Evidence map›Paper›PMID 31820049›Full record

ArticleJournal of molecular evolution2020

Evolutionary Forces and Codon Bias in Different Flavors of Intrinsic Disorder in the Human Proteome.

Sergio Forcelloni, Andrea Giansanti

Abstract read
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In one paragraph

Article in Journal of molecular evolution, 2020. 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
2.0field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
  2. SturnidaeAnimals : an open access journal from MDPI · 2024
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  12. Codon-based indices for modeling gene expression and transcript evolution.Computational and structural biotechnology journal · 2021
    Review
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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

2 authors at 2 institutions in 1 country.

Sergio ForcelloniDepartment of Physics, Sapienza University of Rome, P.le A. Moro 5, 00185, Roma, Italy. sergio.forcelloni@uniroma1.it.ORCID 0000-0002-1831-2569
Andrea GiansantiDepartment of Physics, Sapienza University of Rome, P.le A. Moro 5, 00185, Roma, Italy.
Istituto Nazionale di Fisica Nucleare · ITSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we perform a systematic analysis of evolutionary forces (i.e., mutational bias and natural selection) that shape the codon usage bias of human genes encoding proteins characterized by different flavors of intrinsic disorder. Well-structured proteins are expected to be more under control by purifying natural selection than intrinsically disordered proteins because one or few mutations (even synonymous) in the genes can result in a protein that no longer folds correctly. On the contrary, intrinsically disordered proteins are thought to evolve more rapidly than well-folded proteins, due to a relaxed purifying natural selection and an increased role of mutational bias. Using different bioinformatic tools, we find evidence that codon usage in IDPs is not only affected by a basic mutational bias, but it is also more selectively constrained than the rest of the human proteome. We speculate that intrinsically disordered proteins have not only a high tolerance to mutations but also a selective propensity to preserve their structural disorder under physiological conditions. Additionally, we confirm not only that intrinsically disordered proteins are preferentially encoded by GC-rich genes, but also that they are characterized by the highest fraction of CpG sites in the sequences, implying a higher susceptibility to methylation resulting in C-T transition mutations. Overall, our results corroborate the essential role of intrinsic disorder for the evolutionary adaptability and evolvability of proteins, offering new insight about protein evolution not only in terms of functional properties and roles in diseases but also in terms of evolutionary forces they are subjected to.

Indexed as

Codon UsageEvolution, MolecularSelection, GeneticBase CompositionComputational BiologyHumansIntrinsically Disordered ProteinsModels, GeneticMutationProteomeIntrinsically Disordered ProteinsProteomeCodon usage biasHuman proteomeIntrinsically disordered proteinMutational biasNatural selectionNeutral evolution

Identifiers

PMID31820049
OpenAlexW2994820141

What OpenQuestion holds

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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.