ArticleMycoKeys2022
Metabarcoding of insect-associated fungal communities: a comparison of internal transcribed spacer (ITS) and large-subunit (LSU) rRNA markers.
Article in MycoKeys, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Article
- A Deep Metagenomic Snapshot as a Proof-of-Concept for Resource Generation: Simultaneous Assembly of Host, Food, and Microbiome Genomes From Stingless Bee Larval Food.Ecology and evolution · 2025Article
- FungID: Innovative Fungi Identification Method with Chromogenic Profiling of Colony Color Patterns.Pathogens (Basel, Switzerland) · 2025Article
- Characterization of susceptibility patterns and adaptability of the newly emerged Candida auris.International microbiology : the official journal of the Spanish Society for Microbiology · 2025Article
- Comparison of commonly used software pipelines for analyzing fungal metabarcoding data.BMC genomics · 2024Article
- Endosphere mycobiome in mature rice roots originate from both seedlings and soils.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024Article
- First experimental evidence for active farming in ambrosia beetles and strong heredity of garden microbiomes.Proceedings. Biological sciences · 2022Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Full taxonomic characterisation of fungal communities is necessary for establishing ecological associations and early detection of pathogens and invasive species. Complex communities of fungi are regularly characterised by metabarcoding using the Internal Transcribed Spacer (ITS) and the Large-Subunit (LSU) gene of the rRNA locus, but reliance on a single short sequence fragment limits the confidence of identification. Here we link metabarcoding from the ITS2 and LSU D1-D2 regions to characterise fungal communities associated with bark beetles (Scolytinae), the likely vectors of several tree pathogens. Both markers revealed similar patterns of overall species richness and response to key variables (beetle species, forest type), but identification against the respective reference databases using various taxonomic classifiers revealed poor resolution towards lower taxonomic levels, especially the species level. Thus, Operational Taxonomic Units (OTUs) could not be linked via taxonomic classifiers across ITS and LSU fragments. However, using phylogenetic trees (focused on the epidemiologically important Sordariomycetes) we placed OTUs obtained with either marker relative to reference sequences of the entire rRNA cistron that includes both loci and demonstrated the largely similar phylogenetic distribution of ITS and LSU-derived OTUs. Sensitivity analysis of congruence in both markers suggested the biologically most defensible threshold values for OTU delimitation in Sordariomycetes to be 98% for ITS2 and 99% for LSU D1-D2. Studies of fungal communities using the canonical ITS barcode require corroboration across additional loci. Phylogenetic analysis of OTU sequences aligned to the full rRNA cistron shows higher success rate and greater accuracy of species identification compared to probabilistic taxonomic classifiers.
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