The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The Culturable Soil Antibiotic Resistome: A Community of Multi-Drug Resistant Bacteria
Open accessAbstract
Understanding the soil bacterial resistome is essential to understanding the evolution and development of antibiotic resistance, and its spread between species and biomes. We have identified and characterized multi-drug resistance (MDR) mechanisms in the culturable soil antibiotic resistome and linked the resistance profiles to bacterial species. We isolated 412 antibiotic resistant bacteria from agricultural, urban and pristine soils. All isolates were multi-drug resistant, of which greater than 80% were resistant to 16-23 antibiotics, comprising almost all classes of antibiotic. The mobile resistance genes investigated, (ESBL, bla NDM-1, and plasmid mediated quinolone resistance (PMQR) resistance genes) were not responsible for the respective resistance phenotypes nor were they present in the extracted soil DNA. Efflux was demonstrated to play an important role in MDR and many resistance phenotypes. Clinically relevant Burkholderia species are intrinsically resistant to ciprofloxacin but the soil Burkholderia species were not intrinsically resistant to ciprofloxacin. Using a phenotypic enzyme assay we identified the antibiotic specific inactivation of trimethoprim in 21 bacteria from different soils. The results of this study identified the importance of the efflux mechanism in the soil resistome and variations between the intrinsic resistance profiles of clinical and soil bacteria of the same family.
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
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.03006-05 · Cited by 10,891
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
Antibiotic resistance is prevalent in an isolated cave microbiome
Bhullar, K., Waglechner, N., Pawlowski, A., Koteva, K., Banks, E. D., Johnston, M. D., Barton, H. A., & Wright, G. D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034953 · Cited by 736
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
Cited by
Antibiotic-Resistance Genes in Waste Water
Karkman, A., Do, T. T., Walsh, F., & Virta, M. P. J. (2018) · Trends in Microbiology · doi:10.1016/j.tim.2017.09.005 · Cited by 955
Self-citationCounteraction of antibiotic production and degradation stabilizes microbial communities
Kelsic, E. D., Zhao, J., Vetsigian, K., & Kishony, R. (2015) · Nature · doi:10.1038/nature14485 · Cited by 344
Metadata
- Authors
- Walsh, F., & Duffy, B.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-06-12
- Volume
- 8
- Issue
- 6
- Pages
- e65567
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1992460001
- Cited by
- 160
- References
- 4
- FWCI
- 5.81
- Type
- journal article
- Language
- en
- Open access
- gold
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: The Culturable Soil Antibiotic Resistome: A Community of Multi-Drug Resistant Bacteria. https://app.cochat.ai/papers/10.1371/journal.pone.0065567
- The paper
- Walsh, F., & Duffy, B. (2013). The Culturable Soil Antibiotic Resistome: A Community of Multi-Drug Resistant Bacteria. PLoS ONE. https://doi.org/10.1371/journal.pone.0065567
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.
