Evidence map›Paper›PMID 30131359›Full record

ArticlemBio2018

Periodic Variation of Mutation Rates in Bacterial Genomes Associated with Replication Timing.

Marcus M Dillon, Way Sung, Michael Lynch, Vaughn S Cooper

Open access · goldAbstract read
In one paragraph

Article in mBio, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Digital Image Processing to Detect Adaptive Evolution.Molecular biology and evolution · 2024
    Article
  9. Phages produce persisters.Microbial biotechnology · 2024
    Article
  10. Article
  11. Mutation bias and adaptation in bacteria.Microbiology (Reading, England) · 2023
    Review
  12. Mutation bias and the predictability of evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
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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

4 authors at 3 institutions in 2 countries.

Marcus M DillonDepartment of Cell and Systems Biology, University of Toronto, Toronto, Ontario, Canada.
Way SungDepartment of Bioinformatics and Genomics, University of North Carolina-Charlotte, Charlotte, North Carolina, USA.
Michael LynchCenter for Mechanisms of Evolution, Arizona State University, Tempe, Arizona, USA.
Vaughn S CooperGraduate Program in Microbiology, University of New Hampshire, Durham, New Hampshire, USA vaughn.cooper@pitt.edu.ORCID 0000-0001-7726-0765
University of New Hampshire · USArizona State University · USUniversity of North Carolina at Charlotte · US

Funding

Causes and Population-genetic Consequences of Molecular VariationR35GM122566 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI Michael R LYNCH · 2017 to 2026
$7.7M
NIGMS NIH HHS R35 GM122566
6 · The paper itself

Abstract

The causes and consequences of spatiotemporal variation in mutation rates remain to be explored in nearly all organisms. Here we examine relationships between local mutation rates and replication timing in three bacterial species whose genomes have multiple chromosomes:

Indexed as

DNA ReplicationGenome, BacterialMutation RateAliivibrio fischeriBurkholderia cenocepaciaCell CycleChromosomes, BacterialDNA Mismatch RepairGenetic VariationPeriodicityVibrioVibrio choleraegenome organizationmutation rateperiodicityVibrio choleraeVibrio fischeri

Identifiers

PMID30131359
PMCPMC6106087
OpenAlexW2951367580

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.