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Local adaptation at higher trophic levels: contrasting hyperparasite–pathogen infection dynamics in the field and laboratory
Predicting and controlling infectious disease epidemics is a major challenge facing the management of agriculture, human and wildlife health. Co‐evolutionarily derived patterns of local adaptation among pathogen populations have the potential to generate variation in disease epidemiology; however, s...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5412677/ https://www.ncbi.nlm.nih.gov/pubmed/27859910 http://dx.doi.org/10.1111/mec.13928 |
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author | Parratt, Steven R. Barrès, Benoit Penczykowski, Rachel M. Laine, Anna‐Liisa |
author_facet | Parratt, Steven R. Barrès, Benoit Penczykowski, Rachel M. Laine, Anna‐Liisa |
author_sort | Parratt, Steven R. |
collection | PubMed |
description | Predicting and controlling infectious disease epidemics is a major challenge facing the management of agriculture, human and wildlife health. Co‐evolutionarily derived patterns of local adaptation among pathogen populations have the potential to generate variation in disease epidemiology; however, studies of local adaptation in disease systems have mostly focused on interactions between competing pathogens or pathogens and their hosts. In nature, parasites and pathogens are also subject to attack by hyperparasitic natural enemies that can severely impact upon their infection dynamics. However, few studies have investigated whether this interaction varies across combinations of pathogen–hyperparasite strains, and whether this influences hyperparasite incidence in natural pathogen populations. Here, we test whether the association between a hyperparasitic fungus, Ampelomyces, and a single powdery mildew host, Podosphaera plantaginis, varies among genotype combinations, and whether this drives hyperparasite incidence in nature. Laboratory inoculation studies reveal that genotype, genotype × genotype interactions and local adaptation affect hyperparasite infection. However, observations of a natural pathogen metapopulation reveal that spatial rather than genetic factors predict the risk of hyperparasite presence. Our results highlight how sensitive the outcome of biocontrol using hyperparasites is to selection of hyperparasite strains. |
format | Online Article Text |
id | pubmed-5412677 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-54126772017-05-15 Local adaptation at higher trophic levels: contrasting hyperparasite–pathogen infection dynamics in the field and laboratory Parratt, Steven R. Barrès, Benoit Penczykowski, Rachel M. Laine, Anna‐Liisa Mol Ecol Insights on Microbial Adaptation from Patterns of Local Adaptation in Nature Predicting and controlling infectious disease epidemics is a major challenge facing the management of agriculture, human and wildlife health. Co‐evolutionarily derived patterns of local adaptation among pathogen populations have the potential to generate variation in disease epidemiology; however, studies of local adaptation in disease systems have mostly focused on interactions between competing pathogens or pathogens and their hosts. In nature, parasites and pathogens are also subject to attack by hyperparasitic natural enemies that can severely impact upon their infection dynamics. However, few studies have investigated whether this interaction varies across combinations of pathogen–hyperparasite strains, and whether this influences hyperparasite incidence in natural pathogen populations. Here, we test whether the association between a hyperparasitic fungus, Ampelomyces, and a single powdery mildew host, Podosphaera plantaginis, varies among genotype combinations, and whether this drives hyperparasite incidence in nature. Laboratory inoculation studies reveal that genotype, genotype × genotype interactions and local adaptation affect hyperparasite infection. However, observations of a natural pathogen metapopulation reveal that spatial rather than genetic factors predict the risk of hyperparasite presence. Our results highlight how sensitive the outcome of biocontrol using hyperparasites is to selection of hyperparasite strains. John Wiley and Sons Inc. 2016-12-24 2017-04 /pmc/articles/PMC5412677/ /pubmed/27859910 http://dx.doi.org/10.1111/mec.13928 Text en © 2016 The Authors Molecular Ecology Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Insights on Microbial Adaptation from Patterns of Local Adaptation in Nature Parratt, Steven R. Barrès, Benoit Penczykowski, Rachel M. Laine, Anna‐Liisa Local adaptation at higher trophic levels: contrasting hyperparasite–pathogen infection dynamics in the field and laboratory |
title | Local adaptation at higher trophic levels: contrasting hyperparasite–pathogen infection dynamics in the field and laboratory |
title_full | Local adaptation at higher trophic levels: contrasting hyperparasite–pathogen infection dynamics in the field and laboratory |
title_fullStr | Local adaptation at higher trophic levels: contrasting hyperparasite–pathogen infection dynamics in the field and laboratory |
title_full_unstemmed | Local adaptation at higher trophic levels: contrasting hyperparasite–pathogen infection dynamics in the field and laboratory |
title_short | Local adaptation at higher trophic levels: contrasting hyperparasite–pathogen infection dynamics in the field and laboratory |
title_sort | local adaptation at higher trophic levels: contrasting hyperparasite–pathogen infection dynamics in the field and laboratory |
topic | Insights on Microbial Adaptation from Patterns of Local Adaptation in Nature |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5412677/ https://www.ncbi.nlm.nih.gov/pubmed/27859910 http://dx.doi.org/10.1111/mec.13928 |
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