Caterpillars on a phytochemical landscape: The case of alfalfa and the Melissa blue butterfly
Caterpillars on a phytochemical landscape: The case of alfalfa and the Melissa blue butterfly
复制标题
DOI：
10.1002/ece3.6203
复制
发表时间：
2020-04-21
影响因子：
2.6
通讯作者：
Gompert, Zach
中科院分区：
文献类型：
--
作者：
Forister, Matthew L.;Yoon, Su'ad A.;Gompert, Zach
现代代谢组学方法可以生成比以前更全面的植物化学谱，为了解植物与动物的相互作用提供了新的机会。具体来说，我们可以通过询问大量的单个化合物如何影响食草动物以及化合物如何在植物之间协变来描述植物化学景观。在这里，我们使用最近的殖民苜蓿（紫花苜蓿）的梅丽莎蓝蝴蝶（Lycaeides melissa）调查的影响，indivdiual化合物和套件的协变植物化学物质对毛虫的性能。我们发现，生存，发育时间和成年体重都与营养和毒性的变化，包括生物分子与植物细胞功能以及推定的抗草食动物的行动。植物-昆虫界面是复杂的，在许多情况下，具有共变化合物的簇包含对毛虫性能的不同方面的不同影响。具有最强关联的单个化合物主要是专门的代谢物，包括生物碱、酚苷和皂苷。在我们的数据中，皂苷由超过25个单独的化合物表示，这些化合物对L. melissa caterpillars，它强调了代谢组学数据的价值，而不是依赖于广泛防御类别内的总浓度的方法。
Modern metabolomic approaches that generate more comprehensive phytochemical profiles than were previously available are providing new opportunities for understanding plant-animal interactions. Specifically, we can characterize the phytochemical landscape by asking how a larger number of individual compounds affect herbivores and how compounds covary among plants. Here we use the recent colonization of alfalfa (Medicago sativa) by the Melissa blue butterfly (Lycaeides melissa) to investigate the effects of indivdiual compounds and suites of covarying phytochemicals on caterpillar performance. We find that survival, development time, and adult weight are all associated with variation in nutrition and toxicity, including biomolecules associated with plant cell function as well as putative anti-herbivore action. The plant-insect interface is complex, with clusters of covarying compounds in many cases encompassing divergent effects on different aspects of caterpillar performance. Individual compounds with the strongest associations are largely specialized metabolites, including alkaloids, phenolic glycosides, and saponins. The saponins are represented in our data by more than 25 individual compounds with beneficial and detrimental effects on L. melissa caterpillars, which highlights the value of metabolomic data as opposed to approaches that rely on total concentrations within broad defensive classes.