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Identification of botanical origin of bee-collected mixed pollen samples: a comparison between palynological and DNA metabarcoding methods

2020Conference object Open access
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dc.contributor.authorQuaresma, Andreia
dc.contributor.authorSteen, Jozef van der
dc.contributor.authorAmaral, Joana S.
dc.contributor.authorBiron, David G.
dc.contributor.authorBrodschneider, Robert
dc.contributor.authorBrusbardis, Valters
dc.contributor.authorCarreck, Norman L.
dc.contributor.authorFormato, Giovanni
dc.contributor.authorGratzer, Kristina
dc.contributor.authorHatjina, Fani
dc.contributor.authorKilpinem, Ole
dc.contributor.authorPietropaoli, Marco
dc.contributor.authorRufino, José
dc.contributor.authorVejsnaes, Flemming
dc.contributor.authorPinto, M. Alice
dc.date.accessioned2023-05-22T10:20:15Z
dc.date.available2023-05-22T10:20:15Z
dc.date.issued2020
dc.description.abstractIdentification of botanical origin of mixed pollen samples has several applications, including unraveling plant-pollinator interactions, determining botanical origin of honey, monitoring allergy-related airborne pollen sources, or even monitoring pesticide use in crops. These applications have typically been addressed using light microscopy, a costly approach that often provides low taxonomic resolution. However, with high-throughput sequencing (HTS) becoming increasingly affordable, DNA metabarcoding is emerging as a promising alternative to classical palynology. In addition to be time- and cost-effective for large sample sizes, metabarcoding has the potential to allow identification of pollen mixtures at the species level. However, before it can be widely employed in pollen analysis, the reliability of this molecular tool must be appraised. Herein, we compared the two approaches on 61 bee-collected pollen samples from eight European countries. The samples were homogenized and split into two sub-samples. One set of 61 sub-samples was analyzed by palynology experts from the “Institut für Bienenkunde”, Germany, and the other one was subjected to HTS, using ITS2 as the barcode, in the labs of CIMO and CIBIO. Comparisons of the relative abundances at the family level show no significant differences (P ≥ 0.1057, Wilcoxon signed-rank test) and high correlation values (0.2736 ≤ r ≤ 1.000, Pearson’s correlation) between the two approaches. The highest correlation values were observed for Italian samples (0.7245 ≤ r ≤ 0.9842; global r = 0.8958) and the lowest for Greek samples (0.0266 ≤ r ≤ 0.9703; global r = 0.5149). These results suggest that ITS2 metabarcoding offers a reliable alternative to classical palynology and this approach is now being employed in the European project INSIGNIA (https://www.insignia-bee.eu/), which is developing a standard protocol for using the honey bee as a tool for environmental monitoring.pt_PT
dc.description.sponsorshipEnvMetaGen, BioPolispt_PT
dc.description.sponsorshipThis study was funded by INSIGNIA “Environmental monitoring of pesticides use through honey bees” (SANTE/E4/SI2.788418-SI2.788452).
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationQuaresma, Andreia van der; Steen, Joseph; Amaral, Joana S.; Biron, David; Brodschneider, Robert; Brusbardis, Valters; Carreck, Norman; Formato, Giovanni; Gratzer, Kristina ;Hatjina, Fani; Kilpinem, Ole; Pietropaoli, Marco; Rufino, José ;Vejsnaes, Flemming; Pinto, M. Alice (2020). Identification of botanical origin of bee-collected mixed pollen samples: a comparison between palynological and DNA metabarcoding methods. In TIBE 2020 Abstract Book - Metabarcoding and Metagenomics.pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/28337
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherResearch Center in Biodiversity and Genetic Resources (CIBIO)pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleIdentification of botanical origin of bee-collected mixed pollen samples: a comparison between palynological and DNA metabarcoding methodspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceVirtualpt_PT
oaire.citation.endPage18pt_PT
oaire.citation.startPage17pt_PT
oaire.citation.titleTIBE 2020 Abstract Book - Metabarcoding and Metagenomicspt_PT
person.familyNameQuaresma
person.familyNameAmaral
person.familyNameRufino
person.familyNamePinto
person.givenNameAndreia
person.givenNameJoana S.
person.givenNameJosé
person.givenNameM. Alice
person.identifier.ciencia-id4F1A-4E4A-3F23
person.identifier.ciencia-id5319-7DE8-BEDA
person.identifier.ciencia-idC414-F47F-6323
person.identifier.ciencia-idF814-A1D0-8318
person.identifier.orcid0000-0002-8678-5800
person.identifier.orcid0000-0002-3648-7303
person.identifier.orcid0000-0002-1344-8264
person.identifier.orcid0000-0001-9663-8399
person.identifier.scopus-author-id57119742600
person.identifier.scopus-author-id55947199100
person.identifier.scopus-author-id8085507800
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication.latestForDiscovery42be2cf4-adc4-4e7f-ac60-7aab515b38cd

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