Evidence map›Paper›PMID 24618815›Full record

ArticlePloS one2014

Whole genome sequencing of Mycobacterium tuberculosis reveals slow growth and low mutation rates during latent infections in humans.

Roberto Colangeli, Vic L Arcus, Ray T Cursons, Ali Ruthe, Noel Karalus, Kathy Coley, Shannon D Manning, Soyeon Kim, Emily Marchiano, David Alland

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
7.7field-weighted citation impact, top 2% 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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 92 citations in OpenAlex.

  1. ClinicalFrontiers in microbiology · 2025
    Pooled it
  2. Pooled it
  3. Article
  4. Long-term refined genomic analysis of tuberculosis clusters to distinguish between ongoing transmission, reactivations or diagnostic delays, Almería, Spain, 2003 to 2024.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026
    Article
  5. Article
  6. Article
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  8. Bayesian phylodynamic inference of population dynamics with dormancy.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Bayesian phylodynamic inference of population dynamics with dormancy.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Microbiology spectrum · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. The Biological and Clinical Aspects of a Latent Tuberculosis Infection.Tropical medicine and infectious disease · 2022
    Review
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

10 authors at 5 institutions in 2 countries.

Roberto ColangeliDepartment of Medicine, Rutgers-New Jersey Medical School, Newark, New Jersey, United States of America.
Vic L ArcusDepartment of Biological Sciences, University of Waikato, Hamilton, New Zealand.
Ray T CursonsDepartment of Biological Sciences, University of Waikato, Hamilton, New Zealand.
Ali RutheDepartment of Biological Sciences, University of Waikato, Hamilton, New Zealand.
Noel KaralusRespiratory Research Unit, Waikato Hospital, Hamilton, New Zealand.
Kathy ColeyDepartment of Pathology, Waikato Hospital, Hamilton, New Zealand.
Shannon D ManningDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, United States of America.
Soyeon KimDepartment of Preventive Medicine, Rutgers-New Jersey Medical School, Newark, New Jersey, United States of America.
Emily MarchianoDepartment of Medicine, Rutgers-New Jersey Medical School, Newark, New Jersey, United States of America.
David AllandDepartment of Medicine, Rutgers-New Jersey Medical School, Newark, New Jersey, United States of America.
Rutgers, The State University of New Jersey · USUniversity of Waikato · NZWaikato Hospital · NZMichigan United · USRutgers New Jersey Medical School · US

Funding

US-Brazil Research Collaboration on Strain Variation in TBU01AI065663 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI ELLNER, JERROLD J. · 2005 to 2015
$5.2M
TUBERCULOSIS GENOTYPING AND EVOLUTIONARY CONSORTIUMR01AI049352 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI ALLAND, DAVID · 2002 to 2005
$2.0M
NIAID NIH HHS AI065663NIAID NIH HHS AI49352NIAID NIH HHS R01 AI049352NIAID NIH HHS U01 AI065663
6 · The paper itself

Abstract

Very little is known about the growth and mutation rates of Mycobacterium tuberculosis during latent infection in humans. However, studies in rhesus macaques have suggested that latent infections have mutation rates that are higher than that observed during active tuberculosis disease. Elevated mutation rates are presumed risk factors for the development of drug resistance. Therefore, the investigation of mutation rates during human latency is of high importance. We performed whole genome mutation analysis of M. tuberculosis isolates from a multi-decade tuberculosis outbreak of the New Zealand Rangipo strain. We used epidemiological and phylogenetic analysis to identify four cases of tuberculosis acquired from the same index case. Two of the tuberculosis cases occurred within two years of exposure and were classified as recently transmitted tuberculosis. Two other cases occurred more than 20 years after exposure and were classified as reactivation of latent M. tuberculosis infections. Mutation rates were compared between the two recently transmitted pairs versus the two latent pairs. Mean mutation rates assuming 20 hour generation times were 5.5 X 10(-10) mutations/bp/generation for recently transmitted tuberculosis and 7.3 X 10(-11) mutations/bp/generation for latent tuberculosis. Generation time versus mutation rate curves were also significantly higher for recently transmitted tuberculosis across all replication rates (p = 0.006). Assuming identical replication and mutation rates among all isolates in the final two years before disease reactivation, the u 20 hr mutation rate attributable to the remaining latent period was 1.6 × 10(-11) mutations/bp/generation, or approximately 30 fold less than that calculated during the two years immediately before disease. Mutations attributable to oxidative stress as might be caused by bacterial exposure to the host immune system were not increased in latent infections. In conclusion, we did not find any evidence to suggest elevated mutation rates during tuberculosis latency in humans, unlike the situation in rhesus macaques.

Indexed as

Genome, BacterialMutationDisease OutbreaksEvolution, MolecularHigh-Throughput Nucleotide SequencingHumansLatent TuberculosisMutation RateMycobacterium tuberculosisNew ZealandPhylogenyPolymorphism, GeneticPolymorphism, Single Nucleotide

Identifiers

PMID24618815
PMCPMC3949705
OpenAlexW2065182793

What OpenQuestion holds

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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.