Université Côte d'Azur, CNRS, ECOSEAS, 28 Avenue Valrose, 06000 Nice, France.
THALASSA Marine Research & Environmental Awareness, 286 F Route d'Aspremont, 06690 Tourrette-Levens, France.
Sci Total Environ. 2024 Dec 15;956:177250. doi: 10.1016/j.scitotenv.2024.177250. Epub 2024 Nov 7.
Fish monitoring is essential for assessing the effects of natural and anthropic stressors on marine ecosystems. In this context, environmental DNA (eDNA) metabarcoding appears to be a promising tool, due to its efficiency in species detection. However, before this method can be fully implemented in monitoring programs, more studies are needed to evaluate its ability to assess the composition of fish assemblages compared with traditional survey methods that have been used for decades. Here, we used both eDNA metabarcoding and Underwater Visual Census (UVC) to assess the taxonomic and functional diversity (presence-absence data) of Mediterranean fish communities. We collected eDNA samples and performed UVC strip transects inside and outside four Marine Protected Areas in the Mediterranean Sea. Samples for eDNA analysis were collected by filtering seawater simultaneously at the surface and the bottom, and DNA was amplified using a combination of three sets of primers. We found that eDNA alone made an outstanding characterisation of fish composition with the detection of 95 % of the 60 taxa identified in this study, whereas UVC recovered only 58 % of them. Functional diversity was better evaluated with eDNA than with UVC, with the detection of a greater breadth of functional traits. eDNA was even better at characterising functional than taxonomic diversity, providing reliable information on ecosystem functioning with little sampling effort. Together these results suggest that eDNA metabarcoding offers great potential for surveying complex marine ecosystems. Combining eDNA metabarcoding and UVC in integrated monitoring programs would therefore improve monitoring strategies and enhance our understanding of fish communities, a key step promoting their conservation.
鱼类监测对于评估自然和人为胁迫对海洋生态系统的影响至关重要。在这种情况下,环境 DNA (eDNA) 宏条形码似乎是一种很有前途的工具,因为它在物种检测方面非常高效。然而,在这种方法能够完全应用于监测计划之前,还需要更多的研究来评估其与传统调查方法相比评估鱼类群落组成的能力,这些传统方法已经使用了几十年。在这里,我们使用 eDNA 宏条形码和水下视觉普查 (UVC) 来评估地中海鱼类群落的分类和功能多样性(存在-缺失数据)。我们在四个地中海海洋保护区内外采集了 eDNA 样本并进行了 UVC 条带横切。用于 eDNA 分析的样本是通过同时在水面和底部过滤海水收集的,使用三组引物组合扩增 DNA。我们发现,仅 eDNA 就能出色地描述鱼类的组成,检测到本研究中确定的 60 个分类群中的 95%,而 UVC 仅能检测到其中的 58%。与 UVC 相比,eDNA 能更好地评估功能多样性,检测到更多的功能特征。eDNA 甚至比 UVC 更擅长描述功能多样性,用较少的采样就能提供有关生态系统功能的可靠信息。这些结果表明,eDNA 宏条形码为调查复杂的海洋生态系统提供了巨大的潜力。在综合监测计划中结合 eDNA 宏条形码和 UVC,将改善监测策略并增强我们对鱼类群落的理解,这是促进鱼类保护的关键一步。