Evidence map›Paper›PMID 33637887›Full record

ArticleScientific reports2021

DNA traces the origin of honey by identifying plants, bacteria and fungi.

Helena Wirta, Nerea Abrego, Kirsten Miller, Tomas Roslin, Eero Vesterinen

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
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  8. Authentication of the Botanical Origin of Honey:Journal of agricultural and food chemistry · 2025
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  10. Review
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  18. Shotgun Metagenomics Reveals Minor Micro"International journal of molecular sciences · 2024
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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.

Helena WirtaFaculty of Agriculture and Forestry, University of Helsinki, P.O. Box 27, 00014, Helsinki, Finland. helena.wirta@helsinki.fi.
Nerea AbregoFaculty of Agriculture and Forestry, University of Helsinki, P.O. Box 27, 00014, Helsinki, Finland.
Kirsten MillerDepartment of Ecology, Swedish University of Agricultural Sciences, P.O. Box 7044, 750 07, Uppsala, Sweden.
Tomas RoslinFaculty of Agriculture and Forestry, University of Helsinki, P.O. Box 27, 00014, Helsinki, Finland.
Eero VesterinenDepartment of Ecology, Swedish University of Agricultural Sciences, P.O. Box 7044, 750 07, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The regional origin of a food product commonly affects its value. To this, DNA-based identification of tissue remains could offer fine resolution. For honey, this would allow the usage of not only pollen but all plant tissue, and also that of microbes in the product, for discerning the origin. Here we examined how plant, bacterial and fungal taxa identified by DNA metabarcoding and metagenomics differentiate between honey samples from three neighbouring countries. To establish how the taxonomic contents of honey reflect the country of origin, we used joint species distribution modelling. At the lowest taxonomic level by metabarcoding, with operational taxonomic units, the country of origin explained the majority of variation in the data (70-79%), with plant and fungal gene regions providing the clearest distinction between countries. At the taxonomic level of genera, plants provided the most separation between countries with both metabarcoding and metagenomics. The DNA-based methods distinguish the countries more than the morphological pollen identification and the removal of pollen has only a minor effect on taxonomic recovery by DNA. As we find good resolution among honeys from regions with similar biota, DNA-based methods hold great promise for resolving honey origins among more different regions.

Indexed as

MetagenomicsBacteriaDNADNA Barcoding, TaxonomicFungiHoneyPlantsDNA

Identifiers

PMID33637887
PMCPMC7910293

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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.