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

Autor: Jana Voříšková, Camelia Algora, Lucia Žifčáková, Federica D'Alò, Tereza Michalová, Petr Baldrian, Lenka Meszárošová, Sarah Piché-Choquette, Karel Švec, Lukáš Vlk, Mayuko Jomura, Miroslav Kolařík, Jana Kvasničková, Tijana Martinović, Zander Rainier Human, Daniel Kumazawa Morais, Vendula Brabcová, Tereza Mašínová, Martina Štursová, Květa Bílohnědá, Lenka Michalčíková, Iñaki Odriozola, Barbara Doreen Bahnmann, Rubén López-Mondéjar, Sunil Mundra, Vojtěch Tláskal, Petr Kohout, Clémentine Lepinay, Tomáš Větrovský, Salvador Lladó, Diana Navrátilová, Michaela Urbanová, Sandra Awokunle Hollá
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Scientific Data
Scientific data, vol. 7, no. 228, 2020.
Scientific Data, Vol 7, Iss 1, Pp 1-14 (2020)
ISSN: 2052-4463
Popis: 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 https://globalfungi.com. 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.
Measurement(s) internal_transcribed_spacer_region Technology Type(s) digital curation Factor Type(s) geographic location • sample type • biome • sampling year Sample Characteristic - Organism Fungi Sample Characteristic - Environment terrestrial biome Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12481946
Databáze: OpenAIRE