Evidence map›Paper›PMID 33364917›Full record

ArticleFungal diversity2020

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 and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Fungal diversity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
5.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 117 citations in OpenAlex.

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  17. Poplar: a phylogenomics pipeline.Bioinformatics advances · 2025
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  18. Ant's Nest as a microenvironment: DistinctEcology and evolution · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Natalie VandepolDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing MI 48824, USA.
Julian LiberDepartment of Plant Biology, Michigan State University, East Lansing MI 48824, USA.
Alessandro DesiròDepartment of Plant Soil and Microbial Sciences, Michigan State University, East Lansing MI 48824, USA.
Hyunsoo NaJoint Genome Institute, Berkeley, CA 94720, USA.
Megan KennedyJoint Genome Institute, Berkeley, CA 94720, USA.
Kerrie BarryJoint Genome Institute, Berkeley, CA 94720, USA.
Igor V GrigorievJoint Genome Institute, Berkeley, CA 94720, USA.
Andrew N MillerIllinois Natural History Survey, University of Illinois Urbana-Champaign, Champaign, IL 61820, USA.
Kerry O'DonnellUnited States Department of Agriculture, Agricultural Research Service, Peoria, IL 61604, USA.
Jason E StajichDepartment of Microbiology and Plant Pathology & Institute for Integrative Genome Biology, University of California-Riverside, Riverside CA 92521, USA.
Gregory BonitoDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing MI 48824, USA.
Joint Genome Institute · USMichigan State University · USAgricultural Research Service · USUniversity of California, Riverside · USUniversity of Illinois Urbana-Champaign · US

Funding

Acquisition of a Scalable Storage Cluster for Data Intensive NIH ResearchS10OD016290 · OD · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI GIRKE, THOMAS · 2014 to 2014
$593k
NIH HHS S10 OD016290
6 · The paper itself

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 groups led to the definition of 14 genera, 7 of which are newly proposed. Low-coverage genome sequencing proved to be a relatively cost-effective means of generating a well-resolved phylogeny. The multi-gene phylogenetics approach enabled much greater sampling depth and breadth than the LCG approach, but was unable to resolve higher-level organization of groups. We present this work to resolve some of the taxonomic confusion and provide a genus-level framework to empower future studies on Mortierellaceae diversity, biology, and evolution.

Identifiers

PMID33364917
PMCPMC7751987
OpenAlexW3087865437

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.