Evidence map›Paper›PMID 25995212›Full record

ArticleGenetics2015

Worldwide Population Structure, Long-Term Demography, and Local Adaptation of Helicobacter pylori.

Valeria Montano, Xavier Didelot, Matthieu Foll, Bodo Linz, Richard Reinhardt, Sebastian Suerbaum, Yoshan Moodley, Jeffrey D Jensen

Abstract read
In one paragraph

Article in Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Microbiology and molecular biology reviews : MMBR · 2026
    Review
  2. Antibiotic Resistance and Genetic Determinants ofInternational journal of molecular sciences · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Pathogenomics of Helicobacter pylori.Current topics in microbiology and immunology · 2023
    Review
  8. The Role ofInternational journal of molecular sciences · 2022
    Review
  9. Article
  10. Review
  11. Understanding the Genetic Diversity ofFrontiers in genetics · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  16. Review
  17. Whole-Genome-BasedFrontiers in microbiology · 2021
    Article
  18. Article
  19. Article
  20. Detecting Positive Selection in Populations Using Genetic Data.Methods in molecular biology (Clifton, N.J.) · 2020
    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

8 authors.

Valeria MontanoDepartment of Integrative Biology and Evolution, Konrad Lorenz Institute for Ethology, University of Veterinary Medicine Vienna, Austria Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.
Xavier DidelotDepartment of Infectious Disease Epidemiology, Imperial College London, London W2 1PG, United Kingdom.
Matthieu FollSchool of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Bodo LinzDepartment of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, Pennsylvania 16801 Department of Molecular Biology, Max Planck Institute for Infection Biology, Berlin, Germany.
Richard ReinhardtMax Planck Genome Centre Cologne, D-50829 Cologne, Germany Max Planck Institute for Molecular Genetics, D-14195 Berlin, Germany.
Sebastian SuerbaumInstitute of Medical Microbiology and Hospital Epidemiology, Hannover Medical School, Hannover, Germany.
Yoshan MoodleyDepartment of Integrative Biology and Evolution, Konrad Lorenz Institute for Ethology, University of Veterinary Medicine Vienna, Austria Department of Zoology, University of Venda, Thohoyandou 0950, South Africa jeffrey.jensen@epfl.ch yoshan.moodley@univen.ac.za.
Jeffrey D JensenSchool of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Swiss Institute of Bioinformatics, Lausanne, Switzerland jeffrey.jensen@epfl.ch yoshan.moodley@univen.ac.za.

Funding

Medical Research Council MR/K010174/1
6 · The paper itself

Abstract

Helicobacter pylori is an important human pathogen associated with serious gastric diseases. Owing to its medical importance and close relationship with its human host, understanding genomic patterns of global and local adaptation in H. pylori may be of particular significance for both clinical and evolutionary studies. Here we present the first such whole genome analysis of 60 globally distributed strains, from which we inferred worldwide population structure and demographic history and shed light on interesting global and local events of positive selection, with particular emphasis on the evolution of San-associated lineages. Our results indicate a more ancient origin for the association of humans and H. pylori than previously thought. We identify several important perspectives for future clinical research on candidate selected regions that include both previously characterized genes (e.g., transcription elongation factor NusA and tumor necrosis factor alpha-inducing protein Tipα) and hitherto unknown functional genes.

Indexed as

Selection, GeneticAdaptation, PhysiologicalGenetic VariationGenome, BacterialGenomicsHelicobacter InfectionsHelicobacter pyloriHumansPhylogeographyadaptationhuman pathogensneutral evolution

Identifiers

PMID25995212
PMCPMC4512554

What OpenQuestion holds

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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.