Evidence map›Paper›PMID 39261599›Full record

ArticleNature ecology & evolution2024

Evolution of evolvability in rapidly adapting populations.

James T Ferrare, Benjamin H Good

Abstract read
In one paragraph

Article in Nature ecology & evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Deconstructing empirical fitness seascapes across scales of granularity.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. The evolution of genetic drift over 50,000 generations.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
  10. Ecological diversification in rapidly evolving populations.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Evolution takes multiple paths to evolvability when facing environmental change.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Article
  15. Direct and indirect selection in a proofreading polymerase.bioRxiv : the preprint server for biology · 2024
    Article
  16. A dynamical limit to evolutionary adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  17. A dynamical limit to evolutionary adaptation.bioRxiv : the preprint server for biology · 2023
    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.

James T FerrareBiophysics Program, Stanford University, Stanford, CA, USA.
Benjamin H GoodDepartment of Applied Physics, Stanford University, Stanford, CA, USA. bhgood@stanford.edu.ORCID http://orcid.org/0000-0002-7757-3347

Funding

Molecular Biophysics Training Program at StanfordT32GM136568 · NIGMS · STANFORD UNIVERSITY · PI Zev Bryant, KERWYN C. HUANG · 2021 to 2026
$3.7M
Alfred P. Sloan Foundation FG-2021-15708NIGMS NIH HHS T32 GM136568
6 · The paper itself

Abstract

Mutations can alter the short-term fitness of an organism, as well as the rates and benefits of future mutations. While numerous examples of these evolvability modifiers have been observed in rapidly adapting microbial populations, existing theory struggles to predict when they will be favoured by natural selection. Here we develop a mathematical framework for predicting the fates of genetic variants that modify the rates and benefits of future mutations in linked genomic regions. We derive analytical expressions showing how the fixation probabilities of these variants depend on the size of the population and the diversity of competing mutations. We find that competition between linked mutations can dramatically enhance selection for modifiers that increase the benefits of future mutations, even when they impose a strong direct cost on fitness. However, we also find that modest direct benefits can be sufficient to drive evolutionary dead ends to fixation. Our results suggest that subtle differences in evolvability could play an important role in shaping the long-term success of genetic variants in rapidly evolving microbial populations.

Indexed as

Selection, GeneticAdaptation, BiologicalBiological EvolutionEvolution, MolecularGenetic FitnessModels, GeneticMutation

Identifiers

PMID39261599
PMCPMC12049861

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.