The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Development and Application of Real-Time PCR Assays for Quantification of erm Genes Conferring Resistance to Macrolides-Lincosamides-Streptogramin B in Livestock Manure and Manure Management Systems
Open accessAbstract
Erythromycin and tylosin are commonly used in animal production, and such use is perceived to contribute to the overall antimicrobial resistance (AR) reservoirs. Quantitative measurements of this type of AR reservoir in microbial communities are required to understand AR ecology (e.g., emergence, persistence, and dissemination). We report here the development, validation, and use of six real-time PCR assays for quantifying six classes of erm genes (classes A through C, F, T, and X) that encode the major mechanism of resistance to macrolides-lincosamides-streptogramin B (MLS B ). These real-time PCR assays were validated and used in quantifying the six erm classes in five types of samples, including those from bovine manure, swine manure, compost of swine manure, swine waste lagoons, and an Ekokan upflow biofilter system treating hog house effluents. The bovine manure samples were found to contain much smaller reservoirs of each of the six erm classes than the swine manure samples. Compared to the swine manure samples, the composted swine manure samples had substantially reduced erm gene abundances (by up to 7.3 logs), whereas the lagoon or the biofilter samples had similar erm gene abundances. These preliminary results suggest that the methods of manure storage and treatment probably have a substantial impact on the persistence and decline of MLS B resistance originating from food animals, thus likely affecting the dissemination of such resistance genes into the environment. The abundances of these erm genes appeared to be positively correlated with those of the tet genes determined previously among these samples. These real-time PCR assays provide a rapid, quantitative, and cultivation-independent measurement of six major classes of erm genes, which should be useful for ecological studies of AR.
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
Thompson, J. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.24.4876 · Cited by 38,993
Lane, D. (1991) · Medical Entomology and Zoology · Cited by 8,187
Nadkarni, M. A., Martin, F. E., Jacques, N. A., & Hunter, N. (2002) · Microbiology · doi:10.1099/00221287-148-1-257 · Cited by 1,938
Improved extraction of PCR-quality community DNA from digesta and fecal samples
Yu, Z., & Morrison, M. (2004) · BioTechniques · doi:10.2144/04365st04 · Cited by 1,664
Self-citationDetection of erythromycin-resistant determinants by PCR
Sutcliffe, J., Grebe, T., Tait-Kamradt, A., & Wondrack, L. (1996) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.40.11.2562 · Cited by 989
Kummerer, K. (2004) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkh325 · Cited by 935
Nomenclature for Macrolide and Macrolide-Lincosamide-Streptogramin B Resistance Determinants
Roberts, M. C., Sutcliffe, J., Courvalin, P., Jensen, L. B., Rood, J., & Seppala, H. (1999) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.43.12.2823 · Cited by 874
Chee-Sanford, J. C., Aminov, R. I., Krapac, I. J., Garrigues-Jeanjean, N., & Mackie, R. I. (2001) · Applied and Environmental Microbiology · doi:10.1128/aem.67.4.1494-1502.2001 · Cited by 773
Aminov, R. I., Garrigues-Jeanjean, N., & Mackie, R. I. (2001) · Applied and Environmental Microbiology · doi:10.1128/aem.67.1.22-32.2001 · Cited by 650
Strommenger, B., Kettlitz, C., Werner, G., & Witte, W. (2003) · Journal of Clinical Microbiology · doi:10.1128/jcm.41.9.4089-4094.2003 · Cited by 578
Cited by
In-feed antibiotic effects on the swine intestinal microbiome
Looft, T., Johnson, T. A., Allen, H. K., Bayles, D. O., Alt, D. P., Stedtfeld, R. D., Sul, W. J., Stedtfeld, T. M., Chai, B., Cole, J. R., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1120238109 · Cited by 1,072
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
Antibiotic Resistome and Its Association with Bacterial Communities during Sewage Sludge Composting
Su, J.-Q., Wei, B., Ou-Yang, W.-Y., Huang, F.-Y., Zhao, Y., Xu, H.-J., & Zhu, Y.-G. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b01012 · Cited by 890
Chee‐Sanford, J. C., Mackie, R. I., Koike, S., Krapac, I. G., Lin, Y., Yannarell, A. C., Maxwell, S., & Aminov, R. I. (2009) · Journal of Environmental Quality · doi:10.2134/jeq2008.0128 · Cited by 830
Intestinal microbiome is related to lifetime antibiotic use in Finnish pre-school children
Korpela, K., Salonen, A., Virta, L. J., Kekkonen, R. A., Forslund, K., Bork, P., & de Vos, W. M. (2016) · Nature Communications · doi:10.1038/ncomms10410 · Cited by 698
Metadata
- Authors
- Chen, J., Yu, Z., Michel, F. C., Wittum, T., & Morrison, M.
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2007-07-15
- Volume
- 73
- Issue
- 14
- Pages
- 4407-4416
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- OpenAlex
- W2073044205
- Cited by
- 261
- References
- 34
- FWCI
- 5.16
- Type
- journal article
- Language
- en
- Open access
- green
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: Development and Application of Real-Time PCR Assays for Quantification of erm Genes Conferring Resistance to Macrolides-Lincosamides-Streptogramin B in Livestock Manure and Manure Management Systems. https://app.cochat.ai/papers/10.1128/aem.02799-06
- The paper
- Chen, J., Yu, Z., Michel, F. C., Wittum, T., & Morrison, M. (2007). Development and Application of Real-Time PCR Assays for Quantification of erm Genes Conferring Resistance to Macrolides-Lincosamides-Streptogramin B in Livestock Manure and Manure Management Systems. Applied and Environmental Microbiology. https://doi.org/10.1128/aem.02799-06
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.