Evidence map›Paper›PMID 33148650›Full record

ArticleScience advances2020

Genome-scale phylogeny and contrasting modes of genome evolution in the fungal phylum Ascomycota.

Xing-Xing Shen, Jacob L Steenwyk, Abigail L LaBella, Dana A Opulente, Xiaofan Zhou, Jacek Kominek, Yuanning Li, Marizeth Groenewald, Chris T Hittinger, Antonis Rokas

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed
–field-weighted citation impact
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

85 citing papers in PubMed.

  1. The Origin and Early Evolution of Fungi: Challenges, Inferences, and Principles.Annual review of cell and developmental biology · 2026
    Review
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25 more citing papers are in PubMed but not listed here.

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

10 authors.

Xing-Xing ShenInstitute of Insect Sciences, Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China. xingxingshen@zju.edu.cn antonis.rokas@vanderbilt.edu.ORCID 0000-0001-5765-1419
Jacob L SteenwykDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.ORCID 0000-0002-8436-595X
Abigail L LaBellaDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.ORCID 0000-0003-0068-6703
Dana A OpulenteLaboratory of Genetics, Wisconsin Energy Institute, Center for Genomic Science Innovation, DOE Great Lakes Bioenergy Research Center, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0003-3224-7510
Xiaofan ZhouGuangdong Laboratory for Lingnan Modern Agriculture, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou 510642, China.
Jacek KominekLaboratory of Genetics, Wisconsin Energy Institute, Center for Genomic Science Innovation, DOE Great Lakes Bioenergy Research Center, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0002-1916-0122
Yuanning LiDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.ORCID 0000-0002-2206-5804
Marizeth GroenewaldWesterdijk Fungal Biodiversity Institute, 3584 CT, Netherlands.ORCID 0000-0003-0835-5925
Chris T HittingerLaboratory of Genetics, Wisconsin Energy Institute, Center for Genomic Science Innovation, DOE Great Lakes Bioenergy Research Center, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0001-5088-7461
Antonis RokasDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA. xingxingshen@zju.edu.cn antonis.rokas@vanderbilt.edu.ORCID 0000-0002-7248-6551

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Ascomycota, the largest and most well-studied phylum of fungi, contains three subphyla: Saccharomycotina (budding yeasts), Pezizomycotina (filamentous fungi), and Taphrinomycotina (fission yeasts). Despite its importance, we lack a comprehensive genome-scale phylogeny or understanding of the similarities and differences in the mode of genome evolution within this phylum. By examining 1107 genomes from Saccharomycotina (332), Pezizomycotina (761), and Taphrinomycotina (14) species, we inferred a robust genome-wide phylogeny that resolves several contentious relationships and estimated that the Ascomycota last common ancestor likely originated in the Ediacaran period. Comparisons of genomic properties revealed that Saccharomycotina and Pezizomycotina differ greatly in their genome properties and enabled inference of the direction of evolutionary change. The Saccharomycotina typically have smaller genomes, lower guanine-cytosine contents, lower numbers of genes, and higher rates of molecular sequence evolution compared with Pezizomycotina. These results provide a robust evolutionary framework for understanding the diversity and ecological lifestyles of the largest fungal phylum.

Indexed as

AscomycotaSchizosaccharomycesEvolution, MolecularGenome, FungalGenomicsPhylogeny

Identifiers

PMID33148650
PMCPMC7673691

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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.