Evidence map›Paper›PMID 39832535›Full record

ArticleVirus research2025

Analysis of synonymous codon usage bias of Lassa virus.

Siddiq Ur Rahman, Yikui Hu, Hassan Ur Rehman, May M Alrashed, Kotb A Attia, Ubaid Ullah, Huiying Liang

Abstract read
In one paragraph

Article in Virus research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Codon Usage Bias of the Polyphenol Oxidase Genes inPlants (Basel, Switzerland) · 2025
    Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Siddiq Ur RahmanMedical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province 510080, PR China; Department of Computer Science & Bioinformatics, Khushal Khan Khattak University, Karak, Khyber Pakhtunkhwa, 27200, Pakistan.
Yikui HuDepartment of Neurology, Wuhan Wuchang Hospital, Wuhan, PR China.
Hassan Ur RehmanDepartment of Computer Science & Bioinformatics, Khushal Khan Khattak University, Karak, Khyber Pakhtunkhwa, 27200, Pakistan.
May M AlrashedDepartment of Clinical Laboratory Science, College of Applied Medical Sciences, King Saud University, P.O. Box 2455, 11451 Riyadh, Saudi Arabia.
Kotb A AttiaDepartment of Biochemistry, College of Science, King Saud University, P.O. Box 2455, 11451 Riyadh, Saudi Arabia. Electronic address: kattia1.c@ksu.edu.sa.
Ubaid UllahDepartment of Computer Science & Bioinformatics, Khushal Khan Khattak University, Karak, Khyber Pakhtunkhwa, 27200, Pakistan.
Huiying LiangMedical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province 510080, PR China. Electronic address: lianghuiying@gdph.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lassa virus genome consists of two single-stranded, negative-sense RNA segments that lie in the genus Arenavirus. The disease associated with the Lassa virus is distributed all over the world, with approximately 3,000,000-5,000,000 infections diagnosed annually in West Africa. It shows high health risks to the human being. Previous research used the evolutionary time scale and adaptive evolution to describe the Lassa virus population pattern. However, it is still unclear how the Lassa virus takes advantage of synonymous codons. In this study, we analyzed the codon usage bias in 162 Lassa virus strains by calculating and comparing the nucleotide contents, effective number of codons (ENC), codon adaptation index (CAI), relative synonymous codon usage (RSCU), and others. The results disclosed that LASV strains are rich in A/T. The average ENC value indicated a low codon usage bias in LASVs. The ENC-plot, neutrality plot and parity rule 2 plot demonstrated that, besides mutational pressure, other factors like natural selection also contributed to codon usage bias. This study is significant because it described the pattern of codon usage in the genomes of the Lassa viruses and provided the information needed for a fundamental evolutionary study of them.

Indexed as

CodonCodon UsageLassa virusBase CompositionEvolution, MolecularGenome, ViralHumansLassa FeverSelection, GeneticCodonCodon usageEffective number of codons (ENC)Lassa virusMutation pressureNatural selection

Identifiers

PMID39832535
PMCPMC11815952

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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.