Evidence map›Paper›PMID 37450609›Full record

ArticleGenetics2023

Somatic mutations inferred from RNA-seq data highlight the contribution of replication timing to mutation rate variation in a model plant.

Patrick M Staunton, Andrew J Peters, Cathal Seoighe

Erratum issuedAbstract read
In one paragraph

Article in Genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Nanorate sequencing reveals theProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Investigating low frequency somatic mutations inbioRxiv : the preprint server for biology · 2024
    Article
  11. High intraspecies allelic diversity inbioRxiv : the preprint server for biology · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Patrick M StauntonSchool of Mathematical and Statistical Sciences, University of Galway, Galway H91 TK33, Ireland.
Andrew J PetersSchool of Mathematical and Statistical Sciences, University of Galway, Galway H91 TK33, Ireland.
Cathal SeoigheSchool of Mathematical and Statistical Sciences, University of Galway, Galway H91 TK33, Ireland.

Funding

Science Foundation Ireland 16/IA/4612
6 · The paper itself

Abstract

Variation in the rates and characteristics of germline and somatic mutations across the genome of an organism is informative about DNA damage and repair processes and can also shed light on aspects of organism physiology and evolution. We adapted a recently developed method for inferring somatic mutations from bulk RNA-seq data and applied it to a large collection of Arabidopsis thaliana accessions. The wide range of genomic data types available for A. thaliana enabled us to investigate the relationships of multiple genomic features with the variation in the somatic mutation rate across the genome of this model plant. We observed that late replicated regions showed evidence of an elevated rate of somatic mutation compared to genomic regions that are replicated early. We identified transcriptional strand asymmetries, consistent with the effects of transcription-coupled damage and/or repair. We also observed a negative relationship between the inferred somatic mutation count and the H3K36me3 histone mark which is well documented in the literature of human systems. In addition, we were able to support previous reports of an inverse relationship between inferred somatic mutation count and guanine-cytosine content as well as a positive relationship between inferred somatic mutation count and DNA methylation for both cytosine and noncytosine mutations.

Indexed as

ArabidopsisMutation RateCytosineDNA Replication TimingHumansMutationRNA-SeqCytosineArabidopsis thalianaepigenomicssomatic mutation

Identifiers

PMID37450609
PMCPMC10550316

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Registered trials

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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.