Resolving the Mortierellaceae phylogeny through synthesis of multi-gene phylogenetics and phylogenomics

Natalie Vandepol, Julian Liber, Alessandro Desirò, Hyunsoo Na, Megan Kennedy, Kerrie Barry, Igor V. Grigoriev, Andrew N. Miller, Kerry O’Donnell, Jason E. Stajich, Gregory Bonito

Research output: Contribution to journalArticlepeer-review

Abstract

Early efforts to classify Mortierellaceae were based on macro- and micromorphology, but sequencing and phylogenetic studies with ribosomal DNA (rDNA) markers have demonstrated conflicting taxonomic groupings and polyphyletic genera. Although some taxonomic confusion in the family has been clarified, rDNA data alone is unable to resolve higher level phylogenetic relationships within Mortierellaceae. In this study, we applied two parallel approaches to resolve the Mortierellaceae phylogeny: low coverage genome (LCG) sequencing and high-throughput, multiplexed targeted amplicon sequencing to generate sequence data for multi-gene phylogenetics. We then combined our datasets to provide a well-supported genome-based phylogeny having broad sampling depth from the amplicon dataset. Resolving the Mortierellaceae phylogeny into monophyletic genera resulted in 13 genera, 7 of which are newly proposed. Low-coverage genome sequencing proved to be a relatively cost-effective means of generating a high-confidence phylogeny. The multi-gene phylogenetics approach enabled much greater sampling depth and breadth than the LCG approach, but has limitations too. We present this work to resolve some of the taxonomic confusion and provide a genus-level framework to empower future studies on Mortierellaceae diversity and evolution.

Original languageEnglish (US)
Pages (from-to)267-289
Number of pages23
JournalFungal Diversity
Volume104
Issue number1
DOIs
StatePublished - Sep 2020

Keywords

  • Molecular systematics
  • Mortierellaceae
  • Multi-locus sequence typing
  • Phylogenomics
  • Taxonomy

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology

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