Evidence map›Paper›PMID 25136631›Full record

ArticleBioMed research international2014

Large-scale genomic analysis of codon usage in dengue virus and evaluation of its phylogenetic dependence.

Edgar E Lara-Ramírez, Ma Isabel Salazar, María de Jesús López-López, Juan Santiago Salas-Benito, Alejandro Sánchez-Varela, Xianwu Guo

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
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  4. Recent advances in the biological activities of microbial exopolysaccharides.World journal of microbiology & biotechnology · 2023
    Review
  5. Article
  6. Article
  7. Article
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  10. Codon adaptation biases among sylvatic and urban genotypes of Dengue virus type 2.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2018
    Article
  11. Article
  12. Review
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  15. 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

6 authors at 2 institutions in 1 country.

Edgar E Lara-RamírezLaboratory of Molecular Biomedicine, Center of Biotechnology on Genomics, National Polytechnic Institute, Colonia Narciso Mendoza, 88710 Reynosa, TAMPS, Mexico.
Ma Isabel SalazarLaboratory for Cellular Immunology and Immunopathogenesis, Department of Immunology, National School for Biological Sciences (ENCB), National Polytechnic Institute, 11340 New Mexico, DF, Mexico.
María de Jesús López-LópezLaboratory of Molecular Biomedicine, Center of Biotechnology on Genomics, National Polytechnic Institute, Colonia Narciso Mendoza, 88710 Reynosa, TAMPS, Mexico.
Juan Santiago Salas-BenitoLaboratory for Biomedicine, Department of Virology, National School of Medicine and Homeopathy, National Polytechnic Institute, 11340 New Mexico, DF, Mexico.
Alejandro Sánchez-VarelaLaboratory of Molecular Biomedicine, Center of Biotechnology on Genomics, National Polytechnic Institute, Colonia Narciso Mendoza, 88710 Reynosa, TAMPS, Mexico.
Xianwu GuoLaboratory of Molecular Biomedicine, Center of Biotechnology on Genomics, National Polytechnic Institute, Colonia Narciso Mendoza, 88710 Reynosa, TAMPS, Mexico.ORCID 0000-0003-2013-5853
Tecnológico Nacional de México · MXInstituto Politécnico Nacional · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing number of dengue virus (DENV) genome sequences available allows identifying the contributing factors to DENV evolution. In the present study, the codon usage in serotypes 1-4 (DENV1-4) has been explored for 3047 sequenced genomes using different statistics methods. The correlation analysis of total GC content (GC) with GC content at the three nucleotide positions of codons (GC1, GC2, and GC3) as well as the effective number of codons (ENC, ENCp) versus GC3 plots revealed mutational bias and purifying selection pressures as the major forces influencing the codon usage, but with distinct pressure on specific nucleotide position in the codon. The correspondence analysis (CA) and clustering analysis on relative synonymous codon usage (RSCU) within each serotype showed similar clustering patterns to the phylogenetic analysis of nucleotide sequences for DENV1-4. These clustering patterns are strongly related to the virus geographic origin. The phylogenetic dependence analysis also suggests that stabilizing selection acts on the codon usage bias. Our analysis of a large scale reveals new feature on DENV genomic evolution.

Indexed as

Evolution, MolecularPhylogenyBase CompositionBase SequenceCodonDengueDengue VirusGenome, ViralHumansMutationCodon

Identifiers

PMID25136631
PMCPMC4124757
OpenAlexW2145623832

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.