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Title:GlobalFungi, a global database of fungal occurrences from high-throughput-sequencing metabarcoding studies
Authors:Větrovský, Tomáš (Author)
Morais, Daniel (Author)
Kohout, Petr (Author)
Lepinay, Clémentine (Author)
Algora, Camelia (Author)
Awokunle Hollá, Sandra (Author)
Bahnmann, Barbara Doreen (Author)
Bílohnědá, Květa (Author)
Brabcová, Vendula (Author)
DʹAlò, Federica (Author)
Martinović, Tijana (Author)
Language:English
Tipology:1.01 - Original Scientific Article
Organisation:Logo SciVie - Slovenian Forestry Institute
Abstract: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.
Keywords:fungi, database, metabarcoading
Year of publishing:2020
COBISS_ID:83460355 Link is opened in a new window
UDC:630*17
ISSN on article:2052-4463
DOI:10.1038/s41597-020-0567-7 Link is opened in a new window
Note:Nasl. z nasl. zaslona; Opis vira z dne 4. 11. 2021;
Views:213
Downloads:167
Files:.pdf PDF - Presentation file, download (2,17 MB)
URL URL - Source URL, visit https://doi.org/10.1038/s41597-020-0567-7
 
Journal:Scientific data
Nature Publishing Group
 
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Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:03.01.2022

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