Publicação
Identification of honey bee populations from the Azores: insights from wing geometric morphometrics
| dc.contributor.author | Ferreira, Helena | |
| dc.contributor.author | Machado, Clycie | |
| dc.contributor.author | Costa, Claudinéia | |
| dc.contributor.author | Francoy, Tiago M. | |
| dc.contributor.author | Pinto, M. Alice | |
| dc.date.accessioned | 2019-02-26T11:05:16Z | |
| dc.date.available | 2019-02-26T11:05:16Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | The geometric morphometrics of the wings has been an important method for the identification and evaluation of honey bee diversity patterns around the world. Honey bee populations of the Macaronesian archipelagos of Canaries and Madeira have been intensively surveyed for diversity using a variety of genetic markers. In contrast, honey bee populations inhabiting the Azorean archipelago have been largely undersampled. To fill this gap, we sampled 473 colonies from across the Azores and assessed diversity patterns using a geometric morphometrics approach. A total of 5 forewings were collected per colony, mounted in a slide and photographed with a stereomicroscope. Additionally, the forewings representing 711 colonies of A. m. iberiensis, 11 A. m. ligustica, 15 A. m. carnica and 12 A. m. caucasia were used as reference samples. To extract shape information, 19 anatomical landmarks were plotted across the veins’ intersections in the wing structures of all individuals. The analyses of wing shape were performed in MorphoJ using the Procrustes superimposition method. Shape differences were investigated through multivariate statistical analysis and Mahalanobis and Procrustes distances were used to construct a dendrogram of the morphological proximity. Results revealed the power of landmark-based methods to discriminate different honey bee populations from the Azores, and also to distinguish them from the subspecies of the reference collection. The wing geometric morphometrics patterns showed that while, overall, populations from the Azores exhibited a closer relationship with A. m. iberiensis, some populations, especially those from the islands of Graciosa, but also Terceira and Pico tended to cluster closer to A. m. ligustica, A. m. carnica. Several non-mutually exclusive factors can contribute to the observed wing patterns such as the recent human-mediated introductions of subspecies from Eastern Europe, and the founder effect resulting from honey bee introductions in historical times. Moreover, the particular insular environment and the barrier to gene flow due to geographical isolation possibly shaped the diversity patterns currently observed in the Azores. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Ferreira, Helena; Machado, C.; Costa, C.; Francoy, Tiago M.; Pinto, M. Alice (2018). Identification of honey bee populations from the Azores: insights from wing geometric morphometrics. In EURBEE 2018: 8th European Conference of Apidology. Ghent, Belgium | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10198/18975 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Apis mellifera | pt_PT |
| dc.subject | Geometric morphometrics | pt_PT |
| dc.subject | Azores | pt_PT |
| dc.title | Identification of honey bee populations from the Azores: insights from wing geometric morphometrics | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Ghent, Belgium | pt_PT |
| oaire.citation.title | EURBEE 2018: 8th European Conference of Apidology | pt_PT |
| person.familyName | Pinto | |
| person.givenName | M. Alice | |
| person.identifier.ciencia-id | F814-A1D0-8318 | |
| person.identifier.orcid | 0000-0001-9663-8399 | |
| person.identifier.scopus-author-id | 8085507800 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | 0667fe04-7078-483d-9198-56d167b19bc5 | |
| relation.isAuthorOfPublication.latestForDiscovery | 0667fe04-7078-483d-9198-56d167b19bc5 |