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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Stochastic Modeling and Simulation of Viral Evolution

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Autor(es):
Fabreti, Luiza Guimaraes [1] ; Castro, Diogo [1] ; Gorzoni, Bruno [1] ; Ramos Janini, Luiz Mario [2] ; Antoneli, Fernando [3]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Univ Fed Sao Paulo, Programa Posgrad Infectol, Sao Paulo, SP - Brazil
[2] Univ Fed Sao Paulo, Dept Microbiol Imunol Parasitol & Med, Lab Retrovirol, Sao Paulo, SP - Brazil
[3] Univ Fed Sao Paulo, Dept Informat Saude, Lab Biocomplexidade & Genom Evolut, Sao Paulo, SP - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: Bulletin of Mathematical Biology; v. 81, n. 4, p. 1031-1069, APR 2019.
Citações Web of Science: 0
Resumo

RNA viruses comprise vast populations of closely related, but highly genetically diverse, entities known as quasispecies. Understanding the mechanisms by which this extreme diversity is generated and maintained is fundamental when approaching viral persistence and pathobiology in infected hosts. In this paper, we access quasispecies theory through a mathematical model based on the theory of multitype branching processes, to better understand the roles of mechanisms resulting in viral diversity, persistence and extinction. We accomplish this understanding by a combination of computational simulations and the theoretical analysis of the model. In order to perform the simulations, we have implemented the mathematical model into a computational platform capable of running simulations and presenting the results in a graphical format in real time. Among other things, we show that the establishment of virus populations may display four distinct regimes from its introduction into new hosts until achieving equilibrium or undergoing extinction. Also, we were able to simulate different fitness distributions representing distinct environments within a host which could either be favorable or hostile to the viral success. We addressed the most used mechanisms for explaining the extinction of RNA virus populations called lethal mutagenesis and mutational meltdown. We were able to demonstrate a correspondence between these two mechanisms implying the existence of a unifying principle leading to the extinction of RNA viruses. (AU)

Processo FAPESP: 14/13382-1 - Modelagem computacional de populações de vírus RNA e da evolução de sua diversidade fenotípica
Beneficiário:Luiza Guimarães Fabreti
Modalidade de apoio: Bolsas no Brasil - Iniciação Científica