Graduate School of Human Development and Environment, Kobe University, Hyogo, Japan.
Maizuru Fisheries Research Station, Kyoto University, Kyoto, Japan.
Sci Rep. 2017 Jan 12;7:40368. doi: 10.1038/srep40368.
Environmental DNA (eDNA) metabarcoding has emerged as a potentially powerful tool to assess aquatic community structures. However, the method has hitherto lacked field tests that evaluate its effectiveness and practical properties as a biodiversity monitoring tool. Here, we evaluated the ability of eDNA metabarcoding to reveal fish community structures in species-rich coastal waters. High-performance fish-universal primers and systematic spatial water sampling at 47 stations covering ~11 km revealed the fish community structure at a species resolution. The eDNA metabarcoding based on a 6-h collection of water samples detected 128 fish species, of which 62.5% (40 species) were also observed by underwater visual censuses conducted over a 14-year period. This method also detected other local fishes (≥23 species) that were not observed by the visual censuses. These eDNA metabarcoding features will enhance marine ecosystem-related research, and the method will potentially become a standard tool for surveying fish communities.
环境 DNA(eDNA)宏条形码技术已成为评估水生群落结构的一种极具潜力的工具。然而,该方法迄今缺乏实地测试,以评估其作为生物多样性监测工具的有效性和实际特性。在这里,我们评估了 eDNA 宏条形码技术在物种丰富的沿海水域中揭示鱼类群落结构的能力。使用高性能的鱼类通用引物和在 47 个站点进行系统的空间水样采集,覆盖约 11 公里,以物种分辨率揭示了鱼类群落结构。基于采集 6 小时水样的 eDNA 宏条形码技术检测到 128 种鱼类,其中 62.5%(40 种)也通过 14 年期间进行的水下视觉普查观察到。该方法还检测到其他通过视觉普查未观察到的本地鱼类(≥23 种)。这些 eDNA 宏条形码特征将增强与海洋生态系统相关的研究,并且该方法有可能成为调查鱼类群落的标准工具。