ArticleiMeta2026
Antiviral defense systems drive persistence of antimicrobial-resistant bacteria but limit the transfer of antimicrobial resistance genes in anaerobic digestion.
Article in iMeta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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Authors and funding
9 authors.
Funding
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Abstract
Phage-host interactions critically shape environmental antimicrobial resistance (AMR). Using swine manure anaerobic digestion and multi-omics (metagenomics, meta-transcriptomics, and Hi-C), we mapped the phage-bacteria arms race and its impact on AMR dynamics. We revealed that phage-mediated lysis overwhelmingly dominates transduction, while phages rarely carry antimicrobial resistance genes (ARGs), and phage-borne ARGs showed no expression, challenging the paradigm of phages as primary vectors of ARGs. Crucially, the intense on-going phage-host arms race drives the widespread presence and expression of antiviral defense systems (ADSs) in antimicrobial-resistant bacteria (ARB). These ADSs exhibit a vital ecological dual role: they protect ARBs from phage lysis promoting persistence while simultaneously suppressing horizontal gene transfer (HGT, e.g., conjugation), as validated by in vitro conjugation assays. Our findings elucidate this duality, offering a novel framework to harness phage lytic pressure and ADS-mediated HGT suppression for environmental AMR mitigation.
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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.