Literature DB >> 28578827

A phylogenetic framework for the kingdom Fungi based on 18S rRNA gene sequences.

Pablo Yarza1, Pelin Yilmaz2, Katrin Panzer3, Frank Oliver Glöckner4, Marlis Reich5.   

Abstract

The usage of molecular phylogenetic approaches is critical to advance the understanding of systematics and community processes in the kingdom Fungi. Among the possible phylogenetic markers (or combinations of them), the 18S rRNA gene appears currently as the most prominent candidate due to its large availability in public databases and informative content. The purpose of this work was the creation of a reference phylogenetic framework that can serve as ready-to-use package for its application on fungal classification and community analysis. The current database contains 9329 representative 18S rRNA gene sequences covering the whole fungal kingdom, a manually curated alignment, an annotated and revised phylogenetic tree with all the sequence entries, updated information on current taxonomy, and recommendations of use. Out of 201 total fungal taxa with more than two sequences in the dataset, 179 were monophyletic. From another perspective, 66% of the entries had a tree-derived classification identical to that obtained from the NCBI taxonomy, whereas 34% differed in one or the other rank. Most of the differences were associated to missing taxonomic assignments in NCBI taxonomy, or the unexpected position of sequences that positioned out of their theoretically corresponding clades. The strong correlation observed with current fungal taxonomy evidences that 18S rRNA gene sequence-based phylogenies are adequate to reflect genealogy of Fungi at the levels of order and above, and justify their further usage and exploration.
Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Keywords:  Alignment; Community analysis; Fungi; Reference phylogenetic tree; SILVA; SSU

Mesh:

Substances:

Year:  2017        PMID: 28578827     DOI: 10.1016/j.margen.2017.05.009

Source DB:  PubMed          Journal:  Mar Genomics        ISSN: 1874-7787            Impact factor:   1.710


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