The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Co-Selection of Resistance to Antibiotics, Biocides and Heavy Metals, and Its Relevance to Foodborne Pathogens
Open accessAbstract
Concerns have been raised in recent years regarding co-selection for antibiotic resistance among bacteria exposed to biocides used as disinfectants, antiseptics and preservatives, and to heavy metals (particularly copper and zinc) used as growth promoters and therapeutic agents for some livestock species. There is indeed experimental and observational evidence that exposure to these non-antibiotic antimicrobial agents can induce or select for bacterial adaptations that result in decreased susceptibility to one or more antibiotics. This may occur via cellular mechanisms that are protective across multiple classes of antimicrobial agents or by selection of genetic determinants for resistance to non-antibiotic agents that are linked to genes for antibiotic resistance. There may also be relevant effects of these antimicrobial agents on bacterial community structure and via non-specific mechanisms such as mobilization of genetic elements or mutagenesis. Notably, some co-selective adaptations have adverse effects on fitness in the absence of a continued selective pressure. The present review examines the evidence for the significance of these phenomena, particularly in respect of bacterial zoonotic agents that commonly occur in livestock and that may be transmitted, directly or via the food chain, to human populations.
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Citations
Cites
Bacterial charity work leads to population-wide resistance
Lee, H. H., Molla, M. N., Cantor, C. R., & Collins, J. J. (2010) · Nature · doi:10.1038/nature09354 · Cited by 638
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“For example, many cases of reduced susceptibility to antibiotics and/or biocides show both increased efflux and cell permeability changes [39,40].”
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Control of Salmonella in food related environments by chemical disinfection
Møretrø, T., Heir, E., Nesse, L. L., Vestby, L. K., & Langsrud, S. (2012) · Food Research International · doi:10.1016/j.foodres.2011.02.002 · Cited by 154
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“protection and repair of the biosynthetic and metabolic machinery of the cell [78].”
BackgroundInfluentialResistant Mechanism Study of Benzalkonium Chloride Selected Salmonella Typhimurium Mutants
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Cited by
Antibiotic resistance in the environment
Larsson, D. G. J., & Flach, C.-F. (2022) · Nature Reviews Microbiology · doi:10.1038/s41579-021-00649-x · Cited by 3,164
Environmental factors influencing the development and spread of antibiotic resistance
Bengtsson-Palme, J., Kristiansson, E., & Larsson, D. G. J. (2018) · FEMS Microbiology Reviews · doi:10.1093/femsre/fux053 · Cited by 1,167
Environmental antimicrobial resistance and its drivers: a potential threat to public health
Samreen, Ahmad, I., Malak, H. A., & Abulreesh, H. H. (2021) · Journal of Global Antimicrobial Resistance · doi:10.1016/j.jgar.2021.08.001 · Cited by 727
Antibiotic Resistance: One Health One World Outlook
Aslam, B., Khurshid, M., Arshad, M. I., Muzammil, S., Rasool, M., Yasmeen, N., Shah, T., Chaudhry, T. H., Rasool, M. H., Shahid, A., et al. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.771510 · Cited by 609
Imran, M., Das, K. R., & Naik, M. M. (2019) · Chemosphere · doi:10.1016/j.chemosphere.2018.10.114 · Cited by 597
Metadata
- Authors
- Wales, A., & Davies, R.
- Venue
- Antibiotics
- Publisher
- MDPI AG
- Published
- 2015-11-13
- Volume
- 4
- Issue
- 4
- Pages
- 567-604
- ISSN
- 2079-6382 (ISSN-L)
- OpenAlex
- W2174481467
- Cited by
- 443
- References
- 6
- FWCI
- 8.51
- Type
- journal article
- Language
- en
- Open access
- gold
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- Wales, A., & Davies, R. (2015). Co-Selection of Resistance to Antibiotics, Biocides and Heavy Metals, and Its Relevance to Foodborne Pathogens. Antibiotics. https://doi.org/10.3390/antibiotics4040567
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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.
