Senckenberg am Meer, German Centre for Marine Biodiversity Research, Südstrand 44, 26382, Wilhelmshaven, Germany.
Ifremer (Institut français de recherche pour l'exploitation de la mer), Avenue Jean Monnet BP 171, 34200, Sète, France.
Sci Rep. 2018 Oct 4;8(1):14822. doi: 10.1038/s41598-018-32917-x.
We establish the new approach of environmental DNA (eDNA) analyses for the North Sea. Our study uses a multigene approach, including the mitochondrial cytochrome-c-oxidase subunit I (COI) gene for analyzing species composition and the nuclear hypervariable region V8 of 18S rDNA for analyzing supraspecific biodiversity. A new minibarcode primer (124 bp) was created on the basis of a metazoan COI barcode library with 506 species and tested in silico, in vitro, and in situ. We applied high throughput sequencing to filtrates of 23 near-bottom water samples taken at three seasons from 14 stations. The set of COI primers allowed amplification of mitochondrial minibarcodes for diverse metazoan phyla and the differentiation at the species level for more than 99% of the specimens in the dataset. Our results revealed that the number of sequences is not consistent with proportions in the given DNA mixture. Altogether, environmental sequences could be assigned to 114 species and to 12 metazoan phyla. A spatial distribution of taxa recovered by eDNA was congruent with known distributions. Finally, the successful detection of species and biodiversity depends on a comprehensive sequence reference database. Our study offers a powerful tool for future biodiversity research, including the detection of nonnative species.
我们为北海建立了新的环境 DNA(eDNA)分析方法。本研究采用多基因方法,包括线粒体细胞色素 c 氧化酶亚基 I(COI)基因来分析物种组成,以及核超变区 V8 的 18S rDNA 来分析超种生物多样性。在基于包含 506 个物种的后生动物 COI 条码库的基础上,我们创建了一个新的 minibarcode 引物(124bp),并进行了计算机模拟、体外和原位测试。我们应用高通量测序技术对三个季节在 14 个站位采集的 23 个近底水样的滤出物进行了分析。该套 COI 引物允许对不同后生动物门的线粒体 minibarcodes 进行扩增,并对数据集内 99%以上的标本进行物种水平的区分。我们的结果表明,序列数量与给定 DNA 混合物中的比例不一致。总的来说,环境序列可被分配到 114 个物种和 12 个后生动物门。通过 eDNA 回收的分类单元的空间分布与已知分布一致。最后,物种和生物多样性的成功检测取决于全面的序列参考数据库。本研究为未来的生物多样性研究提供了一个强大的工具,包括对非本地物种的检测。