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The genomic basis of Red Queen dynamics during rapid reciprocal host–pathogen coevolution

Red Queen dynamics, involving coevolutionary interactions between species, are ubiquitous, shaping the evolution of diverse biological systems. To date, information on the underlying selection dynamics and the involved genome regions is mainly available for bacteria–phage systems or only one of the...

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Autores principales: Papkou, Andrei, Guzella, Thiago, Yang, Wentao, Koepper, Svenja, Pees, Barbara, Schalkowski, Rebecca, Barg, Mike-Christoph, Rosenstiel, Philip C., Teotónio, Henrique, Schulenburg, Hinrich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338873/
https://www.ncbi.nlm.nih.gov/pubmed/30598446
http://dx.doi.org/10.1073/pnas.1810402116
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author Papkou, Andrei
Guzella, Thiago
Yang, Wentao
Koepper, Svenja
Pees, Barbara
Schalkowski, Rebecca
Barg, Mike-Christoph
Rosenstiel, Philip C.
Teotónio, Henrique
Schulenburg, Hinrich
author_facet Papkou, Andrei
Guzella, Thiago
Yang, Wentao
Koepper, Svenja
Pees, Barbara
Schalkowski, Rebecca
Barg, Mike-Christoph
Rosenstiel, Philip C.
Teotónio, Henrique
Schulenburg, Hinrich
author_sort Papkou, Andrei
collection PubMed
description Red Queen dynamics, involving coevolutionary interactions between species, are ubiquitous, shaping the evolution of diverse biological systems. To date, information on the underlying selection dynamics and the involved genome regions is mainly available for bacteria–phage systems or only one of the antagonists of a eukaryotic host–pathogen interaction. We add to our understanding of these important coevolutionary interactions using an experimental host–pathogen model, which includes the nematode Caenorhabditis elegans and its pathogen Bacillus thuringiensis. We combined experimental evolution with time-shift experiments, in which a focal host or pathogen is tested against a coevolved antagonist from the past, present, or future, followed by genomic analysis. We show that (i) coevolution occurs rapidly within few generations, (ii) temporal coadaptation at the phenotypic level is found in parallel across replicate populations, consistent with antagonistic frequency-dependent selection, (iii) genomic changes in the pathogen match the phenotypic pattern and include copy number variations of a toxin-encoding plasmid, and (iv) host genomic changes do not match the phenotypic pattern and likely involve selective responses at more than one locus. By exploring the dynamics of coevolution at the phenotypic and genomic level for both host and pathogen simultaneously, our findings demonstrate a more complex model of the Red Queen, consisting of distinct selective processes acting on the two antagonists during rapid and reciprocal coadaptation.
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spelling pubmed-63388732019-01-23 The genomic basis of Red Queen dynamics during rapid reciprocal host–pathogen coevolution Papkou, Andrei Guzella, Thiago Yang, Wentao Koepper, Svenja Pees, Barbara Schalkowski, Rebecca Barg, Mike-Christoph Rosenstiel, Philip C. Teotónio, Henrique Schulenburg, Hinrich Proc Natl Acad Sci U S A Biological Sciences Red Queen dynamics, involving coevolutionary interactions between species, are ubiquitous, shaping the evolution of diverse biological systems. To date, information on the underlying selection dynamics and the involved genome regions is mainly available for bacteria–phage systems or only one of the antagonists of a eukaryotic host–pathogen interaction. We add to our understanding of these important coevolutionary interactions using an experimental host–pathogen model, which includes the nematode Caenorhabditis elegans and its pathogen Bacillus thuringiensis. We combined experimental evolution with time-shift experiments, in which a focal host or pathogen is tested against a coevolved antagonist from the past, present, or future, followed by genomic analysis. We show that (i) coevolution occurs rapidly within few generations, (ii) temporal coadaptation at the phenotypic level is found in parallel across replicate populations, consistent with antagonistic frequency-dependent selection, (iii) genomic changes in the pathogen match the phenotypic pattern and include copy number variations of a toxin-encoding plasmid, and (iv) host genomic changes do not match the phenotypic pattern and likely involve selective responses at more than one locus. By exploring the dynamics of coevolution at the phenotypic and genomic level for both host and pathogen simultaneously, our findings demonstrate a more complex model of the Red Queen, consisting of distinct selective processes acting on the two antagonists during rapid and reciprocal coadaptation. National Academy of Sciences 2019-01-15 2018-12-31 /pmc/articles/PMC6338873/ /pubmed/30598446 http://dx.doi.org/10.1073/pnas.1810402116 Text en Copyright © 2019 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access 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
Papkou, Andrei
Guzella, Thiago
Yang, Wentao
Koepper, Svenja
Pees, Barbara
Schalkowski, Rebecca
Barg, Mike-Christoph
Rosenstiel, Philip C.
Teotónio, Henrique
Schulenburg, Hinrich
The genomic basis of Red Queen dynamics during rapid reciprocal host–pathogen coevolution
title The genomic basis of Red Queen dynamics during rapid reciprocal host–pathogen coevolution
title_full The genomic basis of Red Queen dynamics during rapid reciprocal host–pathogen coevolution
title_fullStr The genomic basis of Red Queen dynamics during rapid reciprocal host–pathogen coevolution
title_full_unstemmed The genomic basis of Red Queen dynamics during rapid reciprocal host–pathogen coevolution
title_short The genomic basis of Red Queen dynamics during rapid reciprocal host–pathogen coevolution
title_sort genomic basis of red queen dynamics during rapid reciprocal host–pathogen coevolution
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6338873/
https://www.ncbi.nlm.nih.gov/pubmed/30598446
http://dx.doi.org/10.1073/pnas.1810402116
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