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A perturbation model of the gut microbiome’s response to antibiotics

Liam P. Shaw, Chris P. Barnes, A. Sarah Walker, Nigel Klein, Francois Balloux
doi: https://doi.org/10.1101/222398
Liam P. Shaw
1UCL Genetics Institute, UCL, London
2CoMPLEX, UCL, London
3UCL Institute of Child Health, UCL, London
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Chris P. Barnes
4Cell and Developmental Biology, UCL, London
5Department of Genetics, Evolution and Environment (GEE), UCL, London
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A. Sarah Walker
6MRC Clinical Trials Unit at UCL, UCL, London
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Nigel Klein
3UCL Institute of Child Health, UCL, London
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Francois Balloux
1UCL Genetics Institute, UCL, London
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Abstract

Even short courses of antibiotics are known to reduce gut microbiome diversity. However, there has been limited mathematical modelling of the associated dynamical time-response. Here, we take inspiration from a ‘stability landscape’ schematic and develop an impulse-response model of antibiotic perturbation. We fit this model to previously published data where individuals took a ten-day course of antibiotics (clindamycin or ciprofloxacin) and were sampled up to a year afterwards. By fitting an extended model allowing for a transition to an alternative stable state, we find support for a long-term transition to an alternative community state one year after taking antibiotics. This implies that a single treatment of antibiotics not only reduces the diversity of the gut flora for up to a year but also alters its composition, possibly indefinitely. Our results provide quantitative support for a conceptual picture of the gut microbiome and demonstrate that simple models can provide biological insight.

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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 4.0 International license.
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Posted November 20, 2017.
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A perturbation model of the gut microbiome’s response to antibiotics
Liam P. Shaw, Chris P. Barnes, A. Sarah Walker, Nigel Klein, Francois Balloux
bioRxiv 222398; doi: https://doi.org/10.1101/222398
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A perturbation model of the gut microbiome’s response to antibiotics
Liam P. Shaw, Chris P. Barnes, A. Sarah Walker, Nigel Klein, Francois Balloux
bioRxiv 222398; doi: https://doi.org/10.1101/222398

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