Evidence map›Paper›PMID 42054461›Full record

ArticleScience advances2026

Spontaneous mutation rate and spectrum are modulated by organismal fitness.

Shuting Ding, Anjali Mahilkar, Yang Li, Jianzhi Zhang

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shuting DingDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-7541-3086
Anjali MahilkarDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-6036-838X
Yang LiDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0003-2530-7167
Jianzhi ZhangDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-6141-1290

Funding

Genomic and Systemic Approaches to Evolutionary MechanismsR35GM139484 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JIANZHI ZHANG · 2021 to 2026
$3.2M
NIH HHS R35GM139484
6 · The paper itself

Abstract

Understanding the principles governing mutagenesis is important because mutations are a fundamental driver of evolution and a cause of disease. Although mutation rates and spectra depend on genotype and environment, how these factors interact is unclear. We address this question using mutation accumulation experiments in 11 budding yeast strains across three environments that produce strong genotype-by-environment interactions in fitness. Analysis of over 9000 accumulated mutations reveals that per-generation rates of all mutation types-single-nucleotide variations, small insertions and deletions, segmental duplications and deletions, and chromosome gains and losses-decline with increasing organismal fitness. Notably, relative mutation rates between strains tend to invert when environmental shifts reverse their relative fitness. The mutation spectrum is also partially fitness dependent: Higher-fitness strains show a lower transition-to-transversion ratio and a stronger AT mutational bias. Thus, organismal fitness shapes not only natural selection but also the quantity and composition of mutations available to selection, with broad implications for the molecular clock, adaptive evolution, and genetic load.

Indexed as

Genetic FitnessMutation RateSaccharomyces cerevisiaeEvolution, MolecularMutationSelection, Genetic

Identifiers

PMID42054461
PMCPMC13127557

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.