Mobile Genetic Elements Associated with Antimicrobial Resistance
Open accessAbstract
Strains of bacteria resistant to antibiotics, particularly those that are multiresistant, are an increasing major health care problem around the world. It is now abundantly clear that both Gram-negative and Gram-positive bacteria are able to meet the evolutionary challenge of combating antimicrobial chemotherapy, often by acquiring preexisting resistance determinants from the bacterial gene pool.
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Some AMR determinants in probiotics reflect intrinsic or species-associated background resistance, whereas others are acquired, horizontally transferable and clinically relevant.
“Some determinants reflect intrinsic or species-associated background resistance, whereas others are acquired, horizontally transferable and clinically relevant.”
From Integrated Phenotypic and Sequencing-Based Resistome Assessment of Antimicrobial Resistance Determinants in a Sample of Commercial Farm-Animal Probiotic Products (2026) · cites this paper as [11]
The Introduction distinguishes an intrinsic chromosomal resistance gene from resistance genes moved by mobile elements, and the Summary describes acquired determinants spreading through horizontal genetic exchange. The review focuses on major hospital pathogens; these passages do not establish the distinction specifically for probiotics or characterize intrinsic resistance as species-associated background resistance. No page numbers are available in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe mere presence of an AMR-associated database hit does not necessarily imply public-health risk.
“the mere presence of an AMR-associated database hit does not necessarily imply public-health risk.”
From Integrated Phenotypic and Sequencing-Based Resistome Assessment of Antimicrobial Resistance Determinants in a Sample of Commercial Farm-Animal Probiotic Products (2026) · cites this paper as [11]
The ‘Gene Cassettes and Antibiotic Resistance’ passage (page unavailable) distinguishes the most clinically relevant resistance-gene cassettes from others and notes that particular mutations affect whether variants confer resistance. This supports caution about interpreting an AMR-associated hit, but the paper does not directly assess whether a database hit implies public-health risk. (LLM, conf=0.78)
Experimental — accuracy not yet measuredIntrinsic determinants in Enterococcus faecium must be interpreted differently from mobile glycopeptide, oxazolidinone, colistin, ESBL or carbapenemase genes.
“Intrinsic determinants in Enterococcus faecium, for example, must be interpreted differently from mobile glycopeptide, oxazolidinone, colistin, extended-spectrum β-lactamase (ESBL) or carbapenemase genes [11,12,13,14].”
From Integrated Phenotypic and Sequencing-Based Resistome Assessment of Antimicrobial Resistance Determinants in a Sample of Commercial Farm-Animal Probiotic Products (2026) · cites this paper as [11]
The Introduction (page unavailable) describes mobile elements spreading vancomycin-resistance genes in enterococci and a plasmid carrying an oxazolidinone-resistance gene; it also identifies mobile elements associated with ESBL and carbapenemase genes. It does not explain how intrinsic determinants in Enterococcus faecium should be interpreted or explicitly make the claimed comparison. (LLM, conf=0.82)
Experimental — accuracy not yet measuredMobility, ecological opportunity and recipient compatibility determine whether an ARG becomes a clinically relevant hazard.
“This framework is consistent with the broader horizontal gene transfer (HGT) literature, which emphasizes that mobility, ecological opportunity and recipient compatibility determine whether an ARG becomes a clinically relevant hazard [11,12,16,17].”
The ESKAPEE species E. hormaechei was detected in 77 food samples with rel. ab. = 0.02%.
“The ESKAPEE species E. hormaechei 107 was detected in 77 food samples with rel. ab. = 0.02% (Figure 6C)”
From Unexplored microbial diversity from 2,500 food metagenomes and links with the human microbiome. (2024) · cites this paper as [107]
The retrieved passages from the Introduction discuss resistance genes and plasmids, while the References list other microbiology studies; neither reports a food-sample survey. Searches for E. hormaechei, 77 food samples, 0.02% relative abundance, and Figure 6C found no passage addressing the claimed result. (LLM, conf=0.76)
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Cited by
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The Ecology and Evolution of Pangenomes
Brockhurst, M. A., Harrison, E., Hall, J. P. J., Richards, T., McNally, A., & MacLean, C. (2019) · Current Biology · doi:10.1016/j.cub.2019.08.012 · Cited by 385 · see citing works
Zaheer, R., Cook, S. R., Barbieri, R., Goji, N., Cameron, A., Petkau, A., Polo, R. O., Tymensen, L., Stamm, C., Song, J., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-61002-5 · Cited by 262 · see citing works
Unexplored microbial diversity from 2,500 food metagenomes and links with the human microbiome.
Carlino, N., Blanco-Míguez, A., Punčochář, M., Mengoni, C., Pinto, F., Tatti, A., Manghi, P., Armanini, F., Avagliano, M., Barcenilla, C., et al. (2024) · Cell · doi:10.1016/j.cell.2024.07.039 · Cited by 146 · see citing works
“The ESKAPEE species E. hormaechei 107 was detected in 77 food samples with rel. ab.”
Hypervirulent Klebsiella pneumoniae
Chen, J., Zhang, H., & Liao, X. (2023) · Infection and Drug Resistance · doi:10.2147/idr.s418523 · Cited by 65 · see citing works
Yasir, M., Al-Zahrani, I. A., Bibi, F., Abd El Ghany, M., & Azhar, E. I. (2022) · Food Research International · doi:10.1016/j.foodres.2022.111190 · Cited by 60 · see citing works
Bargheet, A., Klingenberg, C., Esaiassen, E., Hjerde, E., Cavanagh, J. P., Bengtsson-Palme, J., & Pettersen, V. K. (2023) · eBioMedicine · doi:10.1016/j.ebiom.2023.104613 · Cited by 52 · see citing works
Sliti, A., Kim, R.-H., Lee, D., & Shin, J.-H. (2025) · Microbial Pathogenesis · doi:10.1016/j.micpath.2025.107405 · Cited by 5 · see citing works
Kerek, Á., Husz, L. H., Szarka, E., Tornyos, G. Á., & Jerzsele, Á. (2026) · Antibiotics · doi:10.3390/antibiotics15060544
“Intrinsic determinants in Enterococcus faecium , for example, must be interpreted differently from mobile glycopeptide, oxazolidinone, colistin, extended-spectrum β -lactamase (ESBL) or carbapenemase genes [11–14].”
- Authors
- Partridge, S. R., Kwong, S. M., Firth, N., & Jensen, S. O.
- Affiliations
- The University of Sydney (AU)
- Ingham Institute (AU)
- Venue
- Clinical Microbiology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2018-10
- Volume
- 31
- Issue
- 4
- ISSN
- 0893-8512 (ISSN-L)
- 1098-6618
- PMC
- PMC6148190
- OpenAlex
- W2885680427
- Cited by
- 2,751
- References
- 527
- Citations by year
- 2026: 579 · 2025: 452 · 2024: 367 · 2023: 374 · 2022: 352 · 2021: 296 · 2020: 197 · 2019: 116 · 2018: 15 · 2012: 1
- FWCI
- 13.01
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Clinical Microbiology Reviews (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Medicine › Antibiotic Resistance in Bacteria
- Health Sciences › Medicine › Infectious Diseases › Antimicrobial Resistance in Staphylococcus
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Keywords
- mobile genetic elements, antimicrobial resistance, antibiotic resistance, multidrug resistance, horizontal gene transfer, resistance determinants, Gram-negative bacteria, Gram-positive bacteria, bacterial evolution
- MeSH terms
- Anti-Bacterial Agents, Bacteria, Bacterial Infections, DNA Transposable Elements, Biological Evolution, Gene Transfer, Horizontal, Drug Resistance, Bacterial
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.
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