Evidence map›Paper›PMID 40491971›Full record

ArticleNAR genomics and bioinformatics2025

Evolutionary perspective of the CAG/CAA interplay coding for pure polyglutamine stretches in proteins.

Antonio Moreno-Rodríguez, Antonio J Pérez-Pulido, Pablo Mier

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Antonio Moreno-RodríguezAndalusian Centre for Developmental Biology (CABD, UPO-CSIC-JA), Faculty of Experimental Sciences (Genetics Area), Universidad Pablo de Olavide, 41013 Seville, Spain.ORCID https://orcid.org/0000-0002-4053-1426
Antonio J Pérez-PulidoAndalusian Centre for Developmental Biology (CABD, UPO-CSIC-JA), Faculty of Experimental Sciences (Genetics Area), Universidad Pablo de Olavide, 41013 Seville, Spain.ORCID https://orcid.org/0000-0003-3343-2822
Pablo MierAndalusian Centre for Developmental Biology (CABD, UPO-CSIC-JA), Faculty of Experimental Sciences (Genetics Area), Universidad Pablo de Olavide, 41013 Seville, Spain.ORCID https://orcid.org/0000-0003-3663-2352

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polyglutamine regions appear in many eukaryotic proteins. Most research on these stretches has focused on humans and primates. We wanted to check whether patterns in their codon usage are shared across a wide taxonomic range. Protein-coding transcripts from 30 eukaryotic model species were searched for stretches of consecutive glutamine codons (CAA/CAG). Most species have higher CAG proportion in longer stretches, except fishes, which either reduced or kept a stable CAG use. CAA codons are located closer to the C-terminal side of the stretches in plants, invertebrates, and tetrapods; fungi showed no bias and fishes showed the opposite. Many tetrapods have codons flanking pure CAG stretches that hint at a mutational control of repeat growth. However, the maximum number of consecutive identical codons within the polyglutamine stretches in most species followed random expectations, with fishes as a main exception. We detected shared patterns in codon usage and position across taxonomically distant species, yet each group retained unique traits. Internal CAA position and external flanking codons both seemed to slow pure CAG expansion. Overall, a mix of random processes and species-specific factors drives how glutamine repeats are shaped and maintained in evolution.

Indexed as

Evolution, MolecularPeptidesProteinsAnimalsCodonCodon UsageHumansCodonPeptidespolyglutamineProteins

Identifiers

PMID40491971
PMCPMC12147016

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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.