Evidence map›Paper›PMID 36228036›Full record

ArticlePLoS biology2022

OrthoSNAP: A tree splitting and pruning algorithm for retrieving single-copy orthologs from gene family trees.

Jacob L Steenwyk, Dayna C Goltz, Thomas J Buida, Yuanning Li, Xing-Xing Shen, Antonis Rokas

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2022. 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
2.9field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 35 citations in OpenAlex.

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  5. Phylogenomics of the tetraploid Hawaiian lobeliads: Implications for their origin, dispersal history, and adaptive radiation.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  15. Incongruence in the phylogenomics era.Nature reviews. Genetics · 2023
    Review
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  17. Diverse signatures of convergent evolution in cacti-associated yeasts.bioRxiv : the preprint server for biology · 2023
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  19. CryptoCEN: A Co-Expression Network forbioRxiv : the preprint server for biology · 2023
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors at 3 institutions in 3 countries.

Jacob L SteenwykVanderbilt University, Department of Biological Sciences, Nashville, Tennessee, United States of America.ORCID 0000-0002-8436-595X
Dayna C GoltzIndependent Researcher, Nashville, Tennessee, United States of America.
Thomas J BuidaIndependent Researcher, Nashville, Tennessee, United States of America.
Yuanning LiVanderbilt University, Department of Biological Sciences, Nashville, Tennessee, United States of America.
Xing-Xing ShenMinistry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Sciences, Zhejiang University, Hangzhou, China.
Antonis RokasVanderbilt University, Department of Biological Sciences, Nashville, Tennessee, United States of America.ORCID 0000-0002-7248-6551
Vanderbilt University · USShandong University · CNZhejiang University · CN

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
Deciphering the phenotypic and genomic traits that underlie the evolution of pathogenicity differences among Aspergillus fumigatus and its close relativesR56AI146096 · NIAID · VANDERBILT UNIVERSITY · PI ROKAS, ANTONIS · 2020 to 2020
$592k
NIAID NIH HHS R01 AI153356NIAID NIH HHS R56 AI146096
6 · The paper itself

Abstract

Molecular evolution studies, such as phylogenomic studies and genome-wide surveys of selection, often rely on gene families of single-copy orthologs (SC-OGs). Large gene families with multiple homologs in 1 or more species-a phenomenon observed among several important families of genes such as transporters and transcription factors-are often ignored because identifying and retrieving SC-OGs nested within them is challenging. To address this issue and increase the number of markers used in molecular evolution studies, we developed OrthoSNAP, a software that uses a phylogenetic framework to simultaneously split gene families into SC-OGs and prune species-specific inparalogs. We term SC-OGs identified by OrthoSNAP as SNAP-OGs because they are identified using a splitting and pruning procedure analogous to snapping branches on a tree. From 415,129 orthologous groups of genes inferred across 7 eukaryotic phylogenomic datasets, we identified 9,821 SC-OGs; using OrthoSNAP on the remaining 405,308 orthologous groups of genes, we identified an additional 10,704 SNAP-OGs. Comparison of SNAP-OGs and SC-OGs revealed that their phylogenetic information content was similar, even in complex datasets that contain a whole-genome duplication, complex patterns of duplication and loss, transcriptome data where each gene typically has multiple transcripts, and contentious branches in the tree of life. OrthoSNAP is useful for increasing the number of markers used in molecular evolution data matrices, a critical step for robustly inferring and exploring the tree of life.

Indexed as

AlgorithmsEvolution, MolecularPedigreePhylogenyTranscription FactorsTranscription Factors

Identifiers

PMID36228036
PMCPMC9595520
OpenAlexW4305082786

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LicenceCC BY
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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.