The UNITE database for molecular identification of fungi: handling dark taxa 
and parallel taxonomic classifications

Nilsson, Rolf Henrik; Larsson, Karl-Henrik; Taylor, Andy F. S.; Bengtsson-Palme, Johan; Jeppesen, Thomas S.; Schigel, Dmitry; Kennedy, Peter; Picard, Kathryn; Gloeckner, Frank Oliver; Tedersoo, Leho; Saar, Irja; Koljalg, Urmas; Abarenkov, Kessy

doi:10.1093/nar/gky1022

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The UNITE database for molecular identification of fungi: handling dark taxa and parallel taxonomic classifications

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Gloeckner, Frank Oliver
Microbial Genomics Group, Department of Molecular Ecology, Max Planck Institute for Marine Microbiology, Max Planck Society;

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Citation

Nilsson, R. H., Larsson, K.-H., Taylor, A. F. S., Bengtsson-Palme, J., Jeppesen, T. S., Schigel, D., et al. (2019). The UNITE database for molecular identification of fungi: handling dark taxa and parallel taxonomic classifications. Nucleic Acids Research (London), 47(D1), D259-D264. doi:10.1093/nar/gky1022.

Cite as: https://hdl.handle.net/21.11116/0000-0005-C22E-D

Abstract

UNITE (https://unite.ut.ee/) is a web-based database and sequence
management environment for the molecular identification of fungi. It
targets the formal fungal barcodethe nuclear ribosomal internal
transcribed spacer(ITS) regionand offers all approximate to 1 000000
public fungal ITS sequences for reference. These are clustered into
approximate to 459000 species hypotheses and assigned digital object
identifiers (DOIs) to promote unambiguous reference across studies.
In-house and web-based third-party sequence curation and annotation have
resulted in more than 275000 improvements to the data over the past 15
years. UNITE serves as a data provider for a range of metabarcoding
software pipelines and regularly exchanges data with all major fungal
sequence databases and other community resources. Recent improvements
include redesigned handling of unclassifiable species hypotheses,
integration with the taxonomic backbone of the Global Biodiversity
Information Facility, and support for an unlimited number of parallel
taxonomic classification systems.