Evidence map›Paper›PMID 21112962›Full record

ArticleMolecular biology and evolution2011

Testing spatiotemporal hypothesis of bacterial evolution using methicillin-resistant Staphylococcus aureus ST239 genome-wide data within a bayesian framework.

Rebecca R Gray, Andrew J Tatem, Judith A Johnson, Alexander V Alekseyenko, Oliver G Pybus, Marc A Suchard, Marco Salemi

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
  2. Dynamic Networks of Methicillin-ResistantOpen forum infectious diseases · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Unexpected Predictors of Antibiotic Resistance in Housekeeping Genes of Staphylococcus Aureus.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2019
    Article
  12. Article
  13. Local Diversification of Methicillin- ResistantFrontiers in microbiology · 2019
    Article
  14. Review
  15. The distribution of bacterial doubling times in the wild.Proceedings. Biological sciences · 2018
    Article
  16. Observational
  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

7 authors.

Rebecca R GrayEmerging Pathogens Institute, University of Florida, FL, USA. rgray@ufl.edu
Andrew J Tatem
Judith A Johnson
Alexander V Alekseyenko
Oliver G Pybus
Marc A Suchard
Marco Salemi

Funding

Viral evolution in peropheral macrophages and brain during progression to AIDSR01NS063897 · NINDS · UNIVERSITY OF FLORIDA · PI SALEMI, MARCO · 2009 to 2021
$7.0M
TRAINING IN THE CELL BIOLOGY AND IMMUNOBIOLOGY OF CANCERT32CA009126 · NCI · UNIVERSITY OF FLORIDA · PI MAY, WILLIAM STRATFORD · 1985 to 2012
$3.5M
NCI NIH HHS CA09126NCI NIH HHS T32 CA009126NINDS NIH HHS R01 NS063897
6 · The paper itself

Abstract

Staphylococcus aureus is a common cause of infections that has undergone rapid global spread over recent decades. Formal phylogeographic methods have not yet been applied to the molecular epidemiology of bacterial pathogens because the limited genetic diversity of data sets based on individual genes usually results in poor phylogenetic resolution. Here, we investigated a whole-genome single nucleotide polymorphism (SNP) data set of health care-associated Methicillin-resistant S. aureus sequence type 239 (HA-MRSA ST239) strains, which we analyzed using Markov spatial models that incorporate geographical sampling distributions. The reconstructed timescale indicated a temporal origin of this strain shortly after the introduction of Methicillin, followed by global pandemic spread. The estimate of the temporal origin was robust to the molecular clock, coalescent prior, full/intergenic/synonymous SNP inclusion, and correction for excluded invariant site patterns. Finally, phylogeographic analyses statistically supported the role of human movement in the global dissemination of HA-MRSA ST239, although it was unable to conclusively resolve the location of the root. This study demonstrates that bacterial genomes can indeed contain sufficient evolutionary information to elucidate the temporal and spatial dynamics of transmission. Future applications of this approach to other bacterial strains may provide valuable epidemiological insights that may justify the cost of genome-wide typing.

Indexed as

Evolution, MolecularBayes TheoremCommunicable DiseasesGenome-Wide Association StudyHumansLikelihood FunctionsMarkov ChainsMethicillin-Resistant Staphylococcus aureusModels, GeneticPhylogenyPhylogeographyStaphylococcal Infections

Identifiers

PMID21112962
PMCPMC3115679

What OpenQuestion holds

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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.