GlobalFungi, a global database of fungal occurrences from high-throughput-sequencing metabarcoding studies

Tomáš Větrovský, Daniel Morais, Petr Kohout, Clémentine Lepinay, Camelia Algora, Sandra Awokunle Hollá, Barbara Doreen Bahnmann, Květa Bílohnědá, Vendula Brabcová, Federica D’Alò, Zander Rainier Human, Mayuko Jomura, Miroslav Kolařík, Jana Kvasničková, Salvador Lladó, Rubén López-Mondéjar, Tijana Martinović, Tereza Mašínová, Lenka Meszárošová, Lenka MichalčíkováTereza Michalová, Sunil Mundra, Diana Navrátilová, Iñaki Odriozola, Sarah Piché-Choquette, Martina Štursová, Karel Švec, Vojtěch Tláskal, Michaela Urbanová, Lukáš Vlk, Jana Voříšková, Lucia Žifčáková, Petr Baldrian

Research output: Contribution to journalArticlepeer-review

115 Citations (Scopus)


Fungi are key players in vital ecosystem services, spanning carbon cycling, decomposition, symbiotic associations with cultivated and wild plants and pathogenicity. The high importance of fungi in ecosystem processes contrasts with the incompleteness of our understanding of the patterns of fungal biogeography and the environmental factors that drive those patterns. To reduce this gap of knowledge, we collected and validated data published on the composition of soil fungal communities in terrestrial environments including soil and plant-associated habitats and made them publicly accessible through a user interface at The GlobalFungi database contains over 600 million observations of fungal sequences across > 17 000 samples with geographical locations and additional metadata contained in 178 original studies with millions of unique nucleotide sequences (sequence variants) of the fungal internal transcribed spacers (ITS) 1 and 2 representing fungal species and genera. The study represents the most comprehensive atlas of global fungal distribution, and it is framed in such a way that third-party data addition is possible.

Original languageEnglish
Article number228
JournalScientific data
Issue number1
Publication statusPublished - Dec 1 2020

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences


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