resistance genes in wastewater treatment: Current strategies and future challenges. https://app.cochat.ai/papers/10.1016/j.scitotenv.2021.146964
- The paper
- Nguyen, A. Q., Vu, H. P., Nguyen, L. N., Wang, Q., Djordjevic, S. P., Donner, E., Yin, H., & Nghiem, L. D. (2021). Monitoring antibiotic resistance genes in wastewater treatment: Current strategies and future challenges. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2021.146964
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.