eDNA metabarcoding in zooplankton improves the ecological status assessment of aquatic ecosystems

eDNA metabarcoding in zooplankton improves the ecological status assessment of aquatic ecosystems
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浮游动物的 eDNA 元条形码可改善水生生态系统的生态状况评估

DOI:
10.1016/j.envint.2019.105230
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发表时间:
2020
影响因子:
11.8
通讯作者:
Zhang Xiaowei
Zhang Xiaowei
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Yang Jianghua;Zhang Xiaowei

文献摘要

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在全世界范围内,利用一系列经形态学鉴定的生物质量要素对水生生态系统进行监测。基于环境DNA(eDNA)的方法具有前所未有的优势(例如,高通量、高效率和低成本),用于淡水和海洋生态系统的生物多样性调查。eDNA的应用主要局限于生物多样性评价,如何应用eDNA方法评价生态健康状况在很大程度上是未知的。在这里,以浮游动物为例,我们研究了应用eDNA监测的生态状态评估在水生生态系统。结果表明,eDNA监测反映了浮游动物结构的时空变化。两个物种的组成和生物相互作用的采样季节(干燥,正常和潮湿)之间的变化显着。基于eDNA监测计算了60个不同的浮游动物指数,其中大多数指数与水污染水平高度相关,这是由一个或所有三个季节的水质指数表示。基于eDNA的定性和定量生物指标与水质相关。季节性的eDNA浮游动物完整性指数(IZI)反映了生态状况,提高了生物评价的时效性。
Aquatic ecosystems are monitored worldwide using a range of biological quality elements that are morphologically identified. The environmental DNA (eDNA)-based approach has unprecedented advantages (e.g., high throughput, high efficiency and low cost) for biodiversity surveys in both freshwater and marine ecosystems compared with traditional sampling and image recognition. The use of eDNA has been mostly limited to biodiversity estimation, how to apply the eDNA approach in assessing the ecological health status is largely unexplored. Here, using zooplankton as an example, we examined the application of eDNA monitoring for ecological status assessment in an aquatic ecosystem. The results showed that eDNA monitoring reflected the spatial and temporal variations in zooplankton structure. Both species composition and bio-interactions varied significantly between sampling seasons (dry, normal and wet). A total of 60 different zooplankton indices were calculated based on eDNA monitoring and most of these indices were highly correlated with the level of water pollution, which was indicated by the water quality index in one or all three seasons. Both qualitative and quantitative eDNA-based biological indices were correlated with water quality. The season-dependent eDNA zooplankton integrity index (IZI) reflected the ecological status, and this method improves the timeliness of bioassessment.