Evidence map›Paper›PMID 34822069›Full record

ReviewMolecular biology reports2022

Codon usage bias.

Sujatha Thankeswaran Parvathy, Varatharajalu Udayasuriyan, Vijaipal Bhadana

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular biology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 330 papers.

0numbers the graph read from it
0cells of the map it votes in
330citing papers in PubMed
36.4field-weighted citation impact, top 1% 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

330 citing papers in PubMed, 558 citations in OpenAlex.

  1. Article
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  7. Review
  8. Emergence Biases in Molecular Evolution.Genome biology and evolution · 2026
    Review
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270 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Sujatha Thankeswaran ParvathyICAR-Indian Institute of Agricultural Biotechnology, Ranchi, Jharkhand, 834010, India. sujatha.parvathy@icar.gov.in.ORCID http://orcid.org/0000-0002-5049-805X
Varatharajalu UdayasuriyanDepartment of Biotechnology, Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore, 641003, India.ORCID http://orcid.org/0000-0001-9325-5683
Vijaipal BhadanaICAR-Indian Institute of Agricultural Biotechnology, Ranchi, Jharkhand, 834010, India.ORCID http://orcid.org/0000-0003-2468-5545
ICAR-Indian Institute of Agricultural Biotechnology · INTamil Nadu Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Codon usage bias is the preferential or non-random use of synonymous codons, a ubiquitous phenomenon observed in bacteria, plants and animals. Different species have consistent and characteristic codon biases. Codon bias varies not only with species, family or group within kingdom, but also between the genes within an organism. Codon usage bias has evolved through mutation, natural selection, and genetic drift in various organisms. Genome composition, GC content, expression level and length of genes, position and context of codons in the genes, recombination rates, mRNA folding, and tRNA abundance and interactions are some factors influencing codon bias. The factors shaping codon bias may also be involved in evolution of the universal genetic code. Codon-usage bias is critical factor determining gene expression and cellular function by influencing diverse processes such as RNA processing, protein translation and protein folding. Codon usage bias reflects the origin, mutation patterns and evolution of the species or genes. Investigations of codon bias patterns in genomes can reveal phylogenetic relationships between organisms, horizontal gene transfers, molecular evolution of genes and identify selective forces that drive their evolution. Most important application of codon bias analysis is in the design of transgenes, to increase gene expression levels through codon optimization, for development of transgenic crops. The review gives an overview of deviations of genetic code, factors influencing codon usage or bias, codon usage bias of nuclear and organellar genes, computational methods to determine codon usage and the significance as well as applications of codon usage analysis in biological research, with emphasis on plants.

Indexed as

CodonCodon UsageAnimalsAnticodonBase CompositionBiological EvolutionComputational BiologyDatabases, GeneticEpistasis, GeneticEvolution, MolecularGene Expression RegulationGene Expression Regulation, PlantHumansProtein BiosynthesisRNA, TransferSelection, GeneticAnticodonCodonRNA, TransferAnticodonCodon adaptationCodon optimizationCUB indicesGenetic codeSynonymous codontRNA abundance

Identifiers

PMID34822069
PMCPMC8613526
OpenAlexW3217031179

What OpenQuestion holds

Textmetadata
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.