Evidence map›Paper›PMID 41553345›Full record

ArticleFEMS yeast research2026

The macroevolution of filamentation morphology across the Saccharomycotina yeast subphylum.

Christina M Chavez, Marie-Claire Harrison, Thodoris Danis, Marizeth Groenewald, Chris Todd Hittinger, Antonis Rokas

Abstract read
In one paragraph

Article in FEMS yeast research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 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
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Christina M ChavezDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.
Marie-Claire HarrisonDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.
Thodoris DanisDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.
Marizeth GroenewaldWesterdijk Fungal Biodiversity Institute, Utrecht, 3584, The Netherlands.
Chris Todd HittingerLaboratory of Genetics, DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, Center for Genomic Science Innovation, J.F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53726, USA.ORCID 0000-0001-5088-7461
Antonis RokasDepartment of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.ORCID 0000-0002-7248-6551

Funding

Deciphering the phenotypic and genomic traits that underlie the evolution of pathogenicity differences among Aspergillus fumigatus and its close relativesR01AI153356 · NIAID · VANDERBILT UNIVERSITY · PI Antonis Rokas · 2022 to 2026
$3.5M
Biological and Environmental Research DE-SC0018409Great Lakes Bioenergy Research CenterNational Institute of Food and AgricultureNational Science Foundation DEB-2110403National Science Foundation DEB-2110404NIAID NIH HHS R01 AI153356NIH HHSUnited States Department of Agriculture 7005101U.S. Department of Energy
6 · The paper itself

Abstract

Saccharomycotina is a subphylum of ascomycete fungi with diverse asexual growth morphologies. Filamentous growth can comprise linear and branched budding cells that do not undergo cell separation, termed pseudohyphae, or tubular filaments with septa that perforate allowing movement of organelles, termed true hyphae. We integrated phenotypic, genomic, metabolic, and environmental data on isolation sources from 1051 species to examine the variation and evolutionary history of filamentation across Saccharomycotina and determine whether these data could predict filamentation types. We found that 63.37% of strains can form filaments; 6.56% true hyphae, 42.40% pseudohyphae, and 14.39% both true hyphae and pseudohyphae. The distributions of species that can produce true hyphae or filament were more strongly correlated with the yeast phylogeny than the distribution of species with pseudohyphae. Ancestral state reconstruction suggested that true hyphal and pseudohyphal morphologies evolved several times, that most yeast ancestors likely produced pseudohyphae or lacked filaments, and that the Saccharomycotina last common ancestor likely produced pseudohyphae but not true hyphae. Machine learning models trained on genomic and metabolic features predicted filament morphologies with ∼70% accuracy. Connecting the evolution of morphologies to their genomic, physiological, and ecological characteristics will enrich our understanding of how the diversity of lifestyles evolved in Saccharomycotina.

Indexed as

AscomycotaBiological EvolutionEvolution, MolecularMachine LearningPhylogenyRandom Forestancestral state reconstructionconvergent evolutionevolutionary cell biologyhyphaemachine learningpseudohyphaeSaccharomycotina

Identifiers

PMID41553345
PMCPMC12878333

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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.