Evidence map›Paper›PMID 40485081›Full record

ArticleMolecular biology and evolution2025

Feature Architecture-Aware Ortholog Search With fDOG Reveals the Distribution of Plant Cell Wall-Degrading Enzymes Across Life.

Vinh Tran, Felix Langschied, Hannah Muelbaier, Julian Dosch, Freya Arthen, Miklos Balint, Ingo Ebersberger

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In one paragraph

Article in Molecular biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

7 authors.

Vinh TranApplied Bioinformatics Group, Inst. of Cell Biology and Neuroscience, Goethe University Frankfurt, Frankfurt am Main 60438, Germany.ORCID 0000-0001-6772-7595
Felix LangschiedApplied Bioinformatics Group, Inst. of Cell Biology and Neuroscience, Goethe University Frankfurt, Frankfurt am Main 60438, Germany.ORCID 0009-0004-3348-3130
Hannah MuelbaierApplied Bioinformatics Group, Inst. of Cell Biology and Neuroscience, Goethe University Frankfurt, Frankfurt am Main 60438, Germany.ORCID 0009-0009-4651-8650
Julian DoschApplied Bioinformatics Group, Inst. of Cell Biology and Neuroscience, Goethe University Frankfurt, Frankfurt am Main 60438, Germany.ORCID 0009-0001-4961-9483
Freya ArthenApplied Bioinformatics Group, Inst. of Cell Biology and Neuroscience, Goethe University Frankfurt, Frankfurt am Main 60438, Germany.ORCID 0009-0002-7448-2826
Miklos BalintLOEWE Centre for Translational Biodiversity Genomics (TBG), Frankfurt, Germany.ORCID 0000-0003-0499-8536
Ingo EbersbergerApplied Bioinformatics Group, Inst. of Cell Biology and Neuroscience, Goethe University Frankfurt, Frankfurt am Main 60438, Germany.ORCID 0000-0001-8187-9253

Funding

Alfons und Gertrud Kassel-StiftungLandes-Offensive zur Entwicklung Wissenschaftlich-ökonomischer ExzellenzResearch Center for Translational Biodiversity Genomics
6 · The paper itself

Abstract

The decomposition of plant material is a key driver of the global carbon cycle, traditionally attributed to fungi and bacteria. However, some invertebrates also possess orthologs to bacterial or fungal cellulolytic enzymes, likely acquired via horizontal gene transfer. This reticulated mode of evolution necessitates ortholog searches in large taxon sets to comprehensively map the repertoire of plant cell wall-degrading enzymes (PCDs) across the tree of life, a task surpassing capacities of current software. Here, we use fDOG, a novel profile-based ortholog search tool to trace 235 potential PCDs across more than 18,000 taxa. fDOG allows to start the ortholog search from a single protein sequence as a seed, it performs on par with state-of-the-art software that require the comparison of entire proteomes, and it is unique in routinely scoring protein feature architecture differences between the seed protein and its orthologs. Visualizing the presence-absence patterns of PCD orthologs using a Uniform Manifold Approximation and Projection highlights taxa where recent changes in the enzyme repertoire indicate a change in lifestyle. Three invertebrates have a particularly rich set of PCD orthologs encoded in their genome. Only few of the orthologs show differing protein feature architectures relative to the seed that suggest functional modifications. Thus, the corresponding species represent lineages within the invertebrates that may contribute to the global carbon cycle. This study shows how fDOG can be used to create a multi-scale view on the taxonomic distribution of a metabolic capacity that ranges from tree of life-wide surveys to individual feature architecture changes within a species.

Indexed as

Cell WallPhylogenyPlantsAnimalsGenome, PlantHumansMachine LearningPlant Physiological PhenomenaPlant ProteinsProteomeSeedsPlant ProteinsProteomecellulasecell wall degradationequivalogfeature architectureortholog searchorthologypectinasephylogenetic profile

Identifiers

PMID40485081
PMCPMC12198962

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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.