ReviewFrontiers in microbiology2019
Gene Transmission in the One Health Microbiosphere and the Channels of Antimicrobial Resistance.
Review in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.
What it found
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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.
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.
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Who cites it
70 citing papers in PubMed, 129 citations in OpenAlex.
- A network dynamical simulation model for the study of antibiotic resistance in microbial communities.Gut microbes · 2026Article
- Antimicrobial-resistant Escherichia Coli and Salmonella in poultry production and spread and effect in the one health framework.Poultry science · 2026Review
- Redefining Antimicrobial Resistance inInternational journal of molecular sciences · 2026Review
- Transmission and Evolution of Antibiotic Resistance Genes and Antibiotic-Resistant Bacteria in Animals, Food, Humans and the Environment.Microorganisms · 2026Review
- Contrasting pH optima of β-lactamases CTX-M and CMY influenceApplied and environmental microbiology · 2026Article
- Mitigating antimicrobial resistance in the animal industry: reduction strategies and alternatives to antibiotics.Frontiers in veterinary science · 2026Review
- Complete genomic sequencing and characterization of an ESBL-producingmicroPublication biology · 2026Article
- Enteric Pathogens in Wild Boars Across the European Union: Prevalence and Antimicrobial Resistance Within a One Health Framework.Antibiotics (Basel, Switzerland) · 2025Review
- Impact of open markets on zoonotic threats and antimicrobial resistance: A One Health concern.One health (Amsterdam, Netherlands) · 2025Review
- The Rising Threat of Antibiotic Resistance in Poultry: Veterinary and One Health Perspectives.Veterinary sciences · 2025Review
- One Health, One Microbiome.Microbiome · 2025Review
- Influence of Florfenicol Treatments on Marine-Sediment Microbiomes: A Metagenomic Study of Bacterial Communities in Proximity to Salmon Aquaculture in Southern Chile.Antibiotics (Basel, Switzerland) · 2025Article
- Active site loops of membrane-anchored metallo-β-lactamases from environmental bacteria determine cephalosporinase activity.Antimicrobial agents and chemotherapy · 2025Article
- The risk of pathogenicity and antibiotic resistance in deep-sea cold seep microorganisms.mSystems · 2025Article
- Antechodynamics and Antechokinetics: Dynamics and Kinetics of Antibiotic Resistance Biomolecules.Biomolecules · 2025Review
- Genomic and phylogeographical analysis revealed CTX-M-55 producingOne health (Amsterdam, Netherlands) · 2025Article
- Article
- Global analysis of the metaplasmidome: ecological drivers and spread of antibiotic resistance genes across ecosystems.Microbiome · 2025Article
- Genetic compatibility and ecological connectivity drive the dissemination of antibiotic resistance genes.Nature communications · 2025Article
- Integrating the milk microbiome signatures in mastitis: milk-omics and functional implications.World journal of microbiology & biotechnology · 2025Review
10 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antibiotic resistance is a field in which the concept of One Health can best be illustrated. One Health is based on the definition of communication spaces among diverse environments. Antibiotic resistance is encoded by genes, however, these genes are propagated in mobile genetic elements (MGEs), circulating among bacterial species and clones that are integrated into the multiple microbiotas of humans, animals, food, sewage, soil, and water environments, the One Health microbiosphere. The dynamics and evolution of antibiotic resistance depend on the communication networks linking all these ecological, biological, and genetic entities. These communications occur by environmental overlapping and merging, a critical issue in countries with poor sanitation, but also favored by the homogenizing power of globalization. The overwhelming increase in the population of highly uniform food animals has contributed to the parallel increase in the absolute size of their microbiotas, consequently enhancing the possibility of microbiome merging between humans and animals. Microbial communities coalescence might lead to shared microbiomes in which the spread of antibiotic resistance (of human, animal, or environmental origin) is facilitated. Intermicrobiome communication is exerted by shuttle bacterial species (or clones within species) belonging to generalist taxa, able to multiply in the microbiomes of various hosts, including humans, animals, and plants. Their integration into local genetic exchange communities fosters antibiotic resistance gene flow, following the channels of accessory genome exchange among bacterial species. These channels delineate a topology of gene circulation, including dense clusters of species with frequent historical and recent exchanges. The ecological compatibility of these species, sharing the same niches and environments, determines the exchange possibilities. In summary, the fertility of the One Health approach to antibiotic resistance depends on the progress of understanding multihierarchical systems, encompassing communications among environments (macro/microaggregates), among microbiotas (communities), among bacterial species (clones), and communications among MGEs.
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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.