Evidence map›Paper›PMID 23833164›Full record

ArticleGenome biology and evolution2013

Cross-species analysis of genic GC3 content and DNA methylation patterns.

Tatiana Tatarinova, Eran Elhaik, Matteo Pellegrini

Abstract read
In one paragraph

Article in Genome biology and evolution, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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  15. The whale shark genome reveals how genomic and physiological properties scale with body size.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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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.

Tatiana TatarinovaLaboratory of Applied Pharmacokinetics and Bioinformatics, University of Southern California. tatiana.tatarinova@usc.edu
Eran Elhaik
Matteo Pellegrini

Funding

PSYCHIATRIC EPIDEMIOLOGY TRAINING PROGRAMT32MH014592 · NIMH · JOHNS HOPKINS UNIVERSITY · PI HEATHER E VOLK, Peter P. Zandi · 1985 to 2026
$8.5M
Populaton Pharmacokinetic Modeling and Optimal ControlR01GM068968 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NEELY, MICHAEL N. · 2003 to 2015
$3.9M
Mechanisms of Hypothermic Neuroprotection in NeonatesR01HD070996 · NICHD · JOHNS HOPKINS UNIVERSITY · PI NORTHINGTON, FRANCES J · 2012 to 2016
$1.7M
NICHD NIH HHS HD070996NICHD NIH HHS R01 HD070996NIGMS NIH HHS GM068968NIGMS NIH HHS R01 GM068968NIMH NIH HHS T32 MH014592NIMH NIH HHS T32MH014592
6 · The paper itself

Abstract

The GC content in the third codon position (GC(3)) exhibits a unimodal distribution in many plant and animal genomes. Interestingly, grasses and homeotherm vertebrates exhibit a unique bimodal distribution. High GC(3) was previously found to be associated with variable expression, higher frequency of upstream TATA boxes, and an increase of GC(3) from 5' to 3'. Moreover, GC(3)-rich genes are predominant in certain gene classes and are enriched in CpG dinucleotides that are potential targets for methylation. Based on the GC(3) bimodal distribution we hypothesize that GC(3) has a regulatory role involving methylation and gene expression. To test that hypothesis, we selected diverse taxa (rice, thale cress, bee, and human) that varied in the modality of their GC(3) distribution and tested the association between GC(3), DNA methylation, and gene expression. We examine the relationship between cytosine methylation levels and GC(3), gene expression, genome signature, gene length, and other gene compositional features. We find a strong negative correlation (Pearson's correlation coefficient r = -0.67, P value < 0.0001) between GC(3) and genic CpG methylation. The comparison between 5'-3' gradients of CG(3)-skew and genic methylation for the taxa in the study suggests interplay between gene-body methylation and transcription-coupled cytosine deamination effect. Compositional features are correlated with methylation levels of genes in rice, thale cress, human, bee, and fruit fly (which acts as an unmethylated control). These patterns allow us to generate evolutionary hypotheses about the relationships between GC(3) and methylation and how these affect expression patterns. Specifically, we propose that the opposite effects of methylation and compositional gradients along coding regions of GC(3)-poor and GC(3)-rich genes are the products of several competing processes.

Indexed as

DNA MethylationEvolution, MolecularAnimalsArabidopsisBase CompositionBeesDrosophila melanogasterGene ExpressionGenes, PlantHumansModels, GeneticOryzaPlantsSpecies SpecificityApis melliferaArabidopsis thalianaDNA methylationGC3gene expressiongrasseshomeothermsHomo sapiensOryza sativa

Identifiers

PMID23833164
PMCPMC3762193

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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.