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The spread of a wild plant pathogen is driven by the road network

Author

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  • Elina Numminen
  • Anna-Liisa Laine

Abstract

Spatial analyses of pathogen occurrence in their natural surroundings entail unique opportunities for assessing in vivo drivers of disease epidemiology. Such studies are however confronted by the complexity of the landscape driving epidemic spread and disease persistence. Since relevant information on how the landscape influences epidemiological dynamics is rarely available, simple spatial models of spread are often used. In the current study we demonstrate both how more complex transmission pathways could be incorpoted to epidemiological analyses and how this can offer novel insights into understanding disease spread across the landscape. Our study is focused on Podosphaera plantaginis, a powdery mildew pathogen that transmits from one host plant to another by wind-dispersed spores. Its host populations often reside next to roads and thus we hypothesize that the road network influences the epidemiology of P. plantaginis. To analyse the impact of roads on the transmission dynamics, we consider a spatial dataset on the presence-absence records on the pathogen collected from a fragmented landscape of host populations. Using both mechanistic transmission modeling and statistical modeling with road-network summary statistics as predictors, we conclude the evident role of the road network in the progression of the epidemics: a phenomena which is manifested both in the enhanced transmission along the roads and in infections typically occurring at the central hub locations of the road network. We also demonstrate how the road network affects the spread of the pathogen using simulations. Jointly our results highlight how human alteration of natural landscapes may increase disease spread.Author summary: Studying pathogen transmission dynamics within their natural environments can yield important new insights both on the known and unknown determinants of the real-world transmission process. In this study we analyse how a fungal plant pathogen occurs within a landscape, showing that the road network dictates where the pathogen occurs, not only by providing suitable habitat for the host plant, but also by enhancing transmissions along the roads. Mechanistic understanding of how and where the transmission is expected to occur can yield novel insights into the ecology of pathogens, and is essential for design of control strategies.

Suggested Citation

  • Elina Numminen & Anna-Liisa Laine, 2020. "The spread of a wild plant pathogen is driven by the road network," PLOS Computational Biology, Public Library of Science, vol. 16(3), pages 1-21, March.
    • Handle: RePEc:plo:pcbi00:1007703
    DOI: 10.1371/journal.pcbi.1007703
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    1. J. O. Lloyd-Smith & S. J. Schreiber & P. E. Kopp & W. M. Getz, 2005. "Superspreading and the effect of individual variation on disease emergence," Nature, Nature, vol. 438(7066), pages 355-359, November.
    2. Carpenter, Bob & Gelman, Andrew & Hoffman, Matthew D. & Lee, Daniel & Goodrich, Ben & Betancourt, Michael & Brubaker, Marcus & Guo, Jiqiang & Li, Peter & Riddell, Allen, 2017. "Stan: A Probabilistic Programming Language," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i01).
    3. Kuparinen, Anna & Markkanen, Tiina & Riikonen, Hermanni & Vesala, Timo, 2007. "Modeling air-mediated dispersal of spores, pollen and seeds in forested areas," Ecological Modelling, Elsevier, vol. 208(2), pages 177-188.
    4. Vittoria Colizza & Alain Barrat & Marc Barthelemy & Alain-Jacques Valleron & Alessandro Vespignani, 2007. "Modeling the Worldwide Spread of Pandemic Influenza: Baseline Case and Containment Interventions," PLOS Medicine, Public Library of Science, vol. 4(1), pages 1-16, January.
    5. Ilkka Hanski & Otso Ovaskainen, 2000. "The metapopulation capacity of a fragmented landscape," Nature, Nature, vol. 404(6779), pages 755-758, April.
    6. Hanna Susi & Benoit Barrès & Pedro F. Vale & Anna-Liisa Laine, 2015. "Co-infection alters population dynamics of infectious disease," Nature Communications, Nature, vol. 6(1), pages 1-8, May.
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    2. Fuqiang Dai & Hao Liu & Xia Zhang & Qing Li, 2021. "Exploring the Emerging Trends of Spatial Epidemiology: A Scientometric Analysis Based on CiteSpace," SAGE Open, , vol. 11(4), pages 21582440211, November.
    3. Edwin Borja & Miguel Guara-Requena & Miguel Hoyos & Pedro Terrero & Paola Rodulfo & Liseth Carvajal & Willian Camacho & Rafaela Mayorga & Carlos Molina & Marlon Caicedo, 2025. "Ecuadorian Littoral Musaceae Producers’ Typification Based on Their Production Systems, Agronomic Management, Biosecurity Measures, and Risk Level Against Foc TR4," Agriculture, MDPI, vol. 15(21), pages 1-35, October.

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