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Modeling the ecology of parasitic plasmids
Plasmids are autonomous genetic elements that can be exchanged between microorganisms via horizontal gene transfer (HGT). Despite the central role they play in antibiotic resistance and modern biotechnology, our understanding of plasmids’ natural ecology is limited. Recent experiments have shown tha...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8443676/ https://www.ncbi.nlm.nih.gov/pubmed/33833414 http://dx.doi.org/10.1038/s41396-021-00954-6 |
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author | Lopez, Jaime G. Donia, Mohamed S. Wingreen, Ned S. |
author_facet | Lopez, Jaime G. Donia, Mohamed S. Wingreen, Ned S. |
author_sort | Lopez, Jaime G. |
collection | PubMed |
description | Plasmids are autonomous genetic elements that can be exchanged between microorganisms via horizontal gene transfer (HGT). Despite the central role they play in antibiotic resistance and modern biotechnology, our understanding of plasmids’ natural ecology is limited. Recent experiments have shown that plasmids can spread even when they are a burden to the cell, suggesting that natural plasmids may exist as parasites. Here, we use mathematical modeling to explore the ecology of such parasitic plasmids. We first develop models of single plasmids and find that a plasmid’s population dynamics and optimal infection strategy are strongly determined by the plasmid’s HGT mechanism. We then analyze models of co-infecting plasmids and show that parasitic plasmids are prone to a “tragedy of the commons” in which runaway plasmid invasion severely reduces host fitness. We propose that this tragedy of the commons is averted by selection between competing populations and demonstrate this effect in a metapopulation model. We derive predicted distributions of unique plasmid types in genomes—comparison to the distribution of plasmids in a collection of 17,725 genomes supports a model of parasitic plasmids with positive plasmid–plasmid interactions that ameliorate plasmid fitness costs or promote the invasion of new plasmids. |
format | Online Article Text |
id | pubmed-8443676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84436762021-10-04 Modeling the ecology of parasitic plasmids Lopez, Jaime G. Donia, Mohamed S. Wingreen, Ned S. ISME J Article Plasmids are autonomous genetic elements that can be exchanged between microorganisms via horizontal gene transfer (HGT). Despite the central role they play in antibiotic resistance and modern biotechnology, our understanding of plasmids’ natural ecology is limited. Recent experiments have shown that plasmids can spread even when they are a burden to the cell, suggesting that natural plasmids may exist as parasites. Here, we use mathematical modeling to explore the ecology of such parasitic plasmids. We first develop models of single plasmids and find that a plasmid’s population dynamics and optimal infection strategy are strongly determined by the plasmid’s HGT mechanism. We then analyze models of co-infecting plasmids and show that parasitic plasmids are prone to a “tragedy of the commons” in which runaway plasmid invasion severely reduces host fitness. We propose that this tragedy of the commons is averted by selection between competing populations and demonstrate this effect in a metapopulation model. We derive predicted distributions of unique plasmid types in genomes—comparison to the distribution of plasmids in a collection of 17,725 genomes supports a model of parasitic plasmids with positive plasmid–plasmid interactions that ameliorate plasmid fitness costs or promote the invasion of new plasmids. Nature Publishing Group UK 2021-04-08 2021-10 /pmc/articles/PMC8443676/ /pubmed/33833414 http://dx.doi.org/10.1038/s41396-021-00954-6 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Lopez, Jaime G. Donia, Mohamed S. Wingreen, Ned S. Modeling the ecology of parasitic plasmids |
title | Modeling the ecology of parasitic plasmids |
title_full | Modeling the ecology of parasitic plasmids |
title_fullStr | Modeling the ecology of parasitic plasmids |
title_full_unstemmed | Modeling the ecology of parasitic plasmids |
title_short | Modeling the ecology of parasitic plasmids |
title_sort | modeling the ecology of parasitic plasmids |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8443676/ https://www.ncbi.nlm.nih.gov/pubmed/33833414 http://dx.doi.org/10.1038/s41396-021-00954-6 |
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