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通过电穿透图实时监测取食行为可快速揭示紫薇长斑蚜(半翅目:绵蚜科)对寄主植物的易感性。

Real-Time Feeding Behavior Monitoring by Electrical Penetration Graph Rapidly Reveals Host Plant Susceptibility to Crapemyrtle Bark Scale (Hemiptera: Eriococcidae).

作者信息

Wu Bin, Chun Elizabeth, Xie Runshi, Knox Gary W, Gu Mengmeng, Qin Hongmin

机构信息

Department of Horticultural Sciences, Texas A&M University, College Station, TX 77843, USA.

Department of Biology, Texas A&M University, College Station, TX 77843, USA.

出版信息

Insects. 2022 May 25;13(6):495. doi: 10.3390/insects13060495.

Abstract

Host range confirmation of invasive hemipterans relies on the evaluation of plant susceptibility though greenhouse or field trials, which are inefficient and time-consuming. When the green industry faces the fast-spreading threat of invasive pests such as crapemyrtle bark scale (), it is imperative to timely identify potential host plants and evaluate plant resistance/susceptibility to pest infestation. In this study, we developed an alternative technology to complement the conventional host confirmation methods. We used electrical penetration graph (EPG) based technology to monitor the stylet-tip position when it was probing in different plant tissues in real-time. The frequency and relative amplitude of insect EPG waveforms were extracted by an R programming-based software written to generate eleven EPG parameters for comparative analysis between plant species. The results demonstrated that the occurrences of phloem phase and xylem phase offered conclusive evidence for host plant evaluation. Furthermore, parameters including the percentage of insects capable of accessing phloem tissue, time duration spent on initiating phloem phase and ingesting phloem sap, provided insight into why host plant susceptibility differs among similar plant species. In summary, this study developed a novel real-time diagnostic tool for quick host confirmation, which laid the essential foundation for effective pest management.

摘要

入侵半翅目昆虫的寄主范围确认依赖于通过温室或田间试验对植物易感性的评估,而这些方法效率低下且耗时。当绿色产业面临诸如紫薇长斑蚜等入侵害虫迅速蔓延的威胁时,及时识别潜在寄主植物并评估植物对害虫侵袭的抗性/易感性至关重要。在本研究中,我们开发了一种替代技术来补充传统的寄主确认方法。我们使用基于刺吸电位图谱(EPG)的技术实时监测口针尖端在不同植物组织中探测时的位置。通过一个基于R编程的软件提取昆虫EPG波形的频率和相对振幅,该软件用于生成11个EPG参数,以便对不同植物物种进行比较分析。结果表明,韧皮部阶段和木质部阶段的出现为寄主植物评估提供了确凿证据。此外,包括能够进入韧皮部组织的昆虫百分比、开始韧皮部阶段和摄取韧皮部汁液所花费的时间等参数,揭示了相似植物物种间寄主植物易感性不同的原因。总之,本研究开发了一种用于快速确认寄主的新型实时诊断工具,为有效的害虫管理奠定了重要基础。

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