Evidence map›Paper›PMID 26562841›Full record

ArticlePLoS pathogens2015

Diversity of Mycobacterium tuberculosis across Evolutionary Scales.

Mary B O'Neill, Tatum D Mortimer, Caitlin S Pepperell

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
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

38 citing papers in PubMed, 81 citations in OpenAlex.

  1. Article
  2. Article
  3. Resistance phenotypes and genomic features ofFrontiers in cellular and infection microbiology · 2025
    Article
  4. Article
  5. Article
  6. The chosen few:Frontiers in immunology · 2024
    Review
  7. Article
  8. Article
  9. Evolution ofFrontiers in cellular and infection microbiology · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Evolution of Drug-ResistantFrontiers in microbiology · 2021
    Review
  15. Article
  16. Article
  17. Genetic Diversity inAnnual review of genetics · 2020
    Review
  18. Observational
  19. Model-based integration of genomics and metabolomics reveals SNP functionality inProceedings of the National Academy of Sciences of the United States of America · 2020
    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 at 1 institution in 1 country.

Mary B O'NeillLaboratory of Genetics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Tatum D MortimerDepartment of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Caitlin S PepperellDepartment of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
University of Wisconsin–Madison · US

Funding

GRADUATE TRAINING IN MOLECULAR BIOSCIENCEST32GM007215 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI HULL, CHRISTINA M · 1985 to 2018
$22.5M
PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007133 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI PERNA, NICOLE T · 1985 to 2023
$16.5M
NIGMS NIH HHS T32 GM007133NIGMS NIH HHS T32 GM07133
6 · The paper itself

Abstract

Tuberculosis (TB) is a global public health emergency. Increasingly drug resistant strains of Mycobacterium tuberculosis (M.tb) continue to emerge and spread, highlighting adaptability of this pathogen. Most studies of M.tb evolution have relied on 'between-host' samples, in which each person with TB is represented by a single M.tb isolate. However, individuals with TB commonly harbor populations of M.tb numbering in the billions. Here, we use analyses of M.tb genomic data from within and between hosts to gain insight into influences shaping genetic diversity of this pathogen. We find that the amount of M.tb genetic diversity harbored by individuals with TB can vary dramatically, likely as a function of disease severity. Surprisingly, we did not find an appreciable impact of TB treatment on M.tb diversity. In examining genomic data from M.tb samples within and between hosts with TB, we find that genes involved in the regulation, synthesis, and transportation of immunomodulatory cell envelope lipids appear repeatedly in the extremes of various statistical measures of diversity. Many of these genes have been identified as possible targets of selection in other studies employing different methods and data sets. Taken together, these observations suggest that M.tb cell envelope lipids are targets of selection within hosts. Many of these lipids are specific to pathogenic mycobacteria and, in some cases, human-pathogenic mycobacteria. We speculate that rapid adaptation of cell envelope lipids is facilitated by functional redundancy, flexibility in their metabolism, and their roles mediating interactions with the host.

Indexed as

Biological EvolutionAntitubercular AgentsCell WallGenetic VariationHumansMycobacterium tuberculosisTuberculosisAntitubercular Agents

Identifiers

PMID26562841
PMCPMC4642946
OpenAlexW2952833392

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.