Christodoulou Magdalini, Derycke Sofie, Beentjes Kevin K, Hillewaert Hans, Laakmann Silke, Lundin Kennet, Kamyab Elham, Khodami Sahar, Maes Sara, Reiss Henning, Uhlir Carolin, Van den Bulcke Laure, Van der Hoorn Berry, De Backer Annelies, Arbizu Pedro Martinez
OÖ Landes-Kultur GmbH, Biodiversity Center, Linz, 4040, Austria.
Senckenberg am Meer, German Centre for Marine Biodiversity Research (DZMB), Wilhelmshaven, 26382, Germany.
Sci Data. 2025 Jul 11;12(1):1198. doi: 10.1038/s41597-025-05500-z.
EU directives (e.g. MSFD, Habitats Directive), along with OSPAR guidelines, mandate sustainable marine resource management across national borders. Benthic organisms are crucial for assessing marine ecosystem health, but their morphological identification is time-consuming and costly. High-throughput sequencing, particularly DNA metabarcoding, offers an alternative. However, DNA-based monitoring requires substantial investment in high-quality DNA reference libraries. The GEANS project (Genetic Tools for Ecosystem Health Assessment in the North Sea Region) aimed to develop efficient DNA-based tools for benthic biomonitoring. GEANS created a curated DNA reference library (COI) for species relevant to North Sea macrobenthos monitoring, using new sequences, non-public barcode sequences, and mined sequences from GenBank and BOLD. The library, stored in a dedicated BOLD project with photographs and metadata, includes DNA barcodes for 4005 specimens from 715 species, representing over 29% of North Sea macrobenthos species. Arthropoda is the most represented, while Bryozoa and Annelida have the lowest coverage. This DNA library is expected to facilitate fast, cost-effective environmental health assessments in the North Sea for public authorities and academics.
欧盟指令(如《海洋战略框架指令》《栖息地指令》)以及《奥斯巴公约》准则要求跨国界进行可持续的海洋资源管理。底栖生物对于评估海洋生态系统健康状况至关重要,但其形态鉴定既耗时又昂贵。高通量测序,尤其是DNA宏条形码技术,提供了一种替代方法。然而,基于DNA的监测需要在高质量DNA参考文库方面进行大量投资。GEANS项目(北海区域生态系统健康评估的遗传工具)旨在开发用于底栖生物监测的高效基于DNA的工具。GEANS利用新序列、非公开条形码序列以及从GenBank和BOLD数据库挖掘的序列,为与北海大型底栖生物监测相关的物种创建了一个经过整理的DNA参考文库(细胞色素氧化酶亚基I)。该文库存储在一个带有照片和元数据的专用BOLD项目中,包含来自715个物种的4005个标本的DNA条形码,占北海大型底栖生物物种的29%以上。节肢动物的代表性最强,而苔藓虫纲和环节动物门的覆盖率最低。预计这个DNA文库将有助于为公共当局和学术界快速、经济高效地评估北海的环境健康状况。