Corsico Lorenzo, Costaz Thibault P M, Tom Jolanda, Verbeek Martin, Samimi Aria, van Rozen Klaas
InsectSense, Plus Ultra-II Building, Bronland 10, 6708 WH Wageningen, The Netherlands.
Wageningen University & Research, Business Unit Field Crops, Edelhertweg 1, 8219 PH Lelystad, The Netherlands.
Biol Open. 2025 Sep 15;14(9). doi: 10.1242/bio.061680.
Potato (Solanum tuberosum L.) is a global crop with a vital role in food security and economic significance in many countries. Potato virus Y (PVY) is one of its major viral threats, causing severe yield and quality losses when not controlled properly. PVY spreads primarily through aphids and infected tubers, and current management relies on insecticides and protective oils. Novel detection methods are needed to identify infected plants accurately at an early stage of plant development, thus reducing pesticide use. Trained honeybees (Apis mellifera L.) can detect specific volatiles emitted by plants infected by viruses like PVY. Using associative conditioning and the proboscis extension reflex, we tested the capacity of harnessed worker bees to distinguish PVY-infected and healthy potato leaves as a first step towards field application. As a whole, the results were impeded by low response levels and no significant result was obtained. However, we were able to show the capability of honeybees to learn and differentiate between two conditioned stimuli (healthy potato leaves versus clean air). Our findings therefore suggest that honeybees, as a globally accessible resource, have the potential to be used as a cost-effective solution in crop health monitoring, with further investigation and protocol refinement needed to achieve accurate PVY detection in agricultural settings.
马铃薯(Solanum tuberosum L.)是一种全球性作物,在许多国家的粮食安全和经济意义方面发挥着至关重要的作用。马铃薯Y病毒(PVY)是其主要的病毒威胁之一,若控制不当会导致严重的产量和质量损失。PVY主要通过蚜虫和受感染的块茎传播,目前的管理措施依赖于杀虫剂和防护油。需要新的检测方法来在植物发育的早期准确识别受感染的植株,从而减少农药的使用。经过训练的蜜蜂(Apis mellifera L.)能够检测出像PVY这样的病毒感染植物所释放的特定挥发性物质。利用联想性条件作用和喙伸反射,我们测试了被驯化的工蜂区分PVY感染和健康马铃薯叶片的能力,这是迈向田间应用的第一步。总体而言,结果受到低反应水平的阻碍,未获得显著结果。然而,我们能够证明蜜蜂有能力学习并区分两种条件刺激(健康马铃薯叶片与清洁空气)。因此,我们的研究结果表明,蜜蜂作为一种全球可获取的资源,有潜力作为作物健康监测中一种经济高效的解决方案,但需要进一步研究和完善方案,以在农业环境中实现对PVY的准确检测。