Evidence map›Paper›PMID 30816174›Full record

ArticleScientific reports2019

Optimizing environmental DNA sampling effort for fish inventories in tropical streams and rivers.

Isabel Cantera, Kévin Cilleros, Alice Valentini, Axel Cerdan, Tony Dejean, Amaia Iribar, Pierre Taberlet, Régis Vigouroux, Sébastien Brosse

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Isabel CanteraLaboratoire Évolution & Diversité Biologique (EDB UMR5174), Université Paul Sabatier - Toulouse 3, CNRS, IRD, UPS, 118 route de Narbonne, 31062, Toulouse Cedex, France. isa_cantera@hotmail.com.ORCID 0000-0003-3161-1878
Kévin CillerosLaboratoire Évolution & Diversité Biologique (EDB UMR5174), Université Paul Sabatier - Toulouse 3, CNRS, IRD, UPS, 118 route de Narbonne, 31062, Toulouse Cedex, France.
Alice ValentiniSPYGEN, 17 rue du Lac Saint-André Savoie Technolac - BP 274, Le Bourget-du-Lac, 73375, France.ORCID 0000-0001-5829-5479
Axel CerdanLaboratoire Évolution & Diversité Biologique (EDB UMR5174), Université Paul Sabatier - Toulouse 3, CNRS, IRD, UPS, 118 route de Narbonne, 31062, Toulouse Cedex, France.
Tony DejeanSPYGEN, 17 rue du Lac Saint-André Savoie Technolac - BP 274, Le Bourget-du-Lac, 73375, France.
Amaia IribarLaboratoire Évolution & Diversité Biologique (EDB UMR5174), Université Paul Sabatier - Toulouse 3, CNRS, IRD, UPS, 118 route de Narbonne, 31062, Toulouse Cedex, France.
Pierre TaberletLaboratoire d'Ecologie Alpine (LECA UMR5553), CNRS, Université Grenoble Alpes, 38041, Grenoble, France.
Régis VigourouxHYDRECO, Laboratoire Environnement de Petit Saut, B.P 823, F-97388, Kourou Cedex, French Guiana.
Sébastien BrosseLaboratoire Évolution & Diversité Biologique (EDB UMR5174), Université Paul Sabatier - Toulouse 3, CNRS, IRD, UPS, 118 route de Narbonne, 31062, Toulouse Cedex, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental DNA (eDNA) metabarcoding is a promising tool to estimate aquatic biodiversity. It is based on the capture of DNA from a water sample. The sampled water volume, a crucial aspect for efficient species detection, has been empirically variable (ranging from few centiliters to tens of liters). This results in a high variability of sampling effort across studies, making comparisons difficult and raising uncertainties about the completeness of eDNA inventories. Our aim was to determine the sampling effort (filtered water volume) needed to get optimal inventories of fish assemblages in species-rich tropical streams and rivers using eDNA. Ten DNA replicates were collected in six Guianese sites (3 streams and 3 rivers), resulting in sampling efforts ranging from 17 to 340 liters of water. We show that sampling 34 liters of water detected more than 64% of the expected fish fauna and permitted to distinguish the fauna between sites and between ecosystem types (stream versus rivers). Above 68 liters, the number of detected species per site increased slightly, with a detection rate higher than 71%. Increasing sampling effort up to 340 liters provided little additional information, testifying that filtering 34 to 68 liters is sufficient to inventory most of the fauna in highly diverse tropical aquatic ecosystems.

Indexed as

AnimalsBiodiversityDNA Barcoding, TaxonomicDNA, EnvironmentalEnvironmental MonitoringFishesFrench GuianaRiversSample SizeWaterDNA, EnvironmentalWater

Identifiers

PMID30816174
PMCPMC6395586

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.