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Environmental DNA metabarcoding: Transforming how we survey animal and plant communities

期刊

MOLECULAR ECOLOGY
卷 26, 期 21, 页码 5872-5895

出版社

WILEY
DOI: 10.1111/mec.14350

关键词

bioinformatic pipeline; biomonitoring; citizen science; conservation; ecology; eDNA; invasive species; macro-organism; species richness

资金

  1. U.S. Department of Defense [W912HQ-12-C-0073(RC-2240)]
  2. National Oceanic and Atmospheric Administration
  3. National Science Foundation [EF-1427157, DBI-1262480]
  4. European Cooperation in Science and Technology [CA15219]
  5. Swiss National Science Foundation [PP00P3_150698]
  6. Natural Environment Research Council [NBAF824 2013-14, NE/N003756/1, NE/N006216/1]
  7. Knowledge Economy Skills Scholarship
  8. Division Of Environmental Biology
  9. Direct For Biological Sciences [1748389] Funding Source: National Science Foundation
  10. Div Of Biological Infrastructure
  11. Direct For Biological Sciences [1262480] Funding Source: National Science Foundation
  12. NERC [NE/N006216/1, NBAF010002, NE/N005724/1, NE/N003756/1] Funding Source: UKRI
  13. Natural Environment Research Council [NE/N003756/1, NBAF010002, NE/N006216/1, NE/N005724/1] Funding Source: researchfish

向作者/读者索取更多资源

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.

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