biostudies-literatureWitt ASAMinistry of Science and TechnologyCoordenação de Aperfeiçoamento de Pessoal de Nível Superior3373-3387https://www.ebi.ac.uk/biostudies/studies/S-EPMC11711839biostudies-literatureUnknown55(4)Genomic studies on sequence composition employ various approaches, such as calculating the proportion of guanine and cytosine within a given sequence (GC% content), which can shed light on various aspects of the organism's biology. In this context, GC% can provide insights into virus-host relationships and evolution. Here, we present a comprehensive gene-by-gene analysis of 61 representatives belonging to the phylum Nucleocytoviricota, which comprises viruses with the largest genomes known in the virosphere. Parameters were evaluated not only based on the average GC% of a given viral species compared to the entire phylum but also considering gene position and phylogenetic history. Our results reveal that while some families exhibit similar GC% among their representatives (e.g., MarseilleviBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]The GC% landscape of the Nucleocytoviricota.PMC1171183988882.348380/2010-1406441/2022-7405249/2022-5Serafim MSMCarvalho JVRPArias NECWitt ASARodrigues RALAbrahao JSfalseThe GC% landscape of the Nucleocytoviricota.Genomic studies on sequence composition employ various approaches, such as calculating the proportion of guanine and cytosine within a given sequence (GC% content), which can shed light on various aspects of the organism's biology. In this context, GC% can provide insights into virus-host relationships and evolution. Here, we present a comprehensive gene-by-gene analysis of 61 representatives belonging to the phylum Nucleocytoviricota, which comprises viruses with the largest genomes known in the virosphere. Parameters were evaluated not only based on the average GC% of a given viral species compared to the entire phylum but also considering gene position and phylogenetic history. Our results reveal that while some families exhibit similar GC% among their representatives (e.g., Marseillevi2024-01-01T00:00:00Z2024 Dec2026-07-15T05:58:03.629Z2026-06-30T03:16:06.069ZS-EPMC117118393918070810.1007/s42770-024-01496-7