ArticleScientific reports2021
Functional traits linked to pathogen prevalence in wild bee communities.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Shared pathogens among honey bees, wild bees and hoverflies in mountain ecosystems.Scientific reports · 2026Article
- Widespread distribution of honey bee-associated pathogens in managed and wild bees.Die Naturwissenschaften · 2026Article
- The trypanosomatid (Kinetoplastida: Trypanosomatidae) parasites in bees: A review on their environmental circulation, impacts and implications.Current research in insect science · 2025Review
- Article
- Ecological and social factors influence interspecific pathogens occurrence among bees.Scientific reports · 2024Article
- Development of a TaqMan qPCR assay for trypanosomatid multi-species detection and quantification in insects.Parasites & vectors · 2023Article
- Mass-flowering monoculture attracts bees, amplifying parasite prevalence.Proceedings. Biological sciences · 2021Article
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Authors and funding
4 authors.
Funding
Abstract
Reports of pollinator declines have prompted efforts to understand contributing factors and protect vulnerable species. While pathogens can be widespread in bee communities, less is known about factors shaping pathogen prevalence among species. Functional traits are often used to predict susceptibility to stressors, including pathogens, in other species-rich communities. Here, we evaluated the relationship between bee functional traits (body size, phenology, nesting location, sociality, and foraging choice) and prevalence of trypanosomes, neogregarines, and the microsporidian Nosema ceranae in wild bee communities. For the most abundant bee species in our system, Bombus impatiens, we also evaluated the relationship between intra-specific size variation and pathogen prevalence. A trait-based model fit the neogregarine prevalence data better than a taxa-based model, while the taxonomic model provided a better model fit for N. ceranae prevalence, and there was no marked difference between the models for trypanosome prevalence. We found that Augochlorella aurata was more likely to harbor trypanosomes than many other bee taxa. Similarly, we found that bigger bees and those with peak activity later in the season were less likely to harbor trypanosomes, though the effect of size was largely driven by A. aurata. We found no clear intra-specific size patterns for pathogen prevalence in B. impatiens. These results indicate that functional traits are not always better than taxonomic affinity in predicting pathogen prevalence, but can help to explain prevalence depending on the pathogen in species-rich bee communities.
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Registered trials
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