Evidence map›Paper›PMID 39739809›Full record

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

Evolution takes multiple paths to evolvability when facing environmental change.

Bhaskar Kumawat, Alexander Lalejini, Monica M Acosta, Luis Zaman

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Deconstructing empirical fitness seascapes across scales of granularity.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. 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
  5. 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
  6. Article
  7. 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

4 authors.

Bhaskar KumawatDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109.ORCID 0000-0002-6128-8971
Alexander LalejiniDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109.
Monica M AcostaDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109.ORCID 0009-0004-1755-5376
Luis ZamanDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109.ORCID 0000-0001-6838-7385

Funding

National Science Foundation (NSF) DEB 1813069
6 · The paper itself

Abstract

Life at all scales is surprisingly effective at exploiting new opportunities, as demonstrated by the rapid emergence of antimicrobial resistance and novel pathogens. How populations acquire this level of evolvability and the various ways it aids survival are major open questions with direct implications for human health. Here, we use digital evolution to show that changing environments facilitate the simultaneous evolution of high mutation rates and a distribution of mutational effects skewed toward beneficial phenotypes. The evolved mutational neighborhoods allow rapid adaptation to previously encountered environments, whereas higher mutation rates aid adaptation to completely new environmental conditions. By precisely tracking evolving lineages and the phenotypes of their mutants, we show that evolving populations localize on phenotypic boundaries between distinct regions of genotype space. Our results demonstrate how evolution shapes multiple determinants of evolvability concurrently, fine-tuning a population's adaptive responses to unpredictable or recurrent environmental shifts.

Indexed as

PhenotypeAdaptation, PhysiologicalBiological EvolutionEnvironmentEvolution, MolecularGenotypeHumansModels, GeneticMutationMutation Ratedigital evolutionevolvabilityfitness landscapemutation rate

Identifiers

PMID39739809
PMCPMC11725885

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.