Evidence map›Paper›PMID 19015321›Full record

ArticleGenome research2009

Inferring genomic flux in bacteria.

Xavier Didelot, Aaron Darling, Daniel Falush

Abstract read
In one paragraph

Article in Genome research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Phylogenetic Methods for Genome-Wide Association Studies in Bacteria.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  6. Article
  7. Article
  8. Measurably evolving pathogens in the genomic era.Trends in ecology & evolution · 2015
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Reproductive clonality of pathogens: a perspective on pathogenic viruses, bacteria, fungi, and parasitic protozoa.Proceedings of the National Academy of Sciences of the United States of America · 2012
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Population genetics, taxonomy, phylogeny and evolution of Borrelia burgdorferi sensu lato.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2011
    Review
  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

3 authors.

Xavier DidelotDepartment of Statistics, University of Warwick, Coventry CV4 7AL, United Kingdom. x.Didelot@warwick.ac.uk
Aaron Darling
Daniel Falush

Funding

Wellcome TrustWellcome Trust WT082930MA
6 · The paper itself

Abstract

Acquisition and loss of genetic material are essential forces in bacterial microevolution. They have been repeatedly linked with adaptation of lineages to new lifestyles, and in particular, pathogenicity. Comparative genomics has the potential to elucidate this genetic flux, but there are many methodological challenges involved in inferring evolutionary events from collections of genome sequences. Here we describe a model-based method for using whole-genome sequences to infer the patterns of genome content evolution. A fundamental property of our model is that it allows the rates at which genetic elements are gained or lost to vary in time and from one lineage to another. Our approach is purely sequence based, and does not rely on gene identification. We show how inference can be performed under our model and illustrate its use on three datasets from Francisella tularensis, Streptococcus pyogenes, and Escherichia coli. In all three examples, we found interesting variations in the rates of genetic material gain and loss, which strongly correlate with their lifestyle. The algorithms we describe are implemented in a computer software named GenoPlast.

Indexed as

Evolution, MolecularGenome, BacterialComputer SimulationEscherichia coliForecastingFrancisella tularensisMarkov ChainsModels, GeneticMonte Carlo MethodPhylogenyShigellaStreptococcus pyogenes

Identifiers

PMID19015321
PMCPMC2652212

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.