Implementation options for DNA-based identification into ecological status assessment under the European Water Framework Directive

欧盟水框架指令 环境DNA 鉴定(生物学) 生态学 采样(信号处理) 水质 底栖区 DNA条形码 环境科学 渔业 环境资源管理 生物 生物多样性 计算机科学 滤波器(信号处理) 计算机视觉
作者
Daniel Hering,Ángel Borja,J. Iwan Jones,Didier Pont,Pieter Boets,Agnès Bouchez,Kat Bruce,Stina Drakare,Bernd Hänfling,Maria Kahlert,Florian Leese,Kristian Meissner,Patricia Mergen,Yorick Reyjol,Pedro Segurado,Alfried P. Vogler,Martyn Kelly
出处
期刊:Water Research [Elsevier BV]
卷期号:138: 192-205 被引量:458
标识
DOI:10.1016/j.watres.2018.03.003
摘要

Assessment of ecological status for the European Water Framework Directive (WFD) is based on “Biological Quality Elements” (BQEs), namely phytoplankton, benthic flora, benthic invertebrates and fish. Morphological identification of these organisms is a time-consuming and expensive procedure. Here, we assess the options for complementing and, perhaps, replacing morphological identification with procedures using eDNA, metabarcoding or similar approaches. We rate the applicability of DNA-based identification for the individual BQEs and water categories (rivers, lakes, transitional and coastal waters) against eleven criteria, summarised under the headlines representativeness (for example suitability of current sampling methods for DNA-based identification, errors from DNA-based species detection), sensitivity (for example capability to detect sensitive taxa, unassigned reads), precision of DNA-based identification (knowledge about uncertainty), comparability with conventional approaches (for example sensitivity of metrics to differences in DNA-based identification), cost effectiveness and environmental impact. Overall, suitability of DNA-based identification is particularly high for fish, as eDNA is a well-suited sampling approach which can replace expensive and potentially harmful methods such as gill-netting, trawling or electrofishing. Furthermore, there are attempts to replace absolute by relative abundance in metric calculations. For invertebrates and phytobenthos, the main challenges include the modification of indices and completing barcode libraries. For phytoplankton, the barcode libraries are even more problematic, due to the high taxonomic diversity in plankton samples. If current assessment concepts are kept, DNA-based identification is least appropriate for macrophytes (rivers, lakes) and angiosperms/macroalgae (transitional and coastal waters), which are surveyed rather than sampled. We discuss general implications of implementing DNA-based identification into standard ecological assessment, in particular considering any adaptations to the WFD that may be required to facilitate the transition to molecular data.
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