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Neutral genomic signatures of host-parasite coevolution
BACKGROUND: Coevolution is a selective process of reciprocal adaptation in hosts and parasites or in mutualistic symbionts. Classic population genetics theory predicts the signatures of selection at the interacting loci of both species, but not the neutral genome-wide polymorphism patterns. To bridg...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924072/ https://www.ncbi.nlm.nih.gov/pubmed/31856710 http://dx.doi.org/10.1186/s12862-019-1556-3 |
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author | živković, Daniel John, Sona Verin, Mélissa Stephan, Wolfgang Tellier, Aurélien |
author_facet | živković, Daniel John, Sona Verin, Mélissa Stephan, Wolfgang Tellier, Aurélien |
author_sort | živković, Daniel |
collection | PubMed |
description | BACKGROUND: Coevolution is a selective process of reciprocal adaptation in hosts and parasites or in mutualistic symbionts. Classic population genetics theory predicts the signatures of selection at the interacting loci of both species, but not the neutral genome-wide polymorphism patterns. To bridge this gap, we build an eco-evolutionary model, where neutral genomic changes over time are driven by a single selected locus in hosts and parasites via a simple biallelic gene-for-gene or matching-allele interaction. This coevolutionary process may lead to cyclic changes in the sizes of the interacting populations. RESULTS: We investigate if and when these changes can be observed in the site frequency spectrum of neutral polymorphisms from host and parasite full genome data. We show that changes of the host population size are too smooth to be observable in its polymorphism pattern over the course of time. Conversely, the parasite population may undergo a series of strong bottlenecks occurring on a slower relative time scale, which may lead to observable changes in a time series sample. We also extend our results to cases with 1) several parasites per host accelerating relative time, and 2) multiple parasite generations per host generation slowing down rescaled time. CONCLUSIONS: Our results show that time series sampling of host and parasite populations with full genome data are crucial to understand if and how coevolution occurs. This model provides therefore a framework to interpret and draw inference from genome-wide polymorphism data of interacting species. |
format | Online Article Text |
id | pubmed-6924072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69240722019-12-30 Neutral genomic signatures of host-parasite coevolution živković, Daniel John, Sona Verin, Mélissa Stephan, Wolfgang Tellier, Aurélien BMC Evol Biol Research Article BACKGROUND: Coevolution is a selective process of reciprocal adaptation in hosts and parasites or in mutualistic symbionts. Classic population genetics theory predicts the signatures of selection at the interacting loci of both species, but not the neutral genome-wide polymorphism patterns. To bridge this gap, we build an eco-evolutionary model, where neutral genomic changes over time are driven by a single selected locus in hosts and parasites via a simple biallelic gene-for-gene or matching-allele interaction. This coevolutionary process may lead to cyclic changes in the sizes of the interacting populations. RESULTS: We investigate if and when these changes can be observed in the site frequency spectrum of neutral polymorphisms from host and parasite full genome data. We show that changes of the host population size are too smooth to be observable in its polymorphism pattern over the course of time. Conversely, the parasite population may undergo a series of strong bottlenecks occurring on a slower relative time scale, which may lead to observable changes in a time series sample. We also extend our results to cases with 1) several parasites per host accelerating relative time, and 2) multiple parasite generations per host generation slowing down rescaled time. CONCLUSIONS: Our results show that time series sampling of host and parasite populations with full genome data are crucial to understand if and how coevolution occurs. This model provides therefore a framework to interpret and draw inference from genome-wide polymorphism data of interacting species. BioMed Central 2019-12-19 /pmc/articles/PMC6924072/ /pubmed/31856710 http://dx.doi.org/10.1186/s12862-019-1556-3 Text en © živkovićet al. 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article živković, Daniel John, Sona Verin, Mélissa Stephan, Wolfgang Tellier, Aurélien Neutral genomic signatures of host-parasite coevolution |
title | Neutral genomic signatures of host-parasite coevolution |
title_full | Neutral genomic signatures of host-parasite coevolution |
title_fullStr | Neutral genomic signatures of host-parasite coevolution |
title_full_unstemmed | Neutral genomic signatures of host-parasite coevolution |
title_short | Neutral genomic signatures of host-parasite coevolution |
title_sort | neutral genomic signatures of host-parasite coevolution |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924072/ https://www.ncbi.nlm.nih.gov/pubmed/31856710 http://dx.doi.org/10.1186/s12862-019-1556-3 |
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