Evidence map›Paper›PMID 30514707›Full record

ArticleGenetics2019

Fine-Grained Analysis of Spontaneous Mutation Spectrum and Frequency in

Mao-Lun Weng, Claude Becker, Julia Hildebrandt, Manuela Neumann, Matthew T Rutter, Ruth G Shaw, Detlef Weigel, Charles B Fenster

Abstract read
In one paragraph

Article in Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

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  10. Nanorate sequencing reveals theProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Review
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  14. Article
  15. Article
  16. Whole-genome duplication increases genetic diversity and load in outcrossingProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article

15 more citing papers are in PubMed but not listed here.

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

8 authors.

Mao-Lun WengDepartment of Biology and Microbiology, South Dakota State University, Brookings, South Dakota 57007 mweng@westfield.ma.edu.ORCID 0000-0001-7299-8736
Claude BeckerDepartment of Molecular Biology, Max Planck Institute for Developmental Biology, 72076 Tübingen, Germany.ORCID 0000-0003-3406-4670
Julia HildebrandtDepartment of Molecular Biology, Max Planck Institute for Developmental Biology, 72076 Tübingen, Germany.
Manuela NeumannDepartment of Molecular Biology, Max Planck Institute for Developmental Biology, 72076 Tübingen, Germany.
Matthew T RutterDepartment of Biology, College of Charleston, South Carolina 29401.ORCID 0000-0002-0389-7293
Ruth G ShawDepartment of Ecology, Evolution and Behavior, University of Minnesota, St. Paul, Minnesota 55108.
Detlef WeigelDepartment of Molecular Biology, Max Planck Institute for Developmental Biology, 72076 Tübingen, Germany.ORCID 0000-0002-2114-7963
Charles B FensterDepartment of Biology and Microbiology, South Dakota State University, Brookings, South Dakota 57007.ORCID 0000-0002-1655-4409

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations are the ultimate source of all genetic variation. However, few direct estimates of the contribution of mutation to molecular genetic variation are available. To address this issue, we first analyzed the rate and spectrum of mutations in the

Indexed as

Mutation RateArabidopsisDNA Transposable ElementsMutation AccumulationPolymorphism, Single NucleotideDNA Transposable ElementsArabidopsis thalianaindelmutation accumulation linemutation ratenatural polymorphismtransposable element

Identifiers

PMID30514707
PMCPMC6366913

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.