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年度时间序列分析水基 DNA 揭示了湖泊生态系统生物多样性的生态相关动态。

Annual time-series analysis of aqueous eDNA reveals ecologically relevant dynamics of lake ecosystem biodiversity.

机构信息

Molecular Ecology and Fisheries Genetics Laboratory, School of Biological Sciences, Bangor University, Bangor, Gwynedd LL57 2UW, UK.

Environment Agency, Horizon House, Deanery Road, Bristol BS1 5AH, UK.

出版信息

Nat Commun. 2017 Jan 18;8:14087. doi: 10.1038/ncomms14087.

Abstract

The use of environmental DNA (eDNA) in biodiversity assessments offers a step-change in sensitivity, throughput and simultaneous measures of ecosystem diversity and function. There remains, however, a need to examine eDNA persistence in the wild through simultaneous temporal measures of eDNA and biota. Here, we use metabarcoding of two markers of different lengths, derived from an annual time series of aqueous lake eDNA to examine temporal shifts in ecosystem biodiversity and in an ecologically important group of macroinvertebrates (Diptera: Chironomidae). The analyses allow different levels of detection and validation of taxon richness and community composition (β-diversity) through time, with shorter eDNA fragments dominating the eDNA community. Comparisons between eDNA, community DNA, taxonomy and UK species abundance data further show significant relationships between diversity estimates derived across the disparate methodologies. Our results reveal the temporal dynamics of eDNA and validate the utility of eDNA metabarcoding for tracking seasonal diversity at the ecosystem scale.

摘要

环境 DNA(eDNA)在生物多样性评估中的应用在灵敏度、通量和同时测量生态系统多样性和功能方面带来了重大变化。然而,仍然需要通过同时对 eDNA 和生物群进行时间测量来检查 eDNA 在野外的持久性。在这里,我们使用来自年度水相湖 eDNA 时间序列的两个不同长度标记的代谢组学来检测生态系统生物多样性和生态上重要的大型无脊椎动物组(双翅目:摇蚊科)的时间变化。这些分析允许通过时间检测和验证分类丰富度和群落组成(β多样性)的不同水平,较短的 eDNA 片段主导 eDNA 群落。eDNA、群落 DNA、分类学和英国物种丰度数据之间的比较进一步表明,不同方法学中得出的多样性估计之间存在显著关系。我们的结果揭示了 eDNA 的时间动态,并验证了 eDNA 代谢组学用于跟踪生态系统尺度季节性多样性的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5477/5253663/6010cc4564cb/ncomms14087-f1.jpg

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