Evidence map›Paper›PMID 22705463›Full record

ArticleInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2012

Translational selection of genes coding for perfectly conserved proteins among three mosquito vectors.

Olaf Rodriguez, Brajendra K Singh, David W Severson, Susanta K Behura

Abstract read
In one paragraph

Article in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

4 authors.

Olaf RodriguezEck Institute for Global Health, Department of Biological Sciences, University of Notre Dame, IN, USA.
Brajendra K Singh
David W Severson
Susanta K Behura

Funding

Molecular Genetics of Dengue Resistance in MosquitoesR01AI059342 · NIAID · UNIVERSITY OF NOTRE DAME · PI SEVERSON, DAVID W · 2004 to 2008
$3.2M
Diapause in Culex MosquitoesR01AI079125 · NIAID · UNIVERSITY OF NOTRE DAME · PI SEVERSON, DAVID W · 2009 to 2013
$3.0M
NIAID NIH HHS R01 AI059342NIAID NIH HHS R01-AI059342NIAID NIH HHS R01 AI079125
6 · The paper itself

Abstract

The biased usage of synonymous codons affects translational efficiency of genes. We studied codon usage patterns of genes that are perfectly conserved at the amino acid level among three important mosquito vector species: Aedes aegypti (vector of dengue virus), Anopheles gambiae (vector of malaria) and Culex quinquefasciatus (vector of lymphatic filariasis and West Nile Virus). Although these proteins have the same amino acid sequences, non-random usage of synonymous codons is evident among the orthologous genes. The coding sequences of these genes were simulated to generate random mutation sites to be further investigated for patterns of codon bias. It was found that codon usage bias is significantly higher in genes that represented perfectly conserved proteins than genes where variation was apparent at the amino acid sequence. Our results suggest that genes coding for perfectly conserved proteins are highly biased with optimized codons and may be under stringent translational selection in these vector species.

Indexed as

Protein BiosynthesisAedesAmino Acid SequenceAnimalsAnophelesBase CompositionCluster AnalysisCodonConserved SequenceCulexEvolution, MolecularInsect ProteinsInsect VectorsLogistic ModelsModels, GeneticMolecular Sequence DataCodonInsect Proteins

Identifiers

PMID22705463
PMCPMC3428495

What OpenQuestion holds

Textmetadata
LicenceTDM
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.