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We applied an NGS based target capture approach to amplify HPgV-2 sequences from metagenomic libraries and enable full genome characterization. Despite expanded geographical sampling, sequence variability remains low, with diversity concentrated in approximately 3.3% of all amino acids. Serial samples from one HPgV-2 positive individual co-infected with comparable titers of HIV, HCV, and GBV-C showed that HPgV-2 remains highly stable over several weeks compared to other RNA viruses, despite a similarly error-prone polymerase. The consistent epidemiological association with and structural similarities to HCV, and the weak positive correlation of HCV and HPgV-2 titers shown here, suggests it may benefit from co-infection. While minimal selective pressure on HPgV-2 to evolve could suggest fitness, the rarity of HPgV-2 and the tight phylogenetic clustering of global strains likely indicates origination from a common source and a virus that is ill-suited to its host. Sporadic infections may explain the limited genetic diversity observed worldwide.
Pubmed ID: 31689572
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A sequence analysis tool providing a simple but detailed analysis of human genes and their variations. For each gene, a gene-gene relationship network can be generated based on protein-protein interaction data, metabolic pathway connections and extended through phylogenetic relations. Snap provides tools for designing sequence primers and evaluating RNA splicing effects of single SNPs - known from the databases or defined by you. Primers can be designed for the amplification or sequencing of cDNA, genomic DNA, introns only or exons only.
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