Literature DB >> 27507464

Rapid identification of the botanical and entomological sources of honey using DNA metabarcoding.

Sean W J Prosser1, Paul D N Hebert2.   

Abstract

Honey is generated by various bee species from diverse plants, and because the value of different types of honey varies more than 100-fold, it is a target for fraud. This paper describes a protocol that employs DNA metabarcoding of three gene regions (ITS2, rbcLa, and COI) to provide an inexpensive tool to simultaneously deliver information on the botanical and entomological origins of honey. This method was used to examine seven varieties of honey: light, medium, dark, blended, pasteurized, creamed, and meliponine. Plant and insect sources were identified in five samples, but only the botanical or insect source could be identified in the other two. Two samples were found to be misrepresented. Although this method was generally successful in determining both plant and insect sources, honeys rich in polyphenolic compounds or subject to crystallization were recalcitrant to analysis, so further research is required to combat honey adulteration and mislabeling.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Food security; Fraud; Honey; Metabarcoding; Next generation sequencing

Mesh:

Substances:

Year:  2016        PMID: 27507464     DOI: 10.1016/j.foodchem.2016.07.077

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  26 in total

Review 1.  Honey authentication using rheological and physicochemical properties.

Authors:  Mircea Oroian; Sorina Ropciuc; Sergiu Paduret
Journal:  J Food Sci Technol       Date:  2018-09-12       Impact factor: 2.701

2.  Using herbarium-derived DNAs to assemble a large-scale DNA barcode library for the vascular plants of Canada.

Authors:  Maria L Kuzmina; Thomas W A Braukmann; Aron J Fazekas; Sean W Graham; Stephanie L Dewaard; Anuar Rodrigues; Bruce A Bennett; Timothy A Dickinson; Jeffery M Saarela; Paul M Catling; Steven G Newmaster; Diana M Percy; Erin Fenneman; Aurélien Lauron-Moreau; Bruce Ford; Lynn Gillespie; Ragupathy Subramanyam; Jeannette Whitton; Linda Jennings; Deborah Metsger; Connor P Warne; Allison Brown; Elizabeth Sears; Jeremy R Dewaard; Evgeny V Zakharov; Paul D N Hebert
Journal:  Appl Plant Sci       Date:  2017-12-22       Impact factor: 1.936

3.  Detection of Korean Native Honey and European Honey by Using Duplex Polymerase Chain Reaction and Immunochromatographic Assay.

Authors:  Chang-Kyu Kim; Deug-Chan Lee; Suk-Ho Choi
Journal:  Korean J Food Sci Anim Resour       Date:  2017-08-31       Impact factor: 2.622

Review 4.  Forensic genetics and genomics: Much more than just a human affair.

Authors:  Miguel Arenas; Filipe Pereira; Manuela Oliveira; Nadia Pinto; Alexandra M Lopes; Veronica Gomes; Angel Carracedo; Antonio Amorim
Journal:  PLoS Genet       Date:  2017-09-21       Impact factor: 5.917

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Authors:  Elisa Banchi; Claudio Gennaro Ametrano; David Stanković; Pierluigi Verardo; Olga Moretti; Francesca Gabrielli; Stefania Lazzarin; Maria Francesca Borney; Francesca Tassan; Mauro Tretiach; Alberto Pallavicini; Lucia Muggia
Journal:  PLoS One       Date:  2018-03-20       Impact factor: 3.240

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Authors:  Lorretha C Emenyeonu; Adam E Croxford; Mike J Wilkinson
Journal:  PLoS One       Date:  2018-08-01       Impact factor: 3.240

7.  Correction to: Meta-barcoding in combination with palynological inference is a potent diagnostic marker for honey floral composition.

Authors:  Rama Chandra Laha; Surajit De Mandal; Lalhmanghai Ralte; Laldinfeli Ralte; Nachimuthu Senthil Kumar; Guruswami Gurusubramanian; Ramalingam Satishkumar; Raja Mugasimangalam; Nagesh Aswathnarayana Kuravadi
Journal:  AMB Express       Date:  2017-10-11       Impact factor: 3.298

8.  Pollen DNA metabarcoding identifies regional provenance and high plant diversity in Australian honey.

Authors:  Liz Milla; Kale Sniderman; Rose Lines; Mahsa Mousavi-Derazmahalleh; Francisco Encinas-Viso
Journal:  Ecol Evol       Date:  2021-06-03       Impact factor: 2.912

9.  Pollination implications of the diverse diet of tropical nectar-feeding bats roosting in an urban cave.

Authors:  Voon-Ching Lim; John-James Wilson; Rosli Ramli; Subha Bhassu
Journal:  PeerJ       Date:  2018-03-26       Impact factor: 2.984

10.  Shotgun sequencing of honey DNA can describe honey bee derived environmental signatures and the honey bee hologenome complexity.

Authors:  Samuele Bovo; Valerio Joe Utzeri; Anisa Ribani; Riccardo Cabbri; Luca Fontanesi
Journal:  Sci Rep       Date:  2020-06-09       Impact factor: 4.379

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