Evidence map›Paper›PMID 31311498›Full record

ArticleBMC evolutionary biology2019

GC content of vertebrate exome landscapes reveal areas of accelerated protein evolution.

R Huttener, L Thorrez, T In't Veld, M Granvik, L Snoeck, L Van Lommel, F Schuit

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

7 authors.

R HuttenerGene Expression Unit, Dept of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
L ThorrezGene Expression Unit, Dept of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
T In't VeldGene Expression Unit, Dept of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
M GranvikGene Expression Unit, Dept of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
L SnoeckTissue Engineering Laboratory, Dept of Development and Regeneration, KU Leuven, Kortrijk, Belgium.
L Van LommelGene Expression Unit, Dept of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
F SchuitGene Expression Unit, Dept of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium. frans.schuit@kuleuven.be.ORCID 0000-0003-3225-6695

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid accumulation of vertebrate genome sequences render comparative genomics a powerful approach to study macro-evolutionary events. The assessment of phylogenic relationships between species routinely depends on the analysis of sequence homology at the nucleotide or protein level.

resultsWe analyzed mRNA GC content, codon usage and divergence of orthologous proteins in 55 vertebrate genomes. Data were visualized in genome-wide landscapes using a sliding window approach. Landscapes of GC content reveal both evolutionary conservation of clustered genes, and lineage-specific changes, so that it was possible to construct a phylogenetic tree that closely matched the classic "tree of life". Landscapes of GC content also strongly correlated to landscapes of amino acid usage: positive correlation with glycine, alanine, arginine and proline and negative correlation with phenylalanine, tyrosine, methionine, isoleucine, asparagine and lysine. Peaks of GC content correlated strongly with increased protein divergence.

conclusionsLandscapes of base- and amino acid composition of the coding genome opens a new approach in comparative genomics, allowing identification of discrete regions in which protein evolution accelerated over deep evolutionary time. Insight in the evolution of genome structure may spur novel studies assessing the evolutionary benefit of genes in particular genomic regions.

Indexed as

Evolution, MolecularAnimalsBase CompositionCodonExomeGenomeHumansMammalsPhylogenyProteinsReptilesRNA, MessengerVertebratesCodonProteinsRNA, MessengerAmino acid compositionComparative analysisExome landscapesGC biased gene conversionGC contentProtein evolutionVertebrates

Identifiers

PMID31311498
PMCPMC6636035

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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.