Evidence map›Paper›PMID 32518251›Full record

ArticleScientific reports2020

Shotgun sequencing of honey DNA can describe honey bee derived environmental signatures and the honey bee hologenome complexity.

Samuele Bovo, Valerio Joe Utzeri, Anisa Ribani, Riccardo Cabbri, Luca Fontanesi

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed.

  1. Review
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  4. The Evolution of Bees: Insights from 'Omic Studies.Genome biology and evolution · 2026
    Review
  5. Article
  6. Article
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  17. Review
  18. Shotgun Metagenomics Reveals Minor Micro"International journal of molecular sciences · 2024
    Article
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  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Samuele BovoDepartment of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127, Bologna, Italy.
Valerio Joe UtzeriDepartment of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127, Bologna, Italy.
Anisa RibaniDepartment of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127, Bologna, Italy.
Riccardo CabbriDepartment of Veterinary Medical Sciences, University of Bologna, Via Tolara di Sopra 50, 40064, Ozzano dell'Emilia, Bologna, Italy.
Luca FontanesiDepartment of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127, Bologna, Italy. luca.fontanesi@unibo.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Honey bees are large-scale monitoring tools due to their extensive environmental exploration. In their activities and from the hive ecosystem complex, they get in close contact with many organisms whose traces can be transferred into the honey, which can represent an interesting reservoir of environmental DNA (eDNA) signatures and information useful to analyse the honey bee hologenome complexity. In this study, we tested a deep shotgun sequencing approach of honey DNA coupled with a specifically adapted bioinformatic pipeline. This methodology was applied to a few honey samples pointing out DNA sequences from 191 organisms spanning different kingdoms or phyla (viruses, bacteria, plants, fungi, protozoans, arthropods, mammals). Bacteria included the largest number of species. These multi-kingdom signatures listed common hive and honey bee gut microorganisms, honey bee pathogens, parasites and pests, which resembled a complex interplay that might provide a general picture of the honey bee pathosphere. Based on the Apis mellifera filamentous virus genome diversity (the most abundant detected DNA source) we obtained information that could define the origin of the honey at the apiary level. Mining Apis mellifera sequences made it possible to identify the honey bee subspecies both at the mitochondrial and nuclear genome levels.

Indexed as

MetagenomicsAnimalsBacteriaBeesDNA, EnvironmentalGastrointestinal MicrobiomeGenome, BacterialGenome, FungalGenome, PlantGenome, ProtozoanGenome, ViralHoneySequence Analysis, DNADNA, Environmental

Identifiers

PMID32518251
PMCPMC7283317

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.