The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Co-occurrence of resistance genes to antibiotics, biocides and metals reveals novel insights into their co-selection potential
Open accessAbstract
BACKGROUND: Antibacterial biocides and metals can co-select for antibiotic resistance when bacteria harbour resistance or tolerance genes towards both types of compounds. Despite numerous case studies, systematic and quantitative data on co-occurrence of such genes on plasmids and chromosomes is lacking, as is knowledge on environments and bacterial taxa that tend to carry resistance genes to such compounds. This effectively prevents identification of risk scenarios. Therefore, we aimed to identify general patterns for which biocide/metal resistance genes (BMRGs) and antibiotic resistance genes (ARGs) that tend to occur together. We also aimed to quantify co-occurrence of resistance genes in different environments and taxa, and investigate to what extent plasmids carrying both types of genes are conjugative and/or are carrying toxin-antitoxin systems. RESULTS: Co-occurrence patterns of resistance genes were derived from publicly available, fully sequenced bacterial genomes (n = 2522) and plasmids (n = 4582). The only BMRGs commonly co-occurring with ARGs on plasmids were mercury resistance genes and the qacE∆1 gene that provides low-level resistance to quaternary ammonium compounds. Novel connections between cadmium/zinc and macrolide/aminoglycoside resistance genes were also uncovered. Several clinically important bacterial taxa were particularly prone to carry both BMRGs and ARGs. Bacteria carrying BMRGs more often carried ARGs compared to bacteria without (p < 0.0001). BMRGs were found in 86 % of bacterial genomes, and co-occurred with ARGs in 17 % of the cases. In contrast, co-occurrences of BMRGs and ARGs were rare on plasmids from all external environments (<0.7 %) but more common on those of human and domestic animal origin (5 % and 7 %, respectively). Finally, plasmids with both BMRGs and ARGs were more likely to be conjugative (p < 0.0001) and carry toxin-antitoxin systems (p < 0.0001) than plasmids without resistance genes. CONCLUSIONS: This is the first large-scale identification of compounds, taxa and environments of particular concern for co-selection of resistance against antibiotics, biocides and metals. Genetic co-occurrences suggest that plasmids provide limited opportunities for biocides and metals to promote horizontal transfer of antibiotic resistance through co-selection, whereas ample possibilities exist for indirect selection via chromosomal BMRGs. Taken together, the derived patterns improve our understanding of co-selection potential between biocides, metals and antibiotics, and thereby provide guidance for risk-reducing actions.
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
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
Accelerated Profile HMM Searches
Eddy, S. R. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002195 · Cited by 6,975
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
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
Self-citationEcological effects of antibiotics on natural ecosystems: A review
Grenni, P., Ancona, V., & Barra Caracciolo, A. (2018) · Microchemical Journal · doi:10.1016/j.microc.2017.02.006 · Cited by 1,257
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
Self-citationEnvironmental 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
Imran, M., Das, K. R., & Naik, M. M. (2019) · Chemosphere · doi:10.1016/j.chemosphere.2018.10.114 · Cited by 597
Metadata
- Authors
- Pal, C., Bengtsson-Palme, J., Kristiansson, E., & Larsson, D. G. J.
- Venue
- BMC Genomics
- Published
- 2015-11-17
- Volume
- 16
- Issue
- 1
- Pages
- 964-964
- ISSN
- 1471-2164 (ISSN-L)
- OpenAlex
- W2180695509
- Cited by
- 824
- References
- 3
- FWCI
- 24.53
- 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: Co-occurrence of resistance genes to antibiotics, biocides and metals reveals novel insights into their co-selection potential. https://app.cochat.ai/papers/10.1186/s12864-015-2153-5
- The paper
- Pal, C., Bengtsson-Palme, J., Kristiansson, E., & Larsson, D. G. J. (2015). Co-occurrence of resistance genes to antibiotics, biocides and metals reveals novel insights into their co-selection potential. BMC Genomics. https://doi.org/10.1186/s12864-015-2153-5
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.