ArticleMicrobiology spectrum2024
Utilizing co-abundances of antimicrobial resistance genes to identify potential co-selection in the resistome.
Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Soil management practices shape the abundance, diversity, and spread of antimicrobial resistance.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- From Food Systems to Gut Microbiota: Dietary Substrates, Microbial Exposure and One Health.Microorganisms · 2026Review
- Hospital-Associated Antimicrobial Resistant Bacteria on 95 Mobile Phones: An International Metagenomic "Phonome" Analysis.MicrobiologyOpen · 2026Article
- Prospective Study of the Relative Abundance of Antimicrobial Resistance Genes inAntibiotics (Basel, Switzerland) · 2026Article
- Global Comparative Genomics ofLife (Basel, Switzerland) · 2026Article
- Multi-Drug Resistance in Bacterial Genomes-A Comprehensive Bioinformatic Analysis.International journal of molecular sciences · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The rapid spread of antimicrobial resistance (AMR) is a threat to global health, and the nature of co-occurring antimicrobial resistance genes (ARGs) may cause collateral AMR effects once antimicrobial agents are used. Therefore, it is essential to identify which pairs of ARGs co-occur. Given the wealth of next-generation sequencing data available in public repositories, we have investigated the correlation between ARG abundances in a collection of 214,095 metagenomic data sets. Using more than 6.76∙10 IMPORTANCE: Understanding the collateral effects happening in a resistome can reveal previously unknown links between antimicrobial resistance genes (ARGs). Through the analysis of pairwise ARG abundances in 214K metagenomic samples, we observed that the co-abundance is highly dependent on the environmental context and argue that these correlations can be used to show the risk of co-selection occurring in different settings.
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Registered trials
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