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Detalle de: Dissimilar conservation pattern in hepatitis C virus mutant spectra, consensus sequences, and data banks

Title Dissimilar conservation pattern in hepatitis C virus mutant spectra, consensus sequences, and data banks
Abstract

The influence of quasispecies dynamics on long-term virus diversification in nature is a largely unexplored question. Specifically, whether intra-host nucleotide and amino acid variation in quasispecies fits variation observed in consensus sequences or data bank alignments is unknown. Genome conservation and dynamics simulations are used for the computational design of universal vaccines, therapeutic antibodies and pan-genomic antiviral agents. The expectation is that selection of escape mutants will be limited when mutations at conserved residues are required. This strategy assumes long-term (epidemiologically relevant) conservation but, critically, does not consider short-term (quasispecies-dictated) residue conservation. We have calculated mutant frequencies of individual loci from mutant spectra of hepatitis C virus (HCV) populations passaged in cell culture and from infected patients. Nucleotide or amino acid conservation in consensus sequences of the same populations, or in the Los Alamos HCV data bank did not match residue conservation in mutant spectra. The results relativize the concept of sequence conservation in viral genetics, and suggest that residue invariance in data banks is an insufficient basis for the design of universal viral ligands for clinical purposes. Our calculations suggest relaxed mutational restrictions during quasispecies dynamics, which may contribute to higher calculated short-term than long-term viral evolutionary rates.

Apa Reference García-Crespo, C., Soria, M.E., Gallego, I., de Ávila, A.I., Martínez-González, B., Vázquez-Sirvent, L., Gómez, J., Briones, C., Gregori, J., Quer, J., Perales, C. & Domingo, E. (2020). Dissimilar conservation pattern in hepatitis C virus mutant spectra, consensus sequences, and data banks. 10.1101/2020.07.03.186171
Doi 10.1101/2020.07.03.186171
Publication Date 3 Jul 2020
Publication Type Preprint
Researcher Carlos Briones Llorente
Ontology Genomics, Computational models and simulations, Molecular evolution, Conservation Analysis, Mutation Analysis and design, Evolutionary rates, Molecular Interactions/Docking, Comparative Genomics
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