The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Antimicrobial use in aquaculture re‐examined: its relevance to antimicrobial resistance and to animal and human health
Abstract
Summary: The worldwide growth of aquaculture has been accompanied by a rapid increase in therapeutic and prophylactic usage of antimicrobials including those important in human therapeutics. Approximately 80% of antimicrobials used in aquaculture enter the environment with their activity intact where they select for bacteria whose resistance arises from mutations or more importantly, from mobile genetic elements containing multiple resistance determinants transmissible to other bacteria. Such selection alters biodiversity in aquatic environments and the normal flora of fish and shellfish. The commonality of the mobilome (the total of all mobile genetic elements in a genome) between aquatic and terrestrial bacteria together with the presence of residual antimicrobials, biofilms, and high concentrations of bacteriophages where the aquatic environment may also be contaminated with pathogens of human and animal origin can stimulate exchange of genetic information between aquatic and terrestrial bacteria. Several recently found genetic elements and resistance determinants for quinolones, tetracyclines, and β‐lactamases are shared between aquatic bacteria, fish pathogens, and human pathogens, and appear to have originated in aquatic bacteria. Excessive use of antimicrobials in aquaculture can thus potentially negatively impact animal and human health as well as the aquatic environment and should be better assessed and regulated.
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Cites
Environmental genome shotgun sequencing of the sargasso sea
Venter, J. C., Remington, K., Heidelberg, J. F., Halpern, A. L., Rusch, D., Eisen, J. A., Wu, D., Paulsen, I., Nelson, K. E., Nelson, W., et al. (2004) · Science · doi:10.1126/science.1093857 · Cited by 4,376
Antibiotic resistance is ancient
D’Costa, V. M., King, C. E., Kalan, L., Morar, M., Sung, W. W. L., Schwarz, C., Froese, D., Zazula, G., Calmels, F., Debruyne, R., et al. (2011) · Nature · doi:10.1038/nature10388 · Cited by 2,720
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
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
Transfer of carbohydrate-active enzymes from marine bacteria to Japanese gut microbiota
Hehemann, J.-H., Correc, G., Barbeyron, T., Helbert, W., Czjzek, M., & Michel, G. (2010) · Nature · doi:10.1038/nature08937 · Cited by 1,117
Role of gastrointestinal microbiota in fish
Nayak, S. K. (2010) · Aquaculture Research · doi:10.1111/j.1365-2109.2010.02546.x · Cited by 1,073 · cited 2×
“…Applied Microbiology, Environmental Microbiology determinants in piscine pathogens analogous to what has been shown to occur in terrestrial animals and human beings (Salyers and Shoemaker, 2006; Navarrete et al., 2008; Marshall et al., 2009; Martinez et al., 2009; Nayak, 2010; Looft et al., 2012).”
BackgroundAntibiotic resistance in the environment: a link to the clinic?
Wright, G. D. (2010) · Current Opinion in Microbiology · doi:10.1016/j.mib.2010.08.005 · Cited by 831
The spread of CTX-M-type extended-spectrum β-lactamases
Rossolini, G. M., D'Andrea, M. M., & Mugnaioli, C. (2008) · Clinical Microbiology and Infection · doi:10.1111/j.1469-0691.2007.01867.x · Cited by 487
Resistance in bacteria of the food chain: Epidemiology and control strategies
Aarestrup, F. M., Wegener, H. C., & Collignon, P. (2008) · Expert Review of Anti-infective Therapy · doi:10.1586/14787210.6.5.733 · Cited by 406
Hehemann, J.-H., Kelly, A. G., Pudlo, N. A., Martens, E. C., & Boraston, A. B. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1211002109 · Cited by 338
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
Global Trends in Antimicrobial Use in Food Animals from 2017 to 2030
Tiseo, K., Huber, L., Gilbert, M., Robinson, T. P., & Van Boeckel, T. P. (2020) · Antibiotics · doi:10.3390/antibiotics9120918 · Cited by 689
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
Lekshmi, M., Ammini, P., Kumar, S., & Varela, M. F. (2017) · Microorganisms · doi:10.3390/microorganisms5010011 · Cited by 194
Antimicrobial peptides in marine invertebrate health and disease
Destoumieux-Garzón, D., Rosa, R. D., Schmitt, P., Barreto, C., Vidal-Dupiol, J., Mitta, G., Gueguen, Y., & Bachère, E. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0300 · Cited by 160
Metadata
- Authors
- Cabello, F. C., Godfrey, H. P., Tomova, A., Ivanova, L., Dölz, H., Millanao, A., & Buschmann, A. H.
- Venue
- Environmental Microbiology
- Publisher
- Wiley
- Published
- 2013-05-26
- Volume
- 15
- Issue
- 7
- Pages
- 1917-1942
- ISSN
- 1462-2912 (ISSN-L)
- 1462-2920
- OpenAlex
- W1535325794
- Cited by
- 898
- References
- 12
- FWCI
- 28.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cabello, F. C., Godfrey, H. P., Tomova, A., Ivanova, L., Dölz, H., Millanao, A., & Buschmann, A. H. (2013). Antimicrobial use in aquaculture re‐examined: its relevance to antimicrobial resistance and to animal and human health. Environmental Microbiology. https://doi.org/10.1111/1462-2920.12134
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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