The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Quantifying Nonspecific TEM β-Lactamase ( bla TEM ) Genes in a Wastewater Stream
Open accessAbstract
To control the antibiotic resistance epidemic, it is necessary to understand the distribution of genetic material encoding antibiotic resistance in the environment and how anthropogenic inputs, such as wastewater, affect this distribution. Approximately two-thirds of antibiotics administered to humans are β-lactams, for which the predominant bacterial resistance mechanism is hydrolysis by β-lactamases. Of the β-lactamases, the TEM family is of overriding significance with regard to diversity, prevalence, and distribution. This paper describes the design of DNA probes universal for all known TEM β-lactamase genes and the application of a quantitative PCR assay (also known as Taqman) to quantify these genes in environmental samples. The primer set was used to study whether sewage, both treated and untreated, contributes to the spread of these genes in receiving waters. It was found that while modern sewage treatment technologies reduce the concentrations of these antibiotic resistance genes, the ratio of bla TEM genes to 16S rRNA genes increases with treatment, suggesting that bacteria harboring bla TEM are more likely to survive the treatment process. Thus, β-lactamase genes are being introduced into the environment in significantly higher concentrations than occur naturally, creating reservoirs of increased resistance potential.
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Cites
More powerful procedures for multiple significance testing
Hochberg, Y., & Benjamini, Y. (1990) · Statistics in Medicine · doi:10.1002/sim.4780090710 · Cited by 2,715
Rapid similarity searches of nucleic acid and protein data banks.
Wilbur, W. J., & Lipman, D. J. (1983) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.80.3.726 · Cited by 1,546
Levy, S. B., FitzGerald, G. B., & Macone, A. B. (1976) · New England Journal of Medicine · doi:10.1056/nejm197609092951103 · Cited by 352
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
Antibiotic 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
Antibiotic Resistance Genes in the Bacteriophage DNA Fraction of Environmental Samples
Colomer-Lluch, M., Jofre, J., & Muniesa, M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017549 · Cited by 353
Metadata
- Authors
- Lachmayr, K. L., Kerkhof, L. J., DiRienzo, A. G., Cavanaugh, C. M., & Ford, T. E.
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2009-01
- Volume
- 75
- Issue
- 1
- Pages
- 203-211
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- OpenAlex
- W2121557733
- Cited by
- 164
- References
- 3
- FWCI
- 5.31
- Type
- journal article
- Language
- en
- Open access
- green
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- Lachmayr, K. L., Kerkhof, L. J., DiRienzo, A. G., Cavanaugh, C. M., & Ford, T. E. (2009). Quantifying Nonspecific TEM β-Lactamase ( bla TEM ) Genes in a Wastewater Stream. Applied and Environmental Microbiology. https://doi.org/10.1128/aem.01254-08
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