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Towards DNA-Based Methods Analysis for Honey: An Update. Molecules 2023; 28:molecules28052106. [PMID: 36903351 PMCID: PMC10004515 DOI: 10.3390/molecules28052106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 02/15/2023] [Accepted: 02/17/2023] [Indexed: 03/06/2023] Open
Abstract
Honey is a natural product widely consumed all over the world due to its relationship with healthy benefits. Additionally, environmental and ethical issues have a higher weight in the consumer's choice to buy honey as a natural product. Following the high demand of this product, several approaches have been suggested and developed aiming at the assessment of honey's quality and authenticity. Target approaches, such as pollen analysis, phenolic compounds, sugars, volatile compounds, organic acids, proteins, amino acids, minerals, and trace elements, showed an efficacy, particularly concerning the honey origin. However, a special highlight is given to DNA markers, due to their useful applicability in environmental and biodiversity studies, besides the geographical, botanical, and entomological origins. Different DNA target genes were already explored for addressing diverse sources of honey DNA, with DNA metabarcoding attaining a relevant importance. This review aims to describe the latest advances on DNA-based methods applied in honey related studies, identifying the research needs for the development of new and additional required methodologies, and to select the most adequate tools for future research projects.
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Identification of insect sources of honey in China based on real-time fluorescent LAMP technology. J Food Compost Anal 2023. [DOI: 10.1016/j.jfca.2022.104875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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3
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Wu Q, Chen Q, Yan C, Xu J, Chen Z, Yao L, Lu J, Yao B, Chen W. Accurate and Rapid Genetic Tracing the Authenticity of Floral Originated Honey with the Molecular Lateral Flow Strip. BIOSENSORS 2022; 12:971. [PMID: 36354480 PMCID: PMC9688305 DOI: 10.3390/bios12110971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 10/14/2022] [Accepted: 10/24/2022] [Indexed: 06/16/2023]
Abstract
Honey is a natural product and is heavily consumed for its well-known nutritional functions. Honeys with different floral origins possess distinctive flavors, tastes, functions and economic values. It is vital to establish an effective strategy for identifying the authenticity of honey. The intrinsic genetic materials of pollen were adopted as target analytes for the effective identification of honey with floral origins. With an optimized protocol for the rapid gene extraction from honey, target genetic templates were amplified on-site with a portable device. Conveniently, all on-site amplified functional products were easily judged by the designed lateral flow strip (LFS), which was defined as the molecular LFS in this research. Additionally, the entire on-site genetic authentication of honey was completed in less than 2 h by visual observation. Commercial honey products have been successfully identified with excellent accuracy. This low-cost, high-efficiency and easy-operational strategy will greatly benefit the quality guarantee of foods with specific functions and geographical markers.
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Affiliation(s)
- Qian Wu
- Engineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China
| | - Qi Chen
- Engineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China
| | - Chao Yan
- Engineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China
- Product Quality Supervision and Inspection Research Institute of Anhui Province, Hefei 230009, China
| | - Jianguo Xu
- Engineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China
| | - Zhaoran Chen
- Product Quality Supervision and Inspection Research Institute of Anhui Province, Hefei 230009, China
| | - Li Yao
- Engineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China
| | - Jianfeng Lu
- Engineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China
| | - Bangben Yao
- Product Quality Supervision and Inspection Research Institute of Anhui Province, Hefei 230009, China
| | - Wei Chen
- Engineering Research Center of Bio-Process, MOE, School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China
- Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230009, China
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Utzeri VJ, Ribani A, Fontanesi L. Authentication of honey based on a DNA method to differentiate Apis mellifera subspecies: Application to Sicilian honey bee ( A. m. siciliana ) and Iberian honey bee ( A. m. iberiensis ) honeys. Food Control 2018. [DOI: 10.1016/j.foodcont.2018.04.010] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Entomological signatures in honey: an environmental DNA metabarcoding approach can disclose information on plant-sucking insects in agricultural and forest landscapes. Sci Rep 2018; 8:9996. [PMID: 29968727 PMCID: PMC6030050 DOI: 10.1038/s41598-018-27933-w] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Accepted: 06/11/2018] [Indexed: 11/08/2022] Open
Abstract
Honeydew produced from the excretion of plant-sucking insects (order Hemiptera) is a carbohydrate-rich material that is foraged by honey bees to integrate their diets. In this study, we used DNA extracted from honey as a source of environmental DNA to disclose its entomological signature determined by honeydew producing Hemiptera that was recovered not only from honeydew honey but also from blossom honey. We designed PCR primers that amplified a fragment of mitochondrial cytochrome c oxidase subunit 1 (COI) gene of Hemiptera species using DNA isolated from unifloral, polyfloral and honeydew honeys. Ion Torrent next generation sequencing metabarcoding data analysis assigned Hemiptera species using a customized bioinformatic pipeline. The forest honeydew honeys reported the presence of high abundance of Cinara pectinatae DNA, confirming their silver fir forest origin. In all other honeys, most of the sequenced reads were from the planthopper Metcalfa pruinosa for which it was possible to evaluate the frequency of different mitotypes. Aphids of other species were identified from honeys of different geographical and botanical origins. This unique entomological signature derived by environmental DNA contained in honey opens new applications for honey authentication and to disclose and monitor the ecology of plant-sucking insects in agricultural and forest landscapes.
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Kek SP, Chin NL, Tan SW, Yusof YA, Chua LS. Comparison of DNA extraction methods for entomological origin identification of honey using simple additive weighting method. Int J Food Sci Technol 2018. [DOI: 10.1111/ijfs.13840] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Siok Peng Kek
- Department of Process and Food Engineering; Faculty of Engineering; Universiti Putra Malaysia; 43400 Serdang Selangor Malaysia
| | - Nyuk Ling Chin
- Department of Process and Food Engineering; Faculty of Engineering; Universiti Putra Malaysia; 43400 Serdang Selangor Malaysia
| | - Sheau Wei Tan
- Laboratory of Vaccines and Immunotherapeutics; Institute of Bioscience; Universiti Putra Malaysia; 43400 Serdang Selangor Malaysia
| | - Yus Aniza Yusof
- Department of Process and Food Engineering; Faculty of Engineering; Universiti Putra Malaysia; 43400 Serdang Selangor Malaysia
| | - Lee Suan Chua
- Metabolites Profiling Laboratory; Institute of Bioproduct Development; Universiti Teknologi Malaysia; 81310 Skudai, Johor Bahru Johor Malaysia
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Utzeri VJ, Ribani A, Schiavo G, Bertolini F, Bovo S, Fontanesi L. Application of next generation semiconductor based sequencing to detect the botanical composition of monofloral, polyfloral and honeydew honey. Food Control 2018. [DOI: 10.1016/j.foodcont.2017.11.033] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Soares S, Amaral JS, Oliveira MBP, Mafra I. A Comprehensive Review on the Main Honey Authentication Issues: Production and Origin. Compr Rev Food Sci Food Saf 2017; 16:1072-1100. [DOI: 10.1111/1541-4337.12278] [Citation(s) in RCA: 142] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 05/18/2017] [Accepted: 05/27/2017] [Indexed: 11/30/2022]
Affiliation(s)
- Sónia Soares
- REQUIMTE-LAQV, Faculdade de Farmácia; Univ. do Porto; Porto Portugal
| | - Joana S. Amaral
- REQUIMTE-LAQV, Faculdade de Farmácia; Univ. do Porto; Porto Portugal
- Escola Superior de Tecnologia e Gestão; Inst. Politécnico de Bragança; Bragança Portugal
| | | | - Isabel Mafra
- REQUIMTE-LAQV, Faculdade de Farmácia; Univ. do Porto; Porto Portugal
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Evaluation of baker's yeast in honey using a real-time PCR assay. Food Microbiol 2016; 62:282-288. [PMID: 27889160 DOI: 10.1016/j.fm.2016.10.025] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Revised: 08/30/2016] [Accepted: 10/13/2016] [Indexed: 11/24/2022]
Abstract
Occasionally, melissopalynological analysis reveals the presence of baker's yeast (Saccharomyces cerevisiae) in honey sediments. A field experiment reproducing a common spring bee feeding practice, using sugar paste containing baker's yeast, was performed to understand how S. cerevisiae are introduced into honey. Apart from classical microscopy, a real-time quantitative PCR (qPCR) system specific for S. cerevisiae was established for quantification of S. cerevisiae in honeys. Results showed that S. cerevisiae cells are stored in the honey of the brood combs and are also transferred into honey in the supers. The concentrations of S. cerevisiae were highest in honey of the brood frames immediately after the feeding and decreased over time to low concentrations at the end of the year. A high content of S. cerevisiae cells were also found in the honey from supers of the spring harvest. Observed S. cerevisiae cells were not able to multiply in a high-sugar environment, such as honey, and their viability decreased rapidly after addition to the honey. The screening of 200 Swiss honeys revealed the presence of S. cerevisiae in 4.5% of the samples, as determined by microscopy and qPCR. Finally, the method described here may indicate an unwanted sucrose addition to honey through bee-feeding.
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In-house Validation of a DNA Extraction Protocol from Honey and Bee Pollen and Analysis in Fast Real-Time PCR of Commercial Honey Samples Using a Knowledge-Based Approach. FOOD ANAL METHOD 2016. [DOI: 10.1007/s12161-016-0539-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Shen P, Geng F, Yu Y, Zhang Y, Wang Z, Li Z, Zhang W, Shu C, Zhang Y, Tan J. A rapid loop-mediated isothermal amplification method for detection of the modified GM cry1A gene in transgenic insect-resistant cotton and rice. Food Control 2016. [DOI: 10.1016/j.foodcont.2015.10.035] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Hawkins J, de Vere N, Griffith A, Ford CR, Allainguillaume J, Hegarty MJ, Baillie L, Adams-Groom B. Using DNA Metabarcoding to Identify the Floral Composition of Honey: A New Tool for Investigating Honey Bee Foraging Preferences. PLoS One 2015; 10:e0134735. [PMID: 26308362 PMCID: PMC4550469 DOI: 10.1371/journal.pone.0134735] [Citation(s) in RCA: 144] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2015] [Accepted: 07/13/2015] [Indexed: 11/18/2022] Open
Abstract
Identifying the floral composition of honey provides a method for investigating the plants that honey bees visit. We compared melissopalynology, where pollen grains retrieved from honey are identified morphologically, with a DNA metabarcoding approach using the rbcL DNA barcode marker and 454-pyrosequencing. We compared nine honeys supplied by beekeepers in the UK. DNA metabarcoding and melissopalynology were able to detect the most abundant floral components of honey. There was 92% correspondence for the plant taxa that had an abundance of over 20%. However, the level of similarity when all taxa were compared was lower, ranging from 22-45%, and there was little correspondence between the relative abundance of taxa found using the two techniques. DNA metabarcoding provided much greater repeatability, with a 64% taxa match compared to 28% with melissopalynology. DNA metabarcoding has the advantage over melissopalynology in that it does not require a high level of taxonomic expertise, a greater sample size can be screened and it provides greater resolution for some plant families. However, it does not provide a quantitative approach and pollen present in low levels are less likely to be detected. We investigated the plants that were frequently used by honey bees by examining the results obtained from both techniques. Plants with a broad taxonomic range were detected, covering 46 families and 25 orders, but a relatively small number of plants were consistently seen across multiple honey samples. Frequently found herbaceous species were Rubus fruticosus, Filipendula ulmaria, Taraxacum officinale, Trifolium spp., Brassica spp. and the non-native, invasive, Impatiens glandulifera. Tree pollen was frequently seen belonging to Castanea sativa, Crataegus monogyna and species of Malus, Salix and Quercus. We conclude that although honey bees are considered to be supergeneralists in their foraging choices, there are certain key species or plant groups that are particularly important in the honey bees environment. The reasons for this require further investigation in order to better understand honey bee nutritional requirements. DNA metabarcoding can be easily and widely used to investigate floral visitation in honey bees and can be adapted for use with other insects. It provides a starting point for investigating how we can better provide for the insects that we rely upon for pollination.
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Affiliation(s)
- Jennifer Hawkins
- National Botanic Garden of Wales, Llanarthne, Carmarthenshire, United Kingdom
- School of Pharmacy and Pharmaceutical Sciences, Cardiff University, Cardiff, United Kingdom
| | - Natasha de Vere
- National Botanic Garden of Wales, Llanarthne, Carmarthenshire, United Kingdom
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Adelaide Griffith
- National Botanic Garden of Wales, Llanarthne, Carmarthenshire, United Kingdom
| | - Col R. Ford
- National Botanic Garden of Wales, Llanarthne, Carmarthenshire, United Kingdom
| | - Joel Allainguillaume
- Department of Biological, Biomedical and Analytical Sciences, University of the West of England, Bristol, United Kingdom
| | - Matthew J. Hegarty
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom
| | - Les Baillie
- School of Pharmacy and Pharmaceutical Sciences, Cardiff University, Cardiff, United Kingdom
| | - Beverley Adams-Groom
- National Pollen and Aerobiology Research Unit, University of Worcester, Worcester, United Kingdom
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Soares S, Amaral JS, Oliveira MBP, Mafra I. Improving DNA isolation from honey for the botanical origin identification. Food Control 2015. [DOI: 10.1016/j.foodcont.2014.02.035] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Huang L, Chen Y, Wang Y, Pan J, Tong Y. Isolation of DNA from genetically modified oils by fast protein liquid chromatography. Int J Food Sci Technol 2010. [DOI: 10.1111/j.1365-2621.2010.02295.x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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15
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Holst-Jensen A. Testing for genetically modified organisms (GMOs): Past, present and future perspectives. Biotechnol Adv 2009; 27:1071-1082. [PMID: 19477261 DOI: 10.1016/j.biotechadv.2009.05.025] [Citation(s) in RCA: 120] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
This paper presents an overview of GMO testing methodologies and how these have evolved and may evolve in the next decade. Challenges and limitations for the application of the test methods as well as to the interpretation of results produced with the methods are highlighted and discussed, bearing in mind the various interests and competences of the involved stakeholders. To better understand the suitability and limitations of detection methodologies the evolution of transformation processes for creation of GMOs is briefly reviewed.
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Affiliation(s)
- Arne Holst-Jensen
- Department of Feed and Food Safety, National Veterinary Institute, Ullevaalsveien 68, P.O. Box 750 Sentrum, 0106 Oslo, Norway.
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