Evidence map›Paper›PMID 37475753›Full record

ArticleEvolution letters2023

Experimental estimates of germline mutation rate in eukaryotes: a phylogenetic meta-analysis.

Yiguan Wang, Darren J Obbard

Open access · goldAbstract read
In one paragraph

Article in Evolution letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
27.2field-weighted citation impact, top 1% of its field
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

64 citing papers in PubMed, 86 citations in OpenAlex.

  1. Article
  2. Article
  3. Dynamics of mutators of arbitrary dominance in humans.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. AScience advances · 2026
    Article
  6. Nucleotide diversity is a poor predictor of short-term adaptive potential.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
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  14. Article
  15. Article
  16. Article
  17. A century of theories of balancing selection.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  18. Dislodging the drift barrier: Why do mutation rates vary?Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  19. Article
  20. Article

4 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

2 authors at 1 institution in 1 country.

Yiguan WangInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom.
Darren J ObbardInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom.ORCID https://orcid.org/0000-0001-5392-8142
University of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutation is the ultimate source of all genetic variation, and over the last 10 years the ready availability of whole-genome sequencing has permitted direct estimation of mutation rate for many non-model species across the tree of life. In this meta-analysis, we make a comprehensive search of the literature for mutation rate estimates in eukaryotes, identifying 140 mutation accumulation (MA) and parent-offspring (PO) sequencing studies covering 134 species. Based on these data, we revisit differences in the single-nucleotide mutation (SNM) rate between different phylogenetic lineages and update the known relationships between mutation rate and generation time, genome size, and nucleotide diversity-while accounting for phylogenetic nonindependence. We do not find a significant difference between MA and PO in estimated mutation rates, but we confirm that mammal and plant lineages have higher mutation rates than arthropods and that unicellular eukaryotes have the lowest mutation rates. We find that mutation rates are higher in species with longer generation times and larger genome sizes, even when accounting for phylogenetic relationships. Moreover, although nucleotide diversity is positively correlated with mutation rate, the gradient of the relationship is significantly less than one (on a logarithmic scale), consistent with higher mutation rates in populations with smaller effective size. For the 29 species for which data are available, we find that indel mutation rates are positively correlated with nucleotide mutation rates and that short deletions are generally more common than short insertions. Nevertheless, despite recent progress, no estimates of either SNM or indel mutation rates are available for the majority of deeply branching eukaryotic lineages-or even for most animal phyla. Even among charismatic megafauna, experimental mutation rate estimates remain unknown for amphibia and scarce for reptiles and fish.

Indexed as

de novo mutation rateeukaryotesindelsphylogeny

Identifiers

PMID37475753
PMCPMC10355183
OpenAlexW4381251925

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.