Department of Ecology and Evolutionary Biology, University of California-Los Angeles, Los Angeles, California, United States of America.
Channel Islands National Park Service, Ventura, California, United States of America.
PLoS One. 2021 Feb 24;16(2):e0238557. doi: 10.1371/journal.pone.0238557. eCollection 2021.
Monitoring of marine protected areas (MPAs) is critical for marine ecosystem management, yet current protocols rely on SCUBA-based visual surveys that are costly and time consuming, limiting their scope and effectiveness. Environmental DNA (eDNA) metabarcoding is a promising alternative for marine ecosystem monitoring, but more direct comparisons to visual surveys are needed to understand the strengths and limitations of each approach. This study compares fish communities inside and outside the Scorpion State Marine Reserve off Santa Cruz Island, CA using eDNA metabarcoding and underwater visual census surveys. Results from eDNA captured 76% (19/25) of fish species and 95% (19/20) of fish genera observed during pairwise underwater visual census. Species missed by eDNA were due to the inability of MiFish 12S barcodes to differentiate species of rockfishes (Sebastes, n = 4) or low site occupancy rates of crevice-dwelling Lythrypnus gobies. However, eDNA detected an additional 23 fish species not recorded in paired visual surveys, but previously reported from prior visual surveys, highlighting the sensitivity of eDNA. Significant variation in eDNA signatures by location (50 m) and site (~1000 m) demonstrates the sensitivity of eDNA to address key questions such as community composition inside and outside MPAs. Results demonstrate the utility of eDNA metabarcoding for monitoring marine ecosystems, providing an important complementary tool to visual methods.
海洋保护区(MPAs)的监测对于海洋生态系统管理至关重要,但目前的协议依赖于基于水肺的视觉调查,这些调查既昂贵又耗时,限制了它们的范围和效果。环境 DNA(eDNA)宏条形码是海洋生态系统监测的一种很有前途的替代方法,但需要与视觉调查进行更多的直接比较,才能了解每种方法的优缺点。本研究使用 eDNA 宏条形码和水下视觉普查调查比较了加利福尼亚州圣克鲁斯岛外的蝎子州海洋保护区内外的鱼类群落。eDNA 捕获的结果与在成对水下视觉普查中观察到的鱼类物种的 76%(19/25)和鱼类属的 95%(19/20)相匹配。eDNA 漏掉的物种是由于 MiFish 12S 条形码无法区分石斑鱼(Sebastes,n=4)或裂缝居住的 Lythrypnus 虾虎鱼的物种,或者是由于这些物种在这些地点的存在率低。然而,eDNA 检测到了 23 种在配对视觉调查中未记录但以前在视觉调查中报告过的鱼类物种,突出了 eDNA 的敏感性。位置(50 米)和地点(~1000 米)的 eDNA 特征的显著变化表明 eDNA 能够解决关键问题,如保护区内外的群落组成。研究结果表明,eDNA 宏条形码在监测海洋生态系统方面具有实用性,为视觉方法提供了一种重要的补充工具。