Evidence map›Paper›PMID 35880743›Full record

ArticleeLife2022

Mutational robustness changes during long-term adaptation in laboratory budding yeast populations.

Milo S Johnson, Michael M Desai

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.7field-weighted citation impact, top 5% of its field
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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The evolution of robustness and fragility during long-term bacterial adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Direct and indirect selection in a proofreading polymerase.bioRxiv : the preprint server for biology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. A dynamical limit to evolutionary adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. Article
  13. A dynamical limit to evolutionary adaptation.bioRxiv : the preprint server for biology · 2023
    Article
  14. Review
  15. 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 at 1 institution in 1 country.

Milo S JohnsonDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.ORCID 0000-0003-0169-2494
Michael M DesaiDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, United States.ORCID 0000-0002-9581-1150
Harvard University · US

Funding

Microbial Adaptation and the Statistics of Epistasis and PleiotropyR01GM104239 · NIGMS · HARVARD UNIVERSITY · PI DESAI, MICHAEL M · 2013 to 2025
$4.5M
NIGMS NIH HHS R01 GM104239
6 · The paper itself

Abstract

As an adapting population traverses the fitness landscape, its local neighborhood (i.e., the collection of fitness effects of single-step mutations) can change shape because of interactions with mutations acquired during evolution. These changes to the distribution of fitness effects can affect both the rate of adaptation and the accumulation of deleterious mutations. However, while numerous models of fitness landscapes have been proposed in the literature, empirical data on how this distribution changes during evolution remains limited. In this study, we directly measure how the fitness landscape neighborhood changes during laboratory adaptation. Using a barcode-based mutagenesis system, we measure the fitness effects of 91 specific gene disruption mutations in genetic backgrounds spanning 8000-10,000 generations of evolution in two constant environments. We find that the mean of the distribution of fitness effects decreases in one environment, indicating a reduction in mutational robustness, but does not change in the other. We show that these distribution-level patterns result from differences in the relative frequency of certain patterns of epistasis at the level of individual mutations, including fitness-correlated and idiosyncratic epistasis.

Indexed as

Epistasis, GeneticSaccharomycetalesAdaptation, PhysiologicalEvolution, MolecularGenetic FitnessModels, GeneticMutationSaccharomyces cerevisiaeepistasisevolutionary biologyexperimental evolutionrobustnessS. cerevisiae

Identifiers

PMID35880743
PMCPMC9355567
OpenAlexW4288010070

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.