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Genomics, Proteomics & Bioinformatics
Article . 2019 . Peer-reviewed
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Other literature type . 2019
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https://doi.org/10.1101/537670...
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DBLP
Article . 2024
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Antibiotic Treatment Drives the Diversification of the Human Gut Resistome

Authors: Li, Jun; Rettedal, Elizabeth A.; van der Helm, Eric; Ellabaan, Mostafa; Panagiotou, Gianni; Sommer, Morten O.A.;

Antibiotic Treatment Drives the Diversification of the Human Gut Resistome

Abstract

Abstract Despite the documented antibiotic-induced disruption of the gut microbiota, the impact of antibiotic intake on strain-level dynamics, evolution of resistance genes, and factors influencing resistance dissemination potential remains poorly understood. To address this gap we analyzed public metagenomic datasets from 24 antibiotic treated subjects and controls, combined with an in-depth prospective functional study with two subjects investigating the bacterial community dynamics based on cultivation-dependent and independent methods. We observed that short-term antibiotic treatment shifted and diversified the resistome composition, increased the average copy number of antibiotic resistance genes, and altered the dominant strain genotypes in an individual-specific manner. More than 30% of the resistance genes underwent strong differentiation at the single nucleotide level during antibiotic treatment. We found that the increased potential for horizontal gene transfer, due to antibiotic administration, was ∼3-fold stronger in the differentiated resistance genes than the non-differentiated ones. This study highlights how antibiotic treatment has individualized impacts on the resistome and strain level composition, and drives the adaptive evolution of the gut microbiota.

Country
Denmark
Keywords

Adult, Gut microbiome, Bacteria, Evolution, QH301-705.5, Computer applications to medicine. Medical informatics, R858-859.7, Horizontal gene transfer, Resistome, Strain, Anti-Bacterial Agents, Gastrointestinal Microbiome, Antibiotics, Drug Resistance, Bacterial, Humans, Female, Metagenomics, Prospective Studies, Biology (General), Original Research

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    60
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
60
Top 1%
Top 10%
Top 1%
Green
Published in a Diamond OA journal