Evidence map›Paper›PMID 38366209›Full record

ArticleThe ISME journal2024

Inter-plasmid transfer of antibiotic resistance genes accelerates antibiotic resistance in bacterial pathogens.

Xiaolong Wang, Hanhui Zhang, Shenbo Yu, Donghang Li, Michael R Gillings, Hongqiang Ren, Daqing Mao, Jianhua Guo, Yi Luo

Open access · goldAbstract read
In one paragraph

Article in The ISME journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
20.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

87 citing papers in PubMed, 122 citations in OpenAlex.

  1. Genomic and functional insights intoFood chemistry. Molecular sciences · 2026
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  6. Plasmid-mediated dissemination ofMicrobiology spectrum · 2026
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27 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 3 countries.

Xiaolong WangCollege of Environmental Science and Engineering, Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, Nankai University, Tianjin 300071, China.
Hanhui ZhangState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
Shenbo YuState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
Donghang LiSchool of Medicine, Nankai University, Tianjin 300071, China.
Michael R GillingsARC Centre of Excellence in Synthetic Biology, Faculty of Science and Engineering, Macquarie University, Sydney, New South Wales 2109, Australia.
Hongqiang RenState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
Daqing MaoSchool of Medicine, Nankai University, Tianjin 300071, China.
Jianhua GuoAustralian Centre for Water and Environmental Biotechnology, The University of Queensland, Brisbane, Queensland 4072, Australia.
Yi LuoCollege of Environmental Science and Engineering, Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria, Nankai University, Tianjin 300071, China.
Nankai University · CNNanjing University · CNState Key Laboratory of Pollution Control and Resource Reuse · CNMacquarie University · AUUniversity of Queensland · AU

Funding

Key Projects of the National Natural Science Foundation of China 41831287National Key R&D Program of China 2020YFC1806904National Natural Science Foundation of China 31870351
6 · The paper itself

Abstract

Antimicrobial resistance is a major threat for public health. Plasmids play a critical role in the spread of antimicrobial resistance via horizontal gene transfer between bacterial species. However, it remains unclear how plasmids originally recruit and assemble various antibiotic resistance genes (ARGs). Here, we track ARG recruitment and assembly in clinically relevant plasmids by combining a systematic analysis of 2420 complete plasmid genomes and experimental validation. Results showed that ARG transfer across plasmids is prevalent, and 87% ARGs were observed to potentially transfer among various plasmids among 8229 plasmid-borne ARGs. Interestingly, recruitment and assembly of ARGs occur mostly among compatible plasmids within the same bacterial cell, with over 88% of ARG transfers occurring between compatible plasmids. Integron and insertion sequences drive the ongoing ARG acquisition by plasmids, especially in which IS26 facilitates 63.1% of ARG transfer events among plasmids. In vitro experiment validated the important role of IS26 involved in transferring gentamicin resistance gene aacC1 between compatible plasmids. Network analysis showed four beta-lactam genes (blaTEM-1, blaNDM-4, blaKPC-2, and blaSHV-1) shuffling among 1029 plasmids and 45 clinical pathogens, suggesting that clinically alarming ARGs transferred accelerate the propagation of antibiotic resistance in clinical pathogens. ARGs in plasmids are also able to transmit across clinical and environmental boundaries, in terms of the high-sequence similarities of plasmid-borne ARGs between clinical and environmental plasmids. This study demonstrated that inter-plasmid ARG transfer is a universal mechanism for plasmid to recruit various ARGs, thus advancing our understanding of the emergence of multidrug-resistant plasmids.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, BacterialDrug Resistance, MicrobialGenes, BacterialGene Transfer, HorizontalPlasmidsAnti-Bacterial Agentsantibiotic resistance genesantimicrobial resistancebioinformaticsESKAPE pathogenshorizontal gene transferplasmids

Identifiers

PMID38366209
PMCPMC10881300
OpenAlexW4390704263

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.