Evidence map›Paper›PMID 37792927›Full record

ArticleThe American naturalist2023

Shifts in Mutation Bias Promote Mutators by Altering the Distribution of Fitness Effects.

Marwa Z Tuffaha, Saranya Varakunan, David Castellano, Ryan N Gutenkunst, Lindi M Wahl

Abstract read
In one paragraph

Article in The American naturalist, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Module-Selection Balance in the Evolution of Modular Organisms.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Shifts in mutation spectra enhance access to beneficial mutations.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Transient mutation bias increases the predictability of evolution on an empirical genotype-phenotype landscape.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  10. Mutation bias and the predictability of evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    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

5 authors.

Marwa Z Tuffaha
Saranya Varakunan
David Castellano
Ryan N Gutenkunst
Lindi M Wahl

Funding

Joint inferences of natural selection between sites and populationsR01GM127348 · NIGMS · UNIVERSITY OF ARIZONA · PI GUTENKUNST, RYAN · 2019 to 2023
$1.7M
NIGMS NIH HHS R01 GM127348
6 · The paper itself

Abstract

AbstractRecent experimental evidence demonstrates that shifts in mutational biases-for example, increases in transversion frequency-can change the distribution of fitness effects of mutations (DFE). In particular, reducing or reversing a prevailing bias can increase the probability that a de novo mutation is beneficial. It has also been shown that mutator bacteria are more likely to emerge if the beneficial mutations they generate have a larger effect size than observed in the wild type. Here, we connect these two results, demonstrating that mutator strains that reduce or reverse a prevailing bias have a positively shifted DFE, which in turn can dramatically increase their emergence probability. Since changes in mutation rate and bias are often coupled through the gain and loss of DNA repair enzymes, our results predict that the invasion of mutator strains will be facilitated by shifts in mutation bias that offer improved access to previously undersampled beneficial mutations.

Indexed as

Mutation RateMutationbacteriamicrobial evolutionmutation biasmutation ratemutation spectramutator

Identifiers

PMID37792927
PMCPMC11288183

What OpenQuestion holds

Textmetadata
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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.