Centre for Environmental Genomics Applications, eDNAtec Inc., St. John's, NL, Canada.
Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL, Canada.
PLoS One. 2020 Nov 4;15(11):e0236540. doi: 10.1371/journal.pone.0236540. eCollection 2020.
The deep ocean is the largest biome on Earth and faces increasing anthropogenic pressures from climate change and commercial fisheries. Our ability to sustainably manage this expansive habitat is impeded by our poor understanding of its inhabitants and by the difficulties in surveying and monitoring these areas. Environmental DNA (eDNA) metabarcoding has great potential to improve our understanding of this region and to facilitate monitoring across a broad range of taxa. Here, we evaluate two eDNA sampling protocols and seven primer sets for elucidating fish diversity from deep sea water samples. We found that deep sea water samples (> 1400 m depth) had significantly lower DNA concentrations than surface or mid-depth samples necessitating a refined protocol with a larger sampling volume. We recovered significantly more DNA in large volume water samples (1.5 L) filtered at sea compared to small volume samples (250 mL) held for lab filtration. Furthermore, the number of unique sequences (exact sequence variants; ESVs) recovered per sample was higher in large volume samples. Since the number of ESVs recovered from large volume samples was less variable and consistently high, we recommend the larger volumes when sampling water from the deep ocean. We also identified three primer sets which detected the most fish taxa but recommend using multiple markers due the variability in detection probabilities and taxonomic resolution among fishes for each primer set. Overall, fish diversity results obtained from metabarcoding were comparable to conventional survey methods. While eDNA sampling and processing need be optimized for this unique environment, the results of this study demonstrate that eDNA metabarcoding can facilitate biodiversity surveys in the deep ocean, require less dedicated survey effort per unit identification, and are capable of simultaneously providing valuable information on other taxonomic groups.
深海是地球上最大的生物群落,面临着气候变化和商业捕鱼等人为压力的不断增加。由于我们对深海居民的了解有限,以及调查和监测这些区域的困难,我们可持续管理这个广阔栖息地的能力受到了阻碍。环境 DNA(eDNA)宏条形码技术具有极大的潜力,可以增进我们对该区域的了解,并促进对广泛分类群的监测。在这里,我们评估了两种从深海水样中阐明鱼类多样性的 eDNA 采样方案和七种引物组。我们发现,深海水样(>1400 米深)的 DNA 浓度明显低于表层或中层水样,因此需要一种带有更大采样体积的改良方案。与在实验室过滤的小体积水样(250 毫升)相比,我们在海上过滤的大体积水样(1.5 升)中回收了更多的 DNA。此外,大体积水样中每个样品回收的独特序列(确切序列变异;ESV)数量更高。由于从大体积样品中回收的 ESV 数量变化较小且始终较高,因此我们建议在从深海采集水样时使用更大的体积。我们还确定了三套检测到最多鱼类分类群的引物组,但由于每个引物组中鱼类的检测概率和分类分辨率存在差异,因此建议使用多个标记。总体而言,宏条形码获得的鱼类多样性结果与传统调查方法相当。尽管 eDNA 采样和处理需要针对这种独特的环境进行优化,但本研究的结果表明,eDNA 宏条形码可以促进深海生物多样性调查,每个鉴定单位所需的专用调查工作量更少,并且能够同时提供有关其他分类群的有价值信息。