Functional traits linked to pathogen prevalence in wild bee communities

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 su...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Laura L. Figueroa, Sally Compton, Heather Grab, Scott H. McArt
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/3f66b17abad94ee9b82118a626cbdd55
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:3f66b17abad94ee9b82118a626cbdd55
record_format dspace
spelling oai:doaj.org-article:3f66b17abad94ee9b82118a626cbdd552021-12-02T18:15:09ZFunctional traits linked to pathogen prevalence in wild bee communities10.1038/s41598-021-87103-32045-2322https://doaj.org/article/3f66b17abad94ee9b82118a626cbdd552021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87103-3https://doaj.org/toc/2045-2322Abstract 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.Laura L. FigueroaSally ComptonHeather GrabScott H. McArtNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Laura L. Figueroa
Sally Compton
Heather Grab
Scott H. McArt
Functional traits linked to pathogen prevalence in wild bee communities
description 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.
format article
author Laura L. Figueroa
Sally Compton
Heather Grab
Scott H. McArt
author_facet Laura L. Figueroa
Sally Compton
Heather Grab
Scott H. McArt
author_sort Laura L. Figueroa
title Functional traits linked to pathogen prevalence in wild bee communities
title_short Functional traits linked to pathogen prevalence in wild bee communities
title_full Functional traits linked to pathogen prevalence in wild bee communities
title_fullStr Functional traits linked to pathogen prevalence in wild bee communities
title_full_unstemmed Functional traits linked to pathogen prevalence in wild bee communities
title_sort functional traits linked to pathogen prevalence in wild bee communities
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/3f66b17abad94ee9b82118a626cbdd55
work_keys_str_mv AT lauralfigueroa functionaltraitslinkedtopathogenprevalenceinwildbeecommunities
AT sallycompton functionaltraitslinkedtopathogenprevalenceinwildbeecommunities
AT heathergrab functionaltraitslinkedtopathogenprevalenceinwildbeecommunities
AT scotthmcart functionaltraitslinkedtopathogenprevalenceinwildbeecommunities
_version_ 1718378388739063808