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Benthic monitoring of oil and gas offshore platforms in the North Sea using environmental DNA metabarcoding
Molecular Ecology ( IF 4.9 ) Pub Date : 2020-10-17 , DOI: 10.1111/mec.15698
Florian Mauffrey 1, 2 , Tristan Cordier 1, 2 , Laure Apothéloz-Perret-Gentil 1, 2 , Kristina Cermakova 2 , Thomas Merzi 3 , Matthieu Delefosse 4 , Philippe Blanc 3 , Jan Pawlowski 1, 2, 5
Affiliation  

Since 2010, considerable efforts have been undertaken to monitor the environmental status of European marine waters and ensuring the development of methodological standards for the evaluation of this status. However, the current routine biomonitoring implicates time-consuming and costly manual sorting and morphological identification of benthic macrofauna. Environmental DNA (eDNA) metabarcoding represents an alternative to the traditional monitoring method with very promising results. Here, we tested it further by performing eDNA metabarcoding of benthic eukaryotic communities in the vicinity of two offshore oil and gas platforms in the North Sea. Three different genetic markers (18S V1V2, 18S V9 and COI) were used to assess the environmental pressures induced by the platforms. All markers showed patterns of alpha and beta diversity consistent with morphology-based macrofauna analyses. In particular, the communities' structure inferred from metabarcoding and morphological data significantly changed along distance gradients from the platforms. The impact of the operational discharges was also detected by the variation of biotic index values, AMBI index showing the best correlation between morphological and eDNA data sets. Finally, the sediment physicochemical parameters were used to build a local de novo pressure index that served as benchmark to test the potential of a taxonomy-free approach. Our study demonstrates that metabarcoding approach outperforms morphology-based approach and can be used as a cost and time-saving alternative solution to the traditional morphology-based monitoring in order to monitor more efficiently the impact of industrial activities on marine biodiversity.

中文翻译:

使用环境 DNA 元条形码对北海石油和天然气海上平台进行海底监测

自 2010 年以来,为监测欧洲海洋水域的环境状况并确保制定评估这一状况的方法标准做出了大量努力。然而,目前的常规生物监测涉及对底栖大型动物进行耗时且昂贵的人工分类和形态识别。环境 DNA (eDNA) 元条形码代表了传统监测方法的替代方法,具有非常有希望的结果。在这里,我们通过对北海两个海上石油和天然气平台附近的底栖真核生物群落进行 eDNA 元条形码进一步测试。三种不同的遗传标记(18S V1V2、18S V9 和 COI)用于评估平台引起的环境压力。所有标记都显示出与基于形态的大型动物群分析一致的 alpha 和 beta 多样性模式。特别是,从元条形码和形态学数据推断出的群落结构沿距平台的距离梯度发生了显着变化。生物指数值的变化也检测到了操作排放的影响,AMBI 指数显示了形态学和 eDNA 数据集之间的最佳相关性。最后,沉积物物理化学参数用于构建局部从头压力指数,作为测试无分类方法潜力的基准。
更新日期:2020-10-17
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