Evidence map›Paper›PMID 29794165›Full record

ArticleG3 (Bethesda, Md.)2018

Limited Mutation-Rate Variation Within the

Hongan Long, Thomas G Doak, Michael Lynch

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Evolution of the highest fidelity DNA replication systems.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Population size interacts with reproductive longevity to shape the germline mutation rate.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Annual review of genetics · 2023
    Review
  6. Article
  7. Evolutionary bioenergetics of ciliates.The Journal of eukaryotic microbiology · 2022
    Review
  8. Article
  9. Article
  10. The insect-killing bacteriumMarine life science & technology · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
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

3 authors.

Hongan LongInstitute of Evolution and Marine Biodiversity, KLMME, Ocean University of China, Qingdao, China 266003 longhongan@gmail.com.ORCID 0000-0001-9767-8173
Thomas G DoakNational Center for Genome Analysis Support, Indiana University, Bloomington, IN 47405.
Michael LynchBiodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, AZ 85287.

Funding

Causes and Population-genetic Consequences of Molecular VariationR35GM122566 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI Michael R LYNCH · 2017 to 2026
$7.7M
The Rate and Molecular Spectrum of Spontaneous MutationsR01GM036827 · NIGMS · UNIVERSITY OF OREGON · PI LYNCH, MICHAEL R · 1988 to 2016
$5.7M
NIGMS NIH HHS R01 GM036827NIGMS NIH HHS R35 GM122566
6 · The paper itself

Abstract

Mutation is one of the most fundamental evolutionary forces. Studying variation in the mutation rate within and among closely-related species can help reveal mechanisms of genome divergence, but such variation is unstudied in the vast majority of organisms. Previous studies on ciliated protozoa have found extremely low mutation rates. In this study, using mutation-accumulation techniques combined with deep whole-genome sequencing, we explore the germline base-substitution mutation-rate variation of three cryptic species in the

Indexed as

MutationMutation RateDNA Mutational AnalysisEvolution, MolecularGenome, ProtozoanGenomicsHigh-Throughput Nucleotide SequencingParamecium aureliaciliated protozoamutation-accumulationneutral evolution

Identifiers

PMID29794165
PMCPMC6027866

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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.