Molecular Interaction Ecology, Institute for Water and Wetland Research (IWWR), Radboud University, PO Box 9010, 6500, GL Nijmegen, the Netherlands.
Institute of Biology, University of Neuchâtel, Neuchâtel, 2000, Switzerland.
New Phytol. 2018 Nov;220(3):726-738. doi: 10.1111/nph.14428. Epub 2017 Jan 30.
Herbivore-induced plant volatiles (HIPVs) serve as specific cues to higher trophic levels. Novel, exotic herbivores entering native foodwebs may disrupt the infochemical network as a result of changes in HIPV profiles. Here, we analysed HIPV blends of native Brassica rapa plants infested with one of 10 herbivore species with different coexistence histories, diet breadths and feeding modes. Partial least squares (PLS) models were fitted to assess whether HIPV blends emitted by Dutch B. rapa differ between native and exotic herbivores, between specialists and generalists, and between piercing-sucking and chewing herbivores. These models were used to predict the status of two additional herbivores. We found that HIPV blends predicted the evolutionary history, diet breadth and feeding mode of the herbivore with an accuracy of 80% or higher. Based on the HIPVs, the PLS models reliably predicted that Trichoplusia ni and Spodoptera exigua are perceived as exotic, leaf-chewing generalists by Dutch B. rapa plants. These results indicate that there are consistent and predictable differences in HIPV blends depending on global herbivore characteristics, including coexistence history. Consequently, native organisms may be able to rapidly adapt to potentially disruptive effects of exotic herbivores on the infochemical network.
植物挥发物(HIPVs)是作为特定信号传递给更高营养级的物质。进入本地食物网的新型外来食草动物,由于 HIPV 谱的变化,可能会破坏信息素网络。在这里,我们分析了被 10 种食草动物侵害的本地芸薹属植物的 HIPV 混合物,这些食草动物具有不同的共存历史、饮食广度和摄食方式。偏最小二乘法(PLS)模型被用来评估荷兰芸薹属植物发出的 HIPV 混合物是否在本地和外来食草动物之间、在专食者和广食者之间、在刺吸式和咀嚼式食草动物之间存在差异。这些模型被用来预测另外两种食草动物的情况。我们发现,HIPV 混合物对食草动物的进化历史、饮食广度和摄食方式的预测准确率达到 80%或更高。基于 HIPVs,PLS 模型可靠地预测出,烟粉虱和斜纹夜蛾被荷兰芸薹属植物感知为外来、食叶的广食者。这些结果表明,HIPV 混合物存在一致且可预测的差异,这取决于全球食草动物的特征,包括共存历史。因此,本地生物可能能够迅速适应外来食草动物对信息素网络的潜在破坏性影响。