Evidence map›Paper›PMID 40440062›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Robustness revisited: On the neutral evolution of centrality and localization.

Yehonatan Sella, Aviv Bergman

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Robustness revisited: On the neutral evolution of centrality and localization.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

2 authors.

Yehonatan SellaDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY 10461.
Aviv BergmanDepartment of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY 10461.ORCID 0000-0002-6340-2125

Funding

YU | AECOM | Albert Einstein Jack and Pearl Resnick Gerontology Center, Albert Einstein College of Medicine (Resnick Gerontology Center) Internal Funding
6 · The paper itself

Abstract

This study investigates the intricate interplay among neutral landscape structure, mutation rate, recombination rate, and population dynamics in shaping evolutionary robustness. We provide a comprehensive framework that elucidates how different evolutionary forces interact to influence genotypic robustness and localization within haploid and diploid populations. We demonstrate that in haploid populations, high mutation rates relative to recombination typically drive the population toward regions of increased eigencentrality, a graph-theoretic measure of centrality which is correlated while not identical to mutational robustness. On the other hand, recombination increases the localization of the population to a smaller region of genotypic space, while high values of recombination relative to mutation can introduce shifts in distribution away from regions of high eigencentrality and toward attractors of the recombination dynamics. Diploid dynamics further complicate these interactions, showing reduced alignment with eigencentrality under both high mutation and recombination rates, with the exception of structured diploid landscapes where dynamics are still aligned with increasing eigencentrality. Our findings underscore the nuanced dependencies of evolutionary outcomes on both local and global landscape structures as well as evolutionary parameters.

Indexed as

Biological EvolutionEvolution, MolecularModels, GeneticDiploidyGenotypeHaploidyMutationMutation RatePopulation DynamicsRecombination, Geneticeigencentralityfitness landscapeslocalizationneutral evolutionrobustness

Identifiers

PMID40440062
PMCPMC12146759

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.