Skip to main content
SLU publication database (SLUpub)
Research article - Peer-reviewed, 2021

In-depth Phylogenomic Analysis of Arbuscular Mycorrhizal Fungi Based on a Comprehensive Set of de novo Genome Assemblies

Montoliu-Nerin, Merce; Sanchez-Garcia, Marisol; Bergin, Claudia; Kutschera, Verena Esther; Johannesson, Hanna; Bever, James D.; Rosling, Anna

Abstract

Morphological characters and nuclear ribosomal DNA (rDNA) phylogenies have so far been the basis of the current classifications of arbuscular mycorrhizal (AM) fungi. Improved understanding of the evolutionary history of AM fungi requires extensive ortholog sampling and analyses of genome and transcriptome data from a wide range of taxa. To circumvent the need for axenic culturing of AM fungi we gathered and combined genomic data from single nuclei to generate de novo genome assemblies covering seven families of AM fungi. We successfully sequenced the genomes of 15 AM fungal species for which genome data was not previously available. Comparative analysis of the previously published Rhizophagus irregularis DAOM197198 assembly confirm that our novel workflow generates genome assemblies suitable for phylogenomic analysis. Predicted genes of our assemblies, together with published protein sequences of AM fungi and their sister clades, were used for phylogenomic analyses. We evaluated the phylogenetic placement of Glomeromycota in relation to its sister phyla (Mucoromycota and Mortierellomycota), and found no support to reject a polytomy. Finally, we explored the phylogenetic relationships within Glomeromycota. Our results support family level classification from previous phylogenetic studies, and the polyphyly of the order Glomerales with Claroideoglomeraceae as the sister group to Glomeraceae and Diversisporales.

Keywords

genomics; phylogenetic; single nuclei sequencing; topology; Glomeromycota

Published in

Frontiers in fungal biology
2021, Volume: 2, article number: 716385

    UKÄ Subject classification

    Evolutionary Biology
    Biological Systematics

    Publication identifier

    DOI: https://doi.org/10.3389/ffunb.2021.716385

    Permanent link to this page (URI)

    https://res.slu.se/id/publ/115524