Evidence map›Paper›PMID 26806595›Full record

ReviewNature reviews. Microbiology2016

Within-host evolution of bacterial pathogens.

Xavier Didelot, A Sarah Walker, Tim E Peto, Derrick W Crook, Daniel J Wilson

Abstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 291 papers.

0numbers the graph read from it
0cells of the map it votes in
291citing 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

291 citing papers in PubMed.

  1. Article
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  4. Review
  5. Diversity of biofilm architectures within the genusApplied and environmental microbiology · 2026
    Article
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  8. Article
  9. Review
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  12. Review
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  18. Article
  19. Review
  20. mSphere · 2026
    Article

231 more citing papers are in PubMed but not listed here.

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

5 authors.

Xavier DidelotDepartment of Infectious Disease Epidemiology, Imperial College, London W2 1PG, UK.
A Sarah WalkerNuffield Department of Medicine, Experimental Medicine Division, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Tim E PetoNuffield Department of Medicine, Experimental Medicine Division, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Derrick W CrookNuffield Department of Medicine, Experimental Medicine Division, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Daniel J WilsonNuffield Department of Medicine, Experimental Medicine Division, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/L023458/1Department of Health HICF‑T5‑358Department of Health IS-HPU-1112-10041Department of Health IS-HPU-1112-10080Medical Research Council MR/K010174/1Wellcome Trust 098615Wellcome Trust 101237
6 · The paper itself

Abstract

Whole-genome sequencing has opened the way for investigating the dynamics and genomic evolution of bacterial pathogens during the colonization and infection of humans. The application of this technology to the longitudinal study of adaptation in an infected host--in particular, the evolution of drug resistance and host adaptation in patients who are chronically infected with opportunistic pathogens--has revealed remarkable patterns of convergent evolution, suggestive of an inherent repeatability of evolution. In this Review, we describe how these studies have advanced our understanding of the mechanisms and principles of within-host genome evolution, and we consider the consequences of findings such as a potent adaptive potential for pathogenicity. Finally, we discuss the possibility that genomics may be used in the future to predict the clinical progression of bacterial infections and to suggest the best option for treatment.

Indexed as

Evolution, MolecularGenome, BacterialAdaptation, PhysiologicalAnti-Bacterial AgentsBacteriaBacterial InfectionsDrug Resistance, BacterialGenomicsHigh-Throughput Nucleotide SequencingHost-Pathogen InteractionsHumansAnti-Bacterial Agents

Identifiers

PMID26806595
PMCPMC5053366

What OpenQuestion holds

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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.