Cargando…
The relationship between pathogen life‐history traits and metapopulation dynamics
Plant pathogen traits, such as transmission mode and overwintering strategy, may have important effects on dispersal and persistence, and drive disease dynamics. Still, we lack insights into how life‐history traits influence spatiotemporal disease dynamics. We adopted a multifaceted approach, combin...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306763/ https://www.ncbi.nlm.nih.gov/pubmed/34997974 http://dx.doi.org/10.1111/nph.17948 |
_version_ | 1784752613848252416 |
---|---|
author | van Dijk, Laura J. A. Ehrlén, Johan Tack, Ayco J. M. |
author_facet | van Dijk, Laura J. A. Ehrlén, Johan Tack, Ayco J. M. |
author_sort | van Dijk, Laura J. A. |
collection | PubMed |
description | Plant pathogen traits, such as transmission mode and overwintering strategy, may have important effects on dispersal and persistence, and drive disease dynamics. Still, we lack insights into how life‐history traits influence spatiotemporal disease dynamics. We adopted a multifaceted approach, combining experimental assays, theory and field surveys, to investigate whether information about two pathogen life‐history traits – infectivity and overwintering strategy – can predict pathogen metapopulation dynamics in natural systems. For this, we focused on four fungal pathogens (two rust fungi, one chytrid fungus and one smut fungus) on the forest herb Anemone nemorosa. Pathogens infecting new plants mostly via spores (the chytrid and smut fungi) had higher patch occupancies and colonization rates than pathogens causing mainly systemic infections and overwintering in the rhizomes (the two rust fungi). Although the rust fungi more often occupied well‐connected plant patches, the chytrid and smut fungi were equally or more common in isolated patches. Host patch size was positively related to patch occupancy and colonization rates for all pathogens. Predicting disease dynamics is crucial for understanding the ecological and evolutionary dynamics of host–pathogen interactions, and to prevent disease outbreaks. Our study shows that combining experiments, theory and field observations is a useful way to predict disease dynamics. |
format | Online Article Text |
id | pubmed-9306763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93067632022-07-28 The relationship between pathogen life‐history traits and metapopulation dynamics van Dijk, Laura J. A. Ehrlén, Johan Tack, Ayco J. M. New Phytol Research Plant pathogen traits, such as transmission mode and overwintering strategy, may have important effects on dispersal and persistence, and drive disease dynamics. Still, we lack insights into how life‐history traits influence spatiotemporal disease dynamics. We adopted a multifaceted approach, combining experimental assays, theory and field surveys, to investigate whether information about two pathogen life‐history traits – infectivity and overwintering strategy – can predict pathogen metapopulation dynamics in natural systems. For this, we focused on four fungal pathogens (two rust fungi, one chytrid fungus and one smut fungus) on the forest herb Anemone nemorosa. Pathogens infecting new plants mostly via spores (the chytrid and smut fungi) had higher patch occupancies and colonization rates than pathogens causing mainly systemic infections and overwintering in the rhizomes (the two rust fungi). Although the rust fungi more often occupied well‐connected plant patches, the chytrid and smut fungi were equally or more common in isolated patches. Host patch size was positively related to patch occupancy and colonization rates for all pathogens. Predicting disease dynamics is crucial for understanding the ecological and evolutionary dynamics of host–pathogen interactions, and to prevent disease outbreaks. Our study shows that combining experiments, theory and field observations is a useful way to predict disease dynamics. John Wiley and Sons Inc. 2022-01-22 2022-03 /pmc/articles/PMC9306763/ /pubmed/34997974 http://dx.doi.org/10.1111/nph.17948 Text en © 2022 The Authors. New Phytologist © 2022 New Phytologist Foundation https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research van Dijk, Laura J. A. Ehrlén, Johan Tack, Ayco J. M. The relationship between pathogen life‐history traits and metapopulation dynamics |
title | The relationship between pathogen life‐history traits and metapopulation dynamics |
title_full | The relationship between pathogen life‐history traits and metapopulation dynamics |
title_fullStr | The relationship between pathogen life‐history traits and metapopulation dynamics |
title_full_unstemmed | The relationship between pathogen life‐history traits and metapopulation dynamics |
title_short | The relationship between pathogen life‐history traits and metapopulation dynamics |
title_sort | relationship between pathogen life‐history traits and metapopulation dynamics |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306763/ https://www.ncbi.nlm.nih.gov/pubmed/34997974 http://dx.doi.org/10.1111/nph.17948 |
work_keys_str_mv | AT vandijklauraja therelationshipbetweenpathogenlifehistorytraitsandmetapopulationdynamics AT ehrlenjohan therelationshipbetweenpathogenlifehistorytraitsandmetapopulationdynamics AT tackaycojm therelationshipbetweenpathogenlifehistorytraitsandmetapopulationdynamics AT vandijklauraja relationshipbetweenpathogenlifehistorytraitsandmetapopulationdynamics AT ehrlenjohan relationshipbetweenpathogenlifehistorytraitsandmetapopulationdynamics AT tackaycojm relationshipbetweenpathogenlifehistorytraitsandmetapopulationdynamics |