Evidence map›Paper›PMID 31570957›Full record

ArticleJournal of molecular evolution2019

Investigating Evolutionary Rate Variation in Bacteria.

Beth Gibson, Adam Eyre-Walker

Abstract read
In one paragraph

Article in Journal of molecular evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. The island biology of the host microbiome.Trends in microbiology · 2026
    Review
  3. Genomic and patient epidemiology ofMicrobiology spectrum · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Intrahost evolution of the gut microbiota.Nature reviews. Microbiology · 2023
    Review
  12. Rapid adaptations ofMicrobial genomics · 2023
    Article
  13. Ceftazidime-avibactam resistance inMicrobial genomics · 2023
    Article
  14. Diversity and metabolic energy in bacteria.FEMS microbiology letters · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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.

Beth GibsonSchool of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK.ORCID 0000-0001-7984-6188
Adam Eyre-WalkerSchool of Life Sciences, University of Sussex, Brighton, BN1 9QG, UK. a.c.eyre-walker@sussex.ac.uk.ORCID 0000-0001-5527-8729

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rates of molecular evolution are known to vary between species and across all kingdoms of life. Here, we explore variation in the rate at which bacteria accumulate mutations (accumulation rates) in their natural environments over short periods of time. We have compiled estimates of the accumulation rate for over 34 species of bacteria, the majority of which are pathogens evolving either within an individual host or during outbreaks. Across species, we find that accumulation rates vary by over 3700-fold. We investigate whether accumulation rates are associated to a number potential correlates including genome size, GC content, measures of the natural selection and the time frame over which the accumulation rates were estimated. After controlling for phylogenetic non-independence, we find that the accumulation rate is not significantly correlated to any factor. Furthermore, contrary to previous results, we find that it is not impacted by the time frame of which the estimate was made. However, our study, with only 34 species, is likely to lack power to detect anything but large effects. We suggest that much of the rate variation may be explained by differences between species in the generation time in the wild.

Indexed as

Mutation RateBacteriaBacterial ProteinsBase CompositionBiological EvolutionEvolution, MolecularGenome SizeModels, GeneticMutationPhylogenySelection, GeneticBacterial ProteinsAccumulation rateBacteriaEvolutionary rateMutation

Identifiers

PMID31570957
PMCPMC6858405

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.