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Multimodal disease transmission as a limiting factor for the spatial extent of a host plant

Lawrence H. Uricchio, Emily L. Bruns, Michael Hood, Mike Boots, Janis Antonovics
doi: https://doi.org/10.1101/2022.05.11.491512
Lawrence H. Uricchio
1Department of Integrative Biology, University of California, Berkeley, CA 94720
2Department of Biology, Tufts University, Medford, MA 02155
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Emily L. Bruns
3Department of Biology, University of Maryland, College Park, MD 20742
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Michael Hood
4Biology Department, Amherst College, Amherst, MA 01002
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Mike Boots
1Department of Integrative Biology, University of California, Berkeley, CA 94720
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Janis Antonovics
5Department of Biology, University of Virginia, Charlottesville, VA 22904
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Abstract

Theoretical models suggest that infectious diseases could play a substantial role in determining species' ranges, but few studies have collected the empirical data required to test this hypothesis. Pathogens that sterilize their hosts or spread through frequency-dependent transmission could have especially strong effects on the limits of species' distributions because sterilized hosts can serve as long-lived disease reservoirs and frequency-dependent transmission mechanisms are effective even at very low population densities. We collected spatial disease prevalence data and population abundance data for alpine carnations infected by the sterilizing pathogen M. violaceum, a disease that is spread through both frequency-dependent (vector-borne) and density-dependent (aerial spore transmission) mechanisms. Our 13-year study reveals rapid declines in population abundance without a compensatory decrease in disease prevalence. We apply a stochastic, spatial model of disease spread that accommodates spatial habitat heterogeneity to investigate how the population dynamics depend on multimodal (frequency-dependent and density-dependent) transmission. We found that the observed rate of population decline can be readily explained by multimodal transmission, but is unlikely to be explained by either frequency-dependent or density-dependent mechanisms alone. Multimodal disease transmission rates high enough to explain the observed decline predicted that eventual local extinction of the host species is highly likely. Our results add to a growing body of literature showing how multimodal transmission can constrain species distributions in nature.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://github.com/uricchio/antherSmutDis

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted May 11, 2022.
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Multimodal disease transmission as a limiting factor for the spatial extent of a host plant
Lawrence H. Uricchio, Emily L. Bruns, Michael Hood, Mike Boots, Janis Antonovics
bioRxiv 2022.05.11.491512; doi: https://doi.org/10.1101/2022.05.11.491512
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Multimodal disease transmission as a limiting factor for the spatial extent of a host plant
Lawrence H. Uricchio, Emily L. Bruns, Michael Hood, Mike Boots, Janis Antonovics
bioRxiv 2022.05.11.491512; doi: https://doi.org/10.1101/2022.05.11.491512

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