An overview of dinucleotide and codon usage in all viruses

Codon usage bias analysis of the gene encoding NAD+-dependent DNA ligase protein of Invertebrate iridescent virus 6

The genome of Invertebrate iridescent virus 6 (IIV6) contains a sequence that shows similarity to eubacterial NAD+-dependent DNA ligases. The 615-amino acid open reading frame (ORF 205R) consists of several domains, including an N-terminal domain Ia, followed by an adenylation domain, an OB-fold domain, a helix-hairpin-helix (HhH) domain, and a BRCT domain. Notably, the zinc finger domain, typically present in NAD+-dependent DNA ligases, is absent in ORF 205R. Since the protein encoded by ORF 205R (IIV6 DNA ligase gene) is involved in critical functions such as DNA replication, modification, and repair, it is crucial to comprehend the codon usage associated with this gene. In this paper, the codon usage bias (CUB) in DNA ligase gene of IIV6 and 11 reference iridoviruses was analyzed by comparing the nucleotide contents, relative synonymous codon usage (RSCU), effective number of codons (ENC), codon adaptation index (CAI), relative abundance of dinucleotides and other indices. Both the base content and the RCSU analysis indicated that the A- and T-ending codons were mostly favored in the DNA ligase gene of IIV6. The ENC value of 35.64 implied a high CUB in the IIV6 DNA ligase gene. The ENC plot, neutrality plot, parity rule 2 plot, correspondence analysis revealed that mutation pressure and natural selection had an impact on the CUB of the IIVs DNA ligase genes. Additionally, the analysis of codon adaptation index demonstrated that the IIV6 DNA ligase gene is strongly adapted to its host. These findings will improve our comprehension of the CUB of IIV6 DNA ligase and reference genes, which may provide the required information for a fundamental evolutionary analysis of these genes.

Evolution and diversity of nucleotide and dinucleotide composition in poxviruses

Poxviruses (family Poxviridae) have long dsDNA genomes and infect a wide range of hosts, including insects, birds, reptiles and mammals. These viruses have substantial incidence, prevalence and disease burden in humans and in other animals. Nucleotide and dinucleotide composition, mostly CpG and TpA, have been largely studied in viral genomes because of their evolutionary and functional implications. We analysed here the nucleotide and dinucleotide composition, as well as codon usage bias, of a set of representative poxvirus genomes, with a very diverse host spectrum. After correcting for overall nucleotide composition, entomopoxviruses displayed low overall GC content, no enrichment in TpA and large variation in CpG enrichment, while chordopoxviruses showed large variation in nucleotide composition, no obvious depletion in CpG and a weak trend for TpA depletion in GC-rich genomes. Overall, intergenome variation in dinucleotide composition in poxviruses is largely accounted for by variation in overall genomic GC levels. Nonetheless, using vaccinia virus as a model, we found that genes expressed at the earliest times in infection are more CpG-depleted than genes expressed at later stages. This observation has parallels in betahepesviruses (also large dsDNA viruses) and suggests an antiviral role for the innate immune system (e.g. via the zinc-finger antiviral protein ZAP) in the early phases of poxvirus infection. We also analysed codon usage bias in poxviruses and we observed that it is mostly determined by genomic GC content, and that stratification after host taxonomy does not contribute to explaining codon usage bias diversity. By analysis of within-species diversity, we show that genomic GC content is the result of mutational biases. Poxvirus genomes that encode a DNA ligase are significantly AT-richer than those that do not, suggesting that DNA repair systems shape mutation biases. Our data shed light on the evolution of poxviruses and inform strategies for their genetic manipulation for therapeutic purposes.

Protein-protein interaction and non-interaction predictions using gene sequence natural vector

Predicting protein–protein interaction and non-interaction are two important different aspects of multi-body structure predictions, which provide vital information about protein function. Some computational methods have recently been developed to complement experimental methods, but still cannot effectively detect real non-interacting protein pairs. We proposed a gene sequence-based method, named NVDT (Natural Vector combine with Dinucleotide and Triplet nucleotide), for the prediction of interaction and non-interaction. For protein–protein non-interactions (PPNIs), the proposed method obtained accuracies of 86.23% for Homo sapiens and 85.34% for Mus musculus, and it performed well on three types of non-interaction networks. For protein-protein interactions (PPIs), we obtained accuracies of 99.20, 94.94, 98.56, 95.41, and 94.83% for Saccharomyces cerevisiae, Drosophila melanogaster, Helicobacter pylori, Homo sapiens, and Mus musculus, respectively. Furthermore, NVDT outperformed established sequence-based methods and demonstrated high prediction results for cross-species interactions. NVDT is expected to be an effective approach for predicting PPIs and PPNIs.

Protein-protein non-interactions and interactions are distinguished and predicted by gene sequence using single nucleotide and contiguous nucleotides combined with machine learning models.