A meta-analysis of global fungal distribution reveals climate-driven patterns
The authors assemble and analyse previously generated mycobiome data linked to geographical locations across the world. They describe the distribution of fungal taxa and show that climate is an important driver of fungal biogeography and that fungal diversity appears to be concentrated at high latit...
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Nature Portfolio
2019
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oai:doaj.org-article:5ddd8a79f93b48e4b621c677e862ffb52021-12-02T14:39:41ZA meta-analysis of global fungal distribution reveals climate-driven patterns10.1038/s41467-019-13164-82041-1723https://doaj.org/article/5ddd8a79f93b48e4b621c677e862ffb52019-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13164-8https://doaj.org/toc/2041-1723The authors assemble and analyse previously generated mycobiome data linked to geographical locations across the world. They describe the distribution of fungal taxa and show that climate is an important driver of fungal biogeography and that fungal diversity appears to be concentrated at high latitudes.Tomáš VětrovskýPetr KohoutMartin KopeckýAntonin MachacMatěj ManBarbara Doreen BahnmannVendula BrabcováJinlyung ChoiLenka MeszárošováZander Rainier HumanClémentine LepinaySalvador LladóRubén López-MondéjarTijana MartinovićTereza MašínováDaniel MoraisDiana NavrátilováIñaki OdriozolaMartina ŠtursováKarel ŠvecVojtěch TláskalMichaela UrbanováJoe WanLucia ŽifčákováAdina HoweJoshua LadauKabir Gabriel PeayDavid StorchJan WildPetr BaldrianNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-9 (2019) |
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Science Q Tomáš Větrovský Petr Kohout Martin Kopecký Antonin Machac Matěj Man Barbara Doreen Bahnmann Vendula Brabcová Jinlyung Choi Lenka Meszárošová Zander Rainier Human Clémentine Lepinay Salvador Lladó Rubén López-Mondéjar Tijana Martinović Tereza Mašínová Daniel Morais Diana Navrátilová Iñaki Odriozola Martina Štursová Karel Švec Vojtěch Tláskal Michaela Urbanová Joe Wan Lucia Žifčáková Adina Howe Joshua Ladau Kabir Gabriel Peay David Storch Jan Wild Petr Baldrian A meta-analysis of global fungal distribution reveals climate-driven patterns |
description |
The authors assemble and analyse previously generated mycobiome data linked to geographical locations across the world. They describe the distribution of fungal taxa and show that climate is an important driver of fungal biogeography and that fungal diversity appears to be concentrated at high latitudes. |
format |
article |
author |
Tomáš Větrovský Petr Kohout Martin Kopecký Antonin Machac Matěj Man Barbara Doreen Bahnmann Vendula Brabcová Jinlyung Choi Lenka Meszárošová Zander Rainier Human Clémentine Lepinay Salvador Lladó Rubén López-Mondéjar Tijana Martinović Tereza Mašínová Daniel Morais Diana Navrátilová Iñaki Odriozola Martina Štursová Karel Švec Vojtěch Tláskal Michaela Urbanová Joe Wan Lucia Žifčáková Adina Howe Joshua Ladau Kabir Gabriel Peay David Storch Jan Wild Petr Baldrian |
author_facet |
Tomáš Větrovský Petr Kohout Martin Kopecký Antonin Machac Matěj Man Barbara Doreen Bahnmann Vendula Brabcová Jinlyung Choi Lenka Meszárošová Zander Rainier Human Clémentine Lepinay Salvador Lladó Rubén López-Mondéjar Tijana Martinović Tereza Mašínová Daniel Morais Diana Navrátilová Iñaki Odriozola Martina Štursová Karel Švec Vojtěch Tláskal Michaela Urbanová Joe Wan Lucia Žifčáková Adina Howe Joshua Ladau Kabir Gabriel Peay David Storch Jan Wild Petr Baldrian |
author_sort |
Tomáš Větrovský |
title |
A meta-analysis of global fungal distribution reveals climate-driven patterns |
title_short |
A meta-analysis of global fungal distribution reveals climate-driven patterns |
title_full |
A meta-analysis of global fungal distribution reveals climate-driven patterns |
title_fullStr |
A meta-analysis of global fungal distribution reveals climate-driven patterns |
title_full_unstemmed |
A meta-analysis of global fungal distribution reveals climate-driven patterns |
title_sort |
meta-analysis of global fungal distribution reveals climate-driven patterns |
publisher |
Nature Portfolio |
publishDate |
2019 |
url |
https://doaj.org/article/5ddd8a79f93b48e4b621c677e862ffb5 |
work_keys_str_mv |
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