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Fitness effects of plasmids shape the structure of bacteria–plasmid interaction networks

Antimicrobial resistance (AMR) genes are often carried on broad host range plasmids, and the spread of AMR within microbial communities will therefore depend on the structure of bacteria–plasmid networks. Empirical and theoretical studies of ecological interaction networks suggest that network struc...

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Autores principales: Newbury, Arthur, Dawson, Beth, Klümper, Uli, Hesse, Elze, Castledine, Meaghan, Fontaine, Colin, Buckling, Angus, Sanders, Dirk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295774/
https://www.ncbi.nlm.nih.gov/pubmed/35613058
http://dx.doi.org/10.1073/pnas.2118361119
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author Newbury, Arthur
Dawson, Beth
Klümper, Uli
Hesse, Elze
Castledine, Meaghan
Fontaine, Colin
Buckling, Angus
Sanders, Dirk
author_facet Newbury, Arthur
Dawson, Beth
Klümper, Uli
Hesse, Elze
Castledine, Meaghan
Fontaine, Colin
Buckling, Angus
Sanders, Dirk
author_sort Newbury, Arthur
collection PubMed
description Antimicrobial resistance (AMR) genes are often carried on broad host range plasmids, and the spread of AMR within microbial communities will therefore depend on the structure of bacteria–plasmid networks. Empirical and theoretical studies of ecological interaction networks suggest that network structure differs between communities that are predominantly mutualistic versus antagonistic, with the former showing more generalized interactions (i.e., species interact with many others to a similar extent). This suggests that mutualistic bacteria–plasmid networks—where antibiotics are present and plasmids carry AMR genes—will be more generalized than antagonistic interactions, where plasmids do not confer benefits to their hosts. We first develop a simple theory to explain this link: fitness benefits of harboring a mutualistic symbiont promote the spread of the symbiont to other species. We find support for this theory using an experimental bacteria–symbiont (plasmid) community, where the same plasmid can be mutualistic or antagonistic depending on the presence of antibiotics. This short-term and parsimonious mechanism complements a longer-term mechanism (coevolution and stability) explaining the link between mutualistic and antagonistic interactions and network structure.
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spelling pubmed-92957742022-07-20 Fitness effects of plasmids shape the structure of bacteria–plasmid interaction networks Newbury, Arthur Dawson, Beth Klümper, Uli Hesse, Elze Castledine, Meaghan Fontaine, Colin Buckling, Angus Sanders, Dirk Proc Natl Acad Sci U S A Biological Sciences Antimicrobial resistance (AMR) genes are often carried on broad host range plasmids, and the spread of AMR within microbial communities will therefore depend on the structure of bacteria–plasmid networks. Empirical and theoretical studies of ecological interaction networks suggest that network structure differs between communities that are predominantly mutualistic versus antagonistic, with the former showing more generalized interactions (i.e., species interact with many others to a similar extent). This suggests that mutualistic bacteria–plasmid networks—where antibiotics are present and plasmids carry AMR genes—will be more generalized than antagonistic interactions, where plasmids do not confer benefits to their hosts. We first develop a simple theory to explain this link: fitness benefits of harboring a mutualistic symbiont promote the spread of the symbiont to other species. We find support for this theory using an experimental bacteria–symbiont (plasmid) community, where the same plasmid can be mutualistic or antagonistic depending on the presence of antibiotics. This short-term and parsimonious mechanism complements a longer-term mechanism (coevolution and stability) explaining the link between mutualistic and antagonistic interactions and network structure. National Academy of Sciences 2022-05-25 2022-05-31 /pmc/articles/PMC9295774/ /pubmed/35613058 http://dx.doi.org/10.1073/pnas.2118361119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Biological Sciences
Newbury, Arthur
Dawson, Beth
Klümper, Uli
Hesse, Elze
Castledine, Meaghan
Fontaine, Colin
Buckling, Angus
Sanders, Dirk
Fitness effects of plasmids shape the structure of bacteria–plasmid interaction networks
title Fitness effects of plasmids shape the structure of bacteria–plasmid interaction networks
title_full Fitness effects of plasmids shape the structure of bacteria–plasmid interaction networks
title_fullStr Fitness effects of plasmids shape the structure of bacteria–plasmid interaction networks
title_full_unstemmed Fitness effects of plasmids shape the structure of bacteria–plasmid interaction networks
title_short Fitness effects of plasmids shape the structure of bacteria–plasmid interaction networks
title_sort fitness effects of plasmids shape the structure of bacteria–plasmid interaction networks
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295774/
https://www.ncbi.nlm.nih.gov/pubmed/35613058
http://dx.doi.org/10.1073/pnas.2118361119
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