Honey bee (Apis mellifera) wing images: a tool for identification and conservation. (27th March 2023)

• Record Type: Journal Article
• Authors: Oleksa, Andrzej; Căuia, Eliza; Siceanu, Adrian; Puškadija, Zlatko; Kovačić, Marin; Pinto, M Alice; Rodrigues, Pedro João; Hatjina, Fani; Charistos, Leonidas; Bouga, Maria; Prešern, Janez; Kandemir, İrfan; Rašić, Slađan; Kusza, Szilvia; Tofilski, Adam
• Is Part Of: GigaScience. Volume 12(2023)
• Publication Date: 2023-03-27
• Subjects: honey bee -- Apis mellifera -- biodiversity -- conservation -- wing -- geometric morphometrics; Information storage and retrieval systems -- Research -- Periodicals; Biology -- Research -- Periodicals; Medical sciences -- Research -- Periodicals; Database management -- Periodicals; 570.285
• DOI: 10.1093/gigascience/giad019
• Languages: English
• ISSNs: 2047-217X

Abstract

Abstract: Background: The honey bee ( Apis mellifera ) is an ecologically and economically important species that provides pollination services to natural and agricultural systems. The biodiversity of the honey bee in parts of its native range is endangered by migratory beekeeping and commercial breeding. In consequence, some honey bee populations that are well adapted to the local environment are threatened with extinction. A crucial step for the protection of honey bee biodiversity is reliable differentiation between native and nonnative bees. One of the methods that can be used for this is the geometric morphometrics of wings. This method is fast, is low cost, and does not require expensive equipment. Therefore, it can be easily used by both scientists and beekeepers. However, wing geometric morphometrics is challenging due to the lack of reference data that can be reliably used for comparisons between different geographic regions. Findings: Here, we provide an unprecedented collection of 26, 481 honey bee wing images representing 1, 725 samples from 13 European countries. The wing images are accompanied by the coordinates of 19 landmarks and the geographic coordinates of the sampling locations. We present an R script that describes the workflow for analyzing the data and identifying an unknown sample. We compared the data with available reference samples for lineage and found general agreement with them. Conclusions: The extensive collection of wing images available on the Zenodo website can be used to identify the geographic origin of unknown samples and therefore assist in the monitoring and conservation of honey bee biodiversity in Europe.