Evidence map›Paper›PMID 41848385›Full record

ArticleBiology open2026

What impact do new homologs have on detecting interdomain horizontal gene transfer in eukaryotes? A reassessment of Katz (2015).

Kevin Aguirre-Carvajal, Vinicio Armijos-Jaramillo

Abstract read
In one paragraph

Article in Biology open, 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

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Kevin Aguirre-CarvajalDepartment of Computer Science and Information Technologies, Faculty of Computer Science, CITIC Research Center of Information and Communication Technologies, University of A Coruña, Campus Elviña s/n, 15071 A Coruña, Spain.ORCID 0009-0004-5143-6856
Vinicio Armijos-JaramilloBio-Cheminformatics Research Group, Universidad de Las Américas, Quito 170513, Ecuador.ORCID 0000-0003-2965-2515

Funding

Universidad de Las Americas PRG.BIO.23.14.01Universidad de Las Américas Ecuador PRG.BIO.23.14.01
6 · The paper itself

Abstract

The role of interdomain horizontal gene transfer (iHGT) in eukaryotic genome evolution remains a subject of ongoing debate. Numerous studies have reported prokaryote-to-eukaryote transfer events, yet the extent to which these inferences are sensitive to taxon sampling and methodological choices remains unclear. In this study, we performed an independent phylogenetic analysis of the 1138 candidate genes previously proposed by Katz (2015), using updated homology searches, expanded taxon sampling, and different iHGT detection pipelines. Under the interpretative framework applied here, approximately 30% of candidates exhibited phylogenetic support for iHGT. The remaining candidates were classified as inconclusive, as their phylogenetic patterns were broader or ambiguous and compatible with alternative evolutionary scenarios, including cyanobacterial affinity consistent with endosymbiotic gene transfer, differential gene loss, incomplete lineage sorting, absent or limited donor representation. In many cases, the recovery of homologs from additional eukaryotic major clades transformed apparently lineage-restricted genes into multi-clade distributions, illustrating the strong influence of taxon sampling on iHGT inference. These findings underscore the sensitivity of horizontal gene transfer detection to database completeness, analytical thresholds, and evolutionary context. Rather than providing a definitive count of transfer events, this study highlights how expanding genomic resources and methodological choices shape interpretations of interdomain gene transfer in eukaryotes.

Indexed as

EukaryotaGene Transfer, HorizontalComputational BiologyEvolution, MolecularPhylogenyEukaryotesGenome evolutionInterdomain horizontal gene transferNew homologsPhylogeny

Identifiers

PMID41848385
PMCPMC13054926

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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.