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Unlocking foraminiferal genetic diversity on estuarine mudflats with eDNA metabarcoding

生物指示剂 生态学 环境DNA 河口 生物监测 栖息地 有孔虫 环境科学 底栖区 生态系统 环境变化 生物多样性 气候变化 生物
作者
David Singer,Marie P. A. Fouet,Magali Schweizer,Aurélia Mouret,Sophie Quinchard,Frans Jorissen
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:902: 165983-165983 被引量:3
标识
DOI:10.1016/j.scitotenv.2023.165983
摘要

Environmental biomonitoring is a prerequisite for efficient evaluation and remediation of ecosystem degradation due to anthropogenic pressure or climate change. Estuaries are key habitats subject to multiple anthropogenic and natural stressors. Due to these multiple stressors, the detection of anthropogenic pressure is challenging. The fact that abundant natural stressors often lead to negative quality assessments has been coined the "estuarine quality paradox". To solve this issue, the application of molecular approaches with successful bioindicators like foraminifera is promising. However, sampling protocols, molecular procedures and data analyses need to be validated before such tools can be routinely applied. We conducted an environmental DNA survey of estuarine mudflats along the French Atlantic coast, using a metabarcoding approach targeting foraminifera. Our results demonstrate that estuarine environments have only a few active OTUs dominating the community composition and a large stock of dormant or propagule stages. This last genetic diversity components constitute an important reservoir, with different species which can potentially develop in response to the temporal variability of the multiple stressors. In fact, different OTUs were dominant in the studied estuaries. Our statistical model shows that the physical and chemical characteristics of the sediment and the climatic conditions explain only 43 % of the community composition variance. This suggests that other, less easily quantifiable factors, such as the history and use of the estuaries or the ecological drift could play an important role as well. Environmental DNA biomonitoring opens new perspectives to better characterize the genetic diversity in estuaries.
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