Evidence map›Paper›PMID 41152006›Full record

ArticleMolecular biology and evolution2025

Classifying Convergences in the Light of Horizontal Gene Transfer: Epaktovars and Xenotypes.

James O McInerney

Abstract read
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 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. Convergence and parallelism in the evolution of plant metabolism.Journal of integrative plant biology · 2026
    Review
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

1 author.

James O McInerneyDepartment of Evolution, Ecology and Behaviour, University of Liverpool, Liverpool L69 3BX, United Kingdom.ORCID 0000-0003-1885-2503

Funding

Leverhulme Trust RF-2023-408
6 · The paper itself

Abstract

The classification of living systems presents significant challenges due to the prevalence of gene transfer between genomes. Traditional taxonomic systems have been designed to describe tree-like evolution and consequently struggle to accommodate network-like evolutionary patterns. In this perspective, I consolidate and clarify terminology for describing organisms whose evolutionary history has not been strictly tree-like. I introduce two complementary concepts: epaktovars, groups (≥2) of organisms exhibiting convergent phenotypes through independent acquisition of similar functions, whether via horizontal gene transfer (HGT) or independent evolution of analogous solutions, and xenotypes, organisms that share homologous genes acquired through HGT, regardless of whether these shared genes produce similar or different phenotypes. The epaktovar concept mirrors the previously established concept of epaktologs (independent assembly of similar protein domain architectures), while xenotypes extends the concept of xenologs (horizontally transferred homologous genes) to the genome level. Recent research on homoplastic patterns in pangenome evolution enhances our understanding of these phenomena. These concepts also have important applications in synthetic biology and de-extinction efforts, where genetically modified organisms and reconstructed extinct species can be understood as xenotypes and epaktovars of their genetic donors, providing a framework for classifying organisms whose genetic composition has been shaped by human intervention rather than natural evolutionary processes. These terms collectively provide a framework for describing both phenotypic convergence arising through any evolutionary mechanism and shared genetic material resulting specifically from gene transfer across diverse lineages.

Indexed as

Gene Transfer, HorizontalAnimalsBiological EvolutionEvolution, MolecularHumansPhylogeny

Identifiers

PMID41152006
PMCPMC12603686

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.