2020
DOI: 10.1371/journal.pbio.3000465
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Resident microbial communities inhibit growth and antibiotic-resistance evolution of Escherichia coli in human gut microbiome samples

Abstract: Countering the rise of antibiotic-resistant pathogens requires improved understanding of how resistance emerges and spreads in individual species, which are often embedded in complex microbial communities such as the human gut microbiome. Interactions with other microorganisms in such communities might suppress growth and resistance evolution of individual species (e.g., via resource competition) but could also potentially accelerate resistance evolution via horizontal transfer of resistance genes. It remains … Show more

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Cited by 58 publications
(73 citation statements)
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References 95 publications
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“…In conclusion, on the one hand, these results are entirely consistent with prevailing wisdom that healthy gut communities can suppress invading strains and thereby reduce the likelihood of resistance emerging [8,9,17]. On the other hand, the absence of a significant effect of broad, or even narrow, spectrum antibiotics on the degree of competitive suppression of our focal strain is much more surprising.…”
supporting
confidence: 86%
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“…In conclusion, on the one hand, these results are entirely consistent with prevailing wisdom that healthy gut communities can suppress invading strains and thereby reduce the likelihood of resistance emerging [8,9,17]. On the other hand, the absence of a significant effect of broad, or even narrow, spectrum antibiotics on the degree of competitive suppression of our focal strain is much more surprising.…”
supporting
confidence: 86%
“…Finally, the drop in Shannon diversity indicates, unsurprisingly, microcosms are a novel environment relative to the source environment. Despite this, key taxa in each community were stable over the course of the experiment, and previously over a longer timescale in the same set-up [9], demonstrating these conditions sustain diverse human-associated communities over relevant timescales.…”
mentioning
confidence: 88%
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“…Obtaining a better understanding of community evolution and ecological variability will be important for predicting dynamics of therapeutic phages in patients, especially since these complex environments will contain other community members that can impact evolutionary outcomes (23,24). Such future interdisciplinary work may include incorporating evolutionary factors and environmental heterogeneity into computational models of phage infection, tracking phage population sizes in infection models and clinical trials, and including both pharmacokinetic/pharmacodynamic and phage dosing (rather than relying on a single initial inoculum).…”
Section: The Role Of Competition and Community In Pleiotropic Evolutionmentioning
confidence: 99%
“…A comparison of short-read NGS and long-read, third-generation sequencing of samples from patients treated for C. difficile infection revealed similarities in community compositions at the phylum and family levels, but the long-read approach further allowed for species-level characterization, permitting a better understanding of the microbial ecology of this disease. Thus, as sequencing technologies continue to improve, new species-level insights can be gained in the study of complex and clinically-relevant microbial communities, as well as the relationships between gut microbiota and infectious diseases, to evaluate the effects of probiotics supplementation [101][102][103][104][105].…”
Section: Multi-omics Approaches and Computational Modelsmentioning
confidence: 99%