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SARS-CoV-2 host prediction based on virus-host genetic features

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Autor(es):
Kawashima, Irina Yuri ; Negret Lopez, Maria Claudia ; Cunha, Marielton dos Passos ; Hashimoto, Ronaldo Fumio
Número total de Autores: 4
Tipo de documento: Artigo Científico
Fonte: SCIENTIFIC REPORTS; v. 12, n. 1, p. 9-pg., 2022-03-17.
Resumo

The genetic diversity of the Coronaviruses gives them different biological abilities, such as infect different cells and/or organisms, a wide spectrum of clinical manifestations, their different routes of dispersion, and viral transmission in a specific host. In recent decades, different Coronaviruses have emerged that are highly adapted for humans and causing serious diseases, leaving their host of unknown origin. The viral genome information is particularly important to enable the recognition of patterns linked to their biological characteristics, such as the specificity in the host-parasite relationship. Here, based on a previously computational tool, the Seq2Hosts, we developed a novel approach which uses new variables obtained from the frequency of spike-Coronaviruses codons, the Relative Synonymous Codon Usage (RSCU) to shed new light on the molecular mechanisms involved in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) host specificity. By using the RSCU obtained from nucleotide sequences before the SARS-CoV-2 pandemic, we assessed the possibility of know the hosts capable to be infected by these new emerging species, which was first identified infecting humans during 2019 in Wuhan, China. According to the model trained and validated using sequences available before the pandemic, bats are the most likely the natural host to the SARS-CoV-2 infection, as previously suggested in other studies that searched for the host viral origin. (AU)

Processo FAPESP: 15/22308-2 - Representações intermediárias em Ciência Computacional para descoberta de conhecimento
Beneficiário:Roberto Marcondes Cesar Junior
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 19/24518-5 - Estratégia integrada para o estudo de agentes infecciosos causadores de doenças emergentes e/ou negligenciadas transmitidas por vetores de impacto global
Beneficiário:Marielton dos Passos Cunha
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado