项目编号 PRJCA062840
项目标题 Agriculgural eDNA
涉及领域 Agricultural
数据类型 Metagenome
Raw sequence reads
物种名称
描述信息 Here, we quantitatively evaluated pesticide residues and utilized high-resolution environmental DNA (eDNA) metagenomics to decode multi-trophic community responses across a typical major grain-producing region locating in China. Among 39 targeted pesticides, 26 were detected with total concentrations ranging from 27.9 to 478.8 ng/g. While herbicides and fungicides dominated the residual mass, insecticides posed the most severe ecological threat. Notably, the neonicotinoid imidacloprid exhibited High-risk levels (mean RQ = 1.7) at >61.1% of the sampling sites. eDNA profiling and Procrustes analyses revealed a clear trophic-dependent sensitivity gradient (p < 0.01). Lower-trophic microbial communities were severely perturbed; pesticide stress exerted profound non-target suppression on keystone plant-beneficial bacteria (e.g., Nocardioides). Concurrently, the soil mycobiome harbored an alarming 34.7% of potential phytopathogenic fungi (e.g., Aspergillus and Colletotrichum), intrinsically driving the massive fungicide reliance. In contrast, higher-trophic soil metazoa (Rotifera, 40.4%) and weed communities (e.g., Digitaria sanguinalis) exhibited significant spatial stability, reflecting robust environmental buffering and herbicide-driven ecological escapes. Furthermore, co-occurrence networks decoupled target from non-target toxicities, uniquely revealing that persistent herbicide metabolites (desethylatrazine) induce prolonged legacy toxicities on specific soil fauna. Collectively, this study unveils the deep, cross-kingdom ecological disruptions caused by current pesticide regimes, underscoring the urgency of integrating eDNA biomonitoring to guide precision pest management and safeguard soil health in vital agricultural hubs.
样品范围 Environment
发布日期 2026-04-22
项目资金来源
机构 项目类型 授权项目ID 授权项目名称
No funding support
提交者 Mingyue Li (lmyzlx1220@126.com)
提交单位 Shangqiu Normal University
提交日期 2026-04-22

项目包含数据信息