Evidence map›Paper›PMID 40813247›Full record

ArticleGenome research2025

Unveiling the functional fate of duplicated genes through expression profiling and structural analysis.

Alex Warwick Vesztrocy, Natasha Glover, Paul D Thomas, Christophe Dessimoz, Irene Julca

Abstract read
In one paragraph

Article in Genome research, 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

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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. Divergent evolution of the PRPS enzymes across the tree of life.bioRxiv : the preprint server for biology · 2026
    Article
  2. 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

5 authors.

Alex Warwick VesztrocySIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
Natasha GloverSIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
Paul D ThomasDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California 90033, USA.
Christophe DessimozSIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
Irene JulcaSIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland; irene.julca@unil.ch.ORCID 0000-0002-1332-7948

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene duplication is a major evolutionary source of functional innovation. Following duplication events, gene copies (paralogs) may undergo various fates, including retention with functional modifications (such as subfunctionalization or neofunctionalization) or loss. When paralogs are retained, this results in complex orthology relationships, including one-to-many or many-to-many. In such cases, determining which one-to-one pair is more likely to have conserved functions can be challenging. It has been proposed that, following gene duplication, the copy that diverges more slowly in sequence is more likely to maintain the ancestral function-referred to here as "the least diverged ortholog (LDO) conjecture." This study explores this conjecture, using a novel method to identify asymmetric evolution of paralogs and applying it to all gene families across the Tree of Life in the PANTHER database. Structural data for over 1 million proteins and expression data for 16 animals and 20 plants are used to investigate functional divergence following duplication. This analysis, the most comprehensive to date, reveals that, whereas the majority of paralogs display similar rates of sequence evolution, significant differences in branch lengths following gene duplication can be correlated with functional divergence. Overall, the results support the least diverged ortholog conjecture, suggesting that the least diverged ortholog tends to retain the ancestral function, whereas the most diverged ortholog (MDO) may acquire a new, potentially specialized role.

Indexed as

Evolution, MolecularGene DuplicationGene Expression ProfilingGenes, DuplicateAnimalsHumansPhylogeny

Identifiers

PMID40813247
PMCPMC12487826

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.