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


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
11 2020
Historique:
received: 26 05 2020
accepted: 21 09 2020
entrez: 5 11 2020
pubmed: 6 11 2020
medline: 15 4 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33148650
pii: 6/45/eabd0079
doi: 10.1126/sciadv.abd0079
pmc: PMC7673691
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Howard Hughes Medical Institute
Pays : United States

Informations de copyright

Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

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Auteurs

Xing-Xing Shen (XX)

Institute 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.

Jacob L Steenwyk (JL)

Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.

Abigail L LaBella (AL)

Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.

Dana A Opulente (DA)

Laboratory 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.

Xiaofan Zhou (X)

Guangdong 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 Kominek (J)

Laboratory 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.

Yuanning Li (Y)

Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.

Marizeth Groenewald (M)

Westerdijk Fungal Biodiversity Institute, 3584 CT, Netherlands.

Chris T Hittinger (CT)

Laboratory 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.

Antonis Rokas (A)

Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA. xingxingshen@zju.edu.cn antonis.rokas@vanderbilt.edu.

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Classifications MeSH