title: Spatial Representativeness of Environmental DNA Metabarcoding Signal for Fish Biodiversity Assessment in a Natural Freshwater System.
abstract: In the last few years, the study of environmental DNA (eDNA) has drawn attention for many reasons, including its advantages for monitoring and conservation purposes. So far, in aquatic environments, most of eDNA research has focused on the detection of single species using species-specific markers. Recently, species inventories based on the analysis of a single generalist marker targeting a larger taxonomic group (eDNA metabarcoding) have proven useful for bony fish and amphibian biodiversity surveys. This approach involves in situ filtering of large volumes of water followed by amplification and sequencing of a short discriminative fragment from the 12S rDNA mitochondrial gene. In this study, we went one step further by investigating the spatial representativeness (i.e. ecological reliability and signal variability in space) of eDNA metabarcoding for large-scale fish biodiversity assessment in a freshwater system including lentic and lotic environments. We tested the ability of this approach to characterize large-scale organization of fish communities along a longitudinal gradient, from a lake to the outflowing river. First, our results confirm that eDNA metabarcoding is more efficient than a single traditional sampling campaign to detect species presence, especially in rivers. Second, the species list obtained using this approach is comparable to the one obtained when cumulating all traditional sampling sessions since 1995 and 1988 for the lake and the river, respectively. In conclusion, eDNA metabarcoding gives a faithful description of local fish biodiversity in the study system, more specifically within a range of a few kilometers along the river in our study conditions, i.e. longer than a traditional fish sampling site.
authors.affiliation: Hydrosystems and Bioprocesses Research unit, IRSTEA, Antony, France.
authors.forename: Raphaël
authors.initials: R
authors.lastname: Civade
authors.affiliation: SPYGEN, Le Bourget du Lac, France.
authors.forename: Tony
authors.initials: T
authors.lastname: Dejean
authors.affiliation: SPYGEN, Le Bourget du Lac, France.
authors.forename: Alice
authors.initials: A
authors.lastname: Valentini
authors.affiliation: Rhône-Alpes Regional Direction, ONEMA, Bron, France.
authors.forename: Nicolas
authors.initials: N
authors.lastname: Roset
authors.affiliation: Rhône-Alpes Regional Direction, ONEMA, Bron, France.
authors.forename: Jean-Claude
authors.initials: JC
authors.lastname: Raymond
authors.affiliation: Laboratoire d'Ecologie Alpine (LECA), CNRS, Grenoble, France.|Laboratoire d'Ecologie Alpine (LECA), Université Grenoble-Alpes, Grenoble, France.
authors.forename: Aurélie
authors.initials: A
authors.lastname: Bonin
authors.affiliation: Laboratoire d'Ecologie Alpine (LECA), CNRS, Grenoble, France.|Laboratoire d'Ecologie Alpine (LECA), Université Grenoble-Alpes, Grenoble, France.
authors.forename: Pierre
authors.initials: P
authors.lastname: Taberlet
authors.affiliation: Hydrosystems and Bioprocesses Research unit, IRSTEA, Antony, France.
authors.forename: Didier
authors.initials: D
authors.lastname: Pont
mesh_terms: D000818:Animals; D044822:Biodiversity; D058893:DNA Barcoding, Taxonomic; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D005399:Fishes / Q000235:genetics*; D056145:Freshwater Biology; D060106:Lakes; D015203:Reproducibility of Results; D045483:Rivers