Evaluating freshwater macroinvertebrates from eDNA metabarcoding: A river Nalón case study

PLoS One. 2018 Aug 8;13(8):e0201741. doi: 10.1371/journal.pone.0201741. eCollection 2018.

Abstract

Rivers are a vital resource for human wellbeing. To reduce human impact on water bodies, the European Union has established an essential regulatory framework for protection and sustainable management (WFD; 2000/60/EC). In this strategy, reliable and economic bioindicators are a fundamental component. Benthic macroinvertebrates are the group most commonly used as bioindicators through all European countries. However, their conventional assessment currently entails serious cost-efficiency limitations. In this study, we have tested the reliability of metabarcoding as a tool to record river macroinvertebrates using samples from a mock community (in vitro validation) and eDNA extracted for field validation from water from six sites within a north Iberian river (River Nalón, Asturias, Spain). Two markers (V4 region within the nuclear 18S rDNA and a fragment of the mitochondrial COI gene) were amplified and sequenced using an Illumina platform. The molecular technique has proven to be more sensitive than the visual one. A cost-benefit analysis shows that the metabarcoding approach is more expensive than conventional techniques for determining macroinvertebrate communities but requires fewer sampling and identification efforts. Our results suggest metabarcoding is a useful tool for alternative assessment of freshwater quality.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Animals
  • Biodiversity
  • Computational Biology
  • Cost-Benefit Analysis
  • DNA Barcoding, Taxonomic / economics
  • DNA Barcoding, Taxonomic / methods*
  • Fresh Water*
  • High-Throughput Nucleotide Sequencing
  • In Vitro Techniques
  • Invertebrates / genetics*
  • RNA, Ribosomal, 18S
  • Reproducibility of Results
  • Spain

Substances

  • RNA, Ribosomal, 18S

Grants and funding

This study was funded from the European Union’s Horizon 2020 Research and Innovation program under Grant Agreement No 689682, Adaptive Management of Barriers in European Rivers (AMBER) project. The study was also partially funded by the Juan de la cierva Fellowship to AA. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.