Evidence map›Paper›PMID 25167160›Full record

ArticlePLoS neglected tropical diseases2014

Optimized multilocus sequence typing (MLST) scheme for Trypanosoma cruzi.

Patricio Diosque, Nicolás Tomasini, Juan José Lauthier, Louisa Alexandra Messenger, María Mercedes Monje Rumi, Paula Gabriela Ragone, Anahí Maitén Alberti-D'Amato, Cecilia Pérez Brandán, Christian Barnabé, Michel Tibayrenc and 4 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

  1. Deep Sequencing of mHVRs for Trypanosoma cruzi Genotyping.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. Article
  3. Genetic diversity ofCurrent research in parasitology & vector-borne diseases · 2025
    Article
  4. New insights intoFrontiers in immunology · 2024
    Review
  5. Article
  6. Article
  7. Guide RNA Repertoires in the Main Lineages ofFrontiers in cellular and infection microbiology · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

14 authors.

Patricio DiosqueUnidad de Epidemiología Molecular (UEM), Instituto de Patología Experimental, CONICET- Universidad Nacional de Salta, Salta, Argentina.
Nicolás TomasiniUnidad de Epidemiología Molecular (UEM), Instituto de Patología Experimental, CONICET- Universidad Nacional de Salta, Salta, Argentina.
Juan José LauthierUnidad de Epidemiología Molecular (UEM), Instituto de Patología Experimental, CONICET- Universidad Nacional de Salta, Salta, Argentina.
Louisa Alexandra MessengerFaculty of Infectious and Tropical Diseases, Department of Pathogen Molecular Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
María Mercedes Monje RumiUnidad de Epidemiología Molecular (UEM), Instituto de Patología Experimental, CONICET- Universidad Nacional de Salta, Salta, Argentina.
Paula Gabriela RagoneUnidad de Epidemiología Molecular (UEM), Instituto de Patología Experimental, CONICET- Universidad Nacional de Salta, Salta, Argentina.
Anahí Maitén Alberti-D'AmatoUnidad de Epidemiología Molecular (UEM), Instituto de Patología Experimental, CONICET- Universidad Nacional de Salta, Salta, Argentina.
Cecilia Pérez BrandánUnidad de Epidemiología Molecular (UEM), Instituto de Patología Experimental, CONICET- Universidad Nacional de Salta, Salta, Argentina.
Christian BarnabéMaladies Infectieuses et Vecteurs Ecologie, Génétique, Evolution et Contrôle, MIVEGEC (IRD 224-CNRS 5290-UM1-UM2), IRD Center, Montpellier, France.
Michel TibayrencMaladies Infectieuses et Vecteurs Ecologie, Génétique, Evolution et Contrôle, MIVEGEC (IRD 224-CNRS 5290-UM1-UM2), IRD Center, Montpellier, France.
Michael David LewisFaculty of Infectious and Tropical Diseases, Department of Pathogen Molecular Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Martin Stephen LlewellynFaculty of Infectious and Tropical Diseases, Department of Pathogen Molecular Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Michael Alexander MilesFaculty of Infectious and Tropical Diseases, Department of Pathogen Molecular Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Matthew YeoFaculty of Infectious and Tropical Diseases, Department of Pathogen Molecular Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trypanosoma cruzi, the aetiological agent of Chagas disease possess extensive genetic diversity. This has led to the development of a plethora of molecular typing methods for the identification of both the known major genetic lineages and for more fine scale characterization of different multilocus genotypes within these major lineages. Whole genome sequencing applied to large sample sizes is not currently viable and multilocus enzyme electrophoresis, the previous gold standard for T. cruzi typing, is laborious and time consuming. In the present work, we present an optimized Multilocus Sequence Typing (MLST) scheme, based on the combined analysis of two recently proposed MLST approaches. Here, thirteen concatenated gene fragments were applied to a panel of T. cruzi reference strains encompassing all known genetic lineages. Concatenation of 13 fragments allowed assignment of all strains to the predicted Discrete Typing Units (DTUs), or near-clades, with the exception of one strain that was an outlier for TcV, due to apparent loss of heterozygosity in one fragment. Monophyly for all DTUs, along with robust bootstrap support, was restored when this fragment was subsequently excluded from the analysis. All possible combinations of loci were assessed against predefined criteria with the objective of selecting the most appropriate combination of between two and twelve fragments, for an optimized MLST scheme. The optimum combination consisted of 7 loci and discriminated between all reference strains in the panel, with the majority supported by robust bootstrap values. Additionally, a reduced panel of just 4 gene fragments displayed high bootstrap values for DTU assignment and discriminated 21 out of 25 genotypes. We propose that the seven-fragment MLST scheme could be used as a gold standard for T. cruzi typing, against which other typing approaches, particularly single locus approaches or systematic PCR assays based on amplicon size, could be compared.

Indexed as

GenotypeMultilocus Sequence TypingParasitologyTrypanosoma cruzi

Identifiers

PMID25167160
PMCPMC4148231

What OpenQuestion holds

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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.