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Environmental DNA
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Lost in dead wood? Environmental DNA sequencing from dead wood shows little signs of saproxylic beetles

Authors: Nathalie Winiger; Sebastian Seibold; Kay Lucek; Jörg Müller; Gernot Segelbacher;
APC: 1,692.17 EUR

Lost in dead wood? Environmental DNA sequencing from dead wood shows little signs of saproxylic beetles

Abstract

AbstracteDNA metabarcoding has become a standard method for assessing wood‐inhabiting fungi and bacteria, yet determination of dead‐wood‐inhabiting beetles still relies on time‐consuming collection of beetle specimens. We thus tested whether beetle species can be identified by eDNA sequencing of wood in a mesocosm experiment that manipulated species assemblages. Dead wood samples were taken at exit holes of beetles and DNA was extracted and analyzed using two comparative methods: (i) metabarcoding with standard arthropod primers (421 bp) and (ii) using short species‐specific primers (120–264 bp) with Sanger sequencing. Results showed that beetle DNA was amplified by each of the two approaches, however, with (i) we detected only one non‐target saproxylic beetle species. In addition, we identified 80 different OTUs with four non‐targeted species of arthropods. For (ii) we detected the targeted species in two fresh beetle exit holes out of 20 samples. We suggest that, in contrast to fungi and bacteria, this eDNA metabarcoding approach is not able to reliably detect saproxylic beetles from wood samples, likely due to rapid degradation of their target DNA. Adapting such an approach for large‐scale analyses thus requires a better knowledge of degradation processes affecting DNA quality and quantity in wood.

Country
Germany
Keywords

dead wood, QR100-130, 577, eDNA metabarcoding, Environmental sciences, Microbial ecology, monitoring, Monochamus sutor, GE1-350, saproxylic beetles, ddc: ddc:, ddc: ddc:630

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
gold