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Abstract / Description of output
The European honey bee (Apis mellifera) plays a major role in pollination and food production. Honey bee health is a complex product of the environment, host genetics and associated microbes (commensal, opportunistic and pathogenic). Improved understanding of these factors will help manage modern challenges to bee health. Here we used DNA sequencing to characterise the genomes and metagenomes of 19 honey bee colonies from across Britain. Low heterozygosity was observed in many Scottish colonies which had high similarity to the native dark bee. Colonies exhibited high diversity in composition and relative abundance of individual microbiome taxa. Most non-bee sequences were derived from known honey bee commensal bacteria or pathogens. However, DNA was also detected from additional fungal, protozoan and metazoan species. To classify cobionts lacking genomic information, we developed a novel network analysis approach for clustering orphan DNA contigs.
Our analyses shed light on microbial communities associated with honey bees and demonstrate the power of high-throughput, directed metagenomics for identifying novel biological threats in agroecosystems.
Our analyses shed light on microbial communities associated with honey bees and demonstrate the power of high-throughput, directed metagenomics for identifying novel biological threats in agroecosystems.
Original language | English |
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Article number | 4995(2018) |
Number of pages | 13 |
Journal | Nature Communications |
Volume | 9 |
Issue number | 1 |
DOIs | |
Publication status | Published - 26 Nov 2018 |
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Characterisation of the UK honey bee metagenome
Regan, T. (Creator), Freeman, T. (Creator) & Barnett, M. (Creator), Edinburgh DataShare, 15 Oct 2018
DOI: 10.7488/ds/2453, https://www.biorxiv.org/content/early/2018/05/18/293647
Dataset