Evidence map›Paper›PMID 30692195›Full record

ArticleGenetics2019

A Shift in Aggregation Avoidance Strategy Marks a Long-Term Direction to Protein Evolution.

Scott G Foy, Benjamin A Wilson, Jason Bertram, Matthew H J Cordes, Joanna Masel

Abstract read
In one paragraph

Article in Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Emergence Biases in Molecular Evolution.Genome biology and evolution · 2026
    Review
  2. Article
  3. Article
  4. Order of amino acid recruitment into the genetic code resolved by last universal common ancestor's protein domains.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  12. Evolution and co-evolution: insights into the divergence of plant heat shock factor genes.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
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  18. De novo gene birth.PLoS genetics · 2019
    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

5 authors.

Scott G FoyDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721.
Benjamin A WilsonDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721.ORCID 0000-0002-3992-2876
Jason BertramDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721.ORCID 0000-0001-5374-6912
Matthew H J CordesDepartment of Chemistry and Biochemistry, University of Arizona, Tucson, Arizona 85721.
Joanna MaselDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721 masel@email.arizona.edu.ORCID 0000-0002-7398-2127

Funding

THE CONVERSION OF NONCODING SEQUENCES INTO PROTEINSR01GM104040 · NIGMS · UNIVERSITY OF ARIZONA · PI CORDES, MATTHEW HJ, MASEL, JOANNA · 2013 to 2016
$839k
NIGMS NIH HHS R01 GM104040
6 · The paper itself

Abstract

To detect a direction to evolution, without the pitfalls of reconstructing ancestral states, we need to compare "more evolved" to "less evolved" entities. But because all extant species have the same common ancestor, none are chronologically more evolved than any other. However, different gene families were born at different times, allowing us to compare young protein-coding genes to those that are older and hence have been evolving for longer. To be retained during evolution, a protein must not only have a function, but must also avoid toxic dysfunction such as protein aggregation. There is conflict between the two requirements: hydrophobic amino acids form the cores of protein folds, but also promote aggregation. Young genes avoid strongly hydrophobic amino acids, which is presumably the simplest solution to the aggregation problem. Here we show that young genes' few hydrophobic residues are clustered near one another along the primary sequence, presumably to assist folding. The higher aggregation risk created by the higher hydrophobicity of older genes is counteracted by more subtle effects in the ordering of the amino acids, including a reduction in the clustering of hydrophobic residues until they eventually become more interspersed than if distributed randomly. This interspersion has previously been reported to be a general property of proteins, but here we find that it is restricted to old genes. Quantitatively, the index of dispersion delineates a gradual trend,

Indexed as

Evolution, MolecularModels, GeneticAmyloidAnimalsMiceProtein BindingProtein ConformationProtein FoldingProtein MultimerizationSelection, GeneticAmyloidaggregation propensitygene agephylostratigraphyprotein foldingprotein misfolding

Identifiers

PMID30692195
PMCPMC6456324

What OpenQuestion holds

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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.