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Honey bulk DNA metagenomic analysis to identify honey biological composition and monitor honey bee pathogens
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Abstract
Honey’s DNA mixture originates from various organismal groups 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
and
Nosema ceranae
. In conclusion, the study underscores the potential of bulk DNA-based and non-targeted metagenomic approaches for monitoring honey bee health, environmental quality, and honey composition, origin, and authenticity.
Title: Honey bulk DNA metagenomic analysis to identify honey biological composition and monitor honey bee pathogens
Description:
Abstract
Honey’s DNA mixture originates from various organismal groups 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
and
Nosema ceranae
.
In conclusion, the study underscores the potential of bulk DNA-based and non-targeted metagenomic approaches for monitoring honey bee health, environmental quality, and honey composition, origin, and authenticity.
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Honey bulk DNA metagenomic analysis to identify honey biological composition and monitor honey bee pathogens
Honey bulk DNA metagenomic analysis to identify honey biological composition and monitor honey bee pathogens
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Honey’s DNA mixture originates from various organisms like plants, arthropods, fungi, bacteria, and viruses. Conventional methods li...
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