Evidence map›Paper›PMID 19915672›Full record

ArticlePloS one2009

Genotyping of genetically monomorphic bacteria: DNA sequencing in Mycobacterium tuberculosis highlights the limitations of current methodologies.

Iñaki Comas, Susanne Homolka, Stefan Niemann, Sebastien Gagneux

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 234 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
234citing papers in PubMed, 2 pooled it
19.6field-weighted citation impact, top 1% 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

234 citing papers in PubMed, 2 syntheses or guidelines pooled it, 412 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Review
  8. High Molecular Diversity ofInternational journal of molecular sciences · 2025
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  11. Epidemiological Profile andInternational journal of microbiology · 2025
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  12. Evidence ofFrontiers in veterinary science · 2025
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  13. Epidemiology ofFrontiers in veterinary science · 2025
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  14. Performance evaluation of core genome multilocus sequence typing for genotyping of Mycobacterium tuberculosis strains in China: based on multicenter, population-based collection.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  15. Whole-genome sequencing reveals transmission pattern and drug resistance ofFrontiers in cellular and infection microbiology · 2024
    Article
  16. InsideFrontiers in microbiology · 2024
    Article
  17. Novel Network Method Major Minor Variation Clustering Enables Identification of Poliovirus Clusters with High-Resolution Linkages.Journal of computational biology : a journal of computational molecular cell biology · 2023
    Article
  18. Article
  19. Review
  20. Review

174 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

4 authors at 2 institutions in 2 countries.

Iñaki ComasDivision of Mycobacterial Research, Medical Research Council, National Institute for Medical Research, London, UK.
Susanne Homolka
Stefan Niemann
Sebastien Gagneux
Medical Research Council · GBResearch Center Borstel - Leibniz Lung Center · DE

Funding

POPULATION-BASED MOLECULAR EPIDEMIOLOGY OF TUBERCULOSISR01AI034238 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOPEWELL, PHILIP C · 1993 to 2010
$9.3M
Medical Research Council MC_U117588500NIAID NIH HHS AI034238NIAID NIH HHS R01 AI034238PHS HHS HHSN266200700022C
6 · The paper itself

Abstract

Because genetically monomorphic bacterial pathogens harbour little DNA sequence diversity, most current genotyping techniques used to study the epidemiology of these organisms are based on mobile or repetitive genetic elements. Molecular markers commonly used in these bacteria include Clustered Regulatory Short Palindromic Repeats (CRISPR) and Variable Number Tandem Repeats (VNTR). These methods are also increasingly being applied to phylogenetic and population genetic studies. Using the Mycobacterium tuberculosis complex (MTBC) as a model, we evaluated the phylogenetic accuracy of CRISPR- and VNTR-based genotyping, which in MTBC are known as spoligotyping and Mycobacterial Interspersed Repetitive Units (MIRU)-VNTR-typing, respectively. We used as a gold standard the complete DNA sequences of 89 coding genes from a global strain collection. Our results showed that phylogenetic trees derived from these multilocus sequence data were highly congruent and statistically robust, irrespective of the phylogenetic methods used. By contrast, corresponding phylogenies inferred from spoligotyping or 15-loci-MIRU-VNTR were incongruent with respect to the sequence-based trees. Although 24-loci-MIRU-VNTR performed better, it was still unable to detect all strain lineages. The DNA sequence data showed virtually no homoplasy, but the opposite was true for spoligotyping and MIRU-VNTR, which was consistent with high rates of convergent evolution and the low statistical support obtained for phylogenetic groupings defined by these markers. Our results also revealed that the discriminatory power of the standard 24 MIRU-VNTR loci varied by strain lineage. Taken together, our findings suggest strain lineages in MTBC should be defined based on phylogenetically robust markers such as single nucleotide polymorphisms or large sequence polymorphisms, and that for epidemiological purposes, MIRU-VNTR loci should be used in a lineage-dependent manner. Our findings have implications for strain typing in other genetically monomorphic bacteria.

Indexed as

Bacterial Typing TechniquesGenotypeCell LineageDNA, BacterialDNA FingerprintingDNA Transposable ElementsGenetic MarkersHumansMycobacterium tuberculosisPhylogenyPolymorphism, Single NucleotideSequence Analysis, DNADNA, BacterialDNA Transposable ElementsGenetic Markers

Identifiers

PMID19915672
PMCPMC2772813
OpenAlexW2003025878

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.