Evidence map›Paper›PMID 20530252›Full record

ArticleGenome research2010

Contrasting GC-content dynamics across 33 mammalian genomes: relationship with life-history traits and chromosome sizes.

Jonathan Romiguier, Vincent Ranwez, Emmanuel J P Douzery, Nicolas Galtier

Abstract read
In one paragraph

Article in Genome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 1 pooled it
–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

116 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Insight into crRNA Processing inInternational journal of molecular sciences · 2025
    Article
  11. The GC% landscape of the Nucleocytoviricota.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
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  18. Genome Evolution and the Future of Phylogenomics of Non-Avian Reptiles.Animals : an open access journal from MDPI · 2023
    Review
  19. Article
  20. Article

56 more citing papers are in PubMed but not listed here.

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.

Jonathan RomiguierUniversité Montpellier 2, CNRS UMR 5554-Institut des Sciences de l'Evolution, 34095 Montpellier, France.
Vincent Ranwez
Emmanuel J P Douzery
Nicolas Galtier

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The origin, evolution, and functional relevance of genomic variations in GC content are a long-debated topic, especially in mammals. Most of the existing literature, however, has focused on a small number of model species and/or limited sequence data sets. We analyzed more than 1000 orthologous genes in 33 fully sequenced mammalian genomes, reconstructed their ancestral isochore organization in the maximum likelihood framework, and explored the evolution of third-codon position GC content in representatives of 16 orders and 27 families. We showed that the previously reported erosion of GC-rich isochores is not a general trend. Several species (e.g., shrew, microbat, tenrec, rabbit) have independently undergone a marked increase in GC content, with a widening gap between the GC-poorest and GC-richest classes of genes. The intensively studied apes and (especially) murids do not reflect the general placental pattern. We correlated GC-content evolution with species life-history traits and cytology. Significant effects of body mass and genome size were detected, with each being consistent with the GC-biased gene conversion model.

Indexed as

Evolution, MolecularGenomePhylogenyAnimalsBase CompositionBase SequenceChromosomes, MammalianGenomicsIsochoresSequence AlignmentIsochores

Identifiers

PMID20530252
PMCPMC2909565

What OpenQuestion holds

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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.