Evidence map›Paper›PMID 38932218›Full record

ArticleViruses2024

Accurate Recapitulation of Chikungunya Virus Complete Coding Sequence Phylogeny Using Variable Genome Regions for Genomic Surveillance.

Eduardo D Rodríguez-Aguilar, Everardo Gutiérrez-Millán, Mario H Rodríguez

Abstract read
In one paragraph

Article in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

3 authors.

Eduardo D Rodríguez-AguilarCenter for Infectious Disease Research, National Institute of Public Health of Mexico, Av. Universidad 655, Cuernavaca 62100, Mexico.ORCID 0000-0003-2824-8924
Everardo Gutiérrez-MillánCenter for Infectious Disease Research, National Institute of Public Health of Mexico, Av. Universidad 655, Cuernavaca 62100, Mexico.
Mario H RodríguezCenter for Infectious Disease Research, National Institute of Public Health of Mexico, Av. Universidad 655, Cuernavaca 62100, Mexico.ORCID 0000-0001-5361-2877

Funding

Consejo Nacional de Humanidades, Ciencias y Tecnologías 261775
6 · The paper itself

Abstract

Chikungunya virus (CHIKV) is transmitted by mosquito bites and causes chikungunya fever (CHIKF). CHIKV has a single-stranded RNA genome and belongs to a single serotype with three genotypes. The Asian lineage has recently emerged in the Western Hemisphere, likely due to travel-associated introduction. Genetic variation accumulates in the CHIKV genome as the virus replicates, creating new lineages. Whole genome sequencing is ideal for studying virus evolution and spread but is expensive and complex. This study investigated whether specific, highly variable regions of the CHIKV genome could recapitulate the phylogeny obtained with a complete coding sequence (CDS). Our results revealed that concatenated highly variable regions accurately reconstructed CHIKV phylogeny, exhibiting statistically indistinguishable branch lengths and tree confidence compared to CDS. In addition, these regions adequately inferred the evolutionary relationships among CHIKV isolates from the American outbreak with similar results to the CDS. This finding suggests that highly variable regions can effectively capture the evolutionary relationships among CHIKV isolates, offering a simpler approach for future studies. This approach could be particularly valuable for large-scale surveillance efforts.

Indexed as

Chikungunya FeverChikungunya virusGenetic VariationGenome, ViralPhylogenyAnimalsEvolution, MolecularGenomicsGenotypeHumansOpen Reading FramesRNA, ViralWhole Genome SequencingRNA, ViralChikungunya virusgenomic surveillancephylogeny

Identifiers

PMID38932218
PMCPMC11209212

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.