Cargando…
Coevolutionary feedback elevates constitutive immune defence: a protein network model
BACKGROUND: Organisms have evolved a variety of defence mechanisms against natural enemies, which are typically used at the expense of other life history components. Induced defence mechanisms impose minor costs when pathogens are absent, but mounting an induced response can be time-consuming. There...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858902/ https://www.ncbi.nlm.nih.gov/pubmed/27150135 http://dx.doi.org/10.1186/s12862-016-0667-3 |
_version_ | 1782430879214206976 |
---|---|
author | Kamiya, Tsukushi Oña, Leonardo Wertheim, Bregje van Doorn, G. Sander |
author_facet | Kamiya, Tsukushi Oña, Leonardo Wertheim, Bregje van Doorn, G. Sander |
author_sort | Kamiya, Tsukushi |
collection | PubMed |
description | BACKGROUND: Organisms have evolved a variety of defence mechanisms against natural enemies, which are typically used at the expense of other life history components. Induced defence mechanisms impose minor costs when pathogens are absent, but mounting an induced response can be time-consuming. Therefore, to ensure timely protection, organisms may partly rely on constitutive defence despite its sustained cost that renders it less economical. Existing theoretical models addressing the optimal combination of constitutive versus induced defence focus solely on host adaptation and ignore the fact that the efficacy of protection depends on genotype-specific host-parasite interactions. Here, we develop a signal-transduction network model inspired by the invertebrate innate immune system, in order to address the effect of parasite coevolution on the optimal combination of constitutive and induced defence. RESULTS: Our analysis reveals that coevolution of parasites with specific immune components shifts the host’s optimal allocation from induced towards constitutive immunity. This effect is dependent upon whether receptors (for detection) or effectors (for elimination) are subjected to parasite counter-evolution. A parasite population subjected to a specific immune receptor can evolve heightened genetic diversity, which makes parasite detection more difficult for the hosts. We show that this coevolutionary feedback renders the induced immune response less efficient, forcing the hosts to invest more heavily in constitutive immunity. Parasites diversify to escape elimination by a specific effector too. However, this diversification does not alter the optimal balance between constitutive and induced defence: the reliance on constitutive defence is promoted by the receptor’s inability to detect, but not the effectors’ inability to eliminate parasites. If effectors are useless, hosts simply adapt to tolerate, rather than to invest in any defence against parasites. These contrasting results indicate that evolutionary feedback between host and parasite populations is a key factor shaping the selection regime for immune networks facing antagonistic coevolution. CONCLUSION: Parasite coevolution against specific immune defence alters the prediction of the optimal use of defence, and the effect of parasite coevolution varies between different immune components. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12862-016-0667-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4858902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48589022016-05-07 Coevolutionary feedback elevates constitutive immune defence: a protein network model Kamiya, Tsukushi Oña, Leonardo Wertheim, Bregje van Doorn, G. Sander BMC Evol Biol Research Article BACKGROUND: Organisms have evolved a variety of defence mechanisms against natural enemies, which are typically used at the expense of other life history components. Induced defence mechanisms impose minor costs when pathogens are absent, but mounting an induced response can be time-consuming. Therefore, to ensure timely protection, organisms may partly rely on constitutive defence despite its sustained cost that renders it less economical. Existing theoretical models addressing the optimal combination of constitutive versus induced defence focus solely on host adaptation and ignore the fact that the efficacy of protection depends on genotype-specific host-parasite interactions. Here, we develop a signal-transduction network model inspired by the invertebrate innate immune system, in order to address the effect of parasite coevolution on the optimal combination of constitutive and induced defence. RESULTS: Our analysis reveals that coevolution of parasites with specific immune components shifts the host’s optimal allocation from induced towards constitutive immunity. This effect is dependent upon whether receptors (for detection) or effectors (for elimination) are subjected to parasite counter-evolution. A parasite population subjected to a specific immune receptor can evolve heightened genetic diversity, which makes parasite detection more difficult for the hosts. We show that this coevolutionary feedback renders the induced immune response less efficient, forcing the hosts to invest more heavily in constitutive immunity. Parasites diversify to escape elimination by a specific effector too. However, this diversification does not alter the optimal balance between constitutive and induced defence: the reliance on constitutive defence is promoted by the receptor’s inability to detect, but not the effectors’ inability to eliminate parasites. If effectors are useless, hosts simply adapt to tolerate, rather than to invest in any defence against parasites. These contrasting results indicate that evolutionary feedback between host and parasite populations is a key factor shaping the selection regime for immune networks facing antagonistic coevolution. CONCLUSION: Parasite coevolution against specific immune defence alters the prediction of the optimal use of defence, and the effect of parasite coevolution varies between different immune components. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12862-016-0667-3) contains supplementary material, which is available to authorized users. BioMed Central 2016-05-05 /pmc/articles/PMC4858902/ /pubmed/27150135 http://dx.doi.org/10.1186/s12862-016-0667-3 Text en © Kamiya et al. 2016 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 Kamiya, Tsukushi Oña, Leonardo Wertheim, Bregje van Doorn, G. Sander Coevolutionary feedback elevates constitutive immune defence: a protein network model |
title | Coevolutionary feedback elevates constitutive immune defence: a protein network model |
title_full | Coevolutionary feedback elevates constitutive immune defence: a protein network model |
title_fullStr | Coevolutionary feedback elevates constitutive immune defence: a protein network model |
title_full_unstemmed | Coevolutionary feedback elevates constitutive immune defence: a protein network model |
title_short | Coevolutionary feedback elevates constitutive immune defence: a protein network model |
title_sort | coevolutionary feedback elevates constitutive immune defence: a protein network model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4858902/ https://www.ncbi.nlm.nih.gov/pubmed/27150135 http://dx.doi.org/10.1186/s12862-016-0667-3 |
work_keys_str_mv | AT kamiyatsukushi coevolutionaryfeedbackelevatesconstitutiveimmunedefenceaproteinnetworkmodel AT onaleonardo coevolutionaryfeedbackelevatesconstitutiveimmunedefenceaproteinnetworkmodel AT wertheimbregje coevolutionaryfeedbackelevatesconstitutiveimmunedefenceaproteinnetworkmodel AT vandoorngsander coevolutionaryfeedbackelevatesconstitutiveimmunedefenceaproteinnetworkmodel |