Evidence map›Paper›PMID 31147689›Full record

ArticleMolecular biology and evolution2019

The Impact of Protein Architecture on Adaptive Evolution.

Ana Filipa Moutinho, Fernanda Fontes Trancoso, Julien Yann Dutheil

Open access · hybridAbstract read
In one paragraph

Article in Molecular biology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
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  10. Repeated global adaptation across plant species.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Review
  12. Biomimetic COEnvironmental science & technology · 2024
    Article
  13. Article
  14. Review
  15. Quantifying the fraction of new mutations that are recessive lethal.Evolution; international journal of organic evolution · 2023
    Article
  16. Article
  17. Evolution is not Uniform Along Coding Sequences.Molecular biology and evolution · 2023
    Article
  18. Review
  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

3 authors at 2 institutions in 2 countries.

Ana Filipa MoutinhoDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany.
Fernanda Fontes TrancosoDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany.
Julien Yann DutheilDepartment of Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Plön, Germany.
Max Planck Institute for Evolutionary Biology · DECentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adaptive mutations play an important role in molecular evolution. However, the frequency and nature of these mutations at the intramolecular level are poorly understood. To address this, we analyzed the impact of protein architecture on the rate of adaptive substitutions, aiming to understand how protein biophysics influences fitness and adaptation. Using Drosophila melanogaster and Arabidopsis thaliana population genomics data, we fitted models of distribution of fitness effects and estimated the rate of adaptive amino-acid substitutions both at the protein and amino-acid residue level. We performed a comprehensive analysis covering genome, gene, and protein structure, by exploring a multitude of factors with a plausible impact on the rate of adaptive evolution, such as intron number, protein length, secondary structure, relative solvent accessibility, intrinsic protein disorder, chaperone affinity, gene expression, protein function, and protein-protein interactions. We found that the relative solvent accessibility is a major determinant of adaptive evolution, with most adaptive mutations occurring at the surface of proteins. Moreover, we observe that the rate of adaptive substitutions differs between protein functional classes, with genes encoding for protein biosynthesis and degradation signaling exhibiting the fastest rates of protein adaptation. Overall, our results suggest that adaptive evolution in proteins is mainly driven by intermolecular interactions, with host-pathogen coevolution likely playing a major role.

Indexed as

Adaptation, BiologicalEvolution, MolecularProtein ConformationAnimalsArabidopsisDrosophila melanogasterGenome, InsectGenome, PlantadaptationArabidopsis thalianaDrosophila melanogasterpopulation geneticsprotein functionprotein structure

Identifiers

PMID31147689
PMCPMC6735723
OpenAlexW2949879071

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LicenceCC BY
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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.