Fish community assessment with eDNA metabarcoding: effects of sampling design and bioinformatic filtering

By Nathan T. Evans, Yiyuan Li, M. Renshaw, Brett P. Olds, K. Deiner, C. Turner, C. Jerde, David M. Lodge, G. Lamberti, M. Pfrender. 2017

190 citations recorded by the source corpus.

Species richness is a metric of biodiversity that represents the number of species present in a community. Traditional fisheries assessments that rely on capture of organisms often underestimate true species richness. Environmental DNA (eDNA) metabarcoding is an alternative tool that infers species richness by collecting and sequencing DNA present in the ecosystem. Our objective was to determine how spatial distribution of samples and “bioinformatic stringency” affected eDNA-metabarcoding estimates of species richness compared with capture-based estimates in a 2.2 ha reservoir. When bioinformatic criteria required species to be detected only in a single sample, eDNA metabarcoding detected all species captured with traditional methods plus an additional 11 noncaptured species. However, when we required species to be detected with multiple markers and in multiple samples, eDNA metabarcoding detected only seven of the captured species. Our analysis of the spatial patterns of species detection indicated that ...

Subfields: Ecology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/7b97dab856303bfa240a9127926edec41a5d50fe

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

  1. L. Lawson Handley
  2. E. Mächler
  3. K. Deiner
  4. F. Altermatt
  5. A. Lacoursière-Roussel
  6. Meng Yao
  7. Shan Zhang
  8. Holly M. Bik

In Molecular Biology

  1. L. Lawson Handley
  2. E. Mächler
  3. F. Altermatt
  4. K. Deiner
  5. A. Lacoursière-Roussel
  6. Meng Yao
  7. Shan Zhang
  8. Holly M. Bik

Citations in the corpus