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利用 eDNA 提高生物指数的空间分辨率来衡量水生环境的状态。

Measuring the state of aquatic environments using eDNA-upscaling spatial resolution of biotic indices.

机构信息

Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstr. 190, Zürich 8057, Switzerland.

Department of Aquatic Ecology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, Dübendorf 8600, Switzerland.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2024 Jun 24;379(1904):20230121. doi: 10.1098/rstb.2023.0121. Epub 2024 May 6.

Abstract

Aquatic macroinvertebrates, including many aquatic insect orders, are a diverse and ecologically relevant organismal group yet they are strongly affected by anthropogenic activities. As many of these taxa are highly sensitive to environmental change, they offer a particularly good early warning system for human-induced change, thus leading to their intense monitoring. In aquatic ecosystems there is a plethora of biotic monitoring or biomonitoring approaches, with more than 300 assessment methods reported for freshwater taxa alone. Ultimately, monitoring of aquatic macroinvertebrates is used to calculate ecological indices describing the state of aquatic systems. Many of the methods and indices used are not only hard to compare, but especially difficult to scale in time and space. Novel DNA-based approaches to measure the state and change of aquatic environments now offer unprecedented opportunities, also for possible integration towards commonly applicable indices. Here, we first give a perspective on DNA-based approaches in the monitoring of aquatic organisms, with a focus on aquatic insects, and how to move beyond traditional point-based biotic indices. Second, we demonstrate a proof-of-concept for spatially upscaling ecological indices based on environmental DNA, demonstrating how integration of these novel molecular approaches with hydrological models allows an accurate evaluation at the catchment scale. This article is part of the theme issue 'Towards a toolkit for global insect biodiversity monitoring'.

摘要

水生大型无脊椎动物,包括许多水生昆虫目,是一个多样化且具有生态相关性的生物群体,但它们受到人为活动的强烈影响。由于许多这些类群对环境变化非常敏感,因此它们提供了一个特别好的人为变化早期预警系统,从而导致对它们的强烈监测。在水生生态系统中有大量的生物监测或生物监测方法,仅淡水分类群就报告了 300 多种评估方法。最终,水生大型无脊椎动物的监测用于计算描述水生系统状态的生态指数。许多使用的方法和指数不仅难以比较,而且特别难以在时间和空间上进行扩展。现在,基于 DNA 的新方法可用于测量水生环境的状态和变化,为可能整合到通用指数中提供了前所未有的机会。在这里,我们首先从基于 DNA 的水生生物监测方法的角度出发,重点关注水生昆虫,以及如何超越传统的基于生物的点指数。其次,我们展示了基于环境 DNA 进行空间扩展生态指数的概念验证,展示了如何将这些新的分子方法与水文学模型集成,以便在集水区尺度上进行准确评估。本文是主题为“全球昆虫生物多样性监测工具包”的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac81/11070250/b29f3c346505/rstb20230121f01.jpg

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