Department of Anatomy, University of Otago, Dunedin, New Zealand.
Department of Zoology, University of Otago, Dunedin, New Zealand.
Mol Ecol Resour. 2019 Mar;19(2):426-438. doi: 10.1111/1755-0998.12982.
While in recent years environmental DNA (eDNA) metabarcoding surveys have shown great promise as an alternative monitoring method, the integration into existing marine monitoring programs may be confounded by the dispersal of the eDNA signal. Currents and tidal influences could transport eDNA over great distances, inducing false-positive species detection, leading to inaccurate biodiversity assessments and, ultimately, mismanagement of marine environments. In this study, we determined the ability of eDNA metabarcoding surveys to distinguish localized signals obtained from four marine habitats within a small spatial scale (<5 km) subject to significant tidal and along-shore water flow. Our eDNA metabarcoding survey detected 86 genera, within 77 families and across 11 phyla using three established metabarcoding assays targeting fish (16S rRNA gene), crustacean (16S rRNA gene) and eukaryotic (cytochrome oxidase subunit 1) diversity. Ordination and cluster analyses for both taxonomic and OTU data sets show distinct eDNA signals between the sampled habitats, suggesting dispersal of eDNA among habitats was limited. Individual taxa with strong habitat preferences displayed localized eDNA signals in accordance with their respective habitat, whereas taxa known to be less habitat-specific generated more ubiquitous signals. Our data add to evidence that eDNA metabarcoding surveys in marine environments detect a broad range of taxa that are spatially discrete. Our work also highlights that refinement of assay choice is essential to realize the full potential of eDNA metabarcoding surveys in marine biodiversity monitoring programs.
虽然近年来环境 DNA(eDNA)代谢组学调查作为一种替代监测方法显示出巨大的潜力,但将其纳入现有的海洋监测计划可能会受到 eDNA 信号分散的影响。潮流和潮汐的影响可能会将 eDNA 携带到很远的距离,导致假阳性物种检测,从而导致生物多样性评估不准确,并最终导致海洋环境管理不善。在这项研究中,我们确定了 eDNA 代谢组学调查在区分受显著潮汐和沿岸水流影响的小空间尺度(<5km)内四个海洋生境获得的局部信号的能力。我们的 eDNA 代谢组学调查使用三种针对鱼类(16S rRNA 基因)、甲壳类动物(16S rRNA 基因)和真核生物(细胞色素氧化酶亚基 1)多样性的已建立的代谢组学分析检测到 86 属,77 科和 11 门。分类和 OTU 数据集的排序和聚类分析显示,采样生境之间存在明显的 eDNA 信号,表明生境之间的 eDNA 扩散受到限制。具有强烈生境偏好的个体分类群显示出与各自生境相对应的局部 eDNA 信号,而那些已知栖息地特异性较弱的分类群则产生更普遍的信号。我们的数据增加了证据,表明海洋环境中的 eDNA 代谢组学调查检测到广泛的具有空间离散性的分类群。我们的工作还强调,优化分析选择对于在海洋生物多样性监测计划中实现 eDNA 代谢组学调查的全部潜力至关重要。