ArticlePathogens (Basel, Switzerland)2014
Characterization of Antimicrobial Resistance Dissemination across Plasmid Communities Classified by Network Analysis.
Article in Pathogens (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 25 citations in OpenAlex.
- Structure and dispersion of the conjugative mobilome in surface ocean bacterioplankton.ISME communications · 2024Article
- Multilayer networks of plasmid genetic similarity reveal potential pathways of gene transmission.The ISME journal · 2023Article
- Article
- Genomic network analysis of environmental and livestock F-type plasmid populations.The ISME journal · 2021Article
- Comparative Genomic Analysis of Third-Generation-Cephalosporin-Resistant Escherichia coli Harboring theAntimicrobial agents and chemotherapy · 2020Article
- Large-scale network analysis captures biological features of bacterial plasmids.Nature communications · 2020Article
- Article
- Prevalence and Molecular Characteristics of Extended-Spectrum and AmpC β-Lactamase ProducingFrontiers in microbiology · 2019Article
- Characterization of NDM-5- and CTX-M-55-coproducingInfection and drug resistance · 2019Article
- A Novel Strategy for Detecting Recent Horizontal Gene Transfer and Its Application toFrontiers in microbiology · 2018Article
- Plasmid Classification in an Era of Whole-Genome Sequencing: Application in Studies of Antibiotic Resistance Epidemiology.Frontiers in microbiology · 2017Article
- Genomic and functional techniques to mine the microbiome for novel antimicrobials and antimicrobial resistance genes.Annals of the New York Academy of Sciences · 2017Review
- Distribution and Relationships of Antimicrobial Resistance Determinants among Extended-Spectrum-Cephalosporin-Resistant or Carbapenem-Resistant Escherichia coli Isolates from Rivers and Sewage Treatment Plants in India.Antimicrobial agents and chemotherapy · 2016Article
- Genomics of microbial plasmids: classification and identification based on replication and transfer systems and host taxonomy.Frontiers in microbiology · 2015Review
- Reassessing Biological Threats: Implications for Cooperative Mitigation Strategies.Frontiers in public health · 2015Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The global clustering of gene families through network analysis has been demonstrated in whole genome, plasmid, and microbiome analyses. In this study, we carried out a plasmidome network analysis of all available complete bacterial plasmids to determine plasmid associations. A blastp clustering search at 100% aa identity cut-off and sharing at least one gene between plasmids, followed by a multilevel community network analysis revealed that a surprisingly large number of the plasmids were connected by one largest connected component (LCC), with dozens of community sub-groupings. The LCC consisted mainly of Bacilli and Gammaproteobacteria plasmids. Intriguingly, horizontal gene transfer (HGT) was noted between different phyla (i.e., Staphylococcus and Pasteurellaceae), suggesting that Pasteurellaceae can acquire antimicrobial resistance (AMR) genes from closely contacting Staphylococcus spp., which produce the external supplement of V-factor (NAD). Such community network analysis facilitate displaying possible recent HGTs like a class 1 integron, str and tet resistance markers between communities. Furthermore, the distribution of the Inc replicon type and AMR genes, such as the extended-spectrum ß-lactamase (ESBL) CTX-M or the carbapenemases KPC NDM-1, implies that such genes generally circulate within limited communities belonging to typical bacterial genera. Thus, plasmidome network analysis provides a remarkable discriminatory power for plasmid-related HGT and evolution.
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Registered trials
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.