Department of Earth Sciences, University of Geneva, Geneva, Switzerland.
Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland.
PLoS One. 2024 Feb 29;19(2):e0298440. doi: 10.1371/journal.pone.0298440. eCollection 2024.
Environmental DNA metabarcoding reveals a vast genetic diversity of marine eukaryotes. Yet, most of the metabarcoding data remain unassigned due to the paucity of reference databases. This is particularly true for the deep-sea meiofauna and eukaryotic microbiota, whose hidden diversity is largely unexplored. Here, we tackle this issue by using unique DNA signatures to classify unknown metabarcodes assigned to deep-sea foraminifera. We analyzed metabarcoding data obtained from 311 deep-sea sediment samples collected in the Clarion-Clipperton Fracture Zone, an area of potential polymetallic nodule exploitation in the Eastern Pacific Ocean. Using the signatures designed in the 37F hypervariable region of the 18S rRNA gene, we were able to classify 802 unassigned metabarcodes into 61 novel lineages, which have been placed in 27 phylogenetic clades. The comparison of new lineages with other foraminiferal datasets shows that most novel lineages are widely distributed in the deep sea. Five lineages are also present in the shallow-water datasets; however, phylogenetic analysis of these lineages separates deep-sea and shallow-water metabarcodes except in one case. While the signature-based classification does not solve the problem of gaps in reference databases, this taxonomy-free approach provides insight into the distribution and ecology of deep-sea species represented by unassigned metabarcodes, which could be useful in future applications of metabarcoding for environmental monitoring.
环境 DNA 宏条形码揭示了海洋真核生物的巨大遗传多样性。然而,由于参考数据库的匮乏,大多数宏条形码数据仍然未被注释。这在深海小型生物和真核微生物群中尤为如此,它们隐藏的多样性在很大程度上尚未被探索。在这里,我们通过使用独特的 DNA 特征来解决这个问题,这些特征可用于对分配给深海有孔虫的未知宏条形码进行分类。我们分析了从东太平洋克拉里昂-克利珀顿断裂区采集的 311 个深海沉积物样本中获得的宏条形码数据。该区域是潜在的多金属结核开采区。我们使用在 18S rRNA 基因的 37F 高变区设计的特征,能够将 802 个未注释的宏条形码分类为 61 个新谱系,这些谱系被归入 27 个系统发育枝。与其他有孔虫数据集的新谱系比较表明,大多数新谱系广泛分布于深海。有 5 个谱系也存在于浅海数据集;然而,除了一个案例外,这些谱系的系统发育分析将深海和浅海宏条形码分开。虽然基于特征的分类并不能解决参考数据库中的空白问题,但这种无分类学的方法提供了对未注释宏条形码所代表的深海物种的分布和生态学的深入了解,这在未来的环境监测宏条形码应用中可能会很有用。