Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA.
U.S. Geological Survey, New York Cooperative Fish and Wildlife Unit, Cornell University, Ithaca, NY, USA.
Mol Ecol. 2021 Feb;30(3):685-697. doi: 10.1111/mec.15765. Epub 2021 Jan 12.
Advances in environmental DNA (eDNA) methodologies have led to improvements in the ability to detect species and communities in aquatic environments, yet the majority of studies emphasize biological diversity at the species level by targeting variable sites within the mitochondrial genome. Here, we demonstrate that eDNA approaches also have the capacity to detect intraspecific diversity in the nuclear genome, allowing for assessments of population-level allele frequencies and estimates of the number of genetic contributors in an eDNA sample. Using a panel of microsatellite loci developed for the round goby (Neogobius melanostomus), we tested the similarity between eDNA-based and individual tissue-based estimates of allele frequencies from experimental mesocosms and in a field-based trial. Subsequently, we used a likelihood-based DNA mixture framework to estimate the number of unique genetic contributors in eDNA samples and in simulated mixtures of alleles. In both mesocosm and field samples, allele frequencies from eDNA were highly correlated with allele frequencies from genotyped round goby tissue samples, indicating nuclear markers can be reliably amplified from water samples. DNA mixture analyses were able to estimate the number of genetic contributors from mesocosm eDNA samples and simulated mixtures of DNA from up to 58 individuals, with the degree of positive or negative bias dependent on the filtering scheme of low-frequency alleles. With this study we document the application of eDNA and multiple amplicon-based methods to obtain intraspecific nuclear genetic information and estimate the absolute abundance of a species in eDNA samples. With proper validation, this approach has the potential to advance noninvasive survey methods to characterize populations and detect population-level genetic diversity.
环境 DNA(eDNA)方法的进步提高了在水生环境中检测物种和群落的能力,但大多数研究强调通过靶向线粒体基因组中的可变位点来检测物种水平的生物多样性。在这里,我们证明 eDNA 方法也有能力检测核基因组中的种内多样性,从而可以评估种群水平的等位基因频率,并估计 eDNA 样本中的遗传贡献者数量。我们使用为圆鳍鱼(Neogobius melanostomus)开发的微卫星基因座组,测试了实验中基于 eDNA 和基于个体组织的等位基因频率估计之间的相似性。随后,我们使用基于似然的 DNA 混合框架来估计 eDNA 样本和模拟混合物中独特遗传贡献者的数量。在中观和现场样本中,eDNA 的等位基因频率与经基因分型的圆鳍鱼组织样本的等位基因频率高度相关,表明可以从水样中可靠地扩增核标记。DNA 混合分析能够从中观 eDNA 样本和模拟的 DNA 混合物中估计遗传贡献者的数量,最多可以模拟 58 个个体的混合物,正或负偏差的程度取决于低频等位基因的过滤方案。通过本研究,我们记录了 eDNA 和多种基于扩增子的方法在获取种内核遗传信息和估计 eDNA 样本中物种绝对丰度方面的应用。通过适当的验证,这种方法有可能推进非侵入性调查方法,以描述种群并检测种群水平的遗传多样性。