Patterns and drivers of vector-borne microparasites in a classic metapopulation

Xavier Lambin* (Corresponding Author)

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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 vectorborne parasites. Here, we quantify spatiotemporal patterns and possible drivers of infection
probability for several ectoparasites (fleas, Ixodes trianguliceps and I. ricinus) and vectorborne 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 colonisation 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.
Original languageEnglish
Pages (from-to)1-57
Number of pages57
JournalParasitology
DOIs
Publication statusPublished - 31 Jul 2023

Bibliographical note

Acknowledgements
We thank all volunteers who assisted with the field and laboratory work. Figures 1, 2 and 4 were created with BioRender.com.

Financial support
This work was supported by the UKRI Biotechnology and Biological Sciences Research
Council (BBSRC) grant number BB/M010996/1. CD was supported by the Natural
https://doi.org/10.1017/S0031182023000677 Published online by Cambridge University Press
Environment Research Council (NERC). ST was supported by Wellcome [095171/Z/10/Z;
219532/Z/19/Z]. For the purpose of Open Access, the authors have applied a CC BY license to
any Author Accepted Manuscript version arising.

Data Availability Statement

Data available on Open Science Framework (OSF): https://doi.org/10.17605/OSF.IO/PYQSN

Code available on Open Science Framework (OSF): https://doi.org/10.17605/OSF.IO/PYQSN

Keywords

  • Vector-borne
  • Classic Metapopulation
  • Dispersal
  • Life-History
  • Connectivity
  • Distance-dependent
  • Host
  • Vector

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