Evidence map›Paper›PMID 40330995›Full record

ArticleEvolutionary applications2025

The CpG Landscape of Protein Coding DNA in Vertebrates.

Justin J S Wilcox, James Ord, Dennis Kappei, Toni I Gossmann

Abstract read
In one paragraph

Article in Evolutionary applications, 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. 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

4 authors.

Justin J S WilcoxComputational Systems Biology, Faculty of Biochemical and Chemical Engineering TU Dortmund University Dortmund Germany.ORCID https://orcid.org/0000-0001-6747-4508
James OrdOrganismal and Evolutionary Biology Research Program, Faculty of Biological and Environmental Sciences University of Helsinki Helsinki Finland.ORCID https://orcid.org/0000-0001-6870-8927
Dennis KappeiCancer Science Institute of Singapore National University of Singapore Singapore Singapore.ORCID https://orcid.org/0000-0002-3582-2253
Toni I GossmannComputational Systems Biology, Faculty of Biochemical and Chemical Engineering TU Dortmund University Dortmund Germany.ORCID https://orcid.org/0000-0001-6609-4116

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation has fundamental implications for vertebrate genome evolution by influencing the mutational landscape, particularly at CpG dinucleotides. Methylation-induced mutations drive a genome-wide depletion of CpG sites, creating a dinucleotide composition bias across the genome. Examination of the standard genetic code reveals CpG to be the only facultative dinucleotide; it is however unclear what specific implications CpG bias has on protein coding DNA. Here, we use theoretical considerations of the genetic code combined with empirical genome-wide analyses in six vertebrate species-human, mouse, chicken, great tit, frog, and stickleback-to investigate how CpG content is shaped and maintained in protein-coding genes. We show that protein-coding sequences consistently exhibit significantly higher CpG content than noncoding regions and demonstrate that CpG sites are enriched in genes involved in regulatory functions and stress responses, suggesting selective maintenance of CpG content in specific loci. These findings have important implications for evolutionary applications in both natural and managed populations: CpG content could serve as a genetic marker for assessing adaptive potential, while the identification of CpG-free codons provides a framework for genome optimization in breeding and synthetic biology. Our results underscore the intricate interplay between mutational biases, selection, and epigenetic regulation, offering new insights into how vertebrate genomes evolve under varying ecological and selective pressures.

Indexed as

base compositiondinucleotidesDNA methylationepigeneticsprotein coding DNA

Identifiers

PMID40330995
PMCPMC12050414

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.