Faculty of Advanced Science and Technology, Ryukoku University, 1-5, Yokotani, Oe-cho, Seta, Otsu City, Shiga, 520-2194, Japan.
Ryukoku Center for Biodiversity Science, 1-5, Yokotani, Oe-cho, Seta, Otsu City, Shiga, 520-2194, Japan.
Naturwissenschaften. 2022 Jul 21;109(4):38. doi: 10.1007/s00114-022-01808-7.
Environmental DNA (eDNA) analysis is a promising tool for the sensitive and effective monitoring of species distribution and abundance. Traditional eDNA analysis has targeted mitochondrial DNA (mtDNA) fragments due to their abundance in cells; however, the quantification may vary depending on cell type and physiology. Conversely, some recent eDNA studies have targeted multi-copy nuclear DNA (nuDNA) fragments, such as ribosomal RNA genes, in water, and reported a higher detectability and more rapid degradation than mitochondrial eDNA (mt-eDNA). These properties suggest that nuclear eDNA (nu-eDNA) may be useful for the accurate estimation of species abundance relative to mt-eDNA, but which remains unclear. In this study, we compiled previous studies and re-analyzed the relationships between mt- and nu-eDNA concentration and species abundance by comparing the R values of the linear regression. We then performed an aquarium experiment using zebrafish (Danio rerio) to compare the relationships across genetic regions, including single-copy nuDNA. We found more accurate relationships between multi-copy nu-eDNA and species abundance than mt-eDNA in these datasets, although the difference was not significant upon weighted-averaging the R values. Moreover, we compared the decay rate constants of zebrafish eDNA across genetic regions and found that multi-copy nu-eDNA degraded faster than mt-eDNA under pH 7, implying a quick turnover of multi-copy nu-eDNA in the field. Although further empirical studies of nu-eDNA applications are necessary to support our findings, this study provides the groundwork for improving the estimation accuracy of species abundance via eDNA analysis.
环境 DNA(eDNA)分析是一种很有前途的工具,可用于敏感有效地监测物种的分布和丰度。传统的 eDNA 分析针对线粒体 DNA(mtDNA)片段,因为它们在细胞中含量丰富;然而,由于细胞类型和生理状态的不同,其定量可能会有所不同。相反,一些最近的 eDNA 研究针对水中的多拷贝核 DNA(nuDNA)片段,如核糖体 RNA 基因,并报告了比线粒体 eDNA(mt-eDNA)更高的可检测性和更快的降解速度。这些特性表明,核 DNA(nu-eDNA)可能有助于相对于 mt-eDNA 更准确地估计物种丰度,但这一点仍不清楚。在本研究中,我们汇编了以前的研究,并通过比较线性回归的 R 值重新分析了 mt-eDNA 和 nu-eDNA 浓度与物种丰度之间的关系。然后,我们使用斑马鱼(Danio rerio)进行了水族馆实验,以比较跨遗传区域的关系,包括单拷贝 nuDNA。我们发现,在这些数据集,多拷贝 nu-eDNA 与物种丰度之间的关系比 mt-eDNA 更准确,尽管加权平均 R 值时差异并不显著。此外,我们比较了跨遗传区域的斑马鱼 eDNA 的衰减率常数,发现在 pH 值为 7 时,多拷贝 nu-eDNA 的降解速度快于 mt-eDNA,这意味着多拷贝 nu-eDNA 在野外的周转率很快。尽管需要进一步的 nu-eDNA 应用实证研究来支持我们的发现,但本研究为通过 eDNA 分析提高物种丰度估计的准确性奠定了基础。