Ecological reliability of eDNA metabarcoding approach for fish biodiversity survey in freshwater ecosystems: comparison to traditional sampling methods
Raphaël Civade  1, *@  , Alice Valentini  2@  , Nicolas Roset  3@  , Matthieu Le-Brun  4@  , Claude Miaud  5@  , Pierre Taberlet  6@  , Nicolas Poulet  3@  , Tony Dejean  2@  , Didier Pont  1@  
1 : Hydrosystèmes et bioprocédés  (UR HBAN)  -  Website
Irstea
1 rue Pierre-Gilles de Gennes 92761 Antony Cedex -  France
2 : SPYGEN  -  Website
SPYGEN
3 : Office National de l'Eau et des Milieux Aquatiques - ONEMA (France)
Ministère de l'écologie de l'Energie, du Développement durable et de l'Aménagement du territoire
4 : Laboratoire National d'Hydraulique et d'Environnement  (LNHE)
EDF Recherche et Développement
6 quai Watier, 78401 Chatou Cedex -  France
5 : Centre d'Ecologie Fonctionnelle et Evolutive  (CEFE)  -  Website
Campus CNRS, UMR 5175
1919 route de Mende;34293;Montpellier Cedex 5 -  France
6 : Laboratoire d'écologie alpine  (LECA)  -  Website
CNRS : UMR5553, Université Grenoble Alpes
LECA, BP 53 2233 Rue de la Piscine 38041 Grenoble Cedex 9 -  France
* : Corresponding author

In the past few years, environmental DNA (eDNA) has drawn attention for different reasons, including its potential use for conservation purposes. Currently, more and more publications on macroorganisms in aquatic ecosystems are spotlighting the eDNA metabarcoding approach, i.e. group-specific detection at species level able to describe species communities in mesocosms or natural ecosystems. These studies are seeking for a suitable molecular analysis pipeline (i.e. analytical protocol from sampling to molecular and bioinformatics analysis). In this study, using Valentini et al. (2016) pipeline, we investigated the ecological reliability of this approach for assessing fish biodiversity in rivers. Three main aspects were tested: (1) the comparison of current traditional field surveys with the eDNA metabarcoding approach; (2) the comparison of more than ten years temporal traditional field surveys with the eDNA metabarcoding approach; (3) the distance detection of the eDNA metabarcoding signal. Our results demonstrated the reliability of the eDNA approach and its higher efficiency compared to the traditional methods to describe species assemblages. Finally, the spatial representativity of this new method and of the detection distance of species is discussed.


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