Evidence map›Paper›PMID 41495041›Full record

ArticleNature communications2026

Impact of GC content on de novo gene birth.

Paul Roginski, Chris Papadopoulos, Simon Herman, Ambre Baumann, Antoine Grislain, Anne Lopes

Abstract read
In one paragraph

Article in Nature communications, 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. Emergence Biases in Molecular Evolution.Genome biology and evolution · 2026
    Review
  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

6 authors.

Paul RoginskiUniversité Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France.
Chris PapadopoulosUniversité Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0002-4034-3687
Simon HermanUniversité Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France.
Ambre BaumannUniversité Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France.
Antoine GrislainUniversité Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France.
Anne LopesUniversité Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France. anne.lopes@i2bc.paris-saclay.fr.ORCID http://orcid.org/0000-0003-0289-6608

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noncoding regions in eukaryotes are extensively expressed and represent a significant source of novel microproteins, some of which become fixed as de novo genes. However, the structural properties of these unevolved products and the features driving their fixation remain poorly understood. Particularly, the influence of nucleotide composition (GC content) on their structural properties and evolutionary trajectories is still unclear. Here, we predict the foldability and sequence properties of millions of microproteins potentially encoded in the noncoding open reading frames (ORFs) of 3,379 eukaryotic genomes with GC contents ranging from 18% to 79%. Depending on GC content, these microproteins exhibit distinct structural properties, suggesting different cellular impacts if non-genic regions are pervasively expressed. Using phylostratigraphy, de novo gene search, and ancestral sequence reconstruction, we trace the evolution of several hundred de novo proteins across 22 organisms with varying GC contents. We show that de novo genes preferentially emerge from GC-rich ORFs with folding potential, revealing that the interplay between GC content and foldability - rooted in the structure of the genetic code - shapes the emergence of novel genes.

Indexed as

Evolution, MolecularAnimalsBase CompositionEukaryotaGenomeHumansOpen Reading FramesPhylogenyProtein FoldingProteinsProteins

Identifiers

PMID41495041
PMCPMC12868653

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.