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The microbiome's dynamics throughout swarming preparation in honey bees (Apis mellifera) Cover

The microbiome's dynamics throughout swarming preparation in honey bees (Apis mellifera)

Open Access
|Feb 2026

Abstract

The intricate relationship between hosts and bacterial symbionts was crucial for the evolution of multiple insect clades. Western honey bees (Apis mellifera) have distinctive and highly stable microbiomes in terms of bacterial taxonomic composition. However, despite the significant development of molecular techniques observed in recent decades, we are still far from understanding much about the dynamics of honey bees' microbiomes in terms of their strain diversity and quantities. The overall stable composition of their microbiome and complex behavior make honey bees a perfect model species for studying the gut-brain axis, where the gut microbiome can efficiently influence the host's behavior. Here, by implementing high-throughput amplicon sequencing of bacterial 16S rRNA V4 and V1-V2 hypervariable regions alongside a plasmid-based quantification approach, we aimed to describe the dynamics in young honey bee workers' microbiome composition and quantity throughout swarming preparation. Our results show no changes in microbial absolute abundances throughout the swarming preparation among young worker bees. The V4 and V1-V2 datasets congruently reconstructed microbial composition with some notable exceptions, and differential abundance analysis indicated that Bombella and Bartonella significantly changed over time during swarming preparation.

DOI: https://doi.org/10.2478/aoas-2025-0119 | Journal eISSN: 2300-8733 | Journal ISSN: 1642-3402
Language: English
Submitted on: Sep 8, 2025
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Accepted on: Oct 14, 2025
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Published on: Feb 16, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2026 Michał. R. Kolasa, Bartłomiej Molasy, Aneta Strachecka, Anna Michalik, published by National Research Institute of Animal Production
This work is licensed under the Creative Commons Attribution 3.0 License.

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