Evidence map›Paper›PMID 26445980›Full record

ReviewBiology letters2015

Changing preferences: deformation of single position amino acid fitness landscapes and evolution of proteins.

Georgii A Bazykin

Abstract readReview
In one paragraph

Review in Biology letters, 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. Article
  2. Dynamic expedition of leading mutations in SARS-CoV-2 spike glycoproteins.Computational and structural biotechnology journal · 2024
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Allele-specific nonstationarity in evolution of influenza A virus surface proteins.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Compensatory mutations and epistasis for protein function.Current opinion in structural biology · 2018
    Review
  15. Article
  16. Parallel Evolution of Metazoan Mitochondrial Proteins.Genome biology and evolution · 2017
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

1 author.

Georgii A BazykinInstitute for Information Transmission Problems (Kharkevich Institute) of the Russian Academy of Sciences, Moscow 127051, Russia Faculty of Bioengineering and Bioinformatics and Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow 119234, Russia Pirogov Russian National Research Medical University, Moscow 117997, Russia gbazykin@iitp.ru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fitness landscape-the function that relates genotypes to fitness-and its role in directing evolution are a central object of evolutionary biology. However, its huge dimensionality precludes understanding of even the basic aspects of its shape. One way to approach it is to ask a simpler question: what are the properties of a function that assigns fitness to each possible variant at just one particular site-a single position fitness landscape-and how does it change in the course of evolution? Analyses of genomic data from multiple species and multiple individuals within a species have proved beyond reasonable doubt that fitness functions of positions throughout the genome do themselves change with time, thus shaping protein evolution. Here, I will briefly review the literature that addresses these dynamics, focusing on recent genome-scale analyses of fitness functions of amino acid sites, i.e. vectors of fitnesses of 20 individual amino acid variants at a given position of a protein. The set of amino acids that confer high fitness at a particular position changes with time, and the rate of this change is comparable with the rate at which a position evolves, implying that this process plays a major role in evolutionary dynamics. However, the causes of these changes remain largely unclear.

Indexed as

Epistasis, GeneticEvolution, MolecularGenetic FitnessAdaptation, BiologicalAmino AcidsGenotypeProteinsAmino AcidsProteinsepistasismacroevolutionmicroevolutionproteinsselection

Identifiers

PMID26445980
PMCPMC4650171

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.