Evidence map›Paper›PMID 23472164›Full record

ArticlePloS one2013

Use of whole genome sequencing to determine the microevolution of Mycobacterium tuberculosis during an outbreak.

Midori Kato-Maeda, Christine Ho, Ben Passarelli, Niaz Banaei, Jennifer Grinsdale, Laura Flores, Jillian Anderson, Megan Murray, Graham Rose, L Masae Kawamura and 4 more

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 3 pooled it
–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

45 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. ClinicalFrontiers in microbiology · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Pediatric Tuberculosis: The Impact of "Omics" on Diagnostics Development.International journal of molecular sciences · 2020
    Review
  13. Microorganisms · 2020
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Tuberculosis research and treatment · 2018
    Review
  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

14 authors.

Midori Kato-MaedaCurry International Tuberculosis Center, Division of Pulmonary and Critical Care Medicine, University of California San Francisco, San Francisco, California, USA. midori.kato-maeda@ucsf.edu
Christine Ho
Ben Passarelli
Niaz Banaei
Jennifer Grinsdale
Laura Flores
Jillian Anderson
Megan Murray
Graham Rose
L Masae Kawamura
Nader Pourmand
Muhammad A Tariq
Sebastien Gagneux
Philip C Hopewell

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI HOWE, ROGER THOMAS, JI, HANLEE P · 1990 to 2016
$120.9M
POPULATION-BASED MOLECULAR EPIDEMIOLOGY OF TUBERCULOSISR01AI034238 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOPEWELL, PHILIP C · 1993 to 2010
$9.3M
A NEW ES CELL DELETION RESOURCE AND WILLIAMS SYNDROMEF32HG000205 · NHGRI · JACKSON LABORATORY · PI GOODWIN, NEAL C · 1999 to 1999
–
Medical Research Council U117588500NHGRI NIH HHS F32 HG000205NHGRI NIH HHS P01-35HG000205NHGRI NIH HHS P01 HG000205NIAID NIH HHS AI034238NIAID NIH HHS R01 AI034238
6 · The paper itself

Abstract

rationaleCurrent tools available to study the molecular epidemiology of tuberculosis do not provide information about the directionality and sequence of transmission for tuberculosis cases occurring over a short period of time, such as during an outbreak. Recently, whole genome sequencing has been used to study molecular epidemiology of Mycobacterium tuberculosis over short time periods.

objectiveTo describe the microevolution of M. tuberculosis during an outbreak caused by one drug-susceptible strain. METHOD AND MEASUREMENTS: We included 9 patients with tuberculosis diagnosed during a period of 22 months, from a population-based study of the molecular epidemiology in San Francisco. Whole genome sequencing was performed using Illumina's sequencing by synthesis technology. A custom program written in Python was used to determine single nucleotide polymorphisms which were confirmed by PCR product Sanger sequencing. MAIN

resultsWe obtained an average of 95.7% (94.1-96.9%) coverage for each isolate and an average fold read depth of 73 (1 to 250). We found 7 single nucleotide polymorphisms among the 9 isolates. The single nucleotide polymorphisms data confirmed all except one known epidemiological link. The outbreak strain resulted in 5 bacterial variants originating from the index case A1 with 0-2 mutations per transmission event that resulted in a secondary case.

conclusionsWhole genome sequencing analysis from a recent outbreak of tuberculosis enabled us to identify microevolutionary events observable during transmission, to determine 0-2 single nucleotide polymorphisms per transmission event that resulted in a secondary case, and to identify new epidemiologic links in the chain of transmission.

Indexed as

Evolution, MolecularSequence Analysis, DNAAdolescentAdultDisease OutbreaksGenome, BacterialGenotypeHumansMaleMutationMycobacterium tuberculosisPhylogenyPolymerase Chain ReactionPolymorphism, Single NucleotideSan FranciscoTuberculosis

Identifiers

PMID23472164
PMCPMC3589338

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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.