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土壤 DNA 生物监测揭示了农业生态系统中多营养层次生物多样性和生态健康的变化。

Soil eDNA biomonitoring reveals changes in multitrophic biodiversity and ecological health of agroecosystems.

机构信息

Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China.

Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China.

出版信息

Environ Res. 2024 Dec 1;262(Pt 2):119931. doi: 10.1016/j.envres.2024.119931. Epub 2024 Sep 10.

Abstract

Soil health is integral to sustainable agroecosystem management. Current monitoring and assessment practices primarily focus on soil physicochemical properties, yet the perspective of multitrophic biodiversity remains underexplored. Here we used environmental DNA (eDNA) technology to monitor multitrophic biodiversity in four typical agroecosystems, and analyzed the species composition and diversity changes in fungi, bacteria and metazoan, and combined with the traditional physicochemical variables to establish a soil health assessment framework centered on biodiversity data. First, eDNA technology detected rich multitrophic biodiversity in four agroecosystems, including 100 phyla, 273 classes, 611 orders, 1026 families, 1668 genera and 1146 species with annotated classification, and the relative sequence abundance of dominant taxa fluctuates tens of times across agroecosystems. Second, significant differences in soil physicochemical variables such as organic matter (OM), total nitrogen (TN) and available phosphorus (AP) were observed among different agroecosystems, nutrients were higher in cropland and rice paddies, while heavy metals were higher in fish ponds and lotus ponds. Third, biodiversity metrics, including α and β diversity, also showed significant changes across agroecosystems, the soil biota was generally more sensitive to nutrients (e.g., OM, TN or AP), while the fungal communities were mainly affected by heavy metals in October (e.g., Cu and Cr). Finally, we screened 48 sensitive organismal indicators and found significant positive consistency between the developed eDNA indices and the traditional soil quality index (SQI, reaching up to R = 0.58). In general, this study demonstrated the potential of eDNA technology in soil health assessment and underscored the importance of a multitrophic perspective for efficient monitoring and managing agroecosystems.

摘要

土壤健康是可持续农业生态系统管理的重要组成部分。目前的监测和评估实践主要集中在土壤理化性质上,但多营养层次生物多样性的观点仍未得到充分探索。在这里,我们使用环境 DNA(eDNA)技术监测了四个典型农业生态系统中的多营养层次生物多样性,并分析了真菌、细菌和后生动物的物种组成和多样性变化,同时结合传统的理化变量,建立了一个以生物多样性数据为中心的土壤健康评估框架。首先,eDNA 技术在四个农业生态系统中检测到了丰富的多营养层次生物多样性,包括 100 个门、273 个纲、611 个目、1026 个科、1668 个属和 1146 个具有注释分类的种,并且优势类群的相对序列丰度在农业生态系统之间波动了几十倍。其次,不同农业生态系统之间的土壤理化变量(如有机质(OM)、总氮(TN)和有效磷(AP))存在显著差异,耕地和稻田的养分较高,而鱼塘和莲池的重金属较高。第三,生物多样性指标,包括 α 和 β 多样性,在农业生态系统之间也表现出显著变化,土壤生物群通常对养分(如 OM、TN 或 AP)更敏感,而真菌群落主要受 10 月份重金属(如 Cu 和 Cr)的影响。最后,我们筛选了 48 个敏感的生物指标,发现开发的 eDNA 指数与传统土壤质量指数(SQI)之间存在显著的正一致性(最高可达 R=0.58)。总的来说,本研究证明了 eDNA 技术在土壤健康评估中的潜力,并强调了多营养层次视角对于高效监测和管理农业生态系统的重要性。

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