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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; Glöckner, Frank Oliver; Tedersoo, Leho; Saar, Irja; Kõljalg, Urmas; Abarenkov, Kessy.
Afiliação
  • Nilsson RH; University of Gothenburg, Department of Biological and Environmental Sciences, Gothenburg Global Biodiversity Centre, Box 461, 405 30 Gothenburg, Sweden.
  • Larsson KH; Natural History Museum, University of Oslo, P.O. Box 1172, Blindern, 0318 Oslo, Norway.
  • Taylor AFS; The James Hutton Institute and University of Aberdeen, Aberdeen, UK.
  • Bengtsson-Palme J; Wisconsin Institute for Discovery, University of Wisconsin-Madison, 330 North Orchard Street, Madison, WI 53715, USA.
  • Jeppesen TS; Centre for Antibiotic Resistance research (CARe) at University of Gothenburg, Gothenburg, Sweden.
  • Schigel D; Department of Infectious Diseases, Sahlgrenska Academy, University of Gothenburg, Guldhedsgatan 10, SE-413 46 Gothenburg, Sweden.
  • Kennedy P; Global Biodiversity Information Facility, Universitetsparken 15, DK-2100 Copenhagen Ø, Denmark.
  • Picard K; Global Biodiversity Information Facility, Universitetsparken 15, DK-2100 Copenhagen Ø, Denmark.
  • Glöckner FO; Department of Plant and Microbial Biology, University of Minnesota, 1479 Gortner Avenue, St. Paul, MN 55108, USA.
  • Tedersoo L; Department of Botany, National Museum of Natural History, Smithsonian Institution, Washington, DC 20013, USA.
  • Saar I; Jacobs University Bremen and MPI for Marine Microbiology, Celsiusstr. 1, D-28359 Bremen, Germany.
  • Kõljalg U; University of Tartu, Institute of Ecology and Earth Sciences, 40 Lai Street, 51005 Tartu, Estonia.
  • Abarenkov K; University of Tartu, Institute of Ecology and Earth Sciences, 40 Lai Street, 51005 Tartu, Estonia.
Nucleic Acids Res ; 47(D1): D259-D264, 2019 01 08.
Article em En | MEDLINE | ID: mdl-30371820
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 barcode-the nuclear ribosomal internal transcribed spacer (ITS) region-and offers all ∼1 000 000 public fungal ITS sequences for reference. These are clustered into ∼459 000 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 275 000 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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma Fúngico / Biologia Computacional / Genômica / Bases de Dados de Ácidos Nucleicos / Código de Barras de DNA Taxonômico / Fungos Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma Fúngico / Biologia Computacional / Genômica / Bases de Dados de Ácidos Nucleicos / Código de Barras de DNA Taxonômico / Fungos Idioma: En Ano de publicação: 2019 Tipo de documento: Article