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Predicting the re-distribution of antibiotic molecules caused by inter-species interactions in microbial communities

View ORCID ProfileCarlos Reding
doi: https://doi.org/10.1101/2020.12.14.422780
Carlos Reding
1Department of Biosciences, University of Exeter, EX4 4QD, United Kingdom
2Department of Genetics, School of Medicine, Stanford University. Stanford, CA 94304.
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  • ORCID record for Carlos Reding
  • For correspondence: rc_reding@teknik.io
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Abstract

Microbes associate in nature forming complex communities, but they are often studied in purified form. Here I show that differences in antibiotic sensitivity between co-existing bacterial species can modify the diffusion of antibiotic molecules, and alter the drug efficacy measured in conventional in vitro assays. I developed a model, validated experimentally using an artificial two-species community, showing antibiotic molecules re-distribute evenly across all species if they have similar drug sensitivity. The result is lower drug efficacy with respect to conventional in vitro assays. However, when species have different sensitivities, the re-distribution of antibiotic is uneven and most sensitive species accumulate more drug. The result is increased drug efficacy against these species. Despite this discrepancy with conventional laboratory assays, my data suggests the changes in drug efficacy are predictable and provides insight into how communities can affect the diffusion of other molecules in the environment.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Abstract, introduction and discussion rewritten to remove references to cancer. Added data for drug-sensitive neighbour, and further theoretical predictions that are consistent with the experimental data.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted February 07, 2022.
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Predicting the re-distribution of antibiotic molecules caused by inter-species interactions in microbial communities
Carlos Reding
bioRxiv 2020.12.14.422780; doi: https://doi.org/10.1101/2020.12.14.422780
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Predicting the re-distribution of antibiotic molecules caused by inter-species interactions in microbial communities
Carlos Reding
bioRxiv 2020.12.14.422780; doi: https://doi.org/10.1101/2020.12.14.422780

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