Evidence map›Paper›PMID 33047508›Full record

ArticleMolecular ecology resources2021

A powerful long metabarcoding method for the determination of complex diets from faecal analysis of the European pond turtle (Emys orbicularis, L. 1758).

Charlotte Ducotterd, Julien Crovadore, François Lefort, Jean-François Rubin, Sylvain Ursenbacher

Open access · hybridAbstract read
In one paragraph

Article in Molecular ecology resources, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

3 citing papers in PubMed, 10 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Charlotte DucotterdDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-0196-8430
Julien CrovadoreHEPIA, HES-SO, University of Applied Sciences and Arts Western Switzerland, Jussy, Switzerland.ORCID https://orcid.org/0000-0002-0467-4999
François LefortHEPIA, HES-SO, University of Applied Sciences and Arts Western Switzerland, Jussy, Switzerland.ORCID https://orcid.org/0000-0002-9977-9952
Jean-François RubinLa Maison de la Rivière, Tolochenaz, Switzerland.ORCID https://orcid.org/0000-0001-9016-8832
Sylvain UrsenbacherDepartment of Environmental Sciences, Section of Conservation Biology, University of Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0001-5093-6403
HES-SO University of Applied Sciences and Arts Western Switzerland · CHUniversity of Basel · CH

Funding

Canton de GenèveCanton de NeuchâtelCanton de VaudFondation GelbertHES-SO University of Applied Sciences and Arts Western SwitzerlandLa Maison de la RivièreOffice Fédéral de l'EnvironnementProtection et Récupération des tortuesSchildkröten-Interessengemeinschaft SchweizSociété Académique Vaudoise
6 · The paper itself

Abstract

High-throughput sequencing has become an accurate method for the identification of species present in soil, water, faeces, gut or stomach contents. However, information at the species level is limited due to the choice of short barcodes and based on the idea that DNA is too degraded to allow longer sequences to be amplified. We have therefore developed a long DNA metabarcoding method based on the sequencing of short reads followed by de novo assembly, which can precisely identify the taxonomic groups of organisms associated with complex diets, such as omnivorous individuals. The procedure includes 11 different primer pairs targeting the COI gene, the large subunit of the ribulose-1,5-bisphosphate carboxylase gene, the maturase K gene, the 28S rRNA and the trnL-trnF chloroplastic region. We validated this approach using 32 faeces samples from an omnivorous reptile, the European pond turtle (Emys orbicularis, L. 1758). This metabarcoding approach was assessed using controlled experiments including mock communities and faecal samples from captive feeding trials. The method allowed us to accurately identify prey DNA present in the diet of the European pond turtles to the species level in most of the cases (82.4%), based on the amplicon lengths of multiple markers (168-1,379 bp, average 546 bp), and produced by de novo assembly. The proposed approach can be adapted to analyse various diets, in numerous conservation and ecological applications. It is consequently appropriate for detecting fine dietary variations among individuals, populations and species as well as for the identification of rare food items.

Indexed as

DNA Barcoding, TaxonomicTurtlesAnimalsDietFecesHigh-Throughput Nucleotide Sequencingde novo assembly diet analysisEuropean pond turtlefaecal analysislong metabarcoding

Identifiers

PMID33047508
PMCPMC7821331
OpenAlexW3092625556

What OpenQuestion holds

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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.