ArticleMicrobial genomics2024
Systematic analysis of the codon usage patterns of African swine fever virus genome coding sequences reveals its host adaptation phenotype.
Article in Microbial genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Live-Attenuated Vaccines Against African Swine Fever: Strategies, Lessons, and Prospects.Biology · 2026Review
- Unlocking the Black Box: The Molecular Dialogue Between ASFV and Its Tick Host.Pathogens (Basel, Switzerland) · 2026Review
- Codon Usage Bias Analysis of Citrus Leaf Blotch Virus.Viruses · 2025Article
- Host-similar fragments in the African swine fever virus genome: distribution, functions, and evolution.Veterinary research · 2025Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
African swine fever (ASF) is a severe haemorrhagic disease caused by the African swine fever virus (ASFV), transmitted by ticks, resulting in high mortality among domestic pigs and wild boars. The global spread of ASFV poses significant economic threats to the swine industry. This study employs diverse analytical methods to explore ASFV's evolution and host adaptation, focusing on codon usage patterns and associated factors. Utilizing phylogenetic analysis methods including neighbour-joining and maximum-likelihood, 64 ASFV strains were categorized into four clades. Codon usage bias (CUB) is modest in ASFV coding sequences. This research identifies multiple factors - such as nucleotide composition, mutational pressures, natural selection and geographical diversity - contributing to the formation of CUB in ASFV. Analysis of relative synonymous codon usage reveals CUB variations within clades and among ASFVs and their hosts. Both Codon Adaptation Index and Similarity Index analyses confirm that ASFV strains are highly adapted to soft ticks (
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