Evidence map›Paper›PMID 41367901›Full record

ArticleBioscience2025

Unlocking natural history collections to improve eDNA reference databases and biodiversity monitoring.

Sarah Schmid, Nicolas Straube, Camille Albouy, Bo Delling, James Maclaine, Michael Matschiner, Peter Rask Møller, Annamaria Nocita, Anja Palandačić, Lukas Rüber and 4 more

Abstract read
In one paragraph

Article in Bioscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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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

14 authors.

Sarah SchmidEcosystems and Landscape Evolution group in between the Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland.ORCID https://orcid.org/0000-0002-9520-4086
Nicolas StraubeUniversity Museum of Bergen, Bergen, Norway.ORCID https://orcid.org/0000-0001-7047-1084
Camille AlbouyEcosystems and Landscape Evolution group in between the Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland.
Bo DellingSwedish Museum of Natural History, Stockholm, Sweden.
James MaclaineNatural History Museum, London, England, United Kingdom.
Michael MatschinerBavarian State Collection of Zoology, Munich, Germany.ORCID https://orcid.org/0000-0003-4741-3884
Peter Rask MøllerNatural History Museum of Denmark, Copenhagen, Denmark.
Annamaria NocitaMuseum La Specola, Florence, Italy.
Anja PalandačićMuseum of Natural History Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-4555-5240
Lukas RüberNatural History Museum of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0003-0125-008X
Moritz SonnewaldSenckenberg Research Institute, Frankfurt am Main, Germany.ORCID https://orcid.org/0000-0003-3042-8107
Nadir AlvarezNaturéum-State Museum of Natural History of the Canton de Vaud, Lausanne, Switzerland.
Stéphanie ManelEcole Pratique des Hautes Etudes and is based, Centre d'Ecologie Fonctionnelle et Evolutive, Montpellier, France.
Loïc PellissierEcosystems and Landscape Evolution group in between the Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland.ORCID https://orcid.org/0000-0002-2289-8259

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biodiversity changes due to human activities highlight the need for efficient biodiversity monitoring approaches. Environmental DNA (eDNA) metabarcoding offers a noninvasive method used for biodiversity monitoring and ecosystem assessment, but its accuracy depends on comprehensive DNA reference databases. Natural history collections often contain rare or difficult-to-obtain samples that can serve as a valuable resource to fill gaps in eDNA reference databases. In the present article, we discuss the utility of specimens from natural history collections in supporting future eDNA applications. Museomics-the application of -omics techniques to museum specimens-offers a promising avenue for improving eDNA reference databases by increasing species coverage. Furthermore, museomics can provide transferable methodological advancements for extracting genetic material from samples with low and degraded DNA. The integration of natural history collections, museomics, and eDNA approaches has the potential to significantly improve our understanding of global biodiversity, highlighting the continued importance of natural history collections.

Indexed as

fishhistorical DNAmetabarcodingmuseomicsmuseum specimens

Identifiers

PMID41367901
PMCPMC12683532

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.