Assessing the efficiency of eDNA metabarcoding for documenting patterns of metazoan communities in the Arctic.

Department of Biology, Laval University, Québec, Canada
Department of Fisheries and Oceans, Government of Canada, Winnipeg, Canada
Institut des sciences de la mer, University of Québec at Rimouski, Rimouski, Canada
Department of Fisheries and Oceans, Government of Canada, St-Andrews, Canada
DOI
10.7287/peerj.preprints.26798v1
Subject Areas
Biodiversity, Ecology, Molecular Biology
Keywords
eDNA, Metabarcoding, Biodiversity, Marine Invertebrates
Licence
This is an open access article, free of all copyright, made available under the Creative Commons Public Domain Dedication. This work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
Cite this article
Leduc N, Bernatchez L, Archambault P, Howland K, Dispas A, Winkler G, Lacoursière Roussel A. 2018. Assessing the efficiency of eDNA metabarcoding for documenting patterns of metazoan communities in the Arctic. PeerJ Preprints 6:e26798v1

Abstract

Arctic biodiversity has been for a long time underestimated, situated in a region considered as an austere environment combined to the lack of knowledge. The analysis of environmental DNA (eDNA), a new method tracing DNA from macro-organisms, is changing the way we monitor aquatic biodiversity and has the potential to answer large-scale fundamental biodiversity questions in remote regions such as the Arctic. This study aims to evaluate the eDNA dispersal by contrasting the difference between eDNA metabarcoding and classical sampling methods of the alpha, beta and gamma biodiversity index across the Canadian Arctic latitudinal gradient. Water samples of 250mL were collected in 13 sites within three Arctic ports: Churchill, Iqaluit and Deception Bay. Our results showed a species richness of 422 marine invertebrates, while the number of species detected decreased with latitude with more than 100 less species in the northern port. Contrasting the alpha biodiversity index between eDNA metabarcoding and species spatial distribution may be used to evaluate the eDNA spatial dispersion, thus answering important questions related to the ecology of eDNA and improving the integration of this new molecular tool within applied sciences.

Author Comment

This is an abstract which has been accepted for the WCMB