Evidence map›Paper›PMID 37770035›Full record

ArticleMolecular biology and evolution2023

Evolution of the Mutation Spectrum Across a Mammalian Phylogeny.

Annabel C Beichman, Jacqueline Robinson, Meixi Lin, Andrés Moreno-Estrada, Sergio Nigenda-Morales, Kelley Harris

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Dynamics of mutators of arbitrary dominance in humans.bioRxiv : the preprint server for biology · 2026
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  6. Methylation-associated mutagenesis underlies variation in the mutation spectrum across eukaryotes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  15. Review
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  18. The Evolutionary Interplay of Somatic and Germline Mutation Rates.Annual review of biomedical data science · 2024
    Review
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Annabel C BeichmanDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.ORCID 0000-0002-6991-587X
Jacqueline RobinsonInstitute for Human Genetics, University of California, San Francisco, CA, USA.ORCID 0000-0002-5556-815X
Meixi LinDepartment of Plant Biology, Carnegie Institution for Science, Stanford, CA, USA.
Andrés Moreno-EstradaNational Laboratory of Genomics for Biodiversity, Advanced Genomics Unit (UGA-LANGEBIO), CINVESTAV, Irapuato, Mexico.
Sergio Nigenda-MoralesDepartment of Biological Sciences, California State University, San Marcos, San Marcos, CA, USA.
Kelley HarrisDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.

Funding

Biological Mechanisms of Healthy Aging Training GrantT32AG066574 · NIA · UNIVERSITY OF WASHINGTON · PI David J. Marcinek, Jessica E Young · 2020 to 2026
$5.3M
Investigating the landscape and genetic architecture of germline mutagenesisR35GM133428 · NIGMS · UNIVERSITY OF WASHINGTON · PI Kelley Harris · 2019 to 2026
$2.8M
NIA NIH HHS T32 AG066574NIGMS NIH HHS R35 GM133428
6 · The paper itself

Abstract

Although evolutionary biologists have long theorized that variation in DNA repair efficacy might explain some of the diversity of lifespan and cancer incidence across species, we have little data on the variability of normal germline mutagenesis outside of humans. Here, we shed light on the spectrum and etiology of mutagenesis across mammals by quantifying mutational sequence context biases using polymorphism data from thirteen species of mice, apes, bears, wolves, and cetaceans. After normalizing the mutation spectrum for reference genome accessibility and k-mer content, we use the Mantel test to deduce that mutation spectrum divergence is highly correlated with genetic divergence between species, whereas life history traits like reproductive age are weaker predictors of mutation spectrum divergence. Potential bioinformatic confounders are only weakly related to a small set of mutation spectrum features. We find that clock-like mutational signatures previously inferred from human cancers cannot explain the phylogenetic signal exhibited by the mammalian mutation spectrum, despite the ability of these signatures to fit each species' 3-mer spectrum with high cosine similarity. In contrast, parental aging signatures inferred from human de novo mutation data appear to explain much of the 1-mer spectrum's phylogenetic signal in combination with a novel mutational signature. We posit that future models purporting to explain the etiology of mammalian mutagenesis need to capture the fact that more closely related species have more similar mutation spectra; a model that fits each marginal spectrum with high cosine similarity is not guaranteed to capture this hierarchy of mutation spectrum variation among species.

Indexed as

MammalsNeoplasmsAnimalsCetaceaGenetic DriftHumansMiceMutagenesisMutationPhylogenymammalmutagenesismutationmutation spectrumphylogenetic signalreproductive age

Identifiers

PMID37770035
PMCPMC10566577

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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.