ArticleScientific data2025
A Reference DNA Barcode Library for UK Fungi associated with Bark and Ambrosia Beetles.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Article
- A Reference DNA Barcode Library for UK Fungi associated with Bark and Ambrosia Beetles.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Bark and ambrosia beetles are ecologically important and widespread forest organisms. While flying between host plants and tunnelling into bark, they vector a high diversity of plant and insect-associated fungi within and between forests. These fungal communities live under the bark and rarely produce visible spore-bearing structures, making them difficult to sample and identify at scale. By combining passive insect trapping across the United Kingdom with individual beetle metabarcoding, we generated a reference DNA barcode library for fungi associated with over 1000 beetles, representing 25 native weevil species in the subfamily Scolytinae (Curculionidae). Sampling sites span longitudinal and latitudinal gradients, multiple forest types, and both natural and plantation forests. We use state-of-the-art fungal ITS2 OTU clustering and identification, resulting in 5274 identified fungal OTUs. This fungal diversity data can be used alongside extensive site and sample metadata to explore geographic and ecological biodiversity patterns. As these associations can be highly invasive and damaging, this resource provides a baseline to understand current fungal communities and monitor future changes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.