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      Dataset of wing venation measurements for Apis mellifera caucasica , A. mellifera carnica and A. mellifera mellifera (Hymenoptera: Apidae), their hybrids and backcrosses

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          Abstract

          Background

          Wing venation is used as a tool in honeybee ( Apis mellifera L., 1758) subspecies identification. The presented dataset concerns nineteen landmarks located at honeybee worker's forewing vein junctions. Landmarks of Apis mellifera caucasica Pollmann, 1889, A. mellifera carnica Pollmann, 1879 and A. mellifera mellifera Linnaeus, 1758, their hybrids and backcrosses were measured. In total, data from 9590 wings were collected. The dataset could be used in geometric morphometric analysis, studies of degree of inheritance of morphological features and, after further development and supplementation with other local subspecies and hybrids, can contribute to in-depth evolutionary research on honeybees.

          New information

          Baseline dataset for wing venation of hybrids and backcrosses of A. mellifera carnica , A. mellifera caucasica and A. mellifera mellifera .

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          Wing Tracheation in Chrysopidae and Other Neuropterida (Insecta): A Resolution of the Confusion about Vein Fusion

          Laura Breitkreuz, Shaun Winterton, Michael Engel (2017)
          Article 0 comments Cited 30 times – based on 0 reviews     Review now
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            Evolution of wing shape in hornets: why is the wing venation efficient for species identification?

            C Dauphin-Villemant, M Baylac, A Perrard … (2014)
            Wing venation has long been used for insect identification. Lately, the characterization of venation shape using geometric morphometrics has further improved the potential of using the wing for insect identification. However, external factors inducing variation in wing shape could obscure specific differences, preventing accurate discrimination of species in heterogeneous samples. Here, we show that interspecific difference is the main source of wing shape variation within social wasps. We found that a naive clustering of wing shape data from taxonomically and geographically heterogeneous samples of workers returned groups congruent with species. We also confirmed that individuals can be reliably attributed to their genus, species and populations on the basis of their wing shape. Our results suggested that the shape variation reflects the evolutionary history with a potential influence of other factors such as body shape, climate and mimicry selective pressures. However, the high dimensionality of wing shape variation may have prevented absolute convergences between the different species. Wing venation shape is thus a taxonomically relevant marker combining the accuracy of quantitative characters with the specificity required for identification criteria. This marker may also highlight adaptive processes that could help understand the wing's influence on insect flight. © 2014 European Society For Evolutionary Biology. Journal of Evolutionary Biology © 2014 European Society For Evolutionary Biology.
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              Wing geometric morphometrics and microsatellite analysis provide similar discrimination of honey bee subspecies

              Andrzej Oleksa, Adam Tofilski (2015)
              Article 0 comments Cited 16 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Aleksandra Łoś:
                ORCID: https://orcid.org/0000-0002-3262-6185
                Journal
                Journal ID (nlm-ta): Biodivers Data J
                Journal ID (iso-abbrev): Biodivers Data J
                Journal ID (publisher-id): 1
                Journal ID (index): urn:lsid:arphahub.com:pub:F9B2E808-C883-5F47-B276-6D62129E4FF4
                Journal ID (aggregator): urn:lsid:zoobank.org:pub:245B00E9-BFE5-4B4F-B76E-15C30BA74C02
                Title: Biodiversity Data Journal
                Publisher: Pensoft Publishers
                ISSN (Print): 1314-2836
                ISSN (Electronic): 1314-2828
                Publication date Collection: 2020
                Publication date (Electronic): 05 August 2020
                Volume: 8
                Electronic Location Identifier: e53724
                Affiliations
                [1 ] Research Institute of Horticulture, Skierniewice, Poland Research Institute of Horticulture Skierniewice Poland
                [2 ] Institute of Nature Conservation, Polish Academy of Sciences, Kraków, Poland Institute of Nature Conservation, Polish Academy of Sciences Kraków Poland
                Author notes
                Corresponding author: Aleksandra Łoś ( los-aleksandra@ 123456o2.pl ).

                Academic editor: Laurence Packer

                Author information
                https://orcid.org/0000-0002-3262-6185
                Article
                Publisher ID: 53724 Publisher-manuscript ID: 13456
                DOI: 10.3897/BDJ.8.e53724
                PMC ID: 7423776
                PubMed ID: 32855601
                SO-VID: 7fbb32b4-0e03-472e-8941-33569536d534
                Copyright © Paweł Węgrzynowicz, Aleksandra Łoś
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 28 April 2020
                Date accepted : 24 July 2020
                Page count
                Figures: 0, Tables: 0, References: 16
                Funding
                The data was collected as part of the Research Institute of Horticulture's statutory studies.
                Categories
                Subject: Data Paper (Biosciences)
                Subject: Apidae
                Subject: Zoology & Animal Biology
                Subject: Identification key
                Subject: Phylogeny
                Subject: Taxonomy
                Subject: Europe

                Keywords: morphometric analysis,geometric morphometry,honeybee,subspecies
                Data availability:
                Keywords: morphometric analysis, geometric morphometry, honeybee, subspecies

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