National Institute of Genetics, Mishima, Shizuoka 411-8540, Japan,
Department of Genetics, SOKENDAI University (National Institute of Genetics), Mishima, Shizuoka 411-8540, Japan.
Zoolog Sci. 2022 Feb;39(1):157-165. doi: 10.2108/zs210073.
The dynamics of microscopic marine plankton in coastal areas is a fundamental theme in marine biodiversity research, but studies have been limited because the only available methodology was collection of plankton using plankton-nets and microscopic observation. In recent years, environmental DNA (eDNA) analysis has exhibited potential for conducting comprehensive surveys of marine plankton diversity in water at fixed points and depths in the ocean. However, few studies have examined how eDNA analysis reflects the actual distribution and dynamics of organisms in the field, and further investigation is needed to determine whether it can detect distinct differences in plankton density in the field. To address this, we analyzed eDNA in seawater samples collected at 1 km intervals at three depths over a linear distance of approximately 3.0 km in the Seto Inland Sea. The survey area included a location with a high density of Acoela (). However, the eDNA signal for this was little to none, and its presence would not have been noticed if we did not have this information beforehand. Meanwhile, eDNA analysis enabled us to confirm the presence of a species of Placozoa that was previously undiscovered in the area. In summary, our results suggest that the number of sequence reads generated from eDNA samples in our project was not sufficient to predict the density of a particular species. However, eDNA can be useful for detecting organisms that have been overlooked using other methods.
海洋浮游生物微观动态是海洋生物多样性研究的一个基本主题,但由于仅有的可用方法是使用浮游生物网收集浮游生物并进行微观观察,因此相关研究受到限制。近年来,环境 DNA(eDNA)分析显示出在海洋中固定点和深度进行海洋浮游生物多样性全面调查的潜力。然而,很少有研究探讨 eDNA 分析如何反映现场生物的实际分布和动态,需要进一步研究以确定它是否可以检测到现场浮游生物密度的明显差异。为了解决这个问题,我们分析了濑户内海约 3.0 公里线性距离内三个深度每隔 1 公里采集的海水样本中的 eDNA。调查区域包括一个 Acoela()密度很高的地点。然而,该地点的 eDNA 信号几乎没有,若非事先掌握该信息,我们将无法注意到它的存在。同时,eDNA 分析使我们能够确认该地区以前未发现的 Placozoa 物种的存在。总之,我们的结果表明,我们项目中从 eDNA 样本中生成的序列读数数量不足以预测特定物种的密度。但是,eDNA 可用于检测其他方法可能忽略的生物。