Wing geometric morphometrics of european honey bee populations

• Autor(a) principal: Costa, Maíra
• Data de Publicação: 2024
• Outros Autores: Gonçalves, Telma, Lopes, Ana, Vitrio, Nathalia, Albo, Alexandre, Blazyte-Cereskiene, Laima, Brodschneider, Robert, Brusbardis, Valters, Carreck, Norman L., Charistos, Leonidas, Chlebo, Robert, Coffey, Mary F., Danneels, Ellen, Graaf, Dirk C., Dobrescu, Constantin, Filipi, Janja, Gajda, Anna, Gratzer, Kristina, Hatjina, Fani, Johannesen, Jes, Kormendy-Racz, János, Kovačić, Marin, Kristiansen, Preben, Martikkala, Maritta, Martin-Hernandez, Raquel, Pietropaoli, Marco, Poirot, Benjamin, Radev, Zheko, Raudmets, Aivar, Douarre, Vincent, Roessink, Ivo, Škerl, Maja Ivana Smodiš, Titera, Dalibor, Steen, Jozef van der, Varnava, Andri, Vejsnæs, Flemming, Webster, Matthew T., Rodrigues, Pedro João, Henriques, Dora, Pinto, M. Alice
• Idioma: eng
• Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Texto Completo: http://hdl.handle.net/10198/30336
• topic: Wing geometric morphometrics; Apis mellifera; Conservation; Research Subject Categories::TECHNOLOGY::Chemical engineering::Food technology

Wing venation patterns have long been used to identify honey bee subspecies, singly or in combination with other morphological traits, using different approaches. Beekeepers have traditionally used identification methods that only require estimations of the Cubital Index, Hantel Index, and/or Discoidal Shift Angle. However, these measures do not consider all the information carried by wing patterns, and a more accurate approach is geometric morphometrics, which requires the annotation of 19 landmarks in the forewing vein junctions. While manual wing annotation is a time-consuming and error-prone endeavour, the recently developed software DeepWings© performs this task automatically, allowing a fast and relatively accurate identification of European honey bee subspecies, and is appropriate for large-scale projects. In this study, we analyse the patterns of forewings extracted from over 850 colonies sampled across 29 European countries. To that end, the right forewings of five workers per colony are photographed with a digital camera attached to a stereomicroscope. The images are then analysed using DeepWings©. Our main objective is to assess (i) how closely the colonies identified by DeepWings© match the endemic evolutionary lineages and subspecies; and (ii) the association between the identification produced by DeepWings© and that inferred from mitochondrial DNA. While geometric morphometrics does not replace molecular tools for the identification of colonies, it can provide a preliminary estimation of their genetic integrity.