Evidence map›Paper›PMID 30478412›Full record

ArticleScientific reports2018

Genomic Analysis of Colombian Leishmania panamensis strains with different level of virulence.

Daniel Alfonso Urrea, Jorge Duitama, Hideo Imamura, Juan F Álzate, Juanita Gil, Natalia Muñoz, Janny Alexander Villa, Jean-Claude Dujardin, José R Ramirez-Pineda, Omar Triana-Chavez

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Unraveling the Genome Diversity ofLife (Basel, Switzerland) · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Genome Assembly and Genome Annotation ofJournal of parasitology research · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Genomic Diversification, Structural Plasticity, and Hybridization inFrontiers in cellular and infection microbiology · 2020
    Article
  15. Article
  16. 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

10 authors.

Daniel Alfonso UrreaGrupo Biología y Control de Enfermedades Infecciosas, Universidad de Antioquia, Medellín, Colombia.
Jorge DuitamaSystems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
Hideo ImamuraInstitute of Tropical Medicine, Antwerpen, Belgium.
Juan F ÁlzateCentro Nacional de Secuenciación Genómica, Universidad de Antioquia, Medellín, Colombia.
Juanita GilSystems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
Natalia MuñozGrupo Inmunomodulación, Universidad de Antioquia, Medellín, Colombia.
Janny Alexander VillaGrupo Inmunomodulación, Universidad de Antioquia, Medellín, Colombia.
Jean-Claude DujardinInstitute of Tropical Medicine, Antwerpen, Belgium.
José R Ramirez-PinedaGrupo Inmunomodulación, Universidad de Antioquia, Medellín, Colombia.
Omar Triana-ChavezGrupo Biología y Control de Enfermedades Infecciosas, Universidad de Antioquia, Medellín, Colombia. omar.triana@udea.edu.co.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The establishment of Leishmania infection in mammalian hosts and the subsequent manifestation of clinical symptoms require internalization into macrophages, immune evasion and parasite survival and replication. Although many of the genes involved in these processes have been described, the genetic and genomic variability associated to differences in virulence is largely unknown. Here we present the genomic variation of four Leishmania (Viannia) panamensis strains exhibiting different levels of virulence in BALB/c mice and its application to predict novel genes related to virulence. De novo DNA sequencing and assembly of the most virulent strain allowed comparative genomics analysis with sequenced L. (Viannia) panamensis and L. (Viannia) braziliensis strains, and showed important variations at intra and interspecific levels. Moreover, the mutation detection and a CNV search revealed both base and structural genomic variation within the species. Interestingly, we found differences in the copy number and protein diversity of some genes previously related to virulence. Several machine-learning approaches were applied to combine previous knowledge with features derived from genomic variation and predict a curated set of 66 novel genes related to virulence. These genes can be prioritized for validation experiments and could potentially become promising drug and immune targets for the development of novel prophylactic and therapeutic interventions.

Indexed as

AnimalsColombiaDNA Copy Number VariationsFemaleGenome, ProtozoanLeishmania braziliensisLeishmania guyanensisLeishmaniasis, MucocutaneousMachine LearningMice, Inbred BALB CPolymorphism, Single NucleotideSequence Analysis, DNA

Identifiers

PMID30478412
PMCPMC6255768

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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.