Cargando…
A DNA Barcoding Approach to Characterize Pollen Collected by Honeybees
In the present study, we investigated DNA barcoding effectiveness to characterize honeybee pollen pellets, a food supplement largely used for human nutrition due to its therapeutic properties. We collected pollen pellets using modified beehives placed in three zones within an alpine protected area (...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4190116/ https://www.ncbi.nlm.nih.gov/pubmed/25296114 http://dx.doi.org/10.1371/journal.pone.0109363 |
_version_ | 1782338461099884544 |
---|---|
author | Galimberti, Andrea De Mattia, Fabrizio Bruni, Ilaria Scaccabarozzi, Daniela Sandionigi, Anna Barbuto, Michela Casiraghi, Maurizio Labra, Massimo |
author_facet | Galimberti, Andrea De Mattia, Fabrizio Bruni, Ilaria Scaccabarozzi, Daniela Sandionigi, Anna Barbuto, Michela Casiraghi, Maurizio Labra, Massimo |
author_sort | Galimberti, Andrea |
collection | PubMed |
description | In the present study, we investigated DNA barcoding effectiveness to characterize honeybee pollen pellets, a food supplement largely used for human nutrition due to its therapeutic properties. We collected pollen pellets using modified beehives placed in three zones within an alpine protected area (Grigna Settentrionale Regional Park, Italy). A DNA barcoding reference database, including rbcL and trnH-psbA sequences from 693 plant species (104 sequenced in this study) was assembled. The database was used to identify pollen collected from the hives. Fifty-two plant species were identified at the molecular level. Results suggested rbcL alone could not distinguish among congeneric plants; however, psbA-trnH identified most of the pollen samples at the species level. Substantial variability in pollen composition was observed between the highest elevation locality (Alpe Moconodeno), characterized by arid grasslands and a rocky substrate, and the other two sites (Cornisella and Ortanella) at lower altitudes. Pollen from Ortanella and Cornisella showed the presence of typical deciduous forest species; however in samples collected at Ortanella, pollen of the invasive Lonicera japonica, and the ornamental Pelargonium x hortorum were observed. Our results indicated pollen composition was largely influenced by floristic local biodiversity, plant phenology, and the presence of alien flowering species. Therefore, pollen molecular characterization based on DNA barcoding might serve useful to beekeepers in obtaining honeybee products with specific nutritional or therapeutic characteristics desired by food market demands. |
format | Online Article Text |
id | pubmed-4190116 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41901162014-10-10 A DNA Barcoding Approach to Characterize Pollen Collected by Honeybees Galimberti, Andrea De Mattia, Fabrizio Bruni, Ilaria Scaccabarozzi, Daniela Sandionigi, Anna Barbuto, Michela Casiraghi, Maurizio Labra, Massimo PLoS One Research Article In the present study, we investigated DNA barcoding effectiveness to characterize honeybee pollen pellets, a food supplement largely used for human nutrition due to its therapeutic properties. We collected pollen pellets using modified beehives placed in three zones within an alpine protected area (Grigna Settentrionale Regional Park, Italy). A DNA barcoding reference database, including rbcL and trnH-psbA sequences from 693 plant species (104 sequenced in this study) was assembled. The database was used to identify pollen collected from the hives. Fifty-two plant species were identified at the molecular level. Results suggested rbcL alone could not distinguish among congeneric plants; however, psbA-trnH identified most of the pollen samples at the species level. Substantial variability in pollen composition was observed between the highest elevation locality (Alpe Moconodeno), characterized by arid grasslands and a rocky substrate, and the other two sites (Cornisella and Ortanella) at lower altitudes. Pollen from Ortanella and Cornisella showed the presence of typical deciduous forest species; however in samples collected at Ortanella, pollen of the invasive Lonicera japonica, and the ornamental Pelargonium x hortorum were observed. Our results indicated pollen composition was largely influenced by floristic local biodiversity, plant phenology, and the presence of alien flowering species. Therefore, pollen molecular characterization based on DNA barcoding might serve useful to beekeepers in obtaining honeybee products with specific nutritional or therapeutic characteristics desired by food market demands. Public Library of Science 2014-10-08 /pmc/articles/PMC4190116/ /pubmed/25296114 http://dx.doi.org/10.1371/journal.pone.0109363 Text en © 2014 Galimberti et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Galimberti, Andrea De Mattia, Fabrizio Bruni, Ilaria Scaccabarozzi, Daniela Sandionigi, Anna Barbuto, Michela Casiraghi, Maurizio Labra, Massimo A DNA Barcoding Approach to Characterize Pollen Collected by Honeybees |
title | A DNA Barcoding Approach to Characterize Pollen Collected by Honeybees |
title_full | A DNA Barcoding Approach to Characterize Pollen Collected by Honeybees |
title_fullStr | A DNA Barcoding Approach to Characterize Pollen Collected by Honeybees |
title_full_unstemmed | A DNA Barcoding Approach to Characterize Pollen Collected by Honeybees |
title_short | A DNA Barcoding Approach to Characterize Pollen Collected by Honeybees |
title_sort | dna barcoding approach to characterize pollen collected by honeybees |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4190116/ https://www.ncbi.nlm.nih.gov/pubmed/25296114 http://dx.doi.org/10.1371/journal.pone.0109363 |
work_keys_str_mv | AT galimbertiandrea adnabarcodingapproachtocharacterizepollencollectedbyhoneybees AT demattiafabrizio adnabarcodingapproachtocharacterizepollencollectedbyhoneybees AT bruniilaria adnabarcodingapproachtocharacterizepollencollectedbyhoneybees AT scaccabarozzidaniela adnabarcodingapproachtocharacterizepollencollectedbyhoneybees AT sandionigianna adnabarcodingapproachtocharacterizepollencollectedbyhoneybees AT barbutomichela adnabarcodingapproachtocharacterizepollencollectedbyhoneybees AT casiraghimaurizio adnabarcodingapproachtocharacterizepollencollectedbyhoneybees AT labramassimo adnabarcodingapproachtocharacterizepollencollectedbyhoneybees AT galimbertiandrea dnabarcodingapproachtocharacterizepollencollectedbyhoneybees AT demattiafabrizio dnabarcodingapproachtocharacterizepollencollectedbyhoneybees AT bruniilaria dnabarcodingapproachtocharacterizepollencollectedbyhoneybees AT scaccabarozzidaniela dnabarcodingapproachtocharacterizepollencollectedbyhoneybees AT sandionigianna dnabarcodingapproachtocharacterizepollencollectedbyhoneybees AT barbutomichela dnabarcodingapproachtocharacterizepollencollectedbyhoneybees AT casiraghimaurizio dnabarcodingapproachtocharacterizepollencollectedbyhoneybees AT labramassimo dnabarcodingapproachtocharacterizepollencollectedbyhoneybees |