Evidence map›Paper›PMID 40580929›Full record

ArticleGenome biology and evolution2025

Cell Compartment is a Predictor of Protein Rate of Evolution, but not in the Manner Expected: Evidence Against the Extended Complexity Hypothesis.

Juan Rivas-Santisteban, Pablo Yubero, Laurence D Hurst

Abstract read
In one paragraph

Article in Genome biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Juan Rivas-SantistebanSystems Biology Department, Centro Nacional de Biotecnología (CNB-CSIC), Madrid, Spain.ORCID 0000-0002-7482-9941
Pablo YuberoSystems Biology Department, Centro Nacional de Biotecnología (CNB-CSIC), Madrid, Spain.ORCID 0000-0002-2860-2236
Laurence D HurstMilner Centre for Evolution, Department of Life Sciences, University of Bath, Bath, UK.ORCID 0000-0002-1002-1054

Funding

European Social FundMinisterio de Ciencia e Innovación
6 · The paper itself

Abstract

What accounts for the variation between proteins in their rate of evolution per synonymous substitution (i.e. dN/dS, alias ω)? Previous analyses suggested that cell location is predictive, with intracellular proteins evolving slower than membrane proteins, a result considered supportive of the extended complexity hypothesis. However, as they occur in 3D space, cytoplasmic proteins are expected to be more abundant. As the level of gene expression is the strongest predictor of ω, and many predictors of protein rate variation are explained by covariance with it, here we ask whether the cell compartment effect is explained by covariates. We employ two single-celled species for which there exist exceptional data, the bacterium (Escherichia coli) and the eukaryote (Saccharomyces cerevisiae). For both, we establish informative species trios to determine branch-specific ω values. In both species, in the absence of covariate control, cytoplasmic proteins evolve relatively slowly, while membrane proteins evolve fast, as originally claimed. After controlling for protein abundance, however, membrane proteins have the lowest rates, this inversion being resilient to multiple alternative abundance control methods. The effect size of the cell compartment as a predictor is of a comparable magnitude to the essentiality effect and remains when allowing for essentiality. We conclude that the effects of the cell compartments are real, but their direction is dependent on the presence or absence of abundance control. These results question any model, such as the extended complexity hypothesis, that claims support from a slower evolution of cytoplasmic proteins and underscore the importance of covariate control.

Indexed as

Cell CompartmentationEscherichia coliEvolution, MolecularSaccharomyces cerevisiaeMembrane ProteinsModels, GeneticMembrane Proteinscomparative genomicsextended complexity hypothesispopulation geneticsprotein evolutionsubcellular location

Identifiers

PMID40580929
PMCPMC12271741

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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.