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Fast growth can counteract antibiotic susceptibility in shaping microbial community resilience to antibiotics

Microbial communities often face external perturbations that can induce lasting changes in their composition and functions. Our understanding of how multispecies communities respond to perturbations such as antibiotics is limited, with susceptibility assays performed on individual, isolated species...

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Detalles Bibliográficos
Autores principales: Amor, Daniel R., Gore, Jeff
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9169654/
https://www.ncbi.nlm.nih.gov/pubmed/35394868
http://dx.doi.org/10.1073/pnas.2116954119
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author Amor, Daniel R.
Gore, Jeff
author_facet Amor, Daniel R.
Gore, Jeff
author_sort Amor, Daniel R.
collection PubMed
description Microbial communities often face external perturbations that can induce lasting changes in their composition and functions. Our understanding of how multispecies communities respond to perturbations such as antibiotics is limited, with susceptibility assays performed on individual, isolated species our primary guide in predicting community transitions. Here, we studied how bacterial growth dynamics can overcome differences in antibiotic susceptibility in determining community resilience: the recovery of the original community state following antibiotic exposure. We used an experimental community containing Corynebacterium ammoniagenes and Lactobacillus plantarum that displays two alternative stable states as a result of mutual inhibition. Although C. ammoniagenes was more susceptible to chloramphenicol in monocultures, we found that chloramphenicol exposure nonetheless led to a transition from the L. plantarum-dominated to the C. ammoniagenes-dominated community state. Combining theory and experiments, we demonstrated that growth rate differences between the two species made the L. plantarum-dominated community less resilient to several antibiotics with different mechanisms of action. Taking advantage of an observed cooperativity—a dependence on population abundance—in the growth of C. ammoniagenes, we next analyzed in silico scenarios that could compromise the high resilience of the C. ammoniagenes-dominated state. The model predicted that lowering the dispersal rate, through interacting with the growth at low population densities, could make the C. ammoniagenes state fragile against virtually any kind of antibiotic, a prediction that we confirmed experimentally. Our results highlight that species susceptibility to antibiotics is often uninformative of community resilience, as growth dynamics in the wake of antibiotic exposure can play a dominant role.
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spelling pubmed-91696542022-10-08 Fast growth can counteract antibiotic susceptibility in shaping microbial community resilience to antibiotics Amor, Daniel R. Gore, Jeff Proc Natl Acad Sci U S A Biological Sciences Microbial communities often face external perturbations that can induce lasting changes in their composition and functions. Our understanding of how multispecies communities respond to perturbations such as antibiotics is limited, with susceptibility assays performed on individual, isolated species our primary guide in predicting community transitions. Here, we studied how bacterial growth dynamics can overcome differences in antibiotic susceptibility in determining community resilience: the recovery of the original community state following antibiotic exposure. We used an experimental community containing Corynebacterium ammoniagenes and Lactobacillus plantarum that displays two alternative stable states as a result of mutual inhibition. Although C. ammoniagenes was more susceptible to chloramphenicol in monocultures, we found that chloramphenicol exposure nonetheless led to a transition from the L. plantarum-dominated to the C. ammoniagenes-dominated community state. Combining theory and experiments, we demonstrated that growth rate differences between the two species made the L. plantarum-dominated community less resilient to several antibiotics with different mechanisms of action. Taking advantage of an observed cooperativity—a dependence on population abundance—in the growth of C. ammoniagenes, we next analyzed in silico scenarios that could compromise the high resilience of the C. ammoniagenes-dominated state. The model predicted that lowering the dispersal rate, through interacting with the growth at low population densities, could make the C. ammoniagenes state fragile against virtually any kind of antibiotic, a prediction that we confirmed experimentally. Our results highlight that species susceptibility to antibiotics is often uninformative of community resilience, as growth dynamics in the wake of antibiotic exposure can play a dominant role. National Academy of Sciences 2022-04-08 2022-04-12 /pmc/articles/PMC9169654/ /pubmed/35394868 http://dx.doi.org/10.1073/pnas.2116954119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Amor, Daniel R.
Gore, Jeff
Fast growth can counteract antibiotic susceptibility in shaping microbial community resilience to antibiotics
title Fast growth can counteract antibiotic susceptibility in shaping microbial community resilience to antibiotics
title_full Fast growth can counteract antibiotic susceptibility in shaping microbial community resilience to antibiotics
title_fullStr Fast growth can counteract antibiotic susceptibility in shaping microbial community resilience to antibiotics
title_full_unstemmed Fast growth can counteract antibiotic susceptibility in shaping microbial community resilience to antibiotics
title_short Fast growth can counteract antibiotic susceptibility in shaping microbial community resilience to antibiotics
title_sort fast growth can counteract antibiotic susceptibility in shaping microbial community resilience to antibiotics
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9169654/
https://www.ncbi.nlm.nih.gov/pubmed/35394868
http://dx.doi.org/10.1073/pnas.2116954119
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