PlumX Metrics
Embed PlumX Metrics

Effects of sampling effort on biodiversity patterns estimated from environmental DNA metabarcoding surveys

Scientific Reports, ISSN: 2045-2322, Vol: 8, Issue: 1, Page: 8843
2018
  • 101
    Citations
  • 0
    Usage
  • 325
    Captures
  • 8
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    101
  • Captures
    325
  • Mentions
    8
    • News Mentions
      6
      • News
        6
    • Blog Mentions
      2
      • Blog
        2

Most Recent Blog

Arctic Ocean: climate change is flooding the remote north with light – and new species

Authors: Jørgen Berge, Vice Dean for Research, Arctic and Marine Biology, University of Tromsø; Carlos Duarte, Adjunct Professor of Marine Ecology, King Abdullah University of Science and Technology; Dorte Krause-Jensen, Professor, Marine Ecology, Aarhus University; Karen Filbee-Dexter, Research Fellow in Marine Ecology, Université Laval; Kimberly Howland, Research Scientist/Adjunct University Pro

Most Recent News

Arctic ocean: Climate change is flooding the remote north with light — and new species

A boat navigates at night next to large icebergs in eastern Greenland. (AP Photo/Felipe Dana) Jørgen Berge , University of Tromsø ; Carlos Duarte ,

Article Description

Environmental DNA (eDNA) metabarcoding can greatly enhance our understanding of global biodiversity and our ability to detect rare or cryptic species. However, sampling effort must be considered when interpreting results from these surveys. We explored how sampling effort influenced biodiversity patterns and nonindigenous species (NIS) detection in an eDNA metabarcoding survey of four commercial ports. Overall, we captured sequences from 18 metazoan phyla with minimal differences in taxonomic coverage between 18 S and COI primer sets. While community dissimilarity patterns were consistent across primers and sampling effort, richness patterns were not, suggesting that richness estimates are extremely sensitive to primer choice and sampling effort. The survey detected 64 potential NIS, with COI identifying more known NIS from port checklists but 18 S identifying more operational taxonomic units shared between three or more ports that represent un-recorded potential NIS. Overall, we conclude that eDNA metabarcoding surveys can reveal global similarity patterns among ports across a broad array of taxa and can also detect potential NIS in these key habitats. However, richness estimates and species assignments require caution. Based on results of this study, we make several recommendations for port eDNA sampling design and suggest several areas for future research.

Bibliographic Details

Grey, Erin K; Bernatchez, Louis; Cassey, Phillip; Deiner, Kristy; Deveney, Marty; Howland, Kimberly L; Lacoursière-Roussel, Anaïs; Leong, Sandric Chee Yew; Li, Yiyuan; Olds, Brett; Pfrender, Michael E; Prowse, Thomas A A; Renshaw, Mark A; Lodge, David M

Springer Science and Business Media LLC

Multidisciplinary

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know