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How to best detect threatened deadwood fungi – Comparing metabarcoding and fruit body surveys

ORCID
0000-0002-9082-3910
Affiliation
TUD Dresden University of Technology, Chair of Forest Zoology, Germany
Rieker, Daniel;
Affiliation
Goethe University Frankfurt, Institute for Ecology, Evolution and Diversity, Germany
Runnel, Kadri;
Affiliation
Laboratory of Environmental Microbiology, Institute of Microbiology CAS, Czech Republic
Baldrian, Petr;
Affiliation
Laboratory of Environmental Microbiology, Institute of Microbiology CAS, Czech Republic
Brabcová, Vendula;
GND
1139391372
ORCID
0000-0001-8689-4911
Affiliation
Julius Kühn Institute (JKI), Institute for National and International Plant Health, Germany
Hoppe, Björn;
Affiliation
TUD Dresden University of Technology, International Institute Zittau, Chair of Environmental Biotechnology, Germany
Kellner, Harald;
Affiliation
Helmholtz Centre for Environmental Research-UFZ, Department of Soil Ecology, Germany
Moll, Julia;
Affiliation
Laboratory of Environmental Microbiology, Institute of Microbiology CAS, Czech Republic
Vojtěch, Tláskal;
Affiliation
Goethe University Frankfurt, Institute for Ecology, Evolution and Diversity, Germany
Bässler, Claus

Effective conservation strategies are needed to prevent further loss of biodiversity. This requires a comprehensive assessment of species' presence, distribution, and population sizes. Such assessments can be extremely challenging for species-rich taxa, like fungi, which are difficult to detect and identify. In recent years, metabarcoding applied to environmental samples has proven to be a promising method for fungal detection. However, its potential against traditional fruit body surveys in monitoring threatened fungal species has rarely been tested. Here, we utilized data on deadwood-inhabiting fungi from 569 deadwood objects across five sites in Central Europe to compare the effectiveness of fruit body surveys and metabarcoding (of low and high sampling intensity) in detecting threatened species. Across objects, sites, and per object, metabarcoding was more effective in detecting threatened species than fruit body surveys, regardless of sampling intensity. Eleven percent of all threatened species across all objects and sites could be detected by both methods, 70 % exclusively by metabarcoding and 18 % exclusively by fruit body surveys. The number of species detected by both methods on the same object was <4 %. Effects of high sampling intensity metabarcoding were stronger than low sampling intensity at object level. The effectiveness of the survey method was mainly independent of deadwood object characteristics. We suggest that metabarcoding is a valuable tool for threatened fungal species monitoring and conservation status assessments. However, for a comprehensive assessment, fruit body surveys are still needed, as this method detected a unique set of species and indicates the presence of vital fungal individuals.

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License Holder: 2024 Published by Elsevier Ltd.

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