Deiner Kristy, Bik Holly M, Mächler Elvira, Seymour Mathew, Lacoursière-Roussel Anaïs, Altermatt Florian, Creer Simon, Bista Iliana, Lodge David M, de Vere Natasha, Pfrender Michael E, Bernatchez Louis
Atkinson Center for a Sustainable Future, Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA.
Department of Nematology, University of California, Riverside, CA, USA.
Mol Ecol. 2017 Nov;26(21):5872-5895. doi: 10.1111/mec.14350. Epub 2017 Oct 26.
The genomic revolution has fundamentally changed how we survey biodiversity on earth. High-throughput sequencing ("HTS") platforms now enable the rapid sequencing of DNA from diverse kinds of environmental samples (termed "environmental DNA" or "eDNA"). Coupling HTS with our ability to associate sequences from eDNA with a taxonomic name is called "eDNA metabarcoding" and offers a powerful molecular tool capable of noninvasively surveying species richness from many ecosystems. Here, we review the use of eDNA metabarcoding for surveying animal and plant richness, and the challenges in using eDNA approaches to estimate relative abundance. We highlight eDNA applications in freshwater, marine and terrestrial environments, and in this broad context, we distill what is known about the ability of different eDNA sample types to approximate richness in space and across time. We provide guiding questions for study design and discuss the eDNA metabarcoding workflow with a focus on primers and library preparation methods. We additionally discuss important criteria for consideration of bioinformatic filtering of data sets, with recommendations for increasing transparency. Finally, looking to the future, we discuss emerging applications of eDNA metabarcoding in ecology, conservation, invasion biology, biomonitoring, and how eDNA metabarcoding can empower citizen science and biodiversity education.
基因组革命从根本上改变了我们对地球上生物多样性的调查方式。高通量测序(“HTS”)平台现在能够对来自各种环境样本的DNA进行快速测序(称为“环境DNA”或“eDNA”)。将HTS与我们将eDNA序列与分类学名称相关联的能力相结合,称为“eDNA宏条形码分析”,它提供了一种强大的分子工具,能够从许多生态系统中无创地调查物种丰富度。在这里,我们回顾了使用eDNA宏条形码分析来调查动植物丰富度,以及使用eDNA方法估计相对丰度时面临的挑战。我们重点介绍了eDNA在淡水、海洋和陆地环境中的应用,在这个广泛的背景下,我们总结了关于不同类型的eDNA样本在空间和时间上近似丰富度能力的已知信息。我们为研究设计提供指导性问题,并重点围绕引物和文库制备方法讨论eDNA宏条形码分析的工作流程。我们还讨论了数据集生物信息过滤时需要考虑的重要标准,并给出提高透明度的建议。最后,展望未来,我们讨论了eDNA宏条形码分析在生态学、保护、入侵生物学、生物监测等方面的新兴应用,以及eDNA宏条形码分析如何推动公民科学和生物多样性教育。