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

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

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BORIS DOI
10.48620/93498
Publisher DOI
10.1093/biosci/biaf140
PubMed ID
41367901
Description
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.
Date of Publication
2025-12
Publication Type
Article
Subject(s)
500 Science > 570 Life sciences; biology
Keyword(s)
fish
•
historical DNA
•
metabarcoding
•
museomics
•
museum specimens
Language(s)
en
Contributor(s)
Schmid, Sarah
Straube, Nicolas
Albouy, Camille
Delling, Bo
Maclaine, James
Matschiner, Michael
Møller, Peter Rask
Nocita, Annamaria
Palandačić, Anja
Sonnewald, Moritz
Rüber, Lukas
Institute of Ecology and Evolution (IEE)
Alvarez, Nadir
Manel, Stéphanie
Pellissier, Loïc
Additional Credits
Institute of Ecology and Evolution (IEE)
Series
BioScience
Publisher
Oxford University Press
ISSN
0006-3568
Access(Rights)
open.access
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