Department of Geology, Lund University, Lund, Sweden.
Laboratoire de Planétologie et Géosciences, LPG UMR 6112, Université d'Angers, Nantes Université, Le Mans Université, CNRS, Angers, France.
J Eukaryot Microbiol. 2023 Jul-Aug;70(4):e12975. doi: 10.1111/jeu.12975. Epub 2023 Apr 12.
The health of coastal marine environments is severely declining with global changes. Proxies, such as those based on microeukaryote communities, can record biodiversity and ecosystem responses. However, conventional studies rely on microscopic observations of limited taxonomic range and size fraction, missing putatively ecologically informative community components. Here, we tested molecular tools to survey foraminiferal biodiversity in a fjord system (Sweden) on spatial and temporal scales: Alpha and beta diversity responses to natural and anthropogenic environmental trends were assessed and variability of foraminiferal environmental DNA (eDNA) compared to morphology-based data. The identification of eDNA-obtained taxonomic units was aided by single-cell barcoding. Our study revealed wide diversity, including typical morphospecies recognized in the fjords, and so-far unrecognized taxa. DNA extraction method impacted community composition outputs significantly. DNA extractions of 10 g sediment more reliably represented present diversity than of 0.5-g samples and, thus, are preferred for environmental assessments in this region. Alpha- and beta diversity of 10-g extracts correlated with bottom-water salinity similar to morpho-assemblage diversity changes. Sub-annual environmental variability resolved only partially, indicating damped sensitivity of foraminiferal communities on short timescales using established metabarcoding techniques. Systematically addressing the current limitations of morphology-based and metabarcoding studies may strongly improve future biodiversity and environmental assessments.
随着全球变化,沿海海洋环境的健康状况正在严重恶化。代用指标,如基于微型真核生物群落的代用指标,可以记录生物多样性和生态系统响应。然而,传统的研究依赖于有限的分类范围和大小分数的微观观察,错过了潜在的生态信息丰富的群落成分。在这里,我们测试了分子工具,以在空间和时间尺度上调查峡湾系统(瑞典)的有孔虫生物多样性:评估了对自然和人为环境趋势的 alpha 和 beta 多样性响应,并比较了形态学数据和基于环境 DNA(eDNA)的变异性。通过单细胞条形码辅助识别 eDNA 获得的分类单元。我们的研究揭示了广泛的多样性,包括在峡湾中识别的典型形态物种,以及迄今为止尚未被识别的分类群。DNA 提取方法对群落组成输出有显著影响。与 0.5 克样品相比,10 克沉积物的 DNA 提取更可靠地代表了现有多样性,因此,在该地区的环境评估中更受欢迎。10 克提取物的 alpha 和 beta 多样性与底层水盐度相关,类似于形态组合多样性的变化。亚年际环境变化仅部分解决,表明在短时间尺度上,使用已建立的代谢组学技术,有孔虫群落的敏感性降低。系统地解决基于形态学和代谢组学研究的当前局限性,可能会大大提高未来的生物多样性和环境评估。