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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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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. |
format | Online Article Text |
id | pubmed-9295774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
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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