Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain; Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Barcelona, Catalonia, Spain; Grup de Recerca Zoological Systematics & Evolution (ZooSysEvo), Universitat de Barcelona, Barcelona, Catalonia, Spain.
Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Barcelona, Catalonia, Spain; Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Barcelona, Catalonia, Spain; Norwegian College of Fishery Science, UiT - The Arctic University of Norway, Tromsø, Norway.
Sci Total Environ. 2024 Jul 20;935:173243. doi: 10.1016/j.scitotenv.2024.173243. Epub 2024 May 16.
Determining biological status of freshwater ecosystems is critical for ensuring ecosystem health and maintaining associated services to such ecosystems. Freshwater macroinvertebrates respond predictably to environmental disturbances and are widely used in biomonitoring programs. However, many freshwater species are difficult to capture and sort from debris or substrate and morphological identification is challenging, especially larval stages, damaged specimens, or hyperdiverse groups such as Diptera. The advent of high throughput sequencing technologies has enhanced DNA barcoding tools to automatise species identification for whole communities, as metabarcoding is increasingly used to monitor biodiversity. However, recent comparisons have revealed little congruence between morphological and molecular-based identifications. Using broad range universal primers for DNA barcode marker cox1, we compare community composition captured between morphological and molecular-based approaches from different sources - tissue-based (bulk benthic and bulk drift samples) and environmental DNA (eDNA, filtered water) metabarcoding - for samples collected along a gradient of anthropogenic disturbances. For comparability, metabarcoding taxonomic assignments were filtered by taxa included in the standardised national biological metric IBMWP. At the family level, bulk benthic metabarcoding showed the highest congruence with morphology, and the most abundant taxa were captured by all techniques. Richness captured by morphology and bulk benthic metabarcoding decreased along the gradient, whereas richness recorded by eDNA remained constant and increased downstream when sequencing bulk drift. Estimates of biological metrics were higher using molecular than morphological identification. At species level, diversity captured by bulk benthic samples were higher than the other techniques. Importantly, bulk benthic and eDNA metabarcoding captured different and complementary portions of the community - benthic versus water column, respectively - and their combined use is recommended. While bulk benthic metabarcoding can likely replace morphology using similar benthic biological indices, water eDNA will require new metrics because this technique sequences a different portion of the community.
确定淡水生态系统的生物状况对于确保生态系统健康和维持相关生态系统服务至关重要。淡水大型无脊椎动物对环境干扰有可预测的反应,因此被广泛用于生物监测计划中。然而,许多淡水物种难以从碎屑或基质中捕获和分类,形态鉴定也具有挑战性,特别是幼虫阶段、受损标本或像双翅目这样的高度多样化的群体。高通量测序技术的出现增强了 DNA 条形码工具,使整个群落的物种鉴定自动化,因为代谢组学越来越多地用于监测生物多样性。然而,最近的比较表明,形态学和基于分子的鉴定之间几乎没有一致性。我们使用广泛的通用引物对 DNA 条形码标记 cox1 进行分析,比较了来自不同来源的形态学和基于分子的方法(组织基础的(底栖和漂移样本)和环境 DNA(过滤水)代谢组学)捕获的群落组成,这些样本是沿着人为干扰梯度采集的。为了可比性,通过标准化国家生物指标 IBMWP 中包含的分类单元对代谢组学分类分配进行了过滤。在科水平上,底栖批量代谢组学与形态学的一致性最高,最丰富的分类单元被所有技术捕获。形态学和底栖批量代谢组学捕获的丰富度沿着梯度减少,而 eDNA 记录的丰富度保持不变,当批量漂移测序时则增加。使用分子鉴定比形态学鉴定获得的生物指标估计值更高。在种水平上,底栖样本捕获的多样性高于其他技术。重要的是,底栖批量和 eDNA 代谢组学分别捕获了群落的不同和互补部分——分别是底栖和水柱,因此建议联合使用。虽然底栖批量代谢组学可以使用类似的底栖生物指标替代形态学,但水 eDNA 将需要新的指标,因为该技术序列的是群落的不同部分。