ArticleBiology open2026
What impact do new homologs have on detecting interdomain horizontal gene transfer in eukaryotes? A reassessment of Katz (2015).
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.
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.
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.
Who cites it
2 citing papers in PubMed.
- A machine learning framework for interpreting phylogenetic tree patterns in interkingdom horizontal gene transfer.Frontiers in bioinformatics · 2026Article
- Interkingdom horizontal gene transfer in plants: a perspective on methodological limitations and evolutionary alternatives.Frontiers in plant science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.