Viral eco-evolutionary dynamics of wild and domestic pollinators under global change (VOODOO)
- Funded by Swiss National Science Foundation (SNSF)
- Total publications:2 publications
Grant number: 186532
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Key facts
Disease
Disease XStart & end year
20202024Known Financial Commitments (USD)
$545,506.84Funder
Swiss National Science Foundation (SNSF)Principal Investigator
Prof Dr NeumannResearch Location
SwitzerlandLead Research Institution
University of Berne - BEResearch Priority Alignment
N/A
Research Category
Animal and environmental research and research on diseases vectors
Research Subcategory
Animal source and routes of transmission
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
Pollinators underpin ecosystem and human health, but face multiple threats from global change. Anthropogenic modification of landscape floral resources by land-use and alien species may magnify disease risk by producing nutritional stress in pollinators or re-organising their abundance and community interactions. Emerging infectious diseases (e.g. RNA viruses) often arise through high mutation rates and frequent novel pathogen shifts across species barriers. Close phylogenetic relatives of the original host are typically more susceptible, but viral adaptation can enable replication in novel hosts and following spillback altered virulence in the original host due to the genetic changes. However, why pathogens jump between some species, but not others, and the role of global change in driving host shifts remains a substantial knowledge gap. Recent evidence points to potential viral coinfection across a spectrum of flower-visiting insects; however, their roles in causing disease and the potential for emergent pandemic viruses that drive losses of both managed and wild pollinators is poorly understood. VOODOO aims to discover how the eco-epidemiological dynamics of plant-pollinator-virus interactions from individual to community levels are modulated by changes to the availability and quality of nutritional (floral) resources driven by global change pressures (conventional intensive agriculture, alien plant species, and urbanisation). We will quantify tripartite networks in different landscape contexts through ecological sampling, high-resolution molecular analysis (NGS) and network and eco-epidemiological models to reveal pollinator disease hubs and dynamics across organisms and habitats. We will couple this with laboratory selection experiments testing viral fitness and adaptation in known and cryptic host species under nutritional stress treatments calibrated to field-realistic levels. We will engage with diverse societal actors to integrate complementary knowledge on decision-making, risk management and implementation to ensure sustainable societal outcomes.