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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Gut & Microbiome Human Health Effects Policy & Risk Sign in to save

Selection for antibiotic resistance is reduced when embedded in a natural microbial community

2019 9 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Uli Klümper Uli Klümper Buckling, Angus, Buckling, Angus, Buckling, Angus, Buckling, Angus, Buckling, Angus, Buckling, Angus, Tong Zhang, Tong Zhang, Uli Klümper William H. Gaze, Mario Recker, Mario Recker, Buckling, Angus, Lihong Zhang, Lihong Zhang, William H. Gaze, Tong Zhang, William H. Gaze, Xiaole Yin, Xiaole Yin, Uli Klümper Tong Zhang, Tong Zhang, Tong Zhang, Tong Zhang, Buckling, Angus, Buckling, Angus, William H. Gaze, William H. Gaze, Tong Zhang, Tong Zhang, Uli Klümper Tong Zhang, Uli Klümper

Summary

This study found that antibiotic resistance in bacteria is less likely to develop when the bacteria are part of a natural, complex microbial community compared to single-species lab experiments. While focused on antibiotic resistance rather than microplastics, the findings are relevant because microplastics are known to promote antibiotic resistance in environmental bacteria.

Abstract Antibiotic resistance has emerged as one of the most pressing, global threats to public health. In single-species experiments selection for antibiotic resistance occurs at very low antibiotic concentrations. However, it is unclear how far these findings can be extrapolated to natural environments, where species are embedded within complex communities. We competed isogenic strains of Escherichia coli , differing exclusively in a single chromosomal resistance determinant, in the presence and absence of a pig fecal microbial community across a gradient of antibiotic concentration for two relevant antibiotics: gentamicin and kanamycin. We show that the minimal selective concentration was increased by more than one order of magnitude for both antibiotics when embedded in the community. We identified two general mechanisms were responsible for the increase in minimal selective concentration: an increase in the cost of resistance and a protective effect of the community for the susceptible phenotype. These findings have implications for our understanding of the evolution and selection of antibiotic resistance, and can inform future risk assessment efforts on antibiotic concentrations.

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