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Roxo I, Amaral A, Portugal A, Trovão J. A preliminary metabarcoding analysis of Portuguese raw honeys. Arch Microbiol 2023; 205:386. [PMID: 37982894 DOI: 10.1007/s00203-023-03725-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 10/26/2023] [Indexed: 11/21/2023]
Abstract
The microbial diversity in Portuguese raw honeys remains largely uncharacterized, constituting a serious knowledge gap in one of the country's most important resources. This work provides an initial investigation with amplicon metabarcoding analysis of two Lavandula spp. from different geographical regions of Portugal and one Eucalyptus spp. honey. The results obtained allowed to identify that each honey harbors diverse microbiomes with taxa that can potentially affect bee and human health, cause spoilage, and highlight bad bee-hive management practices. We verified that prokaryotes had a tendency towards a more marked core bacterial and a relative homogenous taxa distribution, and that the botanical origin of honey is likely to have a stronger impact on the fungal community. Thus, the results obtained in this work provide important information that can be helpful to improve this critical Portuguese product and industry.
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Affiliation(s)
- Ivo Roxo
- FitoLab-Laboratory for Phytopathology, Instituto Pedro Nunes, Rua Pedro Nunes, Quinta da Nora, 3030-199, Coimbra, Portugal.
- Polytechnic Institute of Coimbra, Coimbra Institute of Engineering, Rua Pedro Nunes, Quinta da Nora, 3030-199, Coimbra, Portugal.
| | - António Amaral
- Polytechnic Institute of Coimbra, Coimbra Institute of Engineering, Rua Pedro Nunes, Quinta da Nora, 3030-199, Coimbra, Portugal
- CEB - Centre of Biological Engineering, Universidade do Minho, Campus de Gualtar, 4710-057, Braga, Portugal
- LABBELS-Associate Laboratory, Centre of Biological Engineering, Universidade do Minho, Campus de Gualtar, 4710-057, Braga/Guimarães, Portugal
- Instituto de Investigação Aplicada, Laboratório SiSus, Rua Pedro Nunes, Quinta da Nora, 3030-199, Coimbra, Portugal
| | - António Portugal
- FitoLab-Laboratory for Phytopathology, Instituto Pedro Nunes, Rua Pedro Nunes, Quinta da Nora, 3030-199, Coimbra, Portugal
- Centre for Functional Ecology-Science for People & the Planet, TERRA Associate Laboratory, Department of Life Sciences, University of Coimbra, Calçada Martim de Freitas, 3000-456, Coimbra, Portugal
| | - João Trovão
- FitoLab-Laboratory for Phytopathology, Instituto Pedro Nunes, Rua Pedro Nunes, Quinta da Nora, 3030-199, Coimbra, Portugal.
- Centre for Functional Ecology-Science for People & the Planet, TERRA Associate Laboratory, Department of Life Sciences, University of Coimbra, Calçada Martim de Freitas, 3000-456, Coimbra, Portugal.
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Mohamadzade Namin S, Ghosh S, Jung C. Honey Quality Control: Review of Methodologies for Determining Entomological Origin. Molecules 2023; 28:molecules28104232. [PMID: 37241972 DOI: 10.3390/molecules28104232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 05/17/2023] [Accepted: 05/19/2023] [Indexed: 05/28/2023] Open
Abstract
Honey is a widely consumed natural product, and its entomological origin can significantly influence its market value. Therefore, traceability of the entomological origin of honey should also be considered in honey quality control protocols. Although several methods exist, such as physicochemical characterization and bioactivity profiling of honey of different entomological origins, the most promising three methods for entomological authentication of honey include protein-based identification, chemical profiling, and a DNA-based method. All of these methods can be applied for reliable identification of the entomological origin of honey. However, as the honey is a complex matrix, the inconsistency of the results obtained by these methods is a pragmatic challenge, and therefore, the use of each method in all the cases is questionable. Most of these methodologies can be used for authentication of newly harvested honey and it is worth understanding the possibility of using these methods for authentication of relatively old samples. Most probably, using DNA-based methods targeting small fragments of DNA can provide the best result in old samples, however, the species-specific primers targeting short fragments are limited and not available for all species. Therefore, using universal primers in combination with a DNA metabarcoding approach can be a good solution that requires further investigation. This present article describes the applications of different methods, their pros, and their cons to identify honey based on entomological origin.
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Affiliation(s)
- Saeed Mohamadzade Namin
- Agricultural Science and Technology Institute, Andong National University, Andong 36729, Republic of Korea
| | - Sampat Ghosh
- Agricultural Science and Technology Institute, Andong National University, Andong 36729, Republic of Korea
| | - Chuleui Jung
- Agricultural Science and Technology Institute, Andong National University, Andong 36729, Republic of Korea
- Department of Plant Medicals, Andong National University, Andong 36729, Republic of Korea
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A comment on the paper from Utzeri et al. (2022) “Entomological authentication of honey based on a DNA method that distinguishes Apis mellifera mitochondrial C mitotypes: Application to honey produced by A. m. ligustica and A. m. carnica, Food Control, Volume 121, March 2021, 107626”. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.109571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Fontanesi L, Taurisano V, Ribani A, Utzeri VJ. A reply to the Letter to the Editor of Moškrič et al. entitled “A comment on the paper from Utzeri et al. (2022) “Entomological authentication of honey based on a DNA method that distinguishes Apis mellifera mitochondrial C mitotypes: Application to honey produced by A. m. ligustica and A. m. carnica, Food control, Volume 121, March 2021, 107626”. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.109570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Bovo S, Utzeri VJ, Ribani A, Taurisano V, Schiavo G, Fontanesi L. A genotyping by sequencing approach can disclose Apis mellifera population genomic information contained in honey environmental DNA. Sci Rep 2022; 12:19541. [PMID: 36379985 PMCID: PMC9666642 DOI: 10.1038/s41598-022-24101-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 11/10/2022] [Indexed: 11/16/2022] Open
Abstract
Awareness has been raised over the last years on the genetic integrity of autochthonous honey bee subspecies. Genomic tools available in Apis mellifera can make it possible to measure this information by targeting individual honey bee DNA. Honey contains DNA traces from all organisms that contributed or were involved in its production steps, including the honey bees of the colony. In this study, we designed and tested a genotyping by sequencing (GBS) assay to analyse single nucleotide polymorphisms (SNPs) of A. mellifera nuclear genome using environmental DNA extracted from honey. A total of 121 SNPs (97 SNPs informative for honey bee subspecies identification and 24 SNPs associated with relevant traits of the colonies) were used in the assay to genotype honey DNA, which derives from thousands of honey bees. Results were integrated with information derived from previous studies and whole genome resequencing datasets. This GBS method is highly reliable in estimating honey bee SNP allele frequencies of the whole colony from which the honey derived. This assay can be used to identify the honey bee subspecies of the colony that produced the honey and, in turn, to authenticate the entomological origin of the honey.
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Affiliation(s)
- Samuele Bovo
- grid.6292.f0000 0004 1757 1758Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127 Bologna, Italy
| | - Valerio Joe Utzeri
- grid.6292.f0000 0004 1757 1758Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127 Bologna, Italy
| | - Anisa Ribani
- grid.6292.f0000 0004 1757 1758Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127 Bologna, Italy
| | - Valeria Taurisano
- grid.6292.f0000 0004 1757 1758Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127 Bologna, Italy
| | - Giuseppina Schiavo
- grid.6292.f0000 0004 1757 1758Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127 Bologna, Italy
| | - Luca Fontanesi
- grid.6292.f0000 0004 1757 1758Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Giuseppe Fanin 46, 40127 Bologna, Italy
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Honrado M, Lopes AR, Alice Pinto M, Amaral JS. A novel real-time PCR coupled with high resolution melting analysis as a simple and fast tool for the entomological authentication of honey by targeting Apis mellifera mitochondrial DNA. Food Res Int 2022; 161:111761. [DOI: 10.1016/j.foodres.2022.111761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/26/2022] [Accepted: 07/28/2022] [Indexed: 11/04/2022]
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