Unhealthy brood odor scores predict pathogen loads of several important honey bee diseases

Pests and pathogens are a primary threat to honey bee (Apis mellifera) colonies worldwide. Selective breeding for honey bees resistant to these stressors represents a promising approach for mitigating their impacts on honey bee health. UBeeO is a novel hygiene-eliciting selection tool that has been used to identify honey bee colonies that are resistant to the parasitic mite Varroa destructor , and that are more likely to survive winter without beekeeper intervention. Here, we used three separate case studies to evaluate the effectiveness of the UBeeO assay in identifying colonies resist to disease. In three distinct geographic regions, we measured UBeeO scores along with the prevalence and load of key fungal and viral honey bee pathogens. We show that UBeeO can be used to identify colonies resistant to several other diseases, including the two fungal pathogens chalkbrood ( Ascosphaera apis ) and Vairimorpha spp. (previously Nosema ), and multiple viruses, all critically important to honey bee health and survival. Furthermore, we identify potential UBeeO resistance thresholds for each pathogen, demonstrating an inverse relationship between pathogen virulence and the minimum UBeeO score associated with resistance to that pathogen. These findings suggest that UBeeO-guided selection strategies have the potential to significantly improve honey bee breeding programs by facilitating identification of resilient and pathogen-resistant colonies. The broad geographic range of our study sites underscores the robustness and applicability of UBeeO across varying environmental contexts. Since honey bees provide essential pollination services in both natural and agricultural ecosystems, this work has major implications for environmental health, crop productivity, and food security on a global scale.

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Publication Details

Journal
Frontiers in Bee Science
Published
2025-04-02
DOI
https://doi.org/10.3389/frbee.2025.1509871
Citations
5
Primary Topic
Insect and Pesticide Research
Type
article
Field-Weighted Citation Impact
8.36

Funders

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article

Unhealthy brood odor scores predict pathogen loads of several important honey bee diseases

C. Jordan, P. Alexander Burnham, Samantha A. Alger, Matthew J. Miller et al.
5 citations
Frontiers in Bee Science
Insect and Pesticide Research
8.36
article

Unhealthy brood odor scores predict pathogen loads of several important honey bee diseases

C. Jordan, P. Alexander Burnham, Samantha A. Alger, Matthew J. Miller, Kaira Wagoner, Esmaeil Amiri
article en
5 citations

Abstract

Pests and pathogens are a primary threat to honey bee (Apis mellifera) colonies worldwide. Selective breeding for honey bees resistant to these stressors represents a promising approach for mitigating their impacts on honey bee health. UBeeO is a novel hygiene-eliciting selection tool that has been used to identify honey bee colonies that are resistant to the parasitic mite Varroa destructor , and that are more likely to survive winter without beekeeper intervention. Here, we used three separate case studies to evaluate the effectiveness of the UBeeO assay in identifying colonies resist to disease. In three distinct geographic regions, we measured UBeeO scores along with the prevalence and load of key fungal and viral honey bee pathogens. We show that UBeeO can be used to identify colonies resistant to several other diseases, including the two fungal pathogens chalkbrood ( Ascosphaera apis ) and Vairimorpha spp. (previously Nosema ), and multiple viruses, all critically important to honey bee health and survival. Furthermore, we identify potential UBeeO resistance thresholds for each pathogen, demonstrating an inverse relationship between pathogen virulence and the minimum UBeeO score associated with resistance to that pathogen. These findings suggest that UBeeO-guided selection strategies have the potential to significantly improve honey bee breeding programs by facilitating identification of resilient and pathogen-resistant colonies. The broad geographic range of our study sites underscores the robustness and applicability of UBeeO across varying environmental contexts. Since honey bees provide essential pollination services in both natural and agricultural ecosystems, this work has major implications for environmental health, crop productivity, and food security on a global scale.

Frontiers in Bee ScienceVol. 3
University of Vermont (US), University of North Carolina at Greensboro (US), Mississippi Delta Community College (US), Carrier (United States) (US), Mississippi State University (US)
U.S. Department of Agriculture, Northeast SARE, Project Apis m., National Institute of Food and Agriculture, Agricultural Research Service
Openalex Percentile: Top 3%
Insect and Pesticide Research
8.36
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