Evidence map›Paper›PMID 37256290›Full record

ArticleJournal of evolutionary biology2023

The effect of mutational robustness on the evolvability of multicellular organisms and eukaryotic cells.

Pengyao Jiang, Martin Kreitman, John Reinitz

Abstract read
In one paragraph

Article in Journal of evolutionary biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. The variability of evolvability: Properties of dynamic fitness landscapes determine how phenotypic variability evolves.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Review
  3. Review
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.

Pengyao JiangDepartment of Ecology & Evolution, University of Chicago, Chicago, Illinois, USA.ORCID 0000-0002-7797-6031
Martin KreitmanDepartment of Ecology & Evolution, University of Chicago, Chicago, Illinois, USA.
John ReinitzDepartment of Ecology & Evolution, University of Chicago, Chicago, Illinois, USA.ORCID 0000-0002-6314-9510

Funding

Physiological Model of Gene Regulation in DrosophilaR01OD010936 · OD · UNIVERSITY OF CHICAGO · PI ALLESINA, STEFANO, LUDWIG, MICHAEL · 2012 to 2023
$6.3M
NIH HHS R01 OD010936
6 · The paper itself

Abstract

Canalization involves mutational robustness, the lack of phenotypic change as a result of genetic mutations. Given the large divergence in phenotype across species, understanding the relationship between high robustness and evolvability has been of interest to both theorists and experimentalists. Although canalization was originally proposed in the context of multicellular organisms, the effect of multicellularity and other classes of hierarchical organization on evolvability has not been considered by theoreticians. We address this issue using a Boolean population model with explicit representation of an environment in which individuals with explicit genotype and a hierarchical phenotype representing multicellularity evolve. Robustness is described by a single real number between zero and one which emerges from the genotype-phenotype map. We find that high robustness is favoured in constant environments, and lower robustness is favoured after environmental change. Multicellularity and hierarchical organization severely constrain robustness: peak evolvability occurs at an absolute level of robustness of about 0.99 compared with values of about 0.5 in a classical neutral network model. These constraints result in a sharp peak of evolvability in which the maximum is set by the fact that the fixation of adaptive mutations becomes more improbable as robustness decreases. When robustness is put under genetic control, robustness levels leading to maximum evolvability are selected for, but maximal relative fitness appears to require recombination.

Indexed as

Eukaryotic CellsEvolution, MolecularModels, GeneticMutationPhenotypeadaptationBoolean modelcanalizationeukaryoteshierarchical phenotypeneural netpopulation simulationsWright-Fisher

Identifiers

PMID37256290
PMCPMC10315174

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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.