Lorenzo Corsico, Thibault P M Costaz, Jolanda Tom, Martin Verbeek, Aria Samimi, Klaas van Rozen
{"title":"蜜蜂嗅觉调节的生态学方法:马铃薯Y病毒感染监测的挑战和潜力。","authors":"Lorenzo Corsico, Thibault P M Costaz, Jolanda Tom, Martin Verbeek, Aria Samimi, Klaas van Rozen","doi":"10.1242/bio.061680","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":9216,"journal":{"name":"Biology Open","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12486206/pdf/","citationCount":"0","resultStr":"{\"title\":\"An ecological approach to honeybee olfactory conditioning: challenges and potential for the monitoring of potato virus Y infection.\",\"authors\":\"Lorenzo Corsico, Thibault P M Costaz, Jolanda Tom, Martin Verbeek, Aria Samimi, Klaas van Rozen\",\"doi\":\"10.1242/bio.061680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":9216,\"journal\":{\"name\":\"Biology Open\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12486206/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biology Open\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1242/bio.061680\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biology Open","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1242/bio.061680","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOLOGY","Score":null,"Total":0}
An ecological approach to honeybee olfactory conditioning: challenges and potential for the monitoring of potato virus Y infection.
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.
期刊介绍:
Biology Open (BiO) is an online Open Access journal that publishes peer-reviewed original research across all aspects of the biological sciences. BiO aims to provide rapid publication for scientifically sound observations and valid conclusions, without a requirement for perceived impact.