Evidence map›Paper›PMID 17298171›Full record

ArticlePLoS biology2007

Splicing and the evolution of proteins in mammals.

Joanna L Parmley, Araxi O Urrutia, Lukasz Potrzebowski, Henrik Kaessmann, Laurence D Hurst

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
5.2field-weighted citation impact, top 4% of its field
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

62 citing papers in PubMed, 108 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Intermixing theGenes · 2021
    Review
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  6. Cancer, Retrogenes, and Evolution.Life (Basel, Switzerland) · 2021
    Review
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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Joanna L ParmleyDepartment of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
Araxi O Urrutia
Lukasz Potrzebowski
Henrik Kaessmann
Laurence D Hurst
University of Bath · GBUniversity of Lausanne · CH

Funding

Medical Research Council G0300415
6 · The paper itself

Abstract

It is often supposed that a protein's rate of evolution and its amino acid content are determined by the function and anatomy of the protein. Here we examine an alternative possibility, namely that the requirement to specify in the unprocessed RNA, in the vicinity of intron-exon boundaries, information necessary for removal of introns (e.g., exonic splice enhancers) affects both amino acid usage and rates of protein evolution. We find that the majority of amino acids show skewed usage near intron-exon boundaries, and that differences in the trends for the 2-fold and 4-fold blocks of both arginine and leucine show this to be owing to effects mediated at the nucleotide level. More specifically, there is a robust relationship between the extent to which an amino acid is preferred/avoided near boundaries and its enrichment/paucity in splice enhancers. As might then be expected, the rate of evolution is lowest near intron-exon boundaries, at least in part owing to splice enhancers, such that domains flanking intron-exon junctions evolve on average at under half the rate of exon centres from the same gene. In contrast, the rate of evolution of intronless retrogenes is highest near the domains where intron-exon junctions previously resided. The proportion of sequence near intron-exon boundaries is one of the stronger predictors of a protein's rate of evolution in mammals yet described. We conclude that after intron insertion selection favours modification of amino acid content near intron-exon junctions, so as to enable efficient intron removal, these changes then being subject to strong purifying selection even if nonoptimal for protein function. Thus there exists a strong force operating on protein evolution in mammals that is not explained directly in terms of the biology of the protein.

Indexed as

Alternative SplicingEvolution, MolecularAmino AcidsAnimalsExonsHumansIntronsMiceModels, GeneticProteinsRetroelementsRNA Splice SitesAmino AcidsProteinsRetroelementsRNA Splice Sites

Identifiers

PMID17298171
PMCPMC1790955
OpenAlexW2033144162

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.