Evidence map›Paper›PMID 26565975›Full record

ArticlePloS one2015

TGS-TB: Total Genotyping Solution for Mycobacterium tuberculosis Using Short-Read Whole-Genome Sequencing.

Tsuyoshi Sekizuka, Akifumi Yamashita, Yoshiro Murase, Tomotada Iwamoto, Satoshi Mitarai, Seiya Kato, Makoto Kuroda

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Open-access genomic drug resistance prediction tools forJournal of clinical microbiology · 2026
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Journal of clinical tuberculosis and other mycobacterial diseases · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Non-tuberculous mycobacterial disease associated withFrontiers in veterinary science · 2023
    Article
  12. Review
  13. Genes · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Genomic Analysis of Multidrug-ResistantFrontiers in genetics · 2021
    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

7 authors.

Tsuyoshi SekizukaPathogen Genomics Center, National Institute of Infectious Diseases, Shinjyuku-ku, Tokyo, Japan.
Akifumi YamashitaPathogen Genomics Center, National Institute of Infectious Diseases, Shinjyuku-ku, Tokyo, Japan.
Yoshiro MuraseMolecular Epidemiology Division, The Research Institute of Tuberculosis/Japan Anti-Tuberculosis Association, Kiyose, Tokyo, Japan.
Tomotada IwamotoDepartment of Infectious Diseases, Kobe Institute of Health, Chuo-ku, Kobe, Japan.
Satoshi MitaraiBacteriology Division, Department of Mycobacterium Reference and Research, Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Kiyose, Tokyo, Japan.
Seiya KatoResearch Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Kiyose, Tokyo, Japan.
Makoto KurodaPathogen Genomics Center, National Institute of Infectious Diseases, Shinjyuku-ku, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing (WGS) with next-generation DNA sequencing (NGS) is an increasingly accessible and affordable method for genotyping hundreds of Mycobacterium tuberculosis (Mtb) isolates, leading to more effective epidemiological studies involving single nucleotide variations (SNVs) in core genomic sequences based on molecular evolution. We developed an all-in-one web-based tool for genotyping Mtb, referred to as the Total Genotyping Solution for TB (TGS-TB), to facilitate multiple genotyping platforms using NGS for spoligotyping and the detection of phylogenies with core genomic SNVs, IS6110 insertion sites, and 43 customized loci for variable number tandem repeat (VNTR) through a user-friendly, simple click interface. This methodology is implemented with a KvarQ script to predict MTBC lineages/sublineages and potential antimicrobial resistance. Seven Mtb isolates (JP01 to JP07) in this study showing the same VNTR profile were accurately discriminated through median-joining network analysis using SNVs unique to those isolates. An additional IS6110 insertion was detected in one of those isolates as supportive genetic information in addition to core genomic SNVs. The results of in silico analyses using TGS-TB are consistent with those obtained using conventional molecular genotyping methods, suggesting that NGS short reads could provide multiple genotypes to discriminate multiple strains of Mtb, although longer NGS reads (≥ 300-mer) will be required for full genotyping on the TGS-TB web site. Most available short reads (~100-mer) can be utilized to discriminate the isolates based on the core genome phylogeny. TGS-TB provides a more accurate and discriminative strain typing for clinical and epidemiological investigations; NGS strain typing offers a total genotyping solution for Mtb outbreak and surveillance. TGS-TB web site: https://gph.niid.go.jp/tgs-tb/.

Indexed as

Genome, BacterialBacterial Typing TechniquesCell LineageComputational BiologyDrug Resistance, BacterialGenomicsGenotyping TechniquesHumansMinisatellite RepeatsMolecular EpidemiologyMycobacterium tuberculosisPhylogenyPolymorphism, Restriction Fragment LengthPolymorphism, Single NucleotideSequence Analysis, DNATuberculosis

Identifiers

PMID26565975
PMCPMC4643978

What OpenQuestion holds

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LicenceCC BY
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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.