Author: Fountainâ€Jones, Nicholas M.; Packer, Craig; Jacquot, Maude; Blanchet, F. Guillaume; Terio, Karen; Craft, Meggan E.
Title: Endemic infection can shape exposure to novel pathogens: Pathogen coâ€occurrence networks in the Serengeti lions Cord-id: vsl5k392 Document date: 2019_3_12
ID: vsl5k392
Snippet: Pathogens are embedded in a complex network of microparasites that can collectively or individually alter disease dynamics and outcomes. Endemic pathogens that infect an individual in the first years of life, for example, can either facilitate or compete with subsequent pathogens thereby exacerbating or ameliorating morbidity and mortality. Pathogen associations are ubiquitous but poorly understood, particularly in wild populations. We report here on 10 years of serological and molecular data in
Document: Pathogens are embedded in a complex network of microparasites that can collectively or individually alter disease dynamics and outcomes. Endemic pathogens that infect an individual in the first years of life, for example, can either facilitate or compete with subsequent pathogens thereby exacerbating or ameliorating morbidity and mortality. Pathogen associations are ubiquitous but poorly understood, particularly in wild populations. We report here on 10 years of serological and molecular data in African lions, leveraging comprehensive demographic and behavioural data to test if endemic pathogens shape subsequent infection by epidemic pathogens. We combine network and community ecology approaches to assess broad network structure and characterise associations between pathogens across spatial and temporal scales. We found significant nonâ€random structure in the lionâ€pathogen coâ€occurrence network and identified both positive and negative associations between endemic and epidemic pathogens. Our results provide novel insights on the complex associations underlying pathogen coâ€occurrence networks.
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