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Identification of the entomological origin of European honey by high resolution melting analysis of a COI mini-barcode

datacite.subject.fosCiências Agrárias::Biotecnologia Agrária e Alimentar
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorHonrado, Mónica
dc.contributor.authorLopes, Ana
dc.contributor.authorPinto, M. Alice
dc.contributor.authorAmaral, Joana S.
dc.date.accessioned2025-08-12T08:16:03Z
dc.date.available2025-08-12T08:16:03Z
dc.date.issued2022
dc.description.abstractHoney is widely consumed worldwide and highly appreciated for its organoleptic, nutritional and health properties. Honey is also considered one of the foods most prone to be adulterated, either by admixing of honey with lower quality, by sugars’ addition, or by origin mislabelling, among other possible frauds. Recently, great attention has been paid to the development of techniques for authenticating honey through its entomological origin, which is also related to its geographical origin, since bees carrying mitochondrial DNA (mtDNA) from distinct ancestries can be found throughout Europe. Moreover, consumers are increasingly concerned with ethical and environmental issues, paying attention to issues such as the protection of biodiversity and the mode of production. For these reasons, the development of methodologies to authenticate the entomological origin of honey contributes not only to assure consumers rights and avoid unfair competition by the identification of frauds, but also to promote and valorise autochthonous honeybee subspecies. In this work, a one-step approach based on HRM analysis of a 150 bp fragment of the COI gene was developed to establish the entomological origin of honey by discriminating A, M and C mtDNA lineages and differentiating a SNP associated with a high frequency of C1 or C2 mitotypes in the Italian honey bee A. m. ligustica and the Carniolan honey bee A. m. carnica. The method showed high analytical performance and was able to successfully identify the entomological origin of honeys of known origin obtained from research apiaries/beekeepers. Therefore, it was applied to 44 commercial honeys from different countries. It confirmed the entomological authenticity of French PDO honeys that should be produced by the Corse ecotype A. m. mellifera. For the remaining honeys, the results were also in good agreement with the declared geographical origin. This method is also capable of indicating the mixture of honeys produced by honey bees of different lineages, although not allowing to identify the lineages or mitotypes in the mixture. This was the case of three honeys from Slovenia that did not cluster with C2 mitotype A. m. carnica as expected, suggesting the mixture of honeys produced by honeybees of different mitotypes.por
dc.description.sponsorshipThis work was financially supported by the project “AUTENT+ Desenvolvimento de abordagens inovadoras com vista à valorização e exploração do potencial de mercado do mel Português”, PAN 2020-2022, financed by IFAP, and by the Foundation for Science and Technology (FCT, Portugal) by national funds FCT/MCTES to CIMO (UIDB/00690/2020). The authors are grateful to Fenapícola and Capemel, to Dr. A. Nanetti (CREA-AA) and to A. Pajuelo (Pajuelo Consultores Apícolas S.L.) for supplying the Portuguese, Italian and Spanish honeys, respectively. D. Henriques is supported by the project BeeHappy (POCI-01- 0145-FEDER-029871) funded by FEDER, COMPETE 2020-POCI and Foundation for Science and Technology (FCT). A. R. Lopes, A. Quaresma and M. Honrado acknowledge the PhD scholarship funded by the FCT (SFRH/BD/143627/2019, 2020.05155.BD and 2021.08119.BD, respectively).
dc.identifier.citationHonrado, Mónica; Lopes, Ana; Pinto, M. Alice; Amaral, Joana S. (2022). Identification of the entomological origin of European honey by high resolution melting analysis of a COI mini-barcode. In ICBees- Internacional Congress on Bee Sciences. Online
dc.identifier.urihttp://hdl.handle.net/10198/34719
dc.language.isoeng
dc.peerreviewedno
dc.publisherICBees
dc.relationMountain Research Center
dc.relationHoneybees Apis mellifera L. in the Azores: developing innovative molecular tools and uncovering host-pathogen interactions in a pre- and post-Varroa destructor invasion
dc.relation2020.05155.BD
dc.relationDNA metabarcoding of pollen mixtures for environmental monitoring: qualitative and quantitative robustness based on mock mixtures and honeybee-collected samples from across Europe
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectHoney
dc.subjectauthenticity
dc.subjectHRM analysis
dc.subjectApis mellifera subspecies
dc.titleIdentification of the entomological origin of European honey by high resolution melting analysis of a COI mini-barcodepor
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleMountain Research Center
oaire.awardTitleHoneybees Apis mellifera L. in the Azores: developing innovative molecular tools and uncovering host-pathogen interactions in a pre- and post-Varroa destructor invasion
oaire.awardTitleDNA metabarcoding of pollen mixtures for environmental monitoring: qualitative and quantitative robustness based on mock mixtures and honeybee-collected samples from across Europe
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F143627%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//2021.08119.BD/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//2020.05155.BD/PT
oaire.citation.conferenceDate2022
oaire.citation.conferencePlaceonline
oaire.citation.endPage37
oaire.citation.startPage37
oaire.citation.titleICBees- Internacional Congress on Bee Sciences
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameHonrado
person.familyNameLopes
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person.familyNameAmaral
person.givenNameMónica
person.givenNameAna
person.givenNameM. Alice
person.givenNameJoana S.
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person.identifier.orcid0000-0002-1888-2262
person.identifier.orcid0000-0001-9663-8399
person.identifier.orcid0000-0002-3648-7303
person.identifier.scopus-author-id8085507800
project.funder.identifierhttp://doi.org/10.13039/501100001871
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project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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