Evidence map›Paper›PMID 32724515›Full record

ArticleEcology and evolution2020

In silico and empirical evaluation of twelve metabarcoding primer sets for insectivorous diet analyses.

Orianne Tournayre, Maxime Leuchtmann, Ondine Filippi-Codaccioni, Marine Trillat, Sylvain Piry, Dominique Pontier, Nathalie Charbonnel, Maxime Galan

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Ecological Characteristics of Large-Bodied Sharks in the East Sea of Korea.Animals : an open access journal from MDPI · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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

8 authors at 3 institutions in 1 country.

Orianne TournayreCBGP INRAE CIRAD IRD Montpellier SupAgro Université de Montpellier Montpellier France.ORCID https://orcid.org/0000-0002-0260-8189
Maxime LeuchtmannNature Environnement 17 Surgères France.
Ondine Filippi-CodaccioniLabEx ECOFECT "Ecoevolutionary Dynamics of Infectious Diseases Université de Lyon Lyon France.ORCID https://orcid.org/0000-0001-7836-7716
Marine TrillatCBGP INRAE CIRAD IRD Montpellier SupAgro Université de Montpellier Montpellier France.
Sylvain PiryCBGP INRAE CIRAD IRD Montpellier SupAgro Université de Montpellier Montpellier France.ORCID https://orcid.org/0000-0002-7717-7555
Dominique PontierLabEx ECOFECT "Ecoevolutionary Dynamics of Infectious Diseases Université de Lyon Lyon France.ORCID https://orcid.org/0000-0003-4700-3543
Nathalie CharbonnelCBGP INRAE CIRAD IRD Montpellier SupAgro Université de Montpellier Montpellier France.ORCID https://orcid.org/0000-0002-7907-6539
Maxime GalanCBGP INRAE CIRAD IRD Montpellier SupAgro Université de Montpellier Montpellier France.ORCID https://orcid.org/0000-0001-6981-5732
Centre de Coopération Internationale en Recherche Agronomique pour le Développement · FRUniversité Claude Bernard Lyon 1 · FRNature Environnement 17 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the most recent decade, environmental DNA metabarcoding approaches have been both developed and improved to minimize the biological and technical biases in these protocols. However, challenges remain, notably those relating to primer design. In the current study, we comprehensively assessed the performance of ten COI and two 16S primer pairs for eDNA metabarcoding, including novel and previously published primers. We used a combined approach of in silico, in vivo-mock community (33 arthropod taxa from 16 orders), and guano-based analyses to identify primer sets that would maximize arthropod detection and taxonomic identification, successfully identify the predator (bat) species, and minimize the time and financial costs of the experiment. We focused on two insectivorous bat species that live together in mixed colonies: the greater horseshoe bat (

Indexed as

arthropodbatenvironmental DNAhigh‐throughput sequencingpredator feeding

Identifiers

PMID32724515
PMCPMC7381572
OpenAlexW3026163996

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.