Evidence map›Paper›PMID 25415964›Full record

ArticleMolecular biology and evolution2015

A model of substitution trajectories in sequence space and long-term protein evolution.

Dinara R Usmanova, Luca Ferretti, Inna S Povolotskaya, Peter K Vlasov, Fyodor A Kondrashov

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Descent from a common ancestor restricts exploration of protein sequence space.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
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  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Compensatory mutations and epistasis for protein function.Current opinion in structural biology · 2018
    Review
  12. Review
  13. Article
  14. Parallel Evolution of Metazoan Mitochondrial Proteins.Genome biology and evolution · 2017
    Article
  15. Article
  16. Epistasis in protein evolution.Protein science : a publication of the Protein Society · 2016
    Review
  17. Article
  18. Article
  19. Article
  20. Review
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

5 authors.

Dinara R UsmanovaMoscow Institute of Physics and Technology, Institutskiy Pereulok 9, g.Dolgoprudny, Russia Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Spain Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Luca FerrettiSystématique, Adaptation et Evolution (UMR 7138), UPMC University Paris 06, CNRS, MNHN, IRD, Paris, France CIRB, Collège de France, Paris, France.
Inna S PovolotskayaBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Spain Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Peter K VlasovBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Spain Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Fyodor A KondrashovBioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Spain Universitat Pompeu Fabra (UPF), Barcelona, Spain Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain fyodor.kondrashov@crg.eu.

Funding

European Research Council 335980
6 · The paper itself

Abstract

The nature of factors governing the tempo and mode of protein evolution is a fundamental issue in evolutionary biology. Specifically, whether or not interactions between different sites, or epistasis, are important in directing the course of evolution became one of the central questions. Several recent reports have scrutinized patterns of long-term protein evolution claiming them to be compatible only with an epistatic fitness landscape. However, these claims have not yet been substantiated with a formal model of protein evolution. Here, we formulate a simple covarion-like model of protein evolution focusing on the rate at which the fitness impact of amino acids at a site changes with time. We then apply the model to the data on convergent and divergent protein evolution to test whether or not the incorporation of epistatic interactions is necessary to explain the data. We find that convergent evolution cannot be explained without the incorporation of epistasis and the rate at which an amino acid state switches from being acceptable at a site to being deleterious is faster than the rate of amino acid substitution. Specifically, for proteins that have persisted in modern prokaryotic organisms since the last universal common ancestor for one amino acid substitution approximately ten amino acid states switch from being accessible to being deleterious, or vice versa. Thus, molecular evolution can only be perceived in the context of rapid turnover of which amino acids are available for evolution.

Indexed as

Evolution, MolecularModels, GeneticPhylogenyProteinsProteinsepistasisfitness landscapemolecular evolution

Identifiers

PMID25415964
PMCPMC4298177

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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.