Authentication of the Botanical Origin of Honey: <i>In Silico</i> Assessment of Primers for DNA Metabarcoding

Honey is a valuable food product that is often mislabeled as to its botanical composition, affecting both trade transparency and consumer safety. DNA metabarcoding is a promising method for authenticity verification, although the results are affected by the choice of molecular markers and primer pairs. This study selected 43 primer pairs from the literature covering several genes (chloroplast <i>rbcL</i>, <i>matK</i>, and <i>trnL</i> and nuclear <i>ITS</i>) and length of <600 bp. Performance of these primers was <i>in silico</i> assessed for all Streptophyta and a subset of them representing the honeybee foraging plants included in the European list. The results showed that <i>rbcL</i> primers provided the highest taxonomic coverage, which increased significantly when combined with <i>ITS2</i>, especially for key families, such as Asteraceae, Fabaceae, Lamiaceae, and Rosaceae. These results provide valuable insights for the design and chemical setup of molecular steps in metabarcoding experiments applied to honey authenticity also supporting the standardization of official control protocols.

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Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2025-06-03
DOI
https://doi.org/10.1021/acs.jafc.5c02276
Citations
6
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
18.16
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article

Authentication of the Botanical Origin of Honey: In Silico Assessment of Primers for DNA Metabarcoding

Roberta Piredda, Anna Mottola, Lucilia Lorusso, Angela Di Pinto et al.
6 citations
Journal of Agricultural and Food Chemistry
Plant and animal studies
18.16
article

Authentication of the Botanical Origin of Honey: In Silico Assessment of Primers for DNA Metabarcoding

Roberta Piredda, Anna Mottola, Lucilia Lorusso, Angela Di Pinto, Lucia Ranieri, Chiara Intermite
article en
6 citations

Abstract

Honey is a valuable food product that is often mislabeled as to its botanical composition, affecting both trade transparency and consumer safety. DNA metabarcoding is a promising method for authenticity verification, although the results are affected by the choice of molecular markers and primer pairs. This study selected 43 primer pairs from the literature covering several genes (chloroplast <i>rbcL</i>, <i>matK</i>, and <i>trnL</i> and nuclear <i>ITS</i>) and length of <600 bp. Performance of these primers was <i>in silico</i> assessed for all Streptophyta and a subset of them representing the honeybee foraging plants included in the European list. The results showed that <i>rbcL</i> primers provided the highest taxonomic coverage, which increased significantly when combined with <i>ITS2</i>, especially for key families, such as Asteraceae, Fabaceae, Lamiaceae, and Rosaceae. These results provide valuable insights for the design and chemical setup of molecular steps in metabarcoding experiments applied to honey authenticity also supporting the standardization of official control protocols.

Journal of Agricultural and Food ChemistryVol. 73(24)
Stazione Zoologica Anton Dohrn (IT), University of Bari Aldo Moro (IT), University of Palermo (IT)
Zero hunger
Openalex Percentile: Top 1%
Plant and animal studies
18.16
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Authentication of the Botanical Origin of Honey: <i>In Silico</i> Assessment of Primers for DNA Metabarcoding — Roberta Piredda, Anna Mottola, et al. · Journal of Agricultural and Food Chemistry (2025) | TGRS Research Map | TGRS