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植物源环境 DNA 可补充传统节肢动物监测方法的多样性估计,但在检测植物-节肢动物相互作用方面表现优于后者。

Plant-derived environmental DNA complements diversity estimates from traditional arthropod monitoring methods but outperforms them detecting plant-arthropod interactions.

机构信息

Department of Biogeography, Trier University, Trier, Germany.

iES Landau, Institute for Environmental Sciences, University of Kaiserslautern-Landau, Landau in der Pfalz, Germany.

出版信息

Mol Ecol Resour. 2024 Feb;24(2):e13900. doi: 10.1111/1755-0998.13900. Epub 2023 Nov 27.

DOI:10.1111/1755-0998.13900
PMID:38010630
Abstract

Our limited knowledge about the ecological drivers of global arthropod decline highlights the urgent need for more effective biodiversity monitoring approaches. Monitoring of arthropods is commonly performed using passive trapping devices, which reliably recover diverse communities, but provide little ecological information on the sampled taxa. Especially the manifold interactions of arthropods with plants are barely understood. A promising strategy to overcome this shortfall is environmental DNA (eDNA) metabarcoding from plant material on which arthropods leave DNA traces through direct or indirect interactions. However, the accuracy of this approach has not been sufficiently tested. In four experiments, we exhaustively test the comparative performance of plant-derived eDNA from surface washes of plants and homogenized plant material against traditional monitoring approaches. We show that the recovered communities of plant-derived eDNA and traditional approaches only partly overlap, with eDNA recovering various additional taxa. This suggests eDNA as a useful complementary tool to traditional monitoring. Despite the differences in recovered taxa, estimates of community α- and β-diversity between both approaches are well correlated, highlighting the utility of eDNA as a broad scale tool for community monitoring. Last, eDNA outperforms traditional approaches in the recovery of plant-specific arthropod communities. Unlike traditional monitoring, eDNA revealed fine-scale community differentiation between individual plants and even within plant compartments. Especially specialized herbivores are better recovered with eDNA. Our results highlight the value of plant-derived eDNA analysis for large-scale biodiversity assessments that include information about community-level interactions.

摘要

我们对全球节肢动物减少的生态驱动因素的了解有限,这突出表明迫切需要更有效的生物多样性监测方法。节肢动物的监测通常使用被动诱捕装置进行,这些装置可靠地回收了多样化的群落,但对所采样类群的生态信息提供甚少。特别是节肢动物与植物之间的多种相互作用几乎不为人知。一种有前途的策略是从植物材料中提取环境 DNA(eDNA)宏条形码,通过直接或间接的相互作用,节肢动物在其上留下 DNA 痕迹。然而,这种方法的准确性尚未得到充分检验。在四项实验中,我们彻底测试了从植物表面冲洗液和匀浆植物材料中提取的植物源性 eDNA 与传统监测方法的比较性能。我们表明,从植物源性 eDNA 和传统方法中回收的群落仅部分重叠,eDNA 回收了各种其他类群。这表明 eDNA 是传统监测的有用补充工具。尽管回收的类群存在差异,但两种方法之间的群落 α-和 β-多样性估计值相关性良好,突出了 eDNA 作为群落监测的广泛应用工具的效用。最后,eDNA 在回收特定于植物的节肢动物群落方面优于传统方法。与传统监测不同,eDNA 揭示了个体植物之间甚至植物内部之间的细尺度群落分化。特别是 eDNA 可以更好地回收专门的食草动物。我们的结果强调了植物源性 eDNA 分析在包括群落水平相互作用信息的大规模生物多样性评估中的价值。

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