ArticleGenome biology and evolution2013
Evolution of codon usage in the smallest photosynthetic eukaryotes and their giant viruses.
Article in Genome biology and evolution, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 31 citations in OpenAlex.
- A giant virus forms a specialized subcellular environment within its amoeba host for efficient translation.Nature microbiology · 2026Article
- Genomic analysis ofVirus evolution · 2026Article
- Novel High-Quality Amoeba Genomes Reveal Widespread Codon Usage Mismatch Between Giant Viruses and Their Hosts.Genome biology and evolution · 2025Article
- Article
- Nucleotide Composition and Codon Usage Across Viruses and Their Respective Hosts.Frontiers in microbiology · 2021Article
- The medium-size noncoding RNA transcriptome ofNAR genomics and bioinformatics · 2020Article
- Diversity of tRNA Clusters in the Chloroviruses.Viruses · 2020Article
- Two classes of EF1-family translational GTPases encoded by giant viruses.Nucleic acids research · 2019Article
- Simplified Transformation ofGenes · 2019Article
- Phylogenetic analysis of the core histone doublet and DNA topo II genes of Marseilleviridae: evidence of proto-eukaryotic provenance.Epigenetics & chromatin · 2017Article
- Significant differences in terms of codon usage bias between bacteriophage early and late genes: a comparative genomics analysis.BMC genomics · 2017Article
- Evolutionary interpretations of mycobacteriophage biodiversity and host-range through the analysis of codon usage bias.Microbial genomics · 2016Article
- Coevolution mechanisms that adapt viruses to genetic code variations implemented in their hosts.Journal of genetics · 2016Article
- An improved genome of the model marine alga Ostreococcus tauri unfolds by assessing Illumina de novo assemblies.BMC genomics · 2014Article
- Effective population size does not predict codon usage bias in mammals.Ecology and evolution · 2014Article
- Complex codon usage pattern and compositional features of retroviruses.Computational and mathematical methods in medicine · 2013Article
- Article
Corrections and comments
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Authors and funding
9 authors at 7 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prasinoviruses are among the largest viruses (>200 kb) and encode several hundreds of protein coding genes, including most genes of the DNA replication machinery and several genes involved in transcription and translation, as well as transfer RNAs (tRNAs). They can infect and lyse small eukaryotic planktonic marine green algae, thereby affecting global algal population dynamics. Here, we investigate the causes of codon usage bias (CUB) in one prasinovirus, OtV5, and its host Ostreococcus tauri, during a viral infection using microarray expression data. We show that 1) CUB in the host and in the viral genes increases with expression levels and 2) optimal codons use those tRNAs encoded by the most abundant host tRNA genes, supporting the notion of translational optimization by natural selection. We find evidence that viral tRNA genes complement the host tRNA pool for those viral amino acids whose host tRNAs are in short supply. We further discuss the coevolution of CUB in hosts and prasinoviruses by comparing optimal codons in three evolutionary diverged host-virus-specific pairs whose complete genome sequences are known.
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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.