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基于集水区的河流宏基因组学采样综合了高山景观的陆地和水生生物多样性。

Catchment-based sampling of river eDNA integrates terrestrial and aquatic biodiversity of alpine landscapes.

机构信息

Unit of Land Change Science, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland.

Department of Environmental Systems Science, Institute of Terrestrial Ecosystems, ETH Zürich, Zurich, Switzerland.

出版信息

Oecologia. 2023 Aug;202(4):699-713. doi: 10.1007/s00442-023-05428-4. Epub 2023 Aug 9.

Abstract

Monitoring of terrestrial and aquatic species assemblages at large spatial scales based on environmental DNA (eDNA) has the potential to enable evidence-based environmental policymaking. The spatial coverage of eDNA-based studies varies substantially, and the ability of eDNA metabarcoding to capture regional biodiversity remains to be assessed; thus, questions about best practices in the sampling design of entire landscapes remain open. We tested the extent to which eDNA sampling can capture the diversity of a region with highly heterogeneous habitat patches across a wide elevation gradient for five days through multiple hydrological catchments of the Swiss Alps. Using peristaltic pumps, we filtered 60 L of water at five sites per catchment for a total volume of 1800 L. Using an eDNA metabarcoding approach focusing on vertebrates and plants, we detected 86 vertebrate taxa spanning 41 families and 263 plant taxa spanning 79 families across ten catchments. For mammals, fishes, amphibians and plants, the detected taxa covered some of the most common species in the region according to long-term records while including a few more rare taxa. We found marked turnover among samples from distinct elevational classes indicating that the biological signal in alpine rivers remains relatively localised and is not aggregated downstream. Accordingly, species compositions differed between catchments and correlated with catchment-level forest and grassland cover. Biomonitoring schemes based on capturing eDNA across rivers within biologically integrated catchments may pave the way toward a spatially comprehensive estimation of biodiversity.

摘要

基于环境 DNA(eDNA)对陆地和水生物种组合进行大空间尺度监测,有可能为基于证据的环境决策制定提供支持。eDNA 研究的空间覆盖范围差异很大,eDNA 宏条形码捕获区域生物多样性的能力仍有待评估;因此,关于整个景观采样设计的最佳实践问题仍然存在。我们通过瑞士阿尔卑斯山的多个水文集水区,在五天内,通过多个海拔梯度的高度异质生境斑块,测试了 eDNA 采样在多大程度上可以捕获一个区域的多样性。我们使用蠕动泵在每个集水区的五个地点过滤 60 升水,总过滤量为 1800 升。使用专注于脊椎动物和植物的 eDNA 宏条形码方法,我们在十个集水区中检测到 86 种脊椎动物类群,涵盖 41 个科;263 种植物类群,涵盖 79 个科。对于哺乳动物、鱼类、两栖动物和植物,根据长期记录,检测到的类群包括该地区一些最常见的物种,同时还包括一些更罕见的类群。我们发现,来自不同海拔类别的样本之间存在明显的更替,表明高山河流中的生物信号仍然相对本地化,而不会向下游聚集。因此,物种组成在集水区之间存在差异,并与集水区级别的森林和草原覆盖相关。基于在具有生物整合的集水区内捕获 eDNA 的生物监测计划,可能为全面估计生物多样性铺平道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c6a/10475001/3c8fec896bb8/442_2023_5428_Fig1_HTML.jpg

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