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Patterns and drivers of vector-borne microparasites in a classic metapopulation
Many organisms live in fragmented populations, which has profound consequences on the dynamics of associated parasites. Metapopulation theory offers a canonical framework for predicting the effects of fragmentation on spatiotemporal host–parasite dynamics. However, empirical studies of parasites in...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577662/ https://www.ncbi.nlm.nih.gov/pubmed/37519240 http://dx.doi.org/10.1017/S0031182023000677 |
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author | Mackenzie, Laura S. Lambin, Xavier Bryce, Emma Davies, Claire L. Hassall, Richard Shati, Ali A. M. Sutherland, Chris Telfer, Sandra E. |
author_facet | Mackenzie, Laura S. Lambin, Xavier Bryce, Emma Davies, Claire L. Hassall, Richard Shati, Ali A. M. Sutherland, Chris Telfer, Sandra E. |
author_sort | Mackenzie, Laura S. |
collection | PubMed |
description | Many organisms live in fragmented populations, which has profound consequences on the dynamics of associated parasites. Metapopulation theory offers a canonical framework for predicting the effects of fragmentation on spatiotemporal host–parasite dynamics. However, empirical studies of parasites in classical metapopulations remain rare, particularly for vector-borne parasites. Here, we quantify spatiotemporal patterns and possible drivers of infection probability for several ectoparasites (fleas, Ixodes trianguliceps and Ixodes ricinus) and vector-borne microparasites (Babesia microti, Bartonella spp., Hepatozoon spp.) in a classically functioning metapopulation of water vole hosts. Results suggest that the relative importance of vector or host dynamics on microparasite infection probabilities is related to parasite life-histories. Bartonella, a microparasite with a fast life-history, was positively associated with both host and vector abundances at several spatial and temporal scales. In contrast, B. microti, a tick-borne parasite with a slow life-history, was only associated with vector dynamics. Further, we provide evidence that life-history shaped parasite dynamics, including occupancy and colonization rates, in the metapopulation. Lastly, our findings were consistent with the hypothesis that landscape connectivity was determined by distance-based dispersal of the focal hosts. We provide essential empirical evidence that contributes to the development of a comprehensive theory of metapopulation processes of vector-borne parasites. |
format | Online Article Text |
id | pubmed-10577662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105776622023-10-17 Patterns and drivers of vector-borne microparasites in a classic metapopulation Mackenzie, Laura S. Lambin, Xavier Bryce, Emma Davies, Claire L. Hassall, Richard Shati, Ali A. M. Sutherland, Chris Telfer, Sandra E. Parasitology Research Article Many organisms live in fragmented populations, which has profound consequences on the dynamics of associated parasites. Metapopulation theory offers a canonical framework for predicting the effects of fragmentation on spatiotemporal host–parasite dynamics. However, empirical studies of parasites in classical metapopulations remain rare, particularly for vector-borne parasites. Here, we quantify spatiotemporal patterns and possible drivers of infection probability for several ectoparasites (fleas, Ixodes trianguliceps and Ixodes ricinus) and vector-borne microparasites (Babesia microti, Bartonella spp., Hepatozoon spp.) in a classically functioning metapopulation of water vole hosts. Results suggest that the relative importance of vector or host dynamics on microparasite infection probabilities is related to parasite life-histories. Bartonella, a microparasite with a fast life-history, was positively associated with both host and vector abundances at several spatial and temporal scales. In contrast, B. microti, a tick-borne parasite with a slow life-history, was only associated with vector dynamics. Further, we provide evidence that life-history shaped parasite dynamics, including occupancy and colonization rates, in the metapopulation. Lastly, our findings were consistent with the hypothesis that landscape connectivity was determined by distance-based dispersal of the focal hosts. We provide essential empirical evidence that contributes to the development of a comprehensive theory of metapopulation processes of vector-borne parasites. Cambridge University Press 2023-09 2023-07-31 /pmc/articles/PMC10577662/ /pubmed/37519240 http://dx.doi.org/10.1017/S0031182023000677 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Research Article Mackenzie, Laura S. Lambin, Xavier Bryce, Emma Davies, Claire L. Hassall, Richard Shati, Ali A. M. Sutherland, Chris Telfer, Sandra E. Patterns and drivers of vector-borne microparasites in a classic metapopulation |
title | Patterns and drivers of vector-borne microparasites in a classic metapopulation |
title_full | Patterns and drivers of vector-borne microparasites in a classic metapopulation |
title_fullStr | Patterns and drivers of vector-borne microparasites in a classic metapopulation |
title_full_unstemmed | Patterns and drivers of vector-borne microparasites in a classic metapopulation |
title_short | Patterns and drivers of vector-borne microparasites in a classic metapopulation |
title_sort | patterns and drivers of vector-borne microparasites in a classic metapopulation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10577662/ https://www.ncbi.nlm.nih.gov/pubmed/37519240 http://dx.doi.org/10.1017/S0031182023000677 |
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