ArticleEcology and evolution2016
Metabarcoding of fungal communities associated with bark beetles.
Article in Ecology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- The shared performance of different COI regions increases the niche breadth detectable from bat guano eDNA.Genetics and molecular biology · 2026Article
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- Phytomycobiomes and Ecosystem Services: Mechanisms, Evidence and Routes to Application.Journal of fungi (Basel, Switzerland) · 2025Review
- A Reference DNA Barcode Library for UK Fungi associated with Bark and Ambrosia Beetles.Scientific data · 2025Article
- Comparative Endosymbiont Community Structures of Nonviruliferous and Rice Stripe Virus-ViruliferousViruses · 2025Article
- Pomegranate Woody Mycobiota Associated with Wood Decay.Journal of fungi (Basel, Switzerland) · 2025Article
- Article
- Article
- Next-Generation Sequencing and Its Impacts on Entomological Research in Ecology and Evolution.Neotropical entomology · 2021Review
- Seed Banks as Incidental Fungi Banks: Fungal Endophyte Diversity in Stored Seeds of Banana Wild Relatives.Frontiers in microbiology · 2021Article
- Endomycobiome associated with females of the planthopperHeliyon · 2020Article
- Unambiguous identification of fungi: where do we stand and how accurate and precise is fungal DNA barcoding?IMA fungus · 2020Article
- Epibiotic Fungal Communities of ThreeMicroorganisms · 2019Article
- Prospects and challenges of implementing DNA metabarcoding for high-throughput insect surveillance.GigaScience · 2019Review
- Acquisition of fungi from the environment modifies ambrosia beetle mycobiome during invasion.PeerJ · 2019Article
- Review
- Illumina sequencing and assessment of new cost-efficient protocol for metagenomic-DNA extraction from environmental water samples.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2018Article
- Detecting Symbioses in Complex Communities: the Fungal Symbionts of Bark and Ambrosia Beetles Within Asian Pines.Microbial ecology · 2018Article
- Assessment of Passive Traps Combined with High-Throughput Sequencing To Study Airborne Fungal Communities.Applied and environmental microbiology · 2018Article
- Ten reasons why a sequence-based nomenclature is not useful for fungi anytime soon.IMA fungus · 2018Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many species of fungi are closely allied with bark beetles, including many tree pathogens, but their species richness and patterns of distribution remain largely unknown. We established a protocol for metabarcoding of fungal communities directly from total genomic DNA extracted from individual beetles, showing that the ITS3/4 primer pair selectively amplifies the fungal ITS. Using three specimens of bark beetle from different species, we assess the fungal diversity associated with these specimens and the repeatability of these estimates in PCRs conducted with different primer tags. The combined replicates produced 727 fungal Operational Taxonomic Units (OTUs) for the specimen of Hylastes ater, 435 OTUs for Tomicus piniperda, and 294 OTUs for Trypodendron lineatum, while individual PCR reactions produced on average only 229, 54, and 31 OTUs for the three specimens, respectively. Yet, communities from PCR replicates were very similar in pairwise comparisons, in particular when considering species abundance, but differed greatly among the three beetle specimens. Different primer tags or the inclusion of amplicons in separate libraries did not impact the species composition. The ITS2 sequences were identified with the Lowest Common Ancestor approach and correspond to diverse lineages of fungi, including Ophiostomaceae and Leotiomycetes widely found to be tree pathogens. We conclude that Illumina MiSeq metabarcoding reliably captures fungal diversity associated with bark beetles, although numerous PCR replicates are recommended for an exhaustive sample. Direct PCR from beetle DNA extractions provides a rapid method for future surveys of fungal species diversity and their associations with bark beetles and environmental variables.
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