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Mapping the adaptive landscape of a major agricultural pathogen reveals evolutionary constraints across heterogeneous environments

The adaptive potential of pathogens in novel or heterogeneous environments underpins the risk of disease epidemics. Antagonistic pleiotropy or differential resource allocation among life-history traits can constrain pathogen adaptation. However, we lack understanding of how the genetic architecture...

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Autores principales: Dutta, Anik, Hartmann, Fanny E., Francisco, Carolina Sardinha, McDonald, Bruce A., Croll, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8115182/
https://www.ncbi.nlm.nih.gov/pubmed/33452474
http://dx.doi.org/10.1038/s41396-020-00859-w
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author Dutta, Anik
Hartmann, Fanny E.
Francisco, Carolina Sardinha
McDonald, Bruce A.
Croll, Daniel
author_facet Dutta, Anik
Hartmann, Fanny E.
Francisco, Carolina Sardinha
McDonald, Bruce A.
Croll, Daniel
author_sort Dutta, Anik
collection PubMed
description The adaptive potential of pathogens in novel or heterogeneous environments underpins the risk of disease epidemics. Antagonistic pleiotropy or differential resource allocation among life-history traits can constrain pathogen adaptation. However, we lack understanding of how the genetic architecture of individual traits can generate trade-offs. Here, we report a large-scale study based on 145 global strains of the fungal wheat pathogen Zymoseptoria tritici from four continents. We measured 50 life-history traits, including virulence and reproduction on 12 different wheat hosts and growth responses to several abiotic stressors. To elucidate the genetic basis of adaptation, we used genome-wide association mapping coupled with genetic correlation analyses. We show that most traits are governed by polygenic architectures and are highly heritable suggesting that adaptation proceeds mainly through allele frequency shifts at many loci. We identified negative genetic correlations among traits related to host colonization and survival in stressful environments. Such genetic constraints indicate that pleiotropic effects could limit the pathogen’s ability to cause host damage. In contrast, adaptation to abiotic stress factors was likely facilitated by synergistic pleiotropy. Our study illustrates how comprehensive mapping of life-history trait architectures across diverse environments allows to predict evolutionary trajectories of pathogens confronted with environmental perturbations.
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spelling pubmed-81151822021-05-12 Mapping the adaptive landscape of a major agricultural pathogen reveals evolutionary constraints across heterogeneous environments Dutta, Anik Hartmann, Fanny E. Francisco, Carolina Sardinha McDonald, Bruce A. Croll, Daniel ISME J Article The adaptive potential of pathogens in novel or heterogeneous environments underpins the risk of disease epidemics. Antagonistic pleiotropy or differential resource allocation among life-history traits can constrain pathogen adaptation. However, we lack understanding of how the genetic architecture of individual traits can generate trade-offs. Here, we report a large-scale study based on 145 global strains of the fungal wheat pathogen Zymoseptoria tritici from four continents. We measured 50 life-history traits, including virulence and reproduction on 12 different wheat hosts and growth responses to several abiotic stressors. To elucidate the genetic basis of adaptation, we used genome-wide association mapping coupled with genetic correlation analyses. We show that most traits are governed by polygenic architectures and are highly heritable suggesting that adaptation proceeds mainly through allele frequency shifts at many loci. We identified negative genetic correlations among traits related to host colonization and survival in stressful environments. Such genetic constraints indicate that pleiotropic effects could limit the pathogen’s ability to cause host damage. In contrast, adaptation to abiotic stress factors was likely facilitated by synergistic pleiotropy. Our study illustrates how comprehensive mapping of life-history trait architectures across diverse environments allows to predict evolutionary trajectories of pathogens confronted with environmental perturbations. Nature Publishing Group UK 2021-01-15 2021-05 /pmc/articles/PMC8115182/ /pubmed/33452474 http://dx.doi.org/10.1038/s41396-020-00859-w Text en © The Author(s) 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
Dutta, Anik
Hartmann, Fanny E.
Francisco, Carolina Sardinha
McDonald, Bruce A.
Croll, Daniel
Mapping the adaptive landscape of a major agricultural pathogen reveals evolutionary constraints across heterogeneous environments
title Mapping the adaptive landscape of a major agricultural pathogen reveals evolutionary constraints across heterogeneous environments
title_full Mapping the adaptive landscape of a major agricultural pathogen reveals evolutionary constraints across heterogeneous environments
title_fullStr Mapping the adaptive landscape of a major agricultural pathogen reveals evolutionary constraints across heterogeneous environments
title_full_unstemmed Mapping the adaptive landscape of a major agricultural pathogen reveals evolutionary constraints across heterogeneous environments
title_short Mapping the adaptive landscape of a major agricultural pathogen reveals evolutionary constraints across heterogeneous environments
title_sort mapping the adaptive landscape of a major agricultural pathogen reveals evolutionary constraints across heterogeneous environments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8115182/
https://www.ncbi.nlm.nih.gov/pubmed/33452474
http://dx.doi.org/10.1038/s41396-020-00859-w
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