Baracchi David, Turillazzi Stefano, Chittka Lars
Université Paris 13, Sorbonne Paris Cité, Laboratoire d'Ethologie Expérimentale et Comparée, 93430, Villetaneuse, France.
Biological and Experimental Psychology, School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London, E1 4NS, UK.
Naturwissenschaften. 2016 Oct;103(9-10):80. doi: 10.1007/s00114-016-1406-8. Epub 2016 Sep 17.
Social insects excel in discriminating nestmates from intruders, typically relying on colony odours. Remarkably, some wasp species achieve such discrimination using visual information. However, while it is universally accepted that odours mediate a group level recognition, the ability to recognise colony members visually has been considered possible only via individual recognition by which wasps discriminate 'friends' and 'foes'. Using geometric morphometric analysis, which is a technique based on a rigorous statistical theory of shape allowing quantitative multivariate analyses on structure shapes, we first quantified facial marking variation of Liostenogaster flavolineata wasps. We then compared this facial variation with that of chemical profiles (generated by cuticular hydrocarbons) within and between colonies. Principal component analysis and discriminant analysis applied to sets of variables containing pure shape information showed that despite appreciable intra-colony variation, the faces of females belonging to the same colony resemble one another more than those of outsiders. This colony-specific variation in facial patterns was on a par with that observed for odours. While the occurrence of face discrimination at the colony level remains to be tested by behavioural experiments, overall our results suggest that, in this species, wasp faces display adequate information that might be potentially perceived and used by wasps for colony level recognition.
群居昆虫擅长区分巢友和入侵者,通常依靠群体气味。值得注意的是,一些黄蜂种类利用视觉信息来实现这种区分。然而,虽然气味介导群体层面的识别已被普遍接受,但通过视觉识别群体成员的能力一直被认为只有通过个体识别才有可能,即黄蜂区分“朋友”和“敌人”。我们使用几何形态测量分析,这是一种基于严格形状统计理论的技术,允许对结构形状进行定量多变量分析,首先量化了黄纹细腹胡蜂的面部斑纹变化。然后,我们将这种面部变化与群体内部和群体之间的化学特征(由表皮碳氢化合物产生)进行了比较。对包含纯形状信息的变量集进行主成分分析和判别分析表明,尽管群体内部存在明显差异,但同一群体的雌性黄蜂的面部彼此之间比与外来者的面部更相似。这种面部模式的群体特异性变化与气味方面观察到的变化相当。虽然群体层面的面部识别是否存在仍有待行为实验验证,但总体而言,我们的结果表明,在这个物种中,黄蜂的面部显示出足够的信息,可能被黄蜂潜在地感知并用于群体层面的识别。