Honey bulk DNA metagenomic analysis to identify honey biological composition and monitor honey bee pathogens

Honey's DNA mixture originates from various organisms like plants, arthropods, fungi, bacteria, and viruses. Conventional methods like melissopalynological analysis and targeted honey DNA metabarcoding offer a limited view of honey's biological composition. We conducted a honey bulk DNA metagenomic analysis to characterize the honey's taxonomic composition and identify honey bee-related pathogens and parasites based on 266 Estonian and 103 foreign honey samples. 70.4% of the DNA in Estonian honey was derived from green plant families like Brassicaceae, Rosaceae, Fabaceae, and Pinaceae. Geographical distribution analysis revealed distinct botanical compositions between Estonian mainland and island samples. The bacterial family Lactobacillaceae was prevalent overall, reflecting the honey bee microbiota in honey. We detected 12 honey bee pathogens and parasites, including Paenibacillus larvae, Nosema ceranae, Varroa destructor, and Aethina tumida. In conclusion, the study underscores the potential of bulk DNA-based non-targeted metagenomic approaches for monitoring honey bee health, environment, and honey composition, origin, and authenticity.

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Publication Details

Journal
npj Science of Food
Published
2025-05-30
DOI
https://doi.org/10.1038/s41538-025-00464-1
Citations
5
Primary Topic
Insect and Pesticide Research
Type
article
Field-Weighted Citation Impact
8.36

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article

Honey bulk DNA metagenomic analysis to identify honey biological composition and monitor honey bee pathogens

Kaarel Krjutškov, Priit Paluoja, Hindrek Teder, Mihkel Vaher et al.
5 citations
npj Science of Food
Insect and Pesticide Research
8.36
article

Honey bulk DNA metagenomic analysis to identify honey biological composition and monitor honey bee pathogens

Kaarel Krjutškov, Priit Paluoja, Hindrek Teder, Mihkel Vaher, Andres Salumets, Kairi Raime
article en
5 citations

Abstract

Honey's DNA mixture originates from various organisms like plants, arthropods, fungi, bacteria, and viruses. Conventional methods like melissopalynological analysis and targeted honey DNA metabarcoding offer a limited view of honey's biological composition. We conducted a honey bulk DNA metagenomic analysis to characterize the honey's taxonomic composition and identify honey bee-related pathogens and parasites based on 266 Estonian and 103 foreign honey samples. 70.4% of the DNA in Estonian honey was derived from green plant families like Brassicaceae, Rosaceae, Fabaceae, and Pinaceae. Geographical distribution analysis revealed distinct botanical compositions between Estonian mainland and island samples. The bacterial family Lactobacillaceae was prevalent overall, reflecting the honey bee microbiota in honey. We detected 12 honey bee pathogens and parasites, including Paenibacillus larvae, Nosema ceranae, Varroa destructor, and Aethina tumida. In conclusion, the study underscores the potential of bulk DNA-based non-targeted metagenomic approaches for monitoring honey bee health, environment, and honey composition, origin, and authenticity.

npj Science of FoodVol. 9(1)
Karolinska University Hospital (SE), Karolinska Institutet (SE), Competence Centre on Health Technologies (Estonia) (EE), University of Tartu (EE)
European Agricultural Fund for Rural Development
Life below water
Openalex Percentile: Top 2%
Insect and Pesticide Research
8.36
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Honey bulk DNA metagenomic analysis to identify honey biological composition and monitor honey bee pathogens — Kaarel Krjutškov, Priit Paluoja, et al. · npj Science of Food (2025) | TGRS Research Map | TGRS