Temporal, spatial, and parasitic drivers of microbial variation in European honey bees
Abstract
Although the roles of host-associated microbiomes in animal health are increasingly recognised, the factors influencing their variation remain understudied. The relatively simple microbiome of honey bees is a relevant system to address this gap. In particular, the relationship between variations in microbiome composition and the ectoparasite Varroa destructor , the main threat to honey bee health worldwide, is poorly established. In this study, we used metagenomic and statistical analyses of 1442 European honey bee colonies to investigate the relationships between the honey bee microbiome, temporality, location, V. destructor load, and behavioural response to its infestation by the host. While season, year, and location were identified as the main drivers of microbiome variation, V. destructor load emerged as a significant factor associated with microbiome variation. Notably, we identify several pathogens and opportunists that correlated positively with V. destructor load, while the core symbiont Bombilactobacillus correlated negatively. This is compatible with a shift in the microbiome toward dysbiosis, which may be driven by or promote V. destructor parasitism. By contrast, we found only limited evidence of an association between the microbiome and resistance behaviours of the host against this parasite. While the study cannot establish causal relationships, we present the largest metagenomic analysis of honey bee microbiomes to date, providing robust, generalisable evidence about the factors driving variation in the microbiome composition of this ecologically and economically important pollinator. These findings may serve as additional markers in selective breeding programs targeting V. destructor resistance, which could ultimately improve honey bee health.
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BibTeX
@misc{rossier2026temporal,
title = {{Temporal, spatial, and parasitic drivers of microbial variation in European honey bees}},
author = {Victor Rossier and Thibault Leroy and Philipp Engel and Markus Neuditschko and Vincent Dietemann and Benjamin Dainat},
howpublished = {HAL},
year = {2026},
month = jul,
doi = {10.64898/2026.07.10.737668},
url = {https://hal.inrae.fr/hal-05792922v1},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Temporal, spatial, and parasitic drivers of microbial variation in European honey bees
AU - Victor Rossier
AU - Thibault Leroy
AU - Philipp Engel
AU - Markus Neuditschko
AU - Vincent Dietemann
AU - Benjamin Dainat
PY - 2026
DA - 2026/07/10
PB - HAL
DO - 10.64898/2026.07.10.737668
UR - https://hal.inrae.fr/hal-05792922v1
AB - Although the roles of host-associated microbiomes in animal health are increasingly recognised, the factors influencing their variation remain understudied. The relatively simple microbiome of honey bees is a relevant system to address this gap. In particular, the relationship between variations in microbiome composition and the ectoparasite Varroa destructor , the main threat to honey bee health worldwide, is poorly established. In this study, we used metagenomic and statistical analyses of 1442 European honey bee colonies to investigate the relationships between the honey bee microbiome, temporality, location, V. destructor load, and behavioural response to its infestation by the host. While season, year, and location were identified as the main drivers of microbiome variation, V. destructor load emerged as a significant factor associated with microbiome variation. Notably, we identify several pathogens and opportunists that correlated positively with V. destructor load, while the core symbiont Bombilactobacillus correlated negatively. This is compatible with a shift in the microbiome toward dysbiosis, which may be driven by or promote V. destructor parasitism. By contrast, we found only limited evidence of an association between the microbiome and resistance behaviours of the host against this parasite. While the study cannot establish causal relationships, we present the largest metagenomic analysis of honey bee microbiomes to date, providing robust, generalisable evidence about the factors driving variation in the microbiome composition of this ecologically and economically important pollinator. These findings may serve as additional markers in selective breeding programs targeting V. destructor resistance, which could ultimately improve honey bee health.
ER -