Evidence map›Paper›PMID 39283949›Full record

ArticlePLoS biology2024

A taxon-rich and genome-scale phylogeny of Opisthokonta.

Hongyue Liu, Jacob L Steenwyk, Xiaofan Zhou, Darrin T Schultz, Kevin M Kocot, Xing-Xing Shen, Antonis Rokas, Yuanning Li

Abstract read
In one paragraph

Article in PLoS biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  3. The Origin and Early Evolution of Fungi: Challenges, Inferences, and Principles.Annual review of cell and developmental biology · 2026
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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

8 authors.

Hongyue LiuInstitute of Marine Science and Technology, Shandong University, Qingdao, China.ORCID 0000-0002-4058-4990
Jacob L SteenwykHowards Hughes Medical Institute and the Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, California, United States of America.
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, China.
Darrin T SchultzDepartment of Neuroscience and Developmental Biology, University of Vienna, Vienna, Austria.
Kevin M KocotUniversity of Alabama, Department of Biological Sciences & Alabama Museum of Natural History, Tuscaloosa, Alabama, United States of America.
Xing-Xing ShenInstitute of Insect Sciences and Centre for Evolutionary and Organismal Biology, Zhejiang University, Hangzhou, China.
Antonis RokasDepartment of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America.ORCID 0000-0002-7248-6551
Yuanning LiInstitute of Marine Science and Technology, Shandong University, Qingdao, China.ORCID 0000-0002-2206-5804

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
NIAID NIH HHS R01 AI153356
6 · The paper itself

Abstract

Ancient divergences within Opisthokonta-a major lineage that includes organisms in the kingdoms Animalia, Fungi, and their unicellular relatives-remain contentious. To assess progress toward a genome-scale Opisthokonta phylogeny, we conducted the most taxon rich phylogenomic analysis using sets of genes inferred with different orthology inference methods and established the geological timeline of Opisthokonta diversification. We also conducted sensitivity analysis by subsampling genes or taxa from the full data matrix based on filtering criteria previously shown to improve phylogenomic inference. We found that approximately 85% of internal branches were congruent across data matrices and the approaches used. Notably, the use of different orthology inference methods was a substantial contributor to the observed incongruence: analyses using the same set of orthologs showed high congruence of 97% to 98%, whereas different sets of orthologs resulted in somewhat lower congruence (87% to 91%). Examination of unicellular Holozoa relationships suggests that the instability observed across varying gene sets may stem from weak phylogenetic signals. Our results provide a comprehensive Opisthokonta phylogenomic framework that will be useful for illuminating ancient evolutionary episodes concerning the origin and diversification of the 2 major eukaryotic kingdoms and emphasize the importance of investigating effects of orthology inference on phylogenetic analyses to resolve ancient divergences.

Indexed as

GenomePhylogenyAnimalsEvolution, MolecularFungiGenomics

Identifiers

PMID39283949
PMCPMC11426530

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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.