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Abstract
Although the environment is three-dimensional (3-D), humans are able to extract subtle information from two-dimensional (2-D) images, particularly in the domain of sex. However, whether animals with simpler nervous systems are capable of such information extraction remains to be demonstrated, as this ability would suggest a functional generalisation capacity. Here, we performed mate-copying experiments in Drosophila melanogaster using 2-D artificial stimuli. Mate copying occurs when naïve females observe the mating success of potential mates and use that social information to build their own mating preference. By replacing live demonstrations with (i) photos or (ii) simplified images of copulating pairs, we found that even crudely simplified images of sexual intercourse still elicit mate copying, suggesting that Drosophila is able to extract sex-related information even from a degraded image. This new method constitutes a powerful tool to further investigate mate copying in that species and sexual preferences in general.
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Details
; Monier, Magdalena 2 ; Villa, David 3 ; Danchin, Étienne 2
; Isabel, Guillaume 4
1 Esplanade de l’Université, Université Toulouse 1 Capitole and Institute for Advanced Study in Toulouse (IAST), Toulouse Cedex 06, France; Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, Laboratoire Évolution & Diversité Biologique (EDB UMR 5174), Toulouse, France (GRID:grid.15781.3a) (ISNI:0000 0001 0723 035X); Martin-Luther University Halle-Wittenberg, Department of Zoology, Animal Ecology, Halle (Saale), Germany (GRID:grid.9018.0) (ISNI:0000 0001 0679 2801)
2 Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, Laboratoire Évolution & Diversité Biologique (EDB UMR 5174), Toulouse, France (GRID:grid.15781.3a) (ISNI:0000 0001 0723 035X)
3 Université de Toulouse Midi-Pyrénées, Centre de Biologie Intégrative (CBI), CNRS UMR 5169, Toulouse, France (GRID:grid.508721.9)
4 Université de Toulouse Midi-Pyrénées, Centre de Recherches sur la Cognition Animale (CRCA), Centre de Biologie Intégrative (CBI), CNRS UMR 5169, Toulouse, France (GRID:grid.508721.9)




