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High-level classification of the Fungi and a tool for evolutionary ecological analyses.

Authors :
Tedersoo, Leho
Sánchez-Ramírez, Santiago
Kõljalg, Urmas
Bahram, Mohammad
Döring, Markus
Schigel, Dmitry
May, Tom
Ryberg, Martin
Abarenkov, Kessy
Source :
Fungal Diversity; May2018, Vol. 90 Issue 1, p135-159, 25p
Publication Year :
2018

Abstract

High-throughput sequencing studies generate vast amounts of taxonomic data. Evolutionary ecological hypotheses of the recovered taxa and Species Hypotheses are difficult to test due to problems with alignments and the lack of a phylogenetic backbone. We propose an updated phylum- and class-level fungal classification accounting for monophyly and divergence time so that the main taxonomic ranks are more informative. Based on phylogenies and divergence time estimates, we adopt phylum rank to Aphelidiomycota, Basidiobolomycota, Calcarisporiellomycota, Glomeromycota, Entomophthoromycota, Entorrhizomycota, Kickxellomycota, Monoblepharomycota, Mortierellomycota and Olpidiomycota. We accept nine subkingdoms to accommodate these 18 phyla. We consider the kingdom Nucleariae (phyla Nuclearida and Fonticulida) as a sister group to the Fungi. We also introduce a perl script and a newick-formatted classification backbone for assigning Species Hypotheses into a hierarchical taxonomic framework, using this or any other classification system. We provide an example of testing evolutionary ecological hypotheses based on a global soil fungal data set. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15602745
Volume :
90
Issue :
1
Database :
Complementary Index
Journal :
Fungal Diversity
Publication Type :
Academic Journal
Accession number :
130022111
Full Text :
https://doi.org/10.1007/s13225-018-0401-0