Evidence map›Paper›PMID 40100755›Full record

ArticleMolecular biology and evolution2025

A Phylogenetic Method Identifies Candidate Drivers of the Evolution of the SARS-CoV-2 Mutation Spectrum.

Russ Corbett-Detig

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Graph transformer for ancient ancestry inference.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Russ Corbett-DetigDepartment of Biomolecular Engineering, University of California, Santa Cruz, USA.ORCID 0000-0001-6535-2478

Funding

Origins, Functional, and Evolutionary Consequences of Genomic VariationR35GM128932 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Russell Corbett-Detig · 2018 to 2026
$3.2M
NIGMS NIH HHS R35 GM128932NIGMS NIH HHS R35GM128932NIH
6 · The paper itself

Abstract

The molecular processes that generate new mutations evolve, but the causal mechanisms are largely unknown. In particular, the relative rates of mutation types (e.g. C > T), the mutation spectrum, sometimes vary among closely related species and populations. I present an algorithm for subdividing a phylogeny into distinct mutation spectra. By applying this approach to a SARS-CoV-2 phylogeny comprising approximately 8 million genome sequences, I identify ten shifts in the mutation spectrum. I find strong enrichment consistent with candidate causal amino-acid substitutions in the SARS-CoV-2 polymerase, and strikingly three appearances of the same homoplasious substitution are each associated with decreased C > T relative mutation rates. With rapidly growing genomic datasets, this approach and future extensions promise new insights into the mechanisms of the evolution of mutational processes. Keywords: Mutation Spectrum; Phylogenetic Analysis; SARS-CoV-2 Evolution.

Indexed as

Evolution, MolecularMutationPhylogenySARS-CoV-2AlgorithmsAmino Acid SubstitutionCOVID-19Genome, ViralHumansMutation Ratemutation spectrumphylogenetic analysisSARS-CoV-2 evolution

Identifiers

PMID40100755
PMCPMC11973479

What OpenQuestion holds

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LicenceCC BY-NC
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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.